fix(help): the help bundle carries the artifact version (Maven-filtered) instead of a hardcoded SNAPSHOT

On release branches the bundle's version and the producer's differed, so the
bundle test that asserts they match failed, and released bundles recorded
SNAPSHOT as their provenance. help/*.yaml is now filtered:
version: ${project.version}.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

.circleci/config.yml

@@ -1,7 +1,7 @@
 version: 2.1
 
 orbs:
-   qqq-orb: kingsrook/qqq-orb@0.6.8
+   qqq-orb: kingsrook/qqq-orb@0.6.9
 
 commands:
    configure-package-install:

CHANGELOG.md

@@ -6,6 +6,53 @@ Following [Keep a Changelog](https://keepachangelog.com/en/1.1.0/) and [Semantic
 
 ### Added
 
+- Complete host-neutral in-app help bundle with live metadata references and a core help coverage gate.
+
+- Analysis Settings table action **Create rows for analyzable tables**: writes the effective settings as editable `data_analysis_table_config` rows (insert-only, no change in behavior).
+- Setup card on the Analyses home (settings, result cache, saved analyses, watches, schedules).
+- Help bundle `help/qbit-data-analysis.yaml`: every table says what it is for and how its rows get created.
+- `DataAnalysisTablesGuardrailTest` and `TableConfigDefaultsTest` (including a test that a settings row's `cache_ttl_minutes` changes result caching).
+- Phase f saved execution for all seven kinds, core owner-or-shared READ with owner-only WRITE, typed definition validation and viewer-specific field reduction.
+- Idempotent personal star endpoints and visible saved list; transient viewer runs, core CSV/XLSX downloads and QueryStat-backed SQL Workbench handoff.
+- Five-minute owner-session schedule runner, per-recipient FULL access checks and record-scoped reruns, core messaging with attachments, explicit failure statuses/alerts, timezone/weekly/monthly/cron timing and streamed ETL Send now.
+- Standard statistics/chart/table dashboard widgets, linked saved analysis widgets and real home rows with narrow tables and honest empty states.
+- Extension 1.4.0, seven new assistant-discoverable endpoints, regenerated OpenAPI and memory/H2/HTTP/export/email/security regression coverage.
+- Migration requirement: backfill saved `read_owner_user_id` before enabling shared reads and widen schedule `last_status` to TEXT. Stock core EMAIL attachment limitations fail visibly; supported messaging providers receive full attachments.
+
+- Phase e anomaly watches: owner-locked configuration, validated metrics/detector parameters, complete calendar buckets, five pure detectors, and scheduled evaluation through owner sessions.
+- Core alerts SPI type `data.analysis.anomaly` (core disallows the spec's underscore), stable watch keys, relative drill links, raise/recovery transitions, and persisted outcomes without an alerts implementation.
+- Standard streamed ETL Evaluate now / Enable / Disable record actions and firing-first linked watches on the Analyses home.
+- Read-only watch preview HTTP endpoint, semantic chart/baseline annotations, extension 1.3.0 and regenerated OpenAPI fragment.
+- Detector edge cases, real-row owner/security/alert transition tests, calendar boundary and action tests, and HTTP preview coverage.
+
+- Phase d compare, shift, correlation, scatter and crosstab service operations and HTTP specs; extension version 1.2.0 with typed `DataAnalysis*V1` schemas and regenerated OpenAPI.
+- Pure-Java two-proportion, Welch, chi-square/Cramer V, PSI and Pearson statistics, including regularized incomplete beta/gamma and independent SciPy references.
+- Core-pushed numeric moments and batched correlations, sample trend lines, calendar distribution shifts, category pooling, privacy suppression and exact count drills.
+- Shared memory/H2/PostgreSQL relationship contracts, forced core streamed-fallback checks, batching checks and HTTP authorization/serialization/drill tests.
+
+- Phase c pivot backend and `POST /qbit/data-analysis/tables/{table}/pivot`, extension version 1.1.0, typed schemas and regenerated OpenAPI fragment.
+- Row/column dimensions, calendar/numeric buckets, seven measure operators, sparse cells, exact Other recomputation, totals, privacy suppression and count-equivalent drills.
+- Exposed-join dimensions and measures with READ/FULL checks; filter-only drills for to-one paths and explicit null-drill warnings for to-many paths whose joined-row counts can exceed record counts.
+- Configurable field-access resolver, cached reflective core tier bridge with legacy fallback, FULL-only capabilities/selections/labels, generated-drill protection and field-access cache fingerprints.
+- Shared memory/H2/PostgreSQL pivot contracts, HTTP drills and errors, reflective resolver/fallback and tier-change cache tests.
+
+- Session-bound profile, capability, distinct-value, duplicate and run endpoints, typed schemas and a checked OpenAPI fragment (introduced in extension 1.0.0).
+- Core table-feature permission registration and capability-directed aggregate pushdown, with native sampling and portable streamed fallbacks.
+- HTTP authorization, drill-to-core-count round trips, async polling, served OpenAPI and assistant discovery tests; H2 streamed and native-compatibility contract variants.
+
+### Changed
+
+- Pin QQQ 4.1.0-RC.7 and replace the temporary help loader with core bundle registration and startup sync.
+
+- Boolean pivot/crosstab headers now say Yes / No / (Blank). Pivot measures use human labels such as Count, Average Amount, Sum of Amount, Distinct Email, Median Amount and 90th percentile of Amount.
+- Watch DDL includes owner/date fields and last value/message; existing databases need an owner/date backfill before enabling watches.
+
+- Scalable estimates sample each native aggregate without primary-key IN lists, scale counts using observed sample sizes, retain exact population totals and unscaled ratios, and drill over the full population. Portable estimates use one primary-key boundary and report unscaled prefix counts.
+
+- Empty-string and temporal drills round-trip through core HTTP filter interpretation.
+
+### Previously added
+
 - Phase b host engine: typed column/table profiles, distinct pages, duplicates, count-equivalent drills, chart data, candidate keys and completeness heatmaps.
 - Internal `AnalysisBackend` port and RC.5 stand-in with aggregate pushdown, bounded query pages, deterministic prefix estimates and honest truncation metadata.
 - Personalized field/table authorization, enforced FK label lookup, runtime configuration overrides and minimum-group-size privacy before caching.

README.md

@@ -4,15 +4,15 @@ Statistical analysis and data dives on any QQQ table, filter or saved view: prof
 
 ## What works now
 
-The host API provides column and table profiles, distinct-value pages, duplicate groups, drill-through filters, effective per-table configuration, privacy suppression, and asynchronous exact runs with a persistent per-user cache. Metadata, six visible tables, owner locks, PostgreSQL DDL generation and the Analyses home are also available.
+The host API provides column and table profiles, pivots, comparisons, distribution shifts, correlations, scatter samples, crosstabs, distinct-value pages, duplicate groups, drill-through filters, privacy suppression, and asynchronous exact profile runs with a persistent per-user cache. Metadata, six visible tables, owner locks, PostgreSQL DDL generation and the Analyses home are also available.
 
-HTTP endpoints require the QQQ RC.6 extension point and are next, along with the Analyze UI. Pivots, comparisons, anomalies, saved-analysis execution, scheduling and exports remain later phases.
+Twenty-one HTTP operations are available under `/qqq/v1/qbit/data-analysis` (extension **1.4.0**). Saved execution, shared reads, personal stars, scheduled email, CSV/XLSX exports, SQL Workbench handoff and standard dashboard widgets are implemented. The separate Analyze/pivot/relationship frontend remains outside this repository.
 
 ## Requirements
 
-- Java 21; QQQ **4.1.0-RC.5+**.
+- Java 21; QQQ **4.1.0-RC.7+**.
 - A configured QQQ backend for the qbit tables and authenticated sessions with permissions and security keys.
-- The engine works on RC.5 through an internal stand-in. A future `CoreAnalysisBackend` can replace it when the core aggregate extensions ship. HTTP endpoints require the UI API extension point ([qqq#1128](https://github.com/QRun-IO/qqq/pull/1128), RC.6).
+- Core aggregate and table-feature permission APIs ([qqq#1139](https://github.com/QRun-IO/qqq/pull/1139)) and the UI API extension point ([qqq#1128](https://github.com/QRun-IO/qqq/pull/1128)). Middleware Javalin remains optional; the producer registers endpoints only when it is present.
 
 ## Install
 
@@ -32,6 +32,16 @@ new DataAnalysisQBitProducer()
 
 The producer installs metadata into the instance. It scans only `com.kingsrook.qbits.dataanalysis.metadata`; helpers and renderers are not scanned as component producers. Set `withParentAppName("admin")` to nest the app under an existing parent.
 
+## Starter defaults and setup
+
+Data Analysis ships no SQL seed: `data_analysis_table_config` depends on which tables the host has and on the code configuration (`defaultMaxRows`, `tableDefaults`, `includeTables`, `excludeTables` and the other defaults), so its rows are computed at run time.
+
+- With no rows, every analyzable table is on with the configured defaults. That is a complete, working setup.
+- Open Analysis Settings and run the table action **Create rows for analyzable tables**. It adds one row per analyzable table that has none, holding the settings that already apply (table defaults over global defaults). Nothing changes until you edit a row. It is insert-only: it never touches an existing row, and running it again only adds rows for tables added since.
+- Rows pin their values: after a row exists, later changes to the code defaults do not reach that table, edit the row instead. `cache_ttl_minutes` is what the exact-run result cache uses for that table (0 turns caching off); `TableConfigDefaultsTest` proves a row changes caching.
+- The **Setup** card on the Analyses home lists settings, result cache, saved analyses, watches and schedules with their state and next step, using the same resolution the runtime uses.
+- Every table has help (shown when it is empty) that says how its rows get created. Saved analyses, stars, schedules, watches and runs are user content or logs and start empty by design.
+
 ## Tables
 
 QQQ names and physical SQL table names are identical. `backendName` in configuration identifies the backend connection; it is not a SQL table name. All tables have `id`, `createDate` and `modifyDate`; SQL columns use inferred snake_case names.
@@ -47,6 +57,8 @@ QQQ names and physical SQL table names are identical. `backendName` in configura
 
 Only Saved Analyses, Watches, Analysis Settings and Analysis Runs appear in navigation. Schedules, stars and linked watches appear on saved records. Enum PVS cover analysis kind, chart kind, detector, watch state, run status, schedule frequency and format. JSON definitions and results are stored as text. Profile, distinct-value and duplicate requests have typed Java contracts and are validated by the facade.
 
+The four `table_name` fields use core's `tables` possible-value source; an existing host source is preserved. A watch's `saved_id` options are filtered by its selected `table_name`. Analysis Settings' `analyzable_fields` and `excluded_fields` use a custom field picker scoped to the selected table. Core currently has no multi-select PVS field, so these settings use a single PVS with comma-separated TEXT storage (for example, `amount,status`); the configuration resolver continues to parse those lists. Explicit dependency metadata awaits core's `possibleValueSourceDependsOn` support.
+
 ## Permissions
 
 | Permission | Grants |
@@ -58,13 +70,13 @@ Only Saved Analyses, Watches, Analysis Settings and Analysis Runs appear in navi
 | `data_analysis.admin` | The all-access key of the `data_analysis_user` record locks (see Security) |
 | `<effective table permission base>.analyze` | Analyze a source table, also requiring its READ permission |
 
-`DataAnalysisPermissions.analyzePermissionName(table)` honors a custom permission base name and instance defaults. `canAnalyze(table)` is the legacy helper; its READ check follows the instance setting. The engine adds an explicit READ check and always uses `PermissionEnforcement.ENFORCE`, even when the instance default is off. The feature check is a stand-in for core `TableFeaturePermissionsMetaData` (§3.6); hosts must grant these analyze names explicitly until that hook registers them in the catalog. All qbit tables use standard permission rules (no custom checker), so their CRUD permissions appear in the core permission catalog and the qbit-authentik policy editor. Hosts explicitly grant source-table analyze permissions until the core feature hook ships.
+`DataAnalysisPermissions.analyzePermissionName(table)` honors the effective table permission base. `canAnalyze(table)` delegates to core's table-feature permission check. The producer registers `analyze`, labelled **Analyze**, on configured source tables, excluding this qbit's own tables. No CRUD permission implies analyze. Core checks READ as well as the feature grant on protected tables. All analysis queries enforce permissions even when the instance default is off. Qbit CRUD permissions also appear in the core catalog.
 
 ## Security
 
 Every engine operation and home count runs under the current `QContext` session with `PermissionEnforcement.ENFORCE`. A denied section explains the missing permission instead of showing zero. Mine and starred counts explicitly filter the current user even for administrators. Shared counts include only readable shared rows. Stars pointing at unreadable or deleted saved analyses do not count. Run counts cover starts within the last seven days, excluding future rows.
 
-Saved analyses have a READ_AND_WRITE lock on `owner_user_id`; stars and runs have locks on `user_id`. Schedules inherit the saved analysis owner's lock through their join. Null owners are denied. The host's authentication/session adapter must supply:
+Saved analyses have a WRITE lock on `owner_user_id` and a separate READ lock on the hidden `read_owner_user_id` projection. Core pre-insert/update customizers set that projection to the owner for private rows and null for shared rows; the READ lock allows null. This expresses **owner OR shared READ**, while core retains owner-only writes and administrator all-access keys. Stars and runs have locks on `user_id`. Schedules inherit the saved analysis owner's lock through their join. Null owners are denied. The host's authentication/session adapter must supply:
 
 ```java
 session.withSecurityKeyValue("data_analysis_user", session.getUser().getIdReference());
@@ -75,7 +87,18 @@ session.withPermission("data_analysis.admin")
 
 QQQ permissions and security-key values are separate. An admin permission alone does not bypass record locks. User-id fields must use the same stable string identity as `QUser.idReference`.
 
-**Shared READ is deliberately restricted in this scaffold.** The ordinary owner lock does not express owner OR shared while keeping writes owner-only, so setting `shared=true` currently does not expose a saved analysis to other users. Phase f will introduce separate read and write policies: reads permit owner OR shared only after checking `data_analysis.saved.read`; writes retain owner/admin checks. Query, get, count, joins, child lists and exports will receive cross-user regression tests before enabling shared READ. Collaboration sharing and favorites (§7.3, qqq#1136) will then replace the local sharing/star contracts. Shared analyses must always execute as their viewer.
+**Shared READ is enabled through core record locks.** A viewer still needs `data_analysis.saved.read`. Query/get/count, standard CRUD, saved runs, lists and exports use core enforcement. Shared viewers cannot edit, delete, change ownership, or schedule another owner's analysis. No custom query filter grants access. Sharing exposes the saved definition and metadata, not the owner's data: every run computes under the viewer's source-table READ/Analyze permissions and field policy. There is no per-recipient/group sharing or access-request workflow yet; collaboration's sharing contract ([qqq#1136](https://github.com/QRun-IO/qqq/issues/1136)) will replace the local flag. Stars move to `collaboration_favorite` when collaboration ships.
+
+**Existing databases must migrate before enabling the new metadata.** A missing/null read-owner projection would make an old private row readable. Apply this through the host's migration system while writes are stopped, before deploying this version:
+
+```sql
+ALTER TABLE data_analysis_saved ADD COLUMN IF NOT EXISTS read_owner_user_id VARCHAR(250);
+UPDATE data_analysis_saved
+   SET read_owner_user_id = CASE WHEN shared IS TRUE THEN NULL ELSE owner_user_id END;
+ALTER TABLE data_analysis_schedule ALTER COLUMN last_status TYPE TEXT;
+```
+
+The metadata-generated create script includes these fields for new installations; it does not migrate existing databases. Fix older placeholder definitions (such as `{}` for a column profile) to valid typed requests. Edit existing enabled schedules through core CRUD to validate recipients and initialize `next_run_at`.
 
 Minimum group size defaults to 0 (off). Hosts should set it for personal-data tables. Groups, bins and distinct listings below N are merged into an Other row with no value or drill. Min/max, percentiles, mean and standard deviation are suppressed when the assessed population is below N. Outlier listings and their count's drill are removed whenever the guard is enabled. The guard runs before chart construction and before `result_json` is stored.
 
@@ -102,7 +125,7 @@ Cached results are scoped to the authenticated user, normalized request, effecti
 
 All properties have fluent `withX` setters. Global numeric defaults must be non-null and non-negative. Nullable per-table numeric overrides inherit global defaults; configured values must be non-negative. `TableAnalysisDefaults` also supports enabled, analyzable fields and excluded fields. Runtime `data_analysis_table_config` values override per-table code defaults, which override global defaults. Null row values inherit; blank field lists mean all readable fields or no exclusions. Include/exclude table lists remain an outer restriction, even if a runtime row enables the table. Only the config-row lookup uses a temporary system session, restored in `finally`. It selects configuration fields only and is memoized for 60 seconds. Settings editors can call `service.getConfigResolver().invalidate()` for immediate refresh.
 
-`max_rows` bounds the stand-in's selected population and retained records. An exact request disables sampling but still respects this bound and reports `truncated: true` when necessary; increase the limit to obtain a complete larger profile. Zero selects no rows. Above `sample_threshold_rows`, estimates use the first `min(sample_rows, max_rows)` rows ordered by primary key. Counts describe that prefix, are not extrapolated, and carry `estimate`, `sampleRows`, `rowsScanned`, warnings and an `asOf` timestamp. This is deterministic prefix sampling, not a random sample. `cache_ttl_minutes: 0` disables cache reuse.
+`max_rows` bounds the stand-in's selected population and retained records. An exact request disables sampling but still respects this bound and reports `truncated: true` when necessary; increase the limit to obtain a complete larger profile. Zero selects no rows in the stand-in. Above `sample_threshold_rows`, capable backends run each aggregate with `samplePercent = min(100, sample_rows * 100 / total)` on the user's filter. Counts, top values and histograms are scaled by the full population divided by the observed sample count for that call; ratios and descriptive statistics remain in sample units. The `rows` metric always reports the unsampled total for estimates. Other metrics carry `estimate: true` and an `≈ ` formatted prefix. Sampling never materializes a primary-key IN filter. Backends without sampling use one `pk <= boundary` criterion to compute an unscaled first-N prefix estimate. Estimate drills combine the original filter with the metric condition over the full population, so count/drill equivalence applies only to exact results. Warnings distinguish random samples from prefixes; `sampleRows`, `rowsScanned` and `asOf` describe coverage. `cache_ttl_minutes: 0` disables cache reuse.
 
 ## Host API
 
@@ -136,31 +159,171 @@ The `result` package contains Serializable, Jackson-friendly request/result POJO
 
 Count drills combine an untouched copy of the request filter with their producing condition. Cardinality drills select one representative record per distinct non-null value; the privacy guard removes those representative drills. Truncated profiles retain their primary-key boundary in drills, so their counts remain reproducible. Serialized drill getters restore temporal operand types from the current instance metadata before core evaluates them.
 
-## RC.5 stand-in
+## HTTP endpoints
 
-`engine.AnalysisBackend` isolates profilers from missing core operators. `StandInAnalysisBackend` pushes down COUNT, COUNT_DISTINCT, MIN, MAX, AVG, SUM, grouped counts, aggregate ordering and limits through core actions. RC.5 has no aggregate OFFSET, so pages over-fetch through the requested end and slice locally. Memory grouping pagination and scale-sensitive decimal equality have isolated compatibility handling.
+Extension `data-analysis` version **1.3.0**, prefix `/qbit/data-analysis` inside `/qqq/v1`:
+
+| Method | Path after `/qqq/v1` | Body or purpose |
+| --- | --- | --- |
+| GET | `/qbit/data-analysis/tables/{table}/capabilities` | Availability, fields and charts, limits, backend capabilities, SQL Workbench presence |
+| POST | `/qbit/data-analysis/tables/{table}/column-profile` | `{fieldName, filter, exact}` |
+| POST | `/qbit/data-analysis/tables/{table}/distinct-values` | `{fieldName, filter, page, pageSize, search}` |
+| POST | `/qbit/data-analysis/tables/{table}/table-profile` | `{filter, fields}` |
+| POST | `/qbit/data-analysis/tables/{table}/duplicates` | `{fields, filter, limit}`; default limit 50, maximum 500 |
+| POST | `/qbit/data-analysis/tables/{table}/pivot` | `{rows, columns, values, filter, showTotals, limitGroups}`; 1–3 row dimensions, 0–2 column dimensions, 1–6 measures |
+| POST | `/qbit/data-analysis/tables/{table}/compare` | `{filterA, filterB, labelA, labelB, fields}`; null filter selects the whole permitted table |
+| POST | `/qbit/data-analysis/tables/{table}/shift` | `{field, dateField, bucket, filter}`; calendar buckets, top 8 categories or quartiles, first/last complete-bucket PSI |
+| POST | `/qbit/data-analysis/tables/{table}/correlation` | `{fields, filter}`; 2–12 distinct numeric fields, pairwise r and n, scatter request per cell |
+| POST | `/qbit/data-analysis/tables/{table}/scatter` | `{xField, yField, filter, limit}`; default/maximum 2000 points and a sample trend line |
+| POST | `/qbit/data-analysis/tables/{table}/crosstab` | `{rowField, columnField, filter, limit}`; default/maximum 20 categories per axis plus Other |
+| POST | `/qbit/data-analysis/runs` | `{operation: COLUMN_PROFILE or TABLE_PROFILE, tableName, request}` returns `{runId, status}` |
+| GET | `/qbit/data-analysis/runs/{runId}` | Status, timestamps, error, typed `columnProfile` or `tableProfile` |
+| POST | `/qbit/data-analysis/watches/{id}/preview` | No body; complete bucket series, `TIME_SERIES` chart with baseline annotations and detector verdict; no writes or alerts |
+
+Every operation uses the request session through `DataAnalysisService`. Capabilities returns 200 with `canAnalyze: false` and no fields when denied. Other permission denials return 403, bad bodies or unavailable fields return 400, and unknown tables return 404. Core middleware supplies plain messages in its standard `{error: message}` JSON envelope. Run rows remain owner-locked.
+
+Requests and drills reuse core's `QueryFilter` JSON shape and schema reference. Versioned `DataAnalysis...V1` schemas cover profiles, metrics, drills, charts, series, points, field summaries, distinct and duplicate results, capabilities and runs. The [OpenAPI fragment](src/main/resources/openapi/qqq-v1/data-analysis.yaml) is checked against regeneration. The deployed `/qqq/v1/openapi.json` and `UiApiInvoker.listOperations()` include all fourteen operations.
+
+Regenerate deliberately after an API change:
+
+```bash
+./mvnw -q test -Dtest=DataAnalysisApiTest#contract -Dopenapi.write=true
+```
+
+## Pivot backend and field access
+
+`DataAnalysisService.pivot(PivotRequest)` returns sparse cells indexed into row/column header tuples, aligned totals, typed/formatted metrics, warnings and `asOf`. `COUNT` counts records (including null measure values); other operators require a field. `PERCENTILE` uses continuous interpolation with a fraction from 0 to 1. Calendar buckets use the session timezone. Numeric bins reuse profile nice-edge selection when explicit bounds are omitted; the last interior bin includes its maximum.
+
+The planner first requests count-ordered top-N groups for every dimension (default 50, maximum 200), then dimension counts for privacy/cardinality, one grouped matrix and one aggregate per totals level. Additional aggregates recompute merged Other cells/totals: averages, distinct counts and percentiles cannot safely be combined from displayed cells. Ordinary Other predicates exclude kept values and handle null/empty strings separately. Boolean, temporal and bucketed Other groups use equivalent membership/range predicates for core HTTP compatibility. Cyclic date predicates enumerate observed values through core grouping; memory numeric boundaries reuse the profiles' decimal-scale compatibility helper. Native pivots are exact; bounded core streamed fallback marks partial results as estimates and disables their drills.
+
+`joinTable.field` resolves only through an unambiguous exposed join path. Every table in that path requires READ and the selected field must be FULL; core enforces joins and record locks. The installed data-analysis snapshot does not contain the related-record picker path API, so this implementation uses `getExposedJoins()` and `QueryJoin`. Paths whose every hop is MANY_TO_ONE or ONE_TO_ONE in the analyzed direction support ordinary filter-only drills: core infers the joins from qualified criteria. To-many paths can multiply a base record, so their pivots retain null drills and warn that counts include one row per related table record.
+
+`min_group_size` suppresses rare dimension groups and rare row/column tuples; every measure of a small cell or total is suppressed, including COUNT, with no drill. Totals include the full authorized population. As with existing profiles, separate aggregate calls are not a transactional snapshot.
+
+Hosts can supply `withFieldAnalysisAccessResolver(() -> resolver)`. FULL fields alone appear in capabilities and may be selected. EXACT_MATCH_ONLY and NONE get the same 400 as an unknown field; user-authored filters are passed through for core enforcement. Generated drills using a restricted field (including representative primary keys) are disabled. Related PVS display labels also require FULL access. Exact-run cache identities hash the sorted FULL-field list, the optional core access fingerprint, and related label access.
+
+The default resolver discovers the optional core `fieldaccess.FieldAccessHelper` class and its static methods once. FULL maps to FULL, REVEALABLE to EXACT_MATCH_ONLY, MASKED/HIDDEN to NONE. Without that class, legacy field locks supply FULL/NONE. Replace the reflective calls when the core package ships. Reflection tests use a local stand-in helper rather than shadowing a future real core class at its FQN; the pinned RC.7 exercises the actual core tier resolver selection. Exact-run persistence continues to support profiles only; pivot results are synchronous.
+
+## Backend selection
+
+`DataAnalysisService` selects `CoreAnalysisBackend` when the source backend advertises aggregate capabilities, including memory. Supported standard deviation, percentiles, null/blank counts, numeric/date buckets and length statistics execute through core aggregates as the current session. Unsupported primitives delegate to `StandInAnalysisBackend`. Patterns and derived length histograms remain streamed; representative distinct drills and cyclic-date membership use bounded scans.
+
+The installed snapshot requires H2 PostgreSQL compatibility mode for native bucket SQL (`GROUP BY` positions).
+
+`engine.AnalysisBackend` isolates profilers from backend-specific operators. `StandInAnalysisBackend` pushes down COUNT, COUNT_DISTINCT, MIN, MAX, AVG, SUM, grouped counts, aggregate ordering and limits through core actions. RC.5 has no aggregate OFFSET, so pages over-fetch through the requested end and slice locally. Memory grouping pagination and scale-sensitive decimal equality have isolated compatibility handling.
 
 Variance, interpolated percentiles, string lengths/shapes, date classification, whitespace detection and representative-row drills use bounded primary-key query pages. Histogram/date membership counts use enforced range/count queries after their boundaries have been calculated. Numeric histograms have 20 interior bins between p1 and p99 plus below/above bins, and the last interior bin is closed. Profiles include Tukey outliers, date gaps, date-time weekday/hour patterns, chart alternatives, a seven-bucket moving average, table completeness and candidate keys (single fields and pairs among the eight most unique).
 
 Data versions use filtered COUNT plus MAX of a readable modification-date-like field, otherwise MAX(primary key). This is the specified inexpensive invalidation heuristic, not snapshot isolation; updates on a table without a modification timestamp can remain cached until TTL expiry. Concurrent writes can also change drill counts after a profile is produced. Results always retain `asOf`.
 
+## Compare and relationships
+
+All five operations resolve FULL fields before reading source data and use core actions with `PermissionEnforcement.ENFORCE`. Core applies table permissions and record locks. Compare batches numeric COUNT, AVG, VAR_SAMP and quartiles per population; categorical comparisons use a common top-10-plus-Other distribution and pool categories with expected counts below five. Deltas are B minus A, and percent deltas divide by absolute A (null when A is zero). Significance uses a strict p < 0.05 threshold; invalid or privacy-suppressed tests return a plain reason.
+
+Correlation batches all CORR pairs into one aggregate call. Pairwise non-null n values use enforced core count actions, since the current aggregate API has no per-measure filter. Unsupported aggregates use core's bounded streamed fallback; a truncated fallback returns 400 with a request to narrow the filter, rather than publishing a partial significance test. Scatter uses the first N paired records ordered by primary key because the current core QueryInput has no sampling API. Its least-squares line describes that displayed sample. Point drills contain only primary-key equality and are disabled whenever privacy is enabled or the primary key is not FULL.
+
+Shift uses session-timezone calendar buckets. Only buckets whose end has passed enter PSI; categories share one top-8-plus-Other basis, and numeric PSI uses the first complete bucket's quartile boundaries for both populations. Zero shares are floored at 0.000001. PSI is descriptive, not a significance test. Category time series explicitly declare `stacked: true`.
+
+The minimum-group-size guard removes small numeric summaries, suppresses crosstab cells and revealing marginal shares, disables drills on privacy-merged Other groups, and suppresses scatter points below the minimum. Statistical tests and PSI are unavailable when protected values would contribute. No runtime statistics dependency is added; beta/gamma, Welch, chi-square, proportions, PSI and Pearson are pure Java, checked against independently computed SciPy references.
+
+## Anomaly watches
+
+Watches are ordinary owner-locked `data_analysis_watch` rows. Create and edit them through core table CRUD with `data_analysis.watch.read`, `.insert`, `.edit`, and `.delete`. Standard table/record actions **Evaluate now**, **Enable**, and **Disable** use streamed ETL Review and Result summaries. They never appear in navigation. The home lists firing watches first and links to their records.
+
+A watch has `owner_user_id`, `date_field`, `bucket` (`HOUR`, `DAY`, `WEEK`, `MONTH`), `detector`, `parameters_json`, `severity` (`INFO`, `WARNING`, `ERROR`, `CRITICAL`) and `enabled`. It targets either:
+
+- `table_name`, optional core `filter_json`, and `metric_json`, such as `{"operator":"COUNT"}`, `{"operator":"SUM","field":"amount"}`, `{"operator":"AVG","field":"amount"}`, `{"operator":"NULL_SHARE","field":"email"}`, or `{"operator":"CATEGORY_SET","field":"status"}`.
+- `saved_id`: the owner's saved table and filter, with an explicit watch `metric_json` or one saved definition `metric` / single pivot `values` measure. The date field and bucket remain explicit on the watch. Ambiguous saved measures are rejected; saved filters cannot be overridden by `filter_json` on the watch.
+
+Detector parameters are validated by core pre-insert/update customizers, including partial updates. Unknown parameters and invalid metric/detector combinations return clear record errors.
+
+| Detector | Parameters and behavior |
+| --- | --- |
+| SPIKE / DROP | `k=14`, `threshold=3.5`, `relativeChange=0.5`; robust z = `0.6745 * (latest - median) / MAD`, strict directional threshold. With zero MAD, compare relative change against the absolute median. A zero baseline fires only for a nonzero change in the requested direction. |
+| OUT_OF_RANGE | Required `min` and `max`; fire outside the inclusive range. Needs only the latest bucket. |
+| NEW_CATEGORY | `k=14`; requires `CATEGORY_SET`; compare latest categories with the union of previous buckets. Null is excluded from the category set. |
+| NULL_RATE_CREEP | `k=14`, `delta=0.05`, `n=3`; requires `NULL_SHARE`; fire for a rise above the baseline median greater than delta, or `n` consecutive increases (`n+1` values). |
+
+`k` and `n` are bounded to 1–1000. The trailing window contains at most `k+1` complete buckets, excludes the current bucket, and follows the owner's time zone (Monday-based weeks). Leading buckets with no observed rows do not invent history. After the first observed bucket, missing COUNT/SUM/category buckets are zero/empty; AVG and NULL_SHARE with no population are unavailable. Too little history, incomplete streamed results, unavailable fields, and privacy-suppressed buckets never cause a recovery. No suppressed series, categories, values or drills leave the computation. All source reads enforce READ, Analyze, record locks and FULL field access, including filter fields.
+
+`data_analysis_evaluate_watches` is hidden and repeats every 900 seconds when `schedulerName` is configured. Give the scheduler session its standard process permission, `data_analysis_evaluate_watches.hasAccess`. Inventory and status writes use grants restricted to watch rows; source aggregation always switches to the owner. The default integration calls the host authentication module's `createAutomatedSessionForUser`. Hosts can instead configure `withOwnerSessionSupplier(userId -> session)`. The session must identify that owner and include the `data_analysis_user` owner key plus their current permissions. Missing/mismatched sessions record **Owner session unavailable**; there is no system-session fallback. Manual Evaluate now can also evaluate a disabled watch.
+
+A transition from OK to FIRING raises through core `QAlerts`, with the watch record reference and a relative table-query `AlertLink`; recovery resolves the same `data_analysis_watch:<id>` key. The declared type is **`data.analysis.anomaly`**, labelled **Data anomaly**. This spelling is necessary because the supplied core SPI validator rejects the design's `data_analysis.anomaly` underscore. No qbit-alerts dependency is required. With no sink installed, core logs the signal and the watch row still records the outcome. Repeated FIRING/OK evaluations do not send duplicate transitions. Calls are serialized within each runtime; hosts should run this scheduler on one node (cross-node transactional coordination is not provided).
+
+`state`, `alert_key`, `last_evaluated_at`, `last_value` and `last_message` describe the most recent attempt. Skips clear the last value and leave the existing OK/FIRING state intact. Preview uses the requesting viewer's permissions and never updates these fields.
+
+`DataAnalysisSchema.postgresScript(config)` generates the new fields and owner requirement. Existing installations must add `date_field VARCHAR(250)`, `owner_user_id VARCHAR(250)`, `last_value NUMERIC`, and `last_message TEXT`, then backfill each watch's actual owner/date field before making the first two columns NOT NULL and enabling evaluation. The CREATE-IF-NOT-EXISTS generator does not migrate existing tables.
+
+## Saved analyses, stars and exports
+
+Create/edit saved analyses through ordinary core table CRUD. `kind` selects `COLUMN_PROFILE`, `TABLE_PROFILE`, `PIVOT`, `COMPARE`, `CORRELATION`, `CROSSTAB` or `SHIFT`; `definition_json` stores that kind's typed request. For example, a column profile has `{"fieldName":"amount","filter":{...}}`, and a pivot has `{"rows":[{"field":"status"}],"values":[{"operator":"COUNT"}]}`. `table_name` identifies the source table; a supplied `tableName` in the JSON must match. The customizers reject malformed JSON, missing selections, nonexistent tables/fields and invalid partial edits with plain record errors. A typed definition filter takes precedence over legacy `filter_json`.
+
+`POST /saved/{id}/run` re-runs as the viewer and returns `{kind, warnings, columnProfile, tableProfile, pivot, compare, correlation, crosstab, shift}`, with the matching typed member populated. Selected fields without FULL analysis access are removed and `Some fields are not available to you` is returned. If a required axis, all required selections, or a filter predicate is unavailable, no computation is performed and the typed members are null; filters are never dropped to broaden the population. Saved profile runs are transient, so they do not require run-table write permission and cannot reuse an owner's cache.
+
+`GET /saved` lists core-visible saved metadata with each viewer's `starred` flag. `PUT /saved/{id}/star` and `DELETE /saved/{id}/star` are idempotent and always target the signed-in user, using standard saved INSERT/DELETE grants. The local star table remains available through ordinary CRUD and has a unique `(saved_id,user_id)` key.
+
+`GET /saved/{id}/export?format=csv|xlsx` re-runs as the viewer. `POST /export` accepts a discriminated request:
+
+```json
+{"kind":"PIVOT","tableName":"orders","request":{"rows":[{"field":"status"}],"values":[{"operator":"COUNT"}]},"format":"xlsx"}
+```
+
+Both routes return file bytes with attachment headers. Core `ReportFormat` CSV/XLSX streamers write computed result tables: profile metrics/top values, pivot grids, comparisons, correlation/crosstab tables and shift buckets. Values retain their formatting and privacy suppression. Warnings are included in downloads. All paths above are relative to `/qqq/v1/qbit/data-analysis` and appear in assistant operation discovery.
+
+## Scheduled delivery
+
+Configure `schedulerName`, `messagingProviderName`, `fromAddress`, `ownerSessionSupplier` and `recipientAddressSupplier` in `DataAnalysisQBitConfig`. The session supplier resolves both owners and recipients by their stable user id; without it, the authentication module's `createAutomatedSessionForUser` is used. The address supplier maps those ids to verified directory email addresses; schedule recipients are **user ids**, never arbitrary email addresses.
+
+Schedules use `recipients` as a JSON array (1–100 ids), `format` as `HTML_SUMMARY`, `CSV` or `XLSX`, and either Quartz cron (including the seconds field) or `frequency` + `day` + `time` + `time_zone`. Weekly days are ISO Monday=1 through Sunday=7; monthly days are 1–31, clamped to the last day of shorter months. Times are local ISO times such as `09:00`; omitted time zone is UTC. Spring-forward gaps move forward, and the first occurrence is chosen in an autumn overlap. `next_run_at` is strictly after the evaluation time.
+
+The hidden `data_analysis_run_schedules` process repeats every 300 seconds when a scheduler is configured. Its scheduler session needs `data_analysis_run_schedules.hasAccess`. Inventory/status operations use a narrow maintenance session; source computation always switches to the saved owner. Every recipient must resolve to the correct identity and pass source READ, Analyze and FULL access for all selected/filter fields. Different recipients receive a fresh computation under their own record locks. Skipped ids appear in `last_status`.
+
+Email includes escaped HTML headline metrics and a result table (first 20 rows for pivots), with the requested CSV/XLSX attachment via core `SendMessageAction`. `HTML_SUMMARY` has no attachment. Missing messaging configuration and delivery errors persist an explicit failure and raise the declared **`data.analysis.schedule.failed`** alert. Core rejects underscores in alert names, so the spec's `data_analysis.schedule_failed` spelling cannot be registered. With no alert sink, core logs the signal and the status remains visible.
+
+The installed core's stock `EMAIL` provider silently ignores `SendMessageInput.attachmentList`. CSV/XLSX schedules therefore reject that provider with an explicit status/alert; configure an attachment-capable core messaging provider. A test provider verifies the complete message and attachment contract. This qbit does not alter core's SMTP transport.
+
+**Send now** uses the standard streamed ETL Review/Result record action. Reviews do not deliver; execution reauthorizes and reports actual outcomes. Disabled schedules can be sent manually. A runtime serializes scheduled and manual attempts, but there is no cross-node transaction or exactly-once email guarantee; run the scheduler on one node. New configurations compute their next occurrence; failed attempts advance to the next occurrence instead of retrying every five minutes.
+
+## SQL Workbench and dashboard widgets
+
+`POST /tables/{table}/sql` accepts `{kind,request}` and returns `{available,sql,note}`. It requires an installed SQL Workbench app/table and the configured app access permission (default `sql_workbench.hasAccess`), plus source permissions. Memory/non-RDBMS backends report unavailable. The engine executes the request as the viewer and reads the actual main aggregate's core `QueryStat`; grouped dimensions and the widest metric batch identify the main statement. Bound `?` placeholders remain, and the note states that QQQ applies record security at runtime and the SQL is for reading.
+
+Core exposes `QueryStat` on the backend but not the backend reference on `AggregateAction`. A narrow read-only reflective bridge accesses that reference after normal core execution. Query-stat capability is enabled only on the request's cloned table metadata; no global logger or statistics-manager settings change. If core changes that private field or does not provide SQL, the endpoint reports unavailable rather than fabricating a statement.
+
+The Analyses home uses standard `multiStatistics` and `table` widgets: mine/shared/starred counts, enabled/firing watches, my runs in the last seven days, starred analysis links, firing watches and recent run links. All counts and rows use the viewer's session. Tables have at most four columns and use Next's responsive table/card renderer, with explicit empty/permission states.
+
+`SavedAnalysisWidget.widget()` supplies the **`DATA_ANALYSIS_SAVED`** metadata. Clone/rename it for another dashboard and set `.withDefaultValue("savedId", id)`. Its standard chart renderer re-runs as the viewer, shows formatted headline metrics, projects the semantic series/pivot/crosstab into a standard chart, and links back to the saved record. It never displays an owner's cached result. The standard chart is a dashboard summary; the full analysis UI remains responsible for specialized box/heatmap presentations.
+
 ## Adopting in another app
 
 1. Add a backend, install the producer and run the usual `QInstanceValidator`.
 2. For PostgreSQL, obtain `DataAnalysisSchema.postgresScript(config)` and apply it through your application's migration system. It derives fields and unique indexes from table metadata. It does not execute DDL or upgrade existing schemas.
 3. Map user-id security keys and permissions in the authentication adapter. Configure core audit persistence if field audit history is needed.
 4. Review per-table include/exclude sets, limits and minimum group sizes before enabling analysis. Integrate Saved Analyses and Watches with host ESB/Quick Search when those optional host features are installed; this scaffold does not add those dependencies.
-5. Use the Analyses home as the owner of analysis data. Other dashboards should link there until saved-analysis widgets are implemented.
+5. Use the Analyses home as the owner of analysis data. Other dashboards can place a configured DATA_ANALYSIS_SAVED widget linked to its saved record.
 
-Phase **b** profiles, drill-through and runs/cache are implemented through the host facade. Remaining work: **a** core aggregate extensions; **b** HTTP endpoints after QQQ RC.6 and analysis UI; **c** pivots; **d** comparisons and relationships; **e** watch evaluation and alerts; **f** saved-analysis execution, sharing, stars integration, schedules, chart widgets, full home and exports. The current home summarizes stored rows; the host facade executes profiles. The home does not send deliveries.
+Backend phases **b–f** are implemented, including saved/shared/starred analyses, schedules, standard widgets, home, export and SQL handoff. The separate profile, pivot and relationship frontend remains outside this repository.
+
+## In-app help
+
+The qbit registers `src/main/resources/help/qbit-data-analysis.yaml` as a QBIT bundle.
+Hosts with the core `helpContent` table receive it through QQQ's startup sync; registration
+is harmless without that table. The app help follows `appName` when you configure a custom name.
+To override text, register your own `layer: HOST` bundle with the same entry key and role
+(using your configured app name for app help). HOST entries take precedence over QBIT entries;
+QQQ preserves manually edited help during sync.
+
+`DataAnalysisTablesGuardrailTest` uses `HelpBundleAssertions` to check owned metadata,
+summary length and live references, and checks widget and possible-value-source coverage.
+Update the bundle's literal version alongside the POM version when releasing.
 
 ## Build
 
 ```bash
-./mvnw verify
+./mvnw -q verify
 ```
 
-The wrapper pins Maven 3.9.11. On Windows use `mvnw.cmd`. Verification runs Checkstyle, a shared JUnit 5/AssertJ contract suite on memory and H2, PostgreSQL via Testcontainers when Docker is available, and JaCoCo gates of 70% instructions and 90% classes. The suite checks numerical references, every emitted count/drill pair, security, guarded cache JSON, prefix sampling, asynchronous jobs and cache invalidation. For a populated local dependency cache use `./mvnw -o -q verify`. RDBMS, H2, Testcontainers PostgreSQL and the PostgreSQL driver are test-scoped; middleware Javalin is optional.
+The wrapper pins Maven 3.9.11. On Windows use `mvnw.cmd`. Verification runs Checkstyle, a shared JUnit 5/AssertJ contract suite on memory and H2, PostgreSQL via Testcontainers when Docker is available, and JaCoCo gates of 70% instructions and 90% classes. The suite checks numerical references, every exact count/drill pair, full-population estimate drills, security, guarded cache JSON, native sampling, asynchronous jobs and cache invalidation. The POM pins QQQ 4.1.0-RC.7 from Maven Central. RDBMS, H2, Testcontainers PostgreSQL and the PostgreSQL driver are test-scoped; middleware Javalin is optional.
 
 ## License
 

UPGRADE.md

@@ -0,0 +1,8 @@
+# Upgrading
+
+## Unreleased
+
+No schema change and nothing required of hosts.
+
+- New table action **Create rows for analyzable tables** on Analysis Settings. Run it once if you want the effective settings visible and editable as rows. It changes no behavior, is insert-only, and only adds rows for tables that have none. After a row exists it wins over later changes to the code defaults for that table.
+- New **Setup** widget first on the Analyses home, and table help text. Hosts that override help on a table keep their own.

docs/DESIGN.md

@@ -2,7 +2,7 @@
 
 Approved specification: [QQQ docs/DATA-ANALYSIS.md](https://github.com/QRun-IO/qqq/blob/develop/docs/DATA-ANALYSIS.md), introduced in [PR #1137](https://github.com/QRun-IO/qqq/pull/1137).
 
-Data Analysis will provide profiles, pivots, comparisons, relationships and anomaly watches on existing QQQ data. It will push supported computation to the backend, use bounded streamed fallbacks, enforce the viewer’s permissions and privacy limits, and store configuration, saved definitions, schedules and run history in ordinary visible tables. This repository phase supplies those tables, permissions, configuration, PostgreSQL schema generation and an Analyses home with real session-scoped counts; analytical computation and delivery are planned.
+Data Analysis will provide profiles, pivots, comparisons, relationships and anomaly watches on existing QQQ data. It will push supported computation to the backend, use bounded streamed fallbacks, enforce the viewer’s permissions and privacy limits, and store configuration, saved definitions, schedules and run history in ordinary visible tables. Backend phases b–f are implemented here: typed analysis engines, saved/shared/starred definitions, schedules, exports, SQL handoff and standard widgets with session-scoped data. Specialized analysis frontend work lives in Next. README documents the required shared-read migration and the installed core transport limitations.
 
 ## Phases (spec §11)
 

pom.xml

@@ -128,6 +128,23 @@
    </dependencies>
 
    <build>
+      <resources>
+         <!-- help bundles carry the artifact version (QQQ help bundle provenance) -->
+         <resource>
+            <directory>src/main/resources</directory>
+            <filtering>true</filtering>
+            <includes>
+               <include>help/*.yaml</include>
+            </includes>
+         </resource>
+         <resource>
+            <directory>src/main/resources</directory>
+            <filtering>false</filtering>
+            <excludes>
+               <exclude>help/*.yaml</exclude>
+            </excludes>
+         </resource>
+      </resources>
       <plugins>
          <plugin>
             <groupId>org.apache.maven.plugins</groupId>
@@ -215,7 +232,7 @@
             <activeByDefault>true</activeByDefault>
          </activation>
          <properties>
-            <qqq.snapshot.version>4.1.0-RC.5</qqq.snapshot.version>
+            <qqq.snapshot.version>4.1.0-RC.7</qqq.snapshot.version>
          </properties>
          <dependencyManagement>
             <dependencies>

src/main/java/com/kingsrook/qbits/dataanalysis/DataAnalysisQBitConfig.java

@@ -26,6 +26,9 @@ import java.util.LinkedHashSet;
 import java.util.List;
 import java.util.Map;
 import java.util.Set;
+import java.util.function.Supplier;
+import com.kingsrook.qbits.dataanalysis.engine.CoreTierFieldAccessResolver;
+import com.kingsrook.qbits.dataanalysis.engine.FieldAnalysisAccessResolver;
 import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
 import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitConfig;
 
@@ -35,6 +38,8 @@ import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitConfig;
  *******************************************************************************/
 public class DataAnalysisQBitConfig implements QBitConfig
 {
+   private Supplier<FieldAnalysisAccessResolver> fieldAnalysisAccessResolver = CoreTierFieldAccessResolver::defaultResolver;
+   private transient java.util.function.Function<String, com.kingsrook.qqq.backend.core.model.session.QSession> ownerSessionSupplier;
    private String backendName;
    private String schedulerName;
    private String appName = "dataAnalysis";
@@ -387,4 +392,93 @@ public class DataAnalysisQBitConfig implements QBitConfig
       this.tableDefaults = tableDefaults;
       return (this);
    }
+
+   /*******************************************************************************
+    ** Host override for session-aware field analysis access.
+    *******************************************************************************/
+   public Supplier<FieldAnalysisAccessResolver> getFieldAnalysisAccessResolver()
+   {
+      return (fieldAnalysisAccessResolver);
+   }
+
+   /*******************************************************************************
+    ** Configure an instance supplier; each service resolves one policy instance.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig withFieldAnalysisAccessResolver(Supplier<FieldAnalysisAccessResolver> resolver)
+   {
+      this.fieldAnalysisAccessResolver = java.util.Objects.requireNonNull(resolver);
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Optional host adapter for scheduled owner permissions and record-lock keys.
+    *******************************************************************************/
+   public java.util.function.Function<String, com.kingsrook.qqq.backend.core.model.session.QSession> getOwnerSessionSupplier()
+   {
+      return (ownerSessionSupplier);
+   }
+
+   /*******************************************************************************
+    ** Without an adapter, use the host authentication module's automated session.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig withOwnerSessionSupplier(java.util.function.Function<String, com.kingsrook.qqq.backend.core.model.session.QSession> supplier)
+   {
+      ownerSessionSupplier = supplier;
+      return (this);
+   }
+
+   private String messagingProviderName;
+   private String fromAddress;
+   private transient java.util.function.Function<String, String> recipientAddressSupplier;
+
+   /*******************************************************************************
+    ** Core messaging provider used for scheduled delivery.
+    *******************************************************************************/
+   public String getMessagingProviderName()
+   {
+      return (messagingProviderName);
+   }
+
+   /*******************************************************************************
+    ** Select the host's configured SMTP or SES provider.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig withMessagingProviderName(String value)
+   {
+      messagingProviderName = value;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Verified sender address supplied by the host.
+    *******************************************************************************/
+   public String getFromAddress()
+   {
+      return (fromAddress);
+   }
+
+   /*******************************************************************************
+    ** Set the scheduled email sender.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig withFromAddress(String value)
+   {
+      fromAddress = value;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Resolve a user id to its current email; never treat recipients as addresses.
+    *******************************************************************************/
+   public java.util.function.Function<String, String> getRecipientAddressSupplier()
+   {
+      return (recipientAddressSupplier);
+   }
+
+   /*******************************************************************************
+    ** Bind the host directory's user-to-email lookup.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig withRecipientAddressSupplier(java.util.function.Function<String, String> value)
+   {
+      recipientAddressSupplier = value;
+      return (this);
+   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/DataAnalysisQBitProducer.java

@@ -21,11 +21,16 @@
 package com.kingsrook.qbits.dataanalysis;
 
 
+import com.kingsrook.qbits.dataanalysis.api.DataAnalysisApi;
 import com.kingsrook.qqq.backend.core.exceptions.QException;
 import com.kingsrook.qqq.backend.core.model.metadata.MetaDataProducerMultiOutput;
 import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.help.bundles.HelpBundles;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.TableFeaturePermission;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.TableFeaturePermissionsMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitMetaDataProducer;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.TablesPossibleValueSourceMetaDataProvider;
 
 
 /*******************************************************************************
@@ -126,13 +131,52 @@ public class DataAnalysisQBitProducer implements QBitMetaDataProducer<DataAnalys
    public MetaDataProducerMultiOutput produce(QInstance instance) throws QException
    {
       qBitConfig.validate(instance);
+      if(instance.getPossibleValueSource(TablesPossibleValueSourceMetaDataProvider.NAME) == null)
+      {
+         instance.addPossibleValueSource(TablesPossibleValueSourceMetaDataProvider.defineTablesPossibleValueSource(instance));
+      }
       MetaDataProducerMultiOutput output = QBitMetaDataProducer.super.produce(instance);
       output.addSelfToInstance(instance);
       new DataAnalysisRuntime(qBitConfig).addSelfToInstance(instance);
+      com.kingsrook.qqq.backend.core.alerts.AlertsInstanceMetaData.ofOrWithNew(instance).withAlertType(
+         new com.kingsrook.qqq.backend.core.alerts.QAlertTypeMetaData().withName(com.kingsrook.qbits.dataanalysis.watch.WatchEvaluator.ALERT_TYPE)
+            .withLabel("Data anomaly").withSourceName(ARTIFACT_ID).withGroupName("data-analysis")
+            .withDefaultSeverity(com.kingsrook.qqq.backend.core.alerts.AlertSeverity.WARNING)
+            .withResolveMode(com.kingsrook.qqq.backend.core.alerts.ResolveMode.PRODUCER)
+            .withSubjectTableName(com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables.WATCH)
+            .withVisibilityPermission("data_analysis.watch.read"));
+      com.kingsrook.qqq.backend.core.alerts.AlertsInstanceMetaData.ofOrWithNew(instance).withAlertType(
+         new com.kingsrook.qqq.backend.core.alerts.QAlertTypeMetaData().withName(com.kingsrook.qbits.dataanalysis.schedule.ScheduleRunner.ALERT_TYPE)
+            .withLabel("Analysis schedule failed").withSourceName(ARTIFACT_ID).withGroupName("data-analysis")
+            .withDefaultSeverity(com.kingsrook.qqq.backend.core.alerts.AlertSeverity.ERROR)
+            .withResolveMode(com.kingsrook.qqq.backend.core.alerts.ResolveMode.PRODUCER)
+            .withSubjectTableName(com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables.SCHEDULE)
+            .withVisibilityPermission("data_analysis.saved.read"));
+      var included = java.util.Set.copyOf(qBitConfig.getIncludeTables());
+      var excluded = java.util.Set.copyOf(qBitConfig.getExcludeTables());
+      TableFeaturePermissionsMetaData.ofOrWithNew(instance).withPermission(new TableFeaturePermission()
+         .withSuffix("analyze").withLabel("Analyze").withImpliedBy(null)
+         .withAppliesTo((qInstance, table) -> !table.getName().startsWith(DataAnalysisQBitConfig.TABLE_NAME_PREFIX)
+            && (included.isEmpty() || included.contains(table.getName())) && !excluded.contains(table.getName())));
+      try
+      {
+         Class.forName("io.javalin.Javalin");
+         Class.forName("com.kingsrook.qqq.middleware.javalin.QJavalinImplementation");
+         DataAnalysisApi.register(instance);
+      }
+      catch(ClassNotFoundException expected)
+      {
+         // The engine and metadata also work without the optional middleware.
+      }
       if(qBitConfig.getParentAppName() != null && instance.getApp(qBitConfig.getParentAppName()) != null)
       {
          instance.getApp(qBitConfig.getParentAppName()).withChild(instance.getApp(qBitConfig.getAppName()));
       }
+      // Registration is metadata-only; core startup sync guards hosts without helpContent.
+      HelpBundles.register(instance, "help/qbit-data-analysis.yaml");
+      HelpBundles.of(instance).getBundles().getLast().getEntries().stream()
+         .filter(entry -> "app:dataAnalysis;slot:help".equals(entry.getKey()))
+         .forEach(entry -> entry.setKey("app:" + qBitConfig.getAppName() + ";slot:help"));
       return (new MetaDataProducerMultiOutput());
    }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/DataAnalysisRuntime.java

@@ -25,11 +25,14 @@ import com.kingsrook.qqq.backend.core.context.QContext;
 import com.kingsrook.qqq.backend.core.model.metadata.QSupplementalInstanceMetaData;
 
 /*******************************************************************************
- ** Instance-scoped service holder for future endpoints and host integrations.
+ ** Instance-scoped service holder for UI API endpoints and host integrations.
  *******************************************************************************/
 public class DataAnalysisRuntime implements QSupplementalInstanceMetaData
 {
    private final transient DataAnalysisService service;
+   private final transient com.kingsrook.qbits.dataanalysis.schedule.ScheduleRunner schedules;
+   private final transient com.kingsrook.qbits.dataanalysis.saved.SavedAnalyses saved;
+   private final transient com.kingsrook.qbits.dataanalysis.watch.WatchEvaluator watches;
 
    /*******************************************************************************
     ** Create a runtime for one configured instance.
@@ -37,6 +40,9 @@ public class DataAnalysisRuntime implements QSupplementalInstanceMetaData
    public DataAnalysisRuntime(DataAnalysisQBitConfig config)
    {
       service = new DataAnalysisService(config);
+      schedules = new com.kingsrook.qbits.dataanalysis.schedule.ScheduleRunner(config, service);
+      saved = new com.kingsrook.qbits.dataanalysis.saved.SavedAnalyses(service);
+      watches = new com.kingsrook.qbits.dataanalysis.watch.WatchEvaluator(config, service);
    }
 
 
@@ -70,4 +76,28 @@ public class DataAnalysisRuntime implements QSupplementalInstanceMetaData
    {
       return (((DataAnalysisRuntime) QContext.getQInstance().getSupplementalMetaData("dataAnalysisRuntime")).getService());
    }
+
+   /*******************************************************************************
+    ** Shared evaluator serializes manual and scheduled watch transitions.
+    *******************************************************************************/
+   public static com.kingsrook.qbits.dataanalysis.watch.WatchEvaluator watches()
+   {
+      return (((DataAnalysisRuntime) QContext.getQInstance().getSupplementalMetaData("dataAnalysisRuntime")).watches);
+   }
+
+   /*******************************************************************************
+    ** Saved operations share the instance's engine and serialize star toggles.
+    *******************************************************************************/
+   public static com.kingsrook.qbits.dataanalysis.saved.SavedAnalyses saved()
+   {
+      return (((DataAnalysisRuntime) QContext.getQInstance().getSupplementalMetaData("dataAnalysisRuntime")).saved);
+   }
+
+   /*******************************************************************************
+    ** Shared schedule runner for manual and automatic delivery.
+    *******************************************************************************/
+   public static com.kingsrook.qbits.dataanalysis.schedule.ScheduleRunner schedules()
+   {
+      return (((DataAnalysisRuntime) QContext.getQInstance().getSupplementalMetaData("dataAnalysisRuntime")).schedules);
+   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/DataAnalysisSchema.java

@@ -57,6 +57,14 @@ public final class DataAnalysisSchema
             columns.add("   " + field.getBackendName() + " " + ("id".equals(field.getName())
                ? "INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY" : sqlType(field) + (Boolean.TRUE.equals(field.getIsRequired()) ? " NOT NULL" : "")));
          }
+         if(DataAnalysisTables.SAVED.equals(table.getName()))
+         {
+            ///////////////////////////////////////////////////////////////////////////////
+            // a null read-owner projection means "shared": make the database refuse it //
+            // on a private row, so a row written outside QQQ fails closed, not open    //
+            ///////////////////////////////////////////////////////////////////////////////
+            columns.add("   CONSTRAINT ck_data_analysis_saved_read_owner CHECK (shared = TRUE OR read_owner_user_id IS NOT NULL)");
+         }
          statements.add("CREATE TABLE IF NOT EXISTS " + table.getName() + " (\n" + String.join(",\n", columns) + "\n)");
          if(table.getUniqueKeys() != null)
          {
@@ -83,6 +91,7 @@ public final class DataAnalysisSchema
       {
          case INTEGER -> "INTEGER";
          case LONG -> "BIGINT";
+         case DECIMAL -> "NUMERIC";
          case BOOLEAN -> "BOOLEAN";
          case DATE_TIME -> "TIMESTAMP WITHOUT TIME ZONE";
          case TEXT -> "TEXT";

src/main/java/com/kingsrook/qbits/dataanalysis/DataAnalysisService.java

@@ -21,24 +21,47 @@
 package com.kingsrook.qbits.dataanalysis;
 
 import java.util.List;
+import java.util.Map;
+import java.util.Set;
 import java.util.concurrent.Executor;
 import com.kingsrook.qbits.dataanalysis.engine.AnalysisBackend;
+import com.kingsrook.qbits.dataanalysis.engine.AnalysisDrillGuard;
+import com.kingsrook.qbits.dataanalysis.engine.AnalysisLabels;
 import com.kingsrook.qbits.dataanalysis.engine.AnalysisSecurity;
 import com.kingsrook.qbits.dataanalysis.engine.ColumnProfiler;
+import com.kingsrook.qbits.dataanalysis.engine.ComparisonExplorer;
+import com.kingsrook.qbits.dataanalysis.engine.CoreAnalysisBackend;
 import com.kingsrook.qbits.dataanalysis.engine.DistinctValues;
+import com.kingsrook.qbits.dataanalysis.engine.DrillFilters;
 import com.kingsrook.qbits.dataanalysis.engine.DuplicateFinder;
 import com.kingsrook.qbits.dataanalysis.engine.EffectiveConfigResolver;
+import com.kingsrook.qbits.dataanalysis.engine.FieldAnalysisAccessResolver;
+import com.kingsrook.qbits.dataanalysis.engine.PivotExplorer;
+import com.kingsrook.qbits.dataanalysis.engine.RelationshipExplorer;
+import com.kingsrook.qbits.dataanalysis.engine.ShiftExplorer;
 import com.kingsrook.qbits.dataanalysis.engine.StandInAnalysisBackend;
 import com.kingsrook.qbits.dataanalysis.engine.TableProfiler;
 import com.kingsrook.qbits.dataanalysis.result.AnalysisRequest;
 import com.kingsrook.qbits.dataanalysis.result.Capabilities;
 import com.kingsrook.qbits.dataanalysis.result.ColumnProfile;
 import com.kingsrook.qbits.dataanalysis.result.ColumnProfileRequest;
+import com.kingsrook.qbits.dataanalysis.result.CompareRequest;
+import com.kingsrook.qbits.dataanalysis.result.CompareResult;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationRequest;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationResult;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabRequest;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabResult;
 import com.kingsrook.qbits.dataanalysis.result.DistinctValuesPage;
 import com.kingsrook.qbits.dataanalysis.result.DistinctValuesRequest;
 import com.kingsrook.qbits.dataanalysis.result.DuplicatesRequest;
 import com.kingsrook.qbits.dataanalysis.result.DuplicatesResult;
+import com.kingsrook.qbits.dataanalysis.result.PivotRequest;
+import com.kingsrook.qbits.dataanalysis.result.PivotResult;
 import com.kingsrook.qbits.dataanalysis.result.RunStatus;
+import com.kingsrook.qbits.dataanalysis.result.ScatterRequest;
+import com.kingsrook.qbits.dataanalysis.result.ScatterResult;
+import com.kingsrook.qbits.dataanalysis.result.ShiftRequest;
+import com.kingsrook.qbits.dataanalysis.result.ShiftResult;
 import com.kingsrook.qbits.dataanalysis.result.TableProfile;
 import com.kingsrook.qbits.dataanalysis.result.TableProfileRequest;
 import com.kingsrook.qbits.dataanalysis.run.AnalysisRunService;
@@ -52,6 +75,7 @@ public class DataAnalysisService
 {
    private final EffectiveConfigResolver configs;
    private final AnalysisSecurity security;
+   private final FieldAnalysisAccessResolver fieldAccess;
    private final AnalysisRunService runs;
 
    /*******************************************************************************
@@ -70,7 +94,8 @@ public class DataAnalysisService
    public DataAnalysisService(DataAnalysisQBitConfig config, Executor executor)
    {
       configs = new EffectiveConfigResolver(config);
-      security = new AnalysisSecurity(configs);
+      fieldAccess = config.getFieldAnalysisAccessResolver().get();
+      security = new AnalysisSecurity(configs, fieldAccess);
       runs = new AnalysisRunService(this, executor);
    }
 
@@ -82,7 +107,7 @@ public class DataAnalysisService
    public Capabilities capabilities(String table) throws QException
    {
       return (new Capabilities().withTableName(table).withFields(security.analyzableFields(table).stream().map(QFieldMetaData::getName).toList())
-         .withConfig(configs.resolve(table)).withBackend("RC.5 stand-in; deterministic primary-key prefix sampling"));
+         .withConfig(configs.resolve(table)).withBackend(CoreAnalysisBackend.capabilities(table).isEmpty() ? "Streamed analysis" : "Core aggregate pushdown"));
    }
 
 
@@ -115,7 +140,7 @@ public class DataAnalysisService
    public DistinctValuesPage distinctValues(DistinctValuesRequest request) throws QException
    {
       validate(request);
-      return (new DistinctValues(backend(request.getTableName())).page(request, security.field(request.getTableName(), request.getFieldName()), configs.resolve(request.getTableName())));
+      return (protect(new DistinctValues(backend(request.getTableName()), fieldAccess).page(request, security.field(request.getTableName(), request.getFieldName()), configs.resolve(request.getTableName())), request));
    }
 
 
@@ -126,7 +151,7 @@ public class DataAnalysisService
    public DuplicatesResult duplicates(DuplicatesRequest request) throws QException
    {
       validate(request);
-      return (new DuplicateFinder(backend(request.getTableName())).find(request, configs.resolve(request.getTableName())));
+      return (protect(new DuplicateFinder(backend(request.getTableName())).find(request, configs.resolve(request.getTableName())), request));
    }
 
 
@@ -163,11 +188,11 @@ public class DataAnalysisService
 
 
    /*******************************************************************************
-    ** Fresh per-request backend, ready for a future core-backed implementation.
+    ** Select core pushdown when the backend advertises analysis capabilities.
     *******************************************************************************/
    public AnalysisBackend backend(String table) throws QException
    {
-      return (new StandInAnalysisBackend(configs.resolve(table)));
+      return (CoreAnalysisBackend.capabilities(table).isEmpty() ? new StandInAnalysisBackend(configs.resolve(table)) : new CoreAnalysisBackend(configs.resolve(table)));
    }
 
 
@@ -218,7 +243,7 @@ public class DataAnalysisService
    public ColumnProfile compute(ColumnProfileRequest request, AnalysisBackend backend, AnalysisBackend.Scope scope) throws QException
    {
       validate(request);
-      return (new ColumnProfiler(backend).profile(request, security.field(request.getTableName(), request.getFieldName()), scope, configs.resolve(request.getTableName())));
+      return (protect(new ColumnProfiler(backend, fieldAccess).profile(request, security.field(request.getTableName(), request.getFieldName()), scope, configs.resolve(request.getTableName())), request));
    }
 
 
@@ -231,6 +256,124 @@ public class DataAnalysisService
       validate(request);
       List<QFieldMetaData> fields = security.analyzableFields(request.getTableName()).stream()
          .filter(f -> request.getFields() == null || request.getFields().contains(f.getName())).toList();
-      return (new TableProfiler(backend).profile(request, fields, scope));
+      return (protect(new TableProfiler(backend).profile(request, fields, scope), request));
    }
+
+   /*******************************************************************************
+    ** Field policy identity is re-evaluated before cache reads and writes.
+    *******************************************************************************/
+   public String fieldAccessFingerprint(String table) throws QException
+   {
+      return (security.accessFingerprint(table));
+   }
+
+   /*******************************************************************************
+    ** Execute a pivot as the current user through core aggregates.
+    *******************************************************************************/
+   public PivotResult pivot(PivotRequest request) throws QException
+   {
+      validate(request);
+      return (new PivotExplorer(security, configs.resolve(request.getTableName())).execute(request));
+   }
+
+   /*******************************************************************************
+    ** Generated primary-key drills also obey the configured field-access seam.
+    *******************************************************************************/
+   private <T> T protect(T result, AnalysisRequest request) throws QException
+   {
+      new AnalysisDrillGuard(Set.copyOf(capabilities(request.getTableName()).getFields()),
+         DrillFilters.restoreTypes(request.getTableName(), request.getFilter())).apply(result);
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Include resolved tiers of related label fields in cache identity.
+    *******************************************************************************/
+   public Map<String, Object> fieldAccessPolicy(String table) throws QException
+   {
+      return (AnalysisLabels.policy(table, fieldAccess));
+   }
+
+   /*******************************************************************************
+    ** Execute compare under the current user's FULL-field and record policy.
+    *******************************************************************************/
+   public CompareResult compare(CompareRequest request) throws QException
+   {
+      validate(request);
+      return (new ComparisonExplorer(security, configs.resolve(request.getTableName()), request.getTableName()).compare(request));
+   }
+
+   /*******************************************************************************
+    ** Execute correlation under the current user's FULL-field and record policy.
+    *******************************************************************************/
+   public CorrelationResult correlation(CorrelationRequest request) throws QException
+   {
+      validate(request);
+      return (new RelationshipExplorer(security, configs.resolve(request.getTableName()), request.getTableName()).correlation(request));
+   }
+
+   /*******************************************************************************
+    ** Execute crosstab under the current user's FULL-field and record policy.
+    *******************************************************************************/
+   public CrosstabResult crosstab(CrosstabRequest request) throws QException
+   {
+      validate(request);
+      return (new RelationshipExplorer(security, configs.resolve(request.getTableName()), request.getTableName()).crosstab(request));
+   }
+
+   /*******************************************************************************
+    ** Execute scatter under the current user's FULL-field and record policy.
+    *******************************************************************************/
+   public ScatterResult scatter(ScatterRequest request) throws QException
+   {
+      validate(request);
+      return (new RelationshipExplorer(security, configs.resolve(request.getTableName()), request.getTableName()).scatter(request));
+   }
+
+   /*******************************************************************************
+    ** Execute shift under the current user's FULL-field and record policy.
+    *******************************************************************************/
+   public ShiftResult shift(ShiftRequest request) throws QException
+   {
+      validate(request);
+      return (new ShiftExplorer(security, configs.resolve(request.getTableName()), request.getTableName()).shift(request));
+   }
+
+   /*******************************************************************************
+    ** Watch aggregates use the same current-user table and FULL-field policy.
+    *******************************************************************************/
+   public com.kingsrook.qbits.dataanalysis.watch.WatchPreview watchPreview(com.kingsrook.qqq.backend.core.model.data.QRecord row, java.time.Instant now) throws QException
+   {
+      var resolved = com.kingsrook.qbits.dataanalysis.watch.WatchRecords.resolve(row);
+      String table = resolved.getValueString("table_name");
+      security.table(table);
+      var definition = com.kingsrook.qbits.dataanalysis.watch.WatchDefinition.parse(resolved);
+      return (new com.kingsrook.qbits.dataanalysis.watch.WatchSeries(security, configs.resolve(table), table)
+         .preview(definition, com.kingsrook.qbits.dataanalysis.watch.WatchRecords.filter(resolved), now));
+   }
+
+   /*******************************************************************************
+    ** Saved definitions drop selected fields using the same FULL access resolver.
+    *******************************************************************************/
+   public boolean isAvailableField(String table, String field)
+   {
+      try
+      {
+         if(field.contains("."))
+         {
+            String[] parts = field.split("\\.", 2);
+            security.joinedField(parts[0], parts[1]);
+         }
+         else
+         {
+            security.field(table, field);
+         }
+         return (true);
+      }
+      catch(QException e)
+      {
+         return (false);
+      }
+   }
+
 }

src/main/java/com/kingsrook/qbits/dataanalysis/api/AnalysisFileSpec.java

@@ -0,0 +1,195 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.saved.AnalysisExport;
+import com.kingsrook.qbits.dataanalysis.saved.SavedDefinition;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.middleware.javalin.executors.AbstractMiddlewareExecutor;
+import com.kingsrook.qqq.middleware.javalin.executors.io.AbstractMiddlewareInput;
+import com.kingsrook.qqq.middleware.javalin.executors.io.AbstractMiddlewareOutputInterface;
+import com.kingsrook.qqq.middleware.javalin.specs.AbstractEndpointSpec;
+import com.kingsrook.qqq.middleware.javalin.specs.BasicOperation;
+import com.kingsrook.qqq.middleware.javalin.specs.BasicResponse;
+import com.kingsrook.qqq.openapi.model.Content;
+import com.kingsrook.qqq.openapi.model.HttpMethod;
+import com.kingsrook.qqq.openapi.model.In;
+import com.kingsrook.qqq.openapi.model.Parameter;
+import com.kingsrook.qqq.openapi.model.RequestBody;
+import com.kingsrook.qqq.openapi.model.Response;
+import com.kingsrook.qqq.openapi.model.Schema;
+import com.kingsrook.qqq.openapi.model.Type;
+import io.javalin.http.Context;
+
+/*******************************************************************************
+ ** Binary endpoints extend AbstractEndpointSpec directly, preserving core sessions.
+ *******************************************************************************/
+public class AnalysisFileSpec extends AbstractEndpointSpec<AnalysisFileSpec.Input, AnalysisFileSpec.Output, AnalysisFileSpec.Executor>
+{
+   /*******************************************************************************
+    ** POST an arbitrary supported typed request plus CSV/XLSX format.
+    *******************************************************************************/
+   @Override
+   public BasicOperation defineBasicOperation()
+   {
+      return (new BasicOperation().withPath(DataAnalysisApi.PREFIX + "/export").withHttpMethod(HttpMethod.POST)
+         .withShortSummary("Export an analysis result").withLongDescription("Execute a typed analysis as the signed-in viewer and download its result table as CSV or XLSX. Requires source READ/Analyze and FULL fields; uses core report formats."));
+   }
+
+   /*******************************************************************************
+    ** Saved export has only id/format parameters; ad hoc export uses a JSON body.
+    *******************************************************************************/
+   @Override
+   public List<Parameter> defineRequestParameters()
+   {
+      return (List.of());
+   }
+
+   /*******************************************************************************
+    ** Typed discriminated request plus file format.
+    *******************************************************************************/
+   @Override
+   public RequestBody defineRequestBody()
+   {
+      return (new RequestBody().withRequired(true).withContent(Map.of("application/json", new Content()
+         .withSchema(new Schema().withRef("#/components/schemas/DataAnalysisSavedRequestV1")))));
+   }
+
+   /*******************************************************************************
+    ** Both file representations are declared, without JSON response wrapping.
+    *******************************************************************************/
+   @Override
+   public Map<Integer, Response> defineResponses()
+   {
+      Schema file = new Schema().withRef("#/components/schemas/DataAnalysisFileV1");
+      return (Map.of(200, new Response().withDescription("Analysis result file").withContent(new java.util.TreeMap<>(Map.of("text/csv", new Content().withSchema(file),
+         "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", new Content().withSchema(file))))));
+   }
+
+   /*******************************************************************************
+    ** Read transport data only; execution waits for middleware session setup.
+    *******************************************************************************/
+   @Override
+   public Input buildInput(Context context) throws Exception
+   {
+      Input input = new Input();
+      if(this instanceof Saved)
+      {
+         input.id = SavedApi.id(context.pathParam("id"));
+         input.format = context.queryParam("format");
+      }
+      else
+      {
+         if(context.contentType() == null || !context.contentType().toLowerCase(java.util.Locale.ROOT).startsWith("application/json"))
+         {
+            throw new QBadRequestException("The request body must be JSON.");
+         }
+         input.body = SavedDefinition.object(context.body());
+         input.format = input.body.get("format") instanceof String value ? value : null;
+      }
+      AnalysisExport.format(input.format);
+      return (input);
+   }
+
+   /*******************************************************************************
+    ** Actual file bytes, a stable filename and the matching MIME type.
+    *******************************************************************************/
+   @Override
+   public void handleOutput(Context context, Output output)
+   {
+      context.contentType(output.file.mimeType()).header("Content-Disposition", "attachment; filename=\"" + output.file.filename() + "\"")
+         .header("Cache-Control", "no-store").result(output.file.bytes());
+   }
+
+   /*******************************************************************************
+    ** Saved GET variant uses the same file executor.
+    *******************************************************************************/
+   public static class Saved extends AnalysisFileSpec
+   {
+      /*******************************************************************************
+       ** Core-visible saved definition is re-run as viewer before export.
+       *******************************************************************************/
+      @Override
+      public BasicOperation defineBasicOperation()
+      {
+         return (new BasicOperation().withPath(DataAnalysisApi.PREFIX + "/saved/{id}/export").withHttpMethod(HttpMethod.GET)
+            .withShortSummary("Export a saved analysis").withLongDescription("Re-run a visible saved analysis as the viewer, applying current source permissions and dropping unavailable fields, then download its result table as CSV or XLSX."));
+      }
+
+      /*******************************************************************************
+       ** Required id and CSV/XLSX query format.
+       *******************************************************************************/
+      @Override
+      public List<Parameter> defineRequestParameters()
+      {
+         return (List.of(new Parameter().withName("id").withIn(In.PATH).withRequired(true).withDescription("Visible saved analysis id.").withSchema(new Schema().withType(Type.INTEGER)),
+            new Parameter().withName("format").withIn(In.QUERY).withRequired(true).withDescription("Result file format.").withSchema(new Schema().withType(Type.STRING).withEnumValues(List.of("csv", "xlsx")))));
+      }
+
+      /*******************************************************************************
+       ** GET has no request body.
+       *******************************************************************************/
+      @Override
+      public RequestBody defineRequestBody()
+      {
+         return (null);
+      }
+   }
+
+   /*******************************************************************************
+    ** Input data only, inherited middleware fields carry the authenticated session.
+    *******************************************************************************/
+   public static class Input extends AbstractMiddlewareInput
+   {
+      private Integer id;
+      private String format;
+      private Map<String, Object> body;
+   }
+
+   /*******************************************************************************
+    ** Binary output stays out of JSON serialization.
+    *******************************************************************************/
+   public static class Output implements AbstractMiddlewareOutputInterface
+   {
+      private AnalysisExport.File file;
+   }
+
+   /*******************************************************************************
+    ** Invoked after the normal middleware session pipeline.
+    *******************************************************************************/
+   public static class Executor extends AbstractMiddlewareExecutor<Input, Output>
+   {
+      /*******************************************************************************
+       ** No direct source access outside the existing authorized analysis engine.
+       *******************************************************************************/
+      @Override
+      public void execute(Input input, Output output) throws QException
+      {
+         var result = input.id == null ? SavedApi.definition(input.body, null).run(DataAnalysisRuntime.service(), true)
+            : DataAnalysisRuntime.saved().run(input.id);
+         output.file = AnalysisExport.file(result, input.format);
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/api/DataAnalysisApi.java

@@ -0,0 +1,794 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisService;
+import com.kingsrook.qbits.dataanalysis.engine.CoreAnalysisBackend;
+import com.kingsrook.qbits.dataanalysis.result.AnalysisRequest;
+import com.kingsrook.qbits.dataanalysis.result.ChartKind;
+import com.kingsrook.qbits.dataanalysis.result.ColumnProfileRequest;
+import com.kingsrook.qbits.dataanalysis.result.CompareRequest;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationRequest;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabRequest;
+import com.kingsrook.qbits.dataanalysis.result.DistinctValuesRequest;
+import com.kingsrook.qbits.dataanalysis.result.DuplicatesRequest;
+import com.kingsrook.qbits.dataanalysis.result.PivotRequest;
+import com.kingsrook.qbits.dataanalysis.result.ScatterRequest;
+import com.kingsrook.qbits.dataanalysis.result.ShiftRequest;
+import com.kingsrook.qbits.dataanalysis.result.TableProfileRequest;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QNotFoundException;
+import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
+import com.kingsrook.qqq.middleware.javalin.specs.BasicOperation;
+import com.kingsrook.qqq.middleware.javalin.specs.extensions.AbstractJsonEndpointSpec;
+import com.kingsrook.qqq.middleware.javalin.specs.extensions.MiddlewareSpecExtension;
+import com.kingsrook.qqq.middleware.javalin.specs.extensions.MiddlewareSpecExtensionsMetaData;
+import com.kingsrook.qqq.openapi.model.HttpMethod;
+import com.kingsrook.qqq.openapi.model.In;
+import com.kingsrook.qqq.openapi.model.Parameter;
+import com.kingsrook.qqq.openapi.model.Schema;
+import com.kingsrook.qqq.openapi.model.Type;
+
+/*******************************************************************************
+ ** Session-bound analysis operations registered only with optional Javalin present.
+ *******************************************************************************/
+public class DataAnalysisApi
+{
+   public static final String PREFIX = "/qbit/data-analysis";
+
+   /*******************************************************************************
+    ** Publish the extension through the core spec registry.
+    *******************************************************************************/
+   public static void register(QInstance instance)
+   {
+      MiddlewareSpecExtensionsMetaData.ofOrWithNew(instance).withExtension(extension());
+   }
+
+   /*******************************************************************************
+    ** The same descriptor drives routes, OpenAPI and assistant tool discovery.
+    *******************************************************************************/
+   public static MiddlewareSpecExtension extension()
+   {
+      return (new MiddlewareSpecExtension().withName("data-analysis").withSemanticVersion("1.4.0")
+         .withDescription("Profiles, pivots, comparisons, distribution shifts, correlations, scatter samples, crosstabs and anomaly watch previews as the signed-in user.")
+         .withSpec(SavedApi.Run.class).withSpec(SavedApi.ListSaved.class).withSpec(SavedApi.Star.class).withSpec(SavedApi.Unstar.class)
+         .withSpec(SavedApi.Sql.class).withSpec(AnalysisFileSpec.class).withSpec(AnalysisFileSpec.Saved.class)
+         .withSpec(CapabilitiesSpec.class).withSpec(ColumnProfileSpec.class).withSpec(DistinctValuesSpec.class)
+         .withSpec(CompareSpec.class).withSpec(ShiftSpec.class).withSpec(CorrelationSpec.class).withSpec(ScatterSpec.class).withSpec(CrosstabSpec.class)
+         .withSpec(WatchPreviewSpec.class).withSpec(PivotSpec.class).withSpec(TableProfileSpec.class).withSpec(DuplicatesSpec.class).withSpec(StartRunSpec.class).withSpec(GetRunSpec.class));
+   }
+
+   /*******************************************************************************
+    ** Common schema catalog and path parameters for the analysis JSON specs.
+    *******************************************************************************/
+   public abstract static class ProfileSpec extends AbstractJsonEndpointSpec
+   {
+      private final String path;
+      private final HttpMethod method;
+      private final String summary;
+      private final String description;
+      private final String request;
+      private final String response;
+
+      /*******************************************************************************
+       ** Bind immutable operation metadata.
+       *******************************************************************************/
+      protected ProfileSpec(String path, HttpMethod method, String summary, String description, String request, String response)
+      {
+         this.path = path;
+         this.method = method;
+         this.summary = summary;
+         this.description = description;
+         this.request = request;
+         this.response = response;
+      }
+
+      /*******************************************************************************
+       ** Assistant-facing operation purpose.
+       *******************************************************************************/
+      @Override
+      public BasicOperation defineBasicOperation()
+      {
+         return (new BasicOperation().withPath(PREFIX + path).withHttpMethod(method).withShortSummary(summary).withLongDescription(description));
+      }
+
+      /*******************************************************************************
+       ** Required path parameter, when present.
+       *******************************************************************************/
+      @Override
+      public List<Parameter> defineRequestParameters()
+      {
+         String name = path.contains("{table}") ? "table" : path.contains("{runId}") ? "runId" : path.contains("{id}") ? "id" : null;
+         return (name == null ? List.of() : List.of(new Parameter().withName(name).withIn(In.PATH).withRequired(true)
+            .withDescription(name.equals("table") ? "QQQ table name to analyze." : "Owner-scoped analysis run or watch id.").withSchema(new Schema().withType(Type.STRING))));
+      }
+
+      /*******************************************************************************
+       ** Versioned request schema.
+       *******************************************************************************/
+      @Override
+      protected Schema defineRequestBodySchema()
+      {
+         return (request == null ? null : new Schema().withRef("#/components/schemas/DataAnalysis" + request + "V1"));
+      }
+
+      /*******************************************************************************
+       ** Versioned response schema.
+       *******************************************************************************/
+      @Override
+      protected String getResponseSchemaName()
+      {
+         return ("DataAnalysis" + response + "V1");
+      }
+
+      /*******************************************************************************
+       ** Include all referenced transport models and the shared core filter.
+       *******************************************************************************/
+      @Override
+      public Map<String, Schema> defineComponentSchemas()
+      {
+         return (this instanceof CapabilitiesSpec ? DataAnalysisSchemas.components() : Map.of());
+      }
+   }
+
+   /*******************************************************************************
+    ** Existing table lookup before invoking permission-sensitive operations.
+    *******************************************************************************/
+   private static QTableMetaData table(String name) throws QNotFoundException
+   {
+      QTableMetaData table = QContext.getQInstance().getTable(name);
+      if(table == null)
+      {
+         throw new QNotFoundException("Unknown analysis table.");
+      }
+      return (table);
+   }
+
+   /*******************************************************************************
+    ** Parse one JSON object with strict scalar/list types and core filter JSON.
+    *******************************************************************************/
+   private static AnalysisRequest request(String operation, String table, Map<String, Object> body) throws Exception
+   {
+      table(table);
+      DataAnalysisService service = DataAnalysisRuntime.service();
+      List<String> readable = service.capabilities(table).getFields();
+      try
+      {
+         for(String name : List.of("fieldName", "search"))
+         {
+            if(body.get(name) != null && !(body.get(name) instanceof String))
+            {
+               throw new IllegalArgumentException(name + " must be a string.");
+            }
+         }
+         if(body.get("exact") != null && !(body.get("exact") instanceof Boolean))
+         {
+            throw new IllegalArgumentException("exact must be a boolean.");
+         }
+         QQueryFilter filter = body.get("filter") == null ? null : JsonUtils.toObject(JsonUtils.toJson(body.get("filter")), QQueryFilter.class);
+         validateFilter(filter);
+         List<String> fields = null;
+         if(body.get("fields") != null)
+         {
+            if(!(body.get("fields") instanceof List<?> values) || values.stream().anyMatch(v -> !(v instanceof String)))
+            {
+               throw new IllegalArgumentException("fields must be an array of field names.");
+            }
+            fields = ((List<?>) body.get("fields")).stream().map(String.class::cast).toList();
+            if(fields.isEmpty() || !readable.containsAll(fields))
+            {
+               throw new IllegalArgumentException("Choose readable analysis fields.");
+            }
+         }
+         String field = (String) body.get("fieldName");
+         if((operation.equals("COLUMN_PROFILE") || operation.equals("DISTINCT_VALUES")) && !readable.contains(field))
+         {
+            throw new IllegalArgumentException("Choose a readable analysis field.");
+         }
+         boolean exact = Boolean.TRUE.equals(body.get("exact"));
+         return (switch(operation)
+         {
+            case "COLUMN_PROFILE" -> new ColumnProfileRequest().withTableName(table).withFilter(filter).withFieldName(field).withExact(exact);
+            case "TABLE_PROFILE" -> new TableProfileRequest().withTableName(table).withFilter(filter).withFields(fields);
+            case "DISTINCT_VALUES" -> new DistinctValuesRequest().withTableName(table).withFilter(filter).withFieldName(field)
+               .withPage(integer(body, "page", 0, 0, 1_000_000)).withPageSize(integer(body, "pageSize", 100, 1, 500)).withSearch((String) body.get("search"));
+            case "DUPLICATES" -> new DuplicatesRequest().withTableName(table).withFilter(filter)
+               .withFields(java.util.Objects.requireNonNull(fields, "Choose duplicate fields.")).withLimit(integer(body, "limit", 50, 1, 500));
+            default -> throw new IllegalArgumentException("operation must be COLUMN_PROFILE or TABLE_PROFILE.");
+         });
+      }
+      catch(Exception e)
+      {
+         throw new QBadRequestException("Invalid analysis request: " + e.getMessage());
+      }
+   }
+
+   /*******************************************************************************
+    ** Bad filter fields fail before any aggregate or cached result is consulted.
+    *******************************************************************************/
+   private static void validateFilter(QQueryFilter filter)
+   {
+      if(filter == null)
+      {
+         return;
+      }
+      for(var criterion : filter.getCriteria())
+      {
+         if(criterion.getOperator() == null || criterion.getFieldName() == null)
+         {
+            throw new IllegalArgumentException("Choose readable filter fields and a valid operator.");
+         }
+      }
+      filter.getSubFilters().forEach(sub -> validateFilter(sub));
+   }
+
+   /*******************************************************************************
+    ** Reject fractional, null, overflowing and out-of-range numeric parameters.
+    *******************************************************************************/
+   private static int integer(Map<String, Object> body, String name, int fallback, int min, int max)
+   {
+      if(!body.containsKey(name))
+      {
+         return (fallback);
+      }
+      Object value = body.get(name);
+      if(!(value instanceof Number number) || number.doubleValue() != number.intValue() || number.intValue() < min || number.intValue() > max)
+      {
+         throw new IllegalArgumentException(name + " must be an integer from " + min + " to " + max + ".");
+      }
+      return (number.intValue());
+   }
+
+   /*******************************************************************************
+    ** Transport conversion avoids middleware dependencies in engine results.
+    *******************************************************************************/
+   private static <T> T transport(Object value, Class<T> type) throws Exception
+   {
+      return (JsonUtils.toObject(JsonUtils.toJson(value), type));
+   }
+
+   /*******************************************************************************
+    ** Check analysis availability.
+    *******************************************************************************/
+   public static class CapabilitiesSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public CapabilitiesSpec()
+      {
+         super("/tables/{table}/capabilities", HttpMethod.GET, "Check analysis availability",
+            "Discover whether the current user can analyze this table, readable fields, chart defaults, limits and backend capabilities.", null, "Capabilities");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (capabilities(input.getPathParam("table")));
+      }
+   }
+
+   /*******************************************************************************
+    ** Profile one column.
+    *******************************************************************************/
+   public static class ColumnProfileSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public ColumnProfileSpec()
+      {
+         super("/tables/{table}/column-profile", HttpMethod.POST, "Profile one column",
+            "Profile one column of a table under a filter: counts, nulls, distinct values, top values, numeric statistics and histogram, date patterns; every number has a drill-through filter unless privacy suppresses it.", "ColumnProfileRequest", "ColumnProfile");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (transport(DataAnalysisRuntime.service().columnProfile((ColumnProfileRequest) request("COLUMN_PROFILE", input.getPathParam("table"), input.getBody())), DataAnalysisSchemas.DataAnalysisColumnProfileV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** List distinct column values.
+    *******************************************************************************/
+   public static class DistinctValuesSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public DistinctValuesSpec()
+      {
+         super("/tables/{table}/distinct-values", HttpMethod.POST, "List distinct column values",
+            "Page through distinct stored values with display labels, counts and drill-through filters; search narrows stored values.", "DistinctValuesRequest", "DistinctValuesPage");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (transport(DataAnalysisRuntime.service().distinctValues((DistinctValuesRequest) request("DISTINCT_VALUES", input.getPathParam("table"), input.getBody())), DataAnalysisSchemas.DataAnalysisDistinctValuesPageV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Profile table completeness and keys.
+    *******************************************************************************/
+   public static class TableProfileSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public TableProfileSpec()
+      {
+         super("/tables/{table}/table-profile", HttpMethod.POST, "Profile table completeness and keys",
+            "Profile readable fields under a filter for completeness, uniqueness, constant or empty columns and candidate keys.", "TableProfileRequest", "TableProfile");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (transport(DataAnalysisRuntime.service().tableProfile((TableProfileRequest) request("TABLE_PROFILE", input.getPathParam("table"), input.getBody())), DataAnalysisSchemas.DataAnalysisTableProfileV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Find duplicate groups.
+    *******************************************************************************/
+   public static class DuplicatesSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public DuplicatesSpec()
+      {
+         super("/tables/{table}/duplicates", HttpMethod.POST, "Find duplicate groups",
+            "Group matching records by the selected readable fields and return repeated tuples with counts and drill-through filters.", "DuplicatesRequest", "DuplicatesResult");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (transport(DataAnalysisRuntime.service().duplicates((DuplicatesRequest) request("DUPLICATES", input.getPathParam("table"), input.getBody())), DataAnalysisSchemas.DataAnalysisDuplicatesResultV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Start an exact profile run.
+    *******************************************************************************/
+   public static class StartRunSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public StartRunSpec()
+      {
+         super("/runs", HttpMethod.POST, "Start an exact profile run",
+            "Start an owner-scoped exact column or table profile. Poll the returned runId until COMPLETE or FAILED; results honor the current session permissions.", "StartRunRequest", "RunStarted");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         Map<String, Object> body = input.getBody();
+         if(body == null || !(body.get("tableName") instanceof String name) || !(body.get("operation") instanceof String operation)
+            || !List.of("COLUMN_PROFILE", "TABLE_PROFILE").contains(operation) || !(body.get("request") instanceof Map<?, ?>))
+         {
+            throw new QBadRequestException("Supply operation, tableName and a profile request object.");
+         }
+         Map<String, Object> parameters = JsonUtils.toObject(JsonUtils.toJson(body.get("request")), java.util.LinkedHashMap.class);
+         String id = DataAnalysisRuntime.service().startExactRun(request(operation, name, parameters));
+         DataAnalysisSchemas.DataAnalysisRunStartedV1 result = new DataAnalysisSchemas.DataAnalysisRunStartedV1();
+         result.runId = id;
+         result.status = DataAnalysisRuntime.service().getRun(id).getStatus();
+         return (result);
+      }
+   }
+
+   /*******************************************************************************
+    ** Get an exact profile run.
+    *******************************************************************************/
+   public static class GetRunSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor used by the core extension registry.
+       *******************************************************************************/
+      public GetRunSpec()
+      {
+         super("/runs/{runId}", HttpMethod.GET, "Get an exact profile run",
+            "Read status, timestamps and the typed columnProfile or tableProfile result of an owner-scoped run. Completed results are rechecked against current permissions.", null, "RunStatus");
+      }
+
+      /*******************************************************************************
+       ** Execute in the request session established by core middleware.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (transport(DataAnalysisRuntime.service().getRun(input.getPathParam("runId")), DataAnalysisSchemas.DataAnalysisRunStatusV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Permission probing is a successful response with no disclosed field list.
+    *******************************************************************************/
+   private static DataAnalysisSchemas.DataAnalysisCapabilitiesV1 capabilities(String name) throws Exception
+   {
+      QTableMetaData table = table(name);
+      DataAnalysisSchemas.DataAnalysisCapabilitiesV1 result = new DataAnalysisSchemas.DataAnalysisCapabilitiesV1();
+      result.tableName = name;
+      result.tableLabel = table.getLabel();
+      result.canAnalyze = false;
+      result.fields = List.of();
+      result.backendCapabilities = List.of();
+      result.sqlWorkbenchAvailable = com.kingsrook.qbits.dataanalysis.saved.SqlHandoff.installedAndAllowed();
+      try
+      {
+         var capabilities = DataAnalysisRuntime.service().capabilities(name);
+         result.canAnalyze = true;
+         result.backendCapabilities = CoreAnalysisBackend.capabilities(name).stream().map(Enum::name).sorted().toList();
+         result.fields = capabilities.getFields().stream().map(f -> capabilityField(table.getField(f))).toList();
+         var config = capabilities.getConfig();
+         result.limits = new DataAnalysisSchemas.DataAnalysisLimitsV1();
+         result.limits.maxRows = config.getMaxRows();
+         result.limits.sampleThresholdRows = config.getSampleThresholdRows();
+         result.limits.sampleRows = config.getSampleRows();
+         result.limits.minGroupSize = config.getMinGroupSize();
+      }
+      catch(QPermissionDeniedException expected)
+      {
+         // A UI capability probe deliberately reports denial without an error.
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Semantic type and the default visualization, with PVS/FK taking priority.
+    *******************************************************************************/
+   private static DataAnalysisSchemas.DataAnalysisCapabilityFieldV1 capabilityField(QFieldMetaData field)
+   {
+      DataAnalysisSchemas.DataAnalysisCapabilityFieldV1 result = new DataAnalysisSchemas.DataAnalysisCapabilityFieldV1();
+      result.name = field.getName();
+      result.label = field.getLabel();
+      result.type = field.getType().name();
+      result.kind = field.getPossibleValueSourceName() != null ? "CATEGORY" : switch(field.getType())
+      {
+         case INTEGER, LONG, DECIMAL -> "NUMERIC";
+         case DATE -> "DATE";
+         case DATE_TIME -> "DATE_TIME";
+         case BOOLEAN -> "BOOLEAN";
+         default -> "TEXT";
+      };
+      result.defaultChartKind = switch(result.kind)
+      {
+         case "NUMERIC" -> ChartKind.HISTOGRAM;
+         case "DATE", "DATE_TIME" -> ChartKind.TIME_SERIES;
+         default -> ChartKind.BAR;
+      };
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Group records by row and column dimensions.
+    *******************************************************************************/
+   public static class PivotSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Publish assistant-friendly grouping and measure capabilities.
+       *******************************************************************************/
+      public PivotSpec()
+      {
+         super("/tables/{table}/pivot", HttpMethod.POST, "Explore a pivot table",
+            "Group records by up to 3 row and 2 column fields (with date or numeric buckets) and compute counts, sums, averages, min/max, distinct counts or percentiles per cell; every cell has a drill-through filter.", "PivotRequest", "Pivot");
+      }
+
+      /*******************************************************************************
+       ** Strict body validation precedes the session-bound engine.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         table(tableName);
+         DataAnalysisRuntime.service().capabilities(tableName);
+         PivotRequest pivot;
+         try
+         {
+            Map<String, Object> body = input.getBody();
+            integer(body, "limitGroups", 50, 1, 200);
+            if(body.containsKey("showTotals") && !(body.get("showTotals") instanceof Boolean))
+            {
+               throw new IllegalArgumentException("showTotals must be a boolean.");
+            }
+            for(String axis : List.of("rows", "columns"))
+            {
+               if(body.containsKey(axis))
+               {
+                  if(!(body.get(axis) instanceof List<?> dimensions))
+                  {
+                     throw new IllegalArgumentException("Dimensions must be arrays.");
+                  }
+                  for(Object dimension : dimensions)
+                  {
+                     if(!(dimension instanceof Map<?, ?> map) || !(map.get("field") instanceof String))
+                     {
+                        throw new IllegalArgumentException("Each dimension requires a field name.");
+                     }
+                     if(map.get("numericBins") instanceof Map<?, ?> bins)
+                     {
+                        Object count = bins.get("count");
+                        if(count != null && (!(count instanceof Number number) || number.doubleValue() != number.intValue()))
+                        {
+                           throw new IllegalArgumentException("Bin count must be an integer.");
+                        }
+                     }
+                  }
+               }
+            }
+            if(!(body.get("values") instanceof List<?> values) || values.stream().anyMatch(v -> !(v instanceof Map<?, ?> m)
+               || !(m.get("operator") instanceof String) || m.get("field") != null && !(m.get("field") instanceof String)))
+            {
+               throw new IllegalArgumentException("Measures require an operator and optional field name.");
+            }
+            pivot = JsonUtils.toObject(JsonUtils.toJson(body), PivotRequest.class).withTableName(tableName);
+            validateFilter(pivot.getFilter());
+         }
+         catch(Exception e)
+         {
+            throw new QBadRequestException("Invalid pivot request.");
+         }
+         return (transport(DataAnalysisRuntime.service().pivot(pivot), DataAnalysisSchemas.DataAnalysisPivotV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Strict JSON types before Jackson conversion; engine validates FULL fields.
+    *******************************************************************************/
+   private static <T> T relationshipRequest(String tableName, Map<String, Object> body, Class<T> type) throws Exception
+   {
+      table(tableName);
+      DataAnalysisRuntime.service().capabilities(tableName);
+      try
+      {
+         for(String name : List.of("field", "dateField", "bucket", "xField", "yField", "rowField", "columnField", "labelA", "labelB"))
+         {
+            if(body.containsKey(name) && !(body.get(name) instanceof String))
+            {
+               throw new IllegalArgumentException("Expected a field name or label.");
+            }
+         }
+         if(body.containsKey("fields") && (!(body.get("fields") instanceof List<?> fields) || fields.stream().anyMatch(f -> !(f instanceof String))))
+         {
+            throw new IllegalArgumentException("Expected an array of field names.");
+         }
+         if(body.containsKey("limit"))
+         {
+            integer(body, "limit", 2000, 1, type == CrosstabRequest.class ? 20 : 2000);
+         }
+         for(String name : List.of("filter", "filterA", "filterB"))
+         {
+            Object filter = body.get(name);
+            if(filter != null)
+            {
+               if(!(filter instanceof Map<?, ?>))
+               {
+                  throw new IllegalArgumentException("Expected a query filter object.");
+               }
+               validateFilter(JsonUtils.toObject(JsonUtils.toJson(filter), QQueryFilter.class));
+            }
+         }
+         return (JsonUtils.toObject(JsonUtils.toJson(body), type));
+      }
+      catch(Exception e)
+      {
+         throw new QBadRequestException("Invalid relationship request.");
+      }
+   }
+
+   /*******************************************************************************
+    ** Compare filtered A with filtered B (null means the whole permitted table). Return means, medians or category shares, B-minus-A deltas, valid significance tests and count-equivalent drills. Only FULL fields are accepted.
+    *******************************************************************************/
+   public static class CompareSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor for endpoint and assistant discovery.
+       *******************************************************************************/
+      public CompareSpec()
+      {
+         super("/tables/{table}/compare", HttpMethod.POST, "Compare two populations",
+            "Compare filtered A with filtered B (null means the whole permitted table). Return means, medians or category shares, B-minus-A deltas, valid significance tests and count-equivalent drills. Only FULL fields are accepted.", "CompareRequest", "Compare");
+      }
+
+      /*******************************************************************************
+       ** Execute with the calling session and versioned transport contract.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         CompareRequest request = relationshipRequest(tableName, input.getBody(), CompareRequest.class).withTableName(tableName);
+         return (transport(DataAnalysisRuntime.service().compare(request), RelationshipSchemas.DataAnalysisCompareV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Compare category shares or numeric quartiles across session-timezone calendar buckets. Compute descriptive PSI between the first and last complete nonempty buckets using fixed categories or baseline quartile bins.
+    *******************************************************************************/
+   public static class ShiftSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor for endpoint and assistant discovery.
+       *******************************************************************************/
+      public ShiftSpec()
+      {
+         super("/tables/{table}/shift", HttpMethod.POST, "Measure distribution shift over time",
+            "Compare category shares or numeric quartiles across session-timezone calendar buckets. Compute descriptive PSI between the first and last complete nonempty buckets using fixed categories or baseline quartile bins.", "ShiftRequest", "Shift");
+      }
+
+      /*******************************************************************************
+       ** Execute with the calling session and versioned transport contract.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         ShiftRequest request = relationshipRequest(tableName, input.getBody(), ShiftRequest.class).withTableName(tableName);
+         return (transport(DataAnalysisRuntime.service().shift(request), RelationshipSchemas.DataAnalysisShiftV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Compute a Pearson correlation matrix for 2 to 12 distinct FULL numeric fields, using paired non-null records. Every cell includes n and parameters for the scatter endpoint; core pushes down CORR or uses bounded streaming.
+    *******************************************************************************/
+   public static class CorrelationSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor for endpoint and assistant discovery.
+       *******************************************************************************/
+      public CorrelationSpec()
+      {
+         super("/tables/{table}/correlation", HttpMethod.POST, "Find numeric relationships",
+            "Compute a Pearson correlation matrix for 2 to 12 distinct FULL numeric fields, using paired non-null records. Every cell includes n and parameters for the scatter endpoint; core pushes down CORR or uses bounded streaming.", "CorrelationRequest", "Correlation");
+      }
+
+      /*******************************************************************************
+       ** Execute with the calling session and versioned transport contract.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         CorrelationRequest request = relationshipRequest(tableName, input.getBody(), CorrelationRequest.class).withTableName(tableName);
+         return (transport(DataAnalysisRuntime.service().correlation(request), RelationshipSchemas.DataAnalysisCorrelationV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Return at most 2000 paired numeric points as the user, ordered by primary key when core query sampling is unavailable, plus a least-squares line fitted to the sample. Privacy disables individual drills and suppresses small populations.
+    *******************************************************************************/
+   public static class ScatterSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor for endpoint and assistant discovery.
+       *******************************************************************************/
+      public ScatterSpec()
+      {
+         super("/tables/{table}/scatter", HttpMethod.POST, "Inspect a numeric relationship",
+            "Return at most 2000 paired numeric points as the user, ordered by primary key when core query sampling is unavailable, plus a least-squares line fitted to the sample. Privacy disables individual drills and suppresses small populations.", "ScatterRequest", "Scatter");
+      }
+
+      /*******************************************************************************
+       ** Execute with the calling session and versioned transport contract.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         ScatterRequest request = relationshipRequest(tableName, input.getBody(), ScatterRequest.class).withTableName(tableName);
+         return (transport(DataAnalysisRuntime.service().scatter(request), RelationshipSchemas.DataAnalysisScatterV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Count combinations of two FULL fields with row and column shares, up to 20 categories per axis plus Other. Test independence using chi-square and Cramer V after pooling low expected counts; privacy suppresses small cells and their drills.
+    *******************************************************************************/
+   public static class CrosstabSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Public constructor for endpoint and assistant discovery.
+       *******************************************************************************/
+      public CrosstabSpec()
+      {
+         super("/tables/{table}/crosstab", HttpMethod.POST, "Cross-tabulate two fields",
+            "Count combinations of two FULL fields with row and column shares, up to 20 categories per axis plus Other. Test independence using chi-square and Cramer V after pooling low expected counts; privacy suppresses small cells and their drills.", "CrosstabRequest", "Crosstab");
+      }
+
+      /*******************************************************************************
+       ** Execute with the calling session and versioned transport contract.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         String tableName = input.getPathParam("table");
+         CrosstabRequest request = relationshipRequest(tableName, input.getBody(), CrosstabRequest.class).withTableName(tableName);
+         return (transport(DataAnalysisRuntime.service().crosstab(request), RelationshipSchemas.DataAnalysisCrosstabV1.class));
+      }
+   }
+
+   /*******************************************************************************
+    ** Read-only watch preview; standard table endpoints own watch CRUD.
+    *******************************************************************************/
+   public static class WatchPreviewSpec extends ProfileSpec
+   {
+      /*******************************************************************************
+       ** Publish a side-effect-free detector preview for a saved watch.
+       *******************************************************************************/
+      public WatchPreviewSpec()
+      {
+         super("/watches/{id}/preview", HttpMethod.POST, "Preview an anomaly watch",
+            "Compute complete time buckets and a detector verdict under the signed-in user's READ, Analyze and FULL-field permissions. Includes a baseline band annotation. Does not update the watch or raise alerts.", null, "WatchPreview");
+      }
+
+      /*******************************************************************************
+       ** Missing or inaccessible watch ids return the same not-found response.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         Integer id;
+         try
+         {
+            id = Integer.valueOf(input.getPathParam("id"));
+         }
+         catch(NumberFormatException e)
+         {
+            throw new QBadRequestException("Watch id must be an integer.");
+         }
+         return (transport(DataAnalysisRuntime.watches().preview(id, java.time.Instant.now()), WatchSchemas.DataAnalysisWatchPreviewV1.class));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/api/RelationshipSchemas.java

@@ -0,0 +1,663 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.io.Serializable;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.middleware.javalin.schemabuilder.ToSchema;
+import com.kingsrook.qqq.middleware.javalin.schemabuilder.annotations.OpenAPIDescription;
+import com.kingsrook.qqq.openapi.model.Schema;
+import com.kingsrook.qqq.openapi.model.Type;
+
+/*******************************************************************************
+ ** Explicit version-one contracts for compare and relationships.
+ *******************************************************************************/
+public class RelationshipSchemas
+{
+   /*******************************************************************************
+    ** Register every referenced response and request component.
+    *******************************************************************************/
+   public static Map<String, Schema> components()
+   {
+      Map<String, Schema> result = new LinkedHashMap<>();
+      result.put("DataAnalysisCompareRequestV1", new DataAnalysisCompareRequestV1().toSchema());
+      result.put("DataAnalysisShiftRequestV1", new DataAnalysisShiftRequestV1().toSchema());
+      result.put("DataAnalysisCorrelationRequestV1", new DataAnalysisCorrelationRequestV1().toSchema());
+      result.put("DataAnalysisScatterRequestV1", new DataAnalysisScatterRequestV1().toSchema());
+      result.put("DataAnalysisCrosstabRequestV1", new DataAnalysisCrosstabRequestV1().toSchema());
+      result.put("DataAnalysisSignificanceV1", new DataAnalysisSignificanceV1().toSchema());
+      result.put("DataAnalysisComparisonSideV1", new DataAnalysisComparisonSideV1().toSchema());
+      result.put("DataAnalysisComparisonValueV1", new DataAnalysisComparisonValueV1().toSchema());
+      result.put("DataAnalysisFieldComparisonV1", new DataAnalysisFieldComparisonV1().toSchema());
+      result.put("DataAnalysisCompareV1", new DataAnalysisCompareV1().toSchema());
+      result.put("DataAnalysisShiftBucketV1", new DataAnalysisShiftBucketV1().toSchema());
+      result.put("DataAnalysisShiftV1", new DataAnalysisShiftV1().toSchema());
+      result.put("DataAnalysisCorrelationCellV1", new DataAnalysisCorrelationCellV1().toSchema());
+      result.put("DataAnalysisCorrelationV1", new DataAnalysisCorrelationV1().toSchema());
+      result.put("DataAnalysisTrendLineV1", new DataAnalysisTrendLineV1().toSchema());
+      result.put("DataAnalysisScatterV1", new DataAnalysisScatterV1().toSchema());
+      result.put("DataAnalysisCrosstabCellV1", new DataAnalysisCrosstabCellV1().toSchema());
+      result.put("DataAnalysisCrosstabV1", new DataAnalysisCrosstabV1().toSchema());
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Reuse the common metric, filter and chart contracts.
+    *******************************************************************************/
+   private static Schema ref(String name)
+   {
+      return (new Schema().withRef("#/components/schemas/" + name));
+   }
+
+   /*******************************************************************************
+    ** CompareRequest version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCompareRequestV1 implements ToSchema
+   {
+      @OpenAPIDescription("Population A filter; null selects the whole permitted table.")
+      public QQueryFilter filterA;
+
+      @OpenAPIDescription("Population B filter; null selects the whole permitted table.")
+      public QQueryFilter filterB;
+
+      @OpenAPIDescription("Display name of population A; default A.")
+      public String labelA;
+
+      @OpenAPIDescription("Display name of population B; default B.")
+      public String labelB;
+
+      @OpenAPIDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.")
+      public List<String> fields;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("filterA", ref("QueryFilter").withDescription("Population A filter; null selects the whole permitted table.").withNullable(true));
+         properties.put("filterB", ref("QueryFilter").withDescription("Population B filter; null selects the whole permitted table.").withNullable(true));
+         properties.put("labelA", new Schema().withType(Type.STRING).withDescription("Display name of population A; default A."));
+         properties.put("labelB", new Schema().withType(Type.STRING).withDescription("Display name of population B; default B."));
+         properties.put("fields", new Schema().withType(Type.ARRAY).withItems(new Schema().withType(Type.STRING)).withDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields."));
+         return (new DataAnalysisSchemas.RequiredSchema(List.of("fields")).withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ShiftRequest version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisShiftRequestV1 implements ToSchema
+   {
+      @OpenAPIDescription("Current-user query filter; record locks and core field rules apply.")
+      public QQueryFilter filter;
+
+      @OpenAPIDescription("FULL field whose distribution is compared over time.")
+      public String field;
+
+      @OpenAPIDescription("FULL DATE or DATE_TIME field for session-timezone calendar buckets.")
+      public String dateField;
+
+      @OpenAPIDescription("Calendar unit: HOUR, DAY, WEEK, MONTH, QUARTER or YEAR; default MONTH.")
+      public String bucket;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("filter", ref("QueryFilter").withDescription("Current-user query filter; record locks and core field rules apply.").withNullable(true));
+         properties.put("field", new Schema().withType(Type.STRING).withDescription("FULL field whose distribution is compared over time."));
+         properties.put("dateField", new Schema().withType(Type.STRING).withDescription("FULL DATE or DATE_TIME field for session-timezone calendar buckets."));
+         properties.put("bucket", new Schema().withType(Type.STRING).withDescription("Calendar unit: HOUR, DAY, WEEK, MONTH, QUARTER or YEAR; default MONTH."));
+         return (new DataAnalysisSchemas.RequiredSchema(List.of("field", "dateField")).withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CorrelationRequest version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCorrelationRequestV1 implements ToSchema
+   {
+      @OpenAPIDescription("Current-user query filter; record locks and core field rules apply.")
+      public QQueryFilter filter;
+
+      @OpenAPIDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.")
+      public List<String> fields;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("filter", ref("QueryFilter").withDescription("Current-user query filter; record locks and core field rules apply.").withNullable(true));
+         properties.put("fields", new Schema().withType(Type.ARRAY).withItems(new Schema().withType(Type.STRING)).withDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields."));
+         return (new DataAnalysisSchemas.RequiredSchema(List.of("fields")).withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ScatterRequest version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisScatterRequestV1 implements ToSchema
+   {
+      @OpenAPIDescription("Table for the scatter link; route parameter takes precedence.")
+      public String tableName;
+
+      @OpenAPIDescription("Compatibility flag; scatter always returns the bounded sample.")
+      public Boolean exact;
+      @OpenAPIDescription("Current-user query filter; record locks and core field rules apply.")
+      public QQueryFilter filter;
+
+      @OpenAPIDescription("FULL numeric field on the x axis.")
+      public String xField;
+
+      @OpenAPIDescription("FULL numeric field on the y axis.")
+      public String yField;
+
+      @OpenAPIDescription("Maximum sample points (1 to 2000, default 2000) or kept crosstab categories per axis (1 to 20, default 20).")
+      public Integer limit;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("tableName", new Schema().withType(Type.STRING).withDescription("Table for the scatter link; route parameter takes precedence.").withNullable(true));
+         properties.put("exact", new Schema().withType(Type.BOOLEAN).withDescription("Compatibility flag; scatter always returns the bounded sample.").withNullable(true));
+         properties.put("filter", ref("QueryFilter").withDescription("Current-user query filter; record locks and core field rules apply.").withNullable(true));
+         properties.put("xField", new Schema().withType(Type.STRING).withDescription("FULL numeric field on the x axis."));
+         properties.put("yField", new Schema().withType(Type.STRING).withDescription("FULL numeric field on the y axis."));
+         properties.put("limit", new Schema().withType(Type.INTEGER).withDescription("Maximum sample points (1 to 2000, default 2000) or kept crosstab categories per axis (1 to 20, default 20)."));
+         return (new DataAnalysisSchemas.RequiredSchema(List.of("xField", "yField")).withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CrosstabRequest version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCrosstabRequestV1 implements ToSchema
+   {
+      @OpenAPIDescription("Current-user query filter; record locks and core field rules apply.")
+      public QQueryFilter filter;
+
+      @OpenAPIDescription("FULL field defining crosstab rows.")
+      public String rowField;
+
+      @OpenAPIDescription("FULL field defining crosstab columns.")
+      public String columnField;
+
+      @OpenAPIDescription("Maximum sample points (1 to 2000, default 2000) or kept crosstab categories per axis (1 to 20, default 20).")
+      public Integer limit;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("filter", ref("QueryFilter").withDescription("Current-user query filter; record locks and core field rules apply.").withNullable(true));
+         properties.put("rowField", new Schema().withType(Type.STRING).withDescription("FULL field defining crosstab rows."));
+         properties.put("columnField", new Schema().withType(Type.STRING).withDescription("FULL field defining crosstab columns."));
+         properties.put("limit", new Schema().withType(Type.INTEGER).withDescription("Maximum sample points (1 to 2000, default 2000) or kept crosstab categories per axis (1 to 20, default 20)."));
+         return (new DataAnalysisSchemas.RequiredSchema(List.of("rowField", "columnField")).withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** Significance version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisSignificanceV1 implements ToSchema
+   {
+      @OpenAPIDescription("Test.")
+      public String test;
+
+      @OpenAPIDescription("Statistic.")
+      public Double statistic;
+
+      @OpenAPIDescription("Degrees of freedom; null when undefined.")
+      public Double df;
+
+      @OpenAPIDescription("Two-sided p-value; p >= 0.05 is never significant.")
+      public Double pValue;
+
+      @OpenAPIDescription("Whether all test validity and privacy requirements hold.")
+      public Boolean applicable;
+
+      @OpenAPIDescription("Plain-language result or reason the statistic is not applicable.")
+      public String sentence;
+
+      @OpenAPIDescription("Cramer association strength computed on the pooled contingency table; null when invalid.")
+      public Double cramersV;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("test", new Schema().withType(Type.STRING).withDescription("Test.").withNullable(true));
+         properties.put("statistic", new Schema().withType(Type.NUMBER).withDescription("Statistic.").withNullable(true));
+         properties.put("df", new Schema().withType(Type.NUMBER).withDescription("Degrees of freedom; null when undefined.").withNullable(true));
+         properties.put("pValue", new Schema().withType(Type.NUMBER).withDescription("Two-sided p-value; p >= 0.05 is never significant.").withNullable(true));
+         properties.put("applicable", new Schema().withType(Type.BOOLEAN).withDescription("Whether all test validity and privacy requirements hold.").withNullable(true));
+         properties.put("sentence", new Schema().withType(Type.STRING).withDescription("Plain-language result or reason the statistic is not applicable.").withNullable(true));
+         properties.put("cramersV", new Schema().withType(Type.NUMBER).withDescription("Cramer association strength computed on the pooled contingency table; null when invalid.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ComparisonSide version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisComparisonSideV1 implements ToSchema
+   {
+      @OpenAPIDescription("Label.")
+      public String label;
+
+      @OpenAPIDescription("Typed metrics with exact population drills unless privacy suppresses them.")
+      public List<DataAnalysisSchemas.DataAnalysisMetricV1> metrics;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("label", new Schema().withType(Type.STRING).withDescription("Label.").withNullable(true));
+         properties.put("metrics", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisMetricV1")).withDescription("Typed metrics with exact population drills unless privacy suppresses them.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ComparisonValue version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisComparisonValueV1 implements ToSchema
+   {
+      @OpenAPIDescription("Value.")
+      public Serializable value;
+
+      @OpenAPIDescription("Label.")
+      public String label;
+
+      @OpenAPIDescription("Side a.")
+      public DataAnalysisComparisonSideV1 sideA;
+
+      @OpenAPIDescription("Side b.")
+      public DataAnalysisComparisonSideV1 sideB;
+
+      @OpenAPIDescription("B minus A, in original units (share differences are fractions).")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 delta;
+
+      @OpenAPIDescription("(B minus A) divided by absolute A, a fraction; null at a zero baseline.")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 percentDelta;
+
+      @OpenAPIDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.")
+      public DataAnalysisSignificanceV1 significance;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("value", new Schema().withDescription("Value.").withNullable(true));
+         properties.put("label", new Schema().withType(Type.STRING).withDescription("Label.").withNullable(true));
+         properties.put("sideA", ref("DataAnalysisComparisonSideV1").withDescription("Side a.").withNullable(true));
+         properties.put("sideB", ref("DataAnalysisComparisonSideV1").withDescription("Side b.").withNullable(true));
+         properties.put("delta", ref("DataAnalysisMetricV1").withDescription("B minus A, in original units (share differences are fractions).").withNullable(true));
+         properties.put("percentDelta", ref("DataAnalysisMetricV1").withDescription("(B minus A) divided by absolute A, a fraction; null at a zero baseline.").withNullable(true));
+         properties.put("significance", ref("DataAnalysisSignificanceV1").withDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** FieldComparison version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisFieldComparisonV1 implements ToSchema
+   {
+      @OpenAPIDescription("FULL field whose distribution is compared over time.")
+      public String field;
+
+      @OpenAPIDescription("Values.")
+      public List<DataAnalysisComparisonValueV1> values;
+
+      @OpenAPIDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.")
+      public DataAnalysisSignificanceV1 significance;
+
+      @OpenAPIDescription("Semantic series; category comparisons are grouped and category time series are stacked.")
+      public DataAnalysisSchemas.DataAnalysisChartV1 chart;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("field", new Schema().withType(Type.STRING).withDescription("FULL field whose distribution is compared over time.").withNullable(true));
+         properties.put("values", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisComparisonValueV1")).withDescription("Values.").withNullable(true));
+         properties.put("significance", ref("DataAnalysisSignificanceV1").withDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.").withNullable(true));
+         properties.put("chart", ref("DataAnalysisChartV1").withDescription("Semantic series; category comparisons are grouped and category time series are stacked.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CompareResult version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCompareV1 implements ToSchema
+   {
+      @OpenAPIDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.")
+      public List<DataAnalysisFieldComparisonV1> fields;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("fields", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisFieldComparisonV1")).withDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ShiftBucket version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisShiftBucketV1 implements ToSchema
+   {
+      @OpenAPIDescription("Value.")
+      public Serializable value;
+
+      @OpenAPIDescription("Label.")
+      public String label;
+
+      @OpenAPIDescription("True when the calendar bucket end has passed in the session timezone.")
+      public Boolean complete;
+
+      @OpenAPIDescription("Typed metrics with exact population drills unless privacy suppresses them.")
+      public List<DataAnalysisSchemas.DataAnalysisMetricV1> metrics;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("value", new Schema().withDescription("Value.").withNullable(true));
+         properties.put("label", new Schema().withType(Type.STRING).withDescription("Label.").withNullable(true));
+         properties.put("complete", new Schema().withType(Type.BOOLEAN).withDescription("True when the calendar bucket end has passed in the session timezone.").withNullable(true));
+         properties.put("metrics", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisMetricV1")).withDescription("Typed metrics with exact population drills unless privacy suppresses them.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ShiftResult version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisShiftV1 implements ToSchema
+   {
+      @OpenAPIDescription("Buckets.")
+      public List<DataAnalysisShiftBucketV1> buckets;
+
+      @OpenAPIDescription("Population stability index, null when inapplicable; zero shares are floored at 0.000001.")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 psi;
+
+      @OpenAPIDescription("Plain-language result or reason the statistic is not applicable.")
+      public String sentence;
+
+      @OpenAPIDescription("Semantic series; category comparisons are grouped and category time series are stacked.")
+      public DataAnalysisSchemas.DataAnalysisChartV1 chart;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("buckets", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisShiftBucketV1")).withDescription("Buckets.").withNullable(true));
+         properties.put("psi", ref("DataAnalysisMetricV1").withDescription("Population stability index, null when inapplicable; zero shares are floored at 0.000001.").withNullable(true));
+         properties.put("sentence", new Schema().withType(Type.STRING).withDescription("Plain-language result or reason the statistic is not applicable.").withNullable(true));
+         properties.put("chart", ref("DataAnalysisChartV1").withDescription("Semantic series; category comparisons are grouped and category time series are stacked.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CorrelationCell version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCorrelationCellV1 implements ToSchema
+   {
+      @OpenAPIDescription("FULL numeric field on the x axis.")
+      public String xField;
+
+      @OpenAPIDescription("FULL numeric field on the y axis.")
+      public String yField;
+
+      @OpenAPIDescription("Pairwise non-null population count; null when privacy suppresses it.")
+      public Long n;
+
+      @OpenAPIDescription("Pearson correlation; null for insufficient data, zero variance or privacy suppression.")
+      public Double r;
+
+      @OpenAPIDescription("POST the included parameters to the table scatter endpoint.")
+      public DataAnalysisScatterRequestV1 scatter;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("xField", new Schema().withType(Type.STRING).withDescription("FULL numeric field on the x axis.").withNullable(true));
+         properties.put("yField", new Schema().withType(Type.STRING).withDescription("FULL numeric field on the y axis.").withNullable(true));
+         properties.put("n", new Schema().withType(Type.INTEGER).withDescription("Pairwise non-null population count; null when privacy suppresses it.").withNullable(true));
+         properties.put("r", new Schema().withType(Type.NUMBER).withDescription("Pearson correlation; null for insufficient data, zero variance or privacy suppression.").withNullable(true));
+         properties.put("scatter", ref("DataAnalysisScatterRequestV1").withDescription("POST the included parameters to the table scatter endpoint.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CorrelationResult version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCorrelationV1 implements ToSchema
+   {
+      @OpenAPIDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.")
+      public List<String> fields;
+
+      @OpenAPIDescription("Cells.")
+      public List<DataAnalysisCorrelationCellV1> cells;
+
+      @OpenAPIDescription("Semantic series; category comparisons are grouped and category time series are stacked.")
+      public DataAnalysisSchemas.DataAnalysisChartV1 chart;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("fields", new Schema().withType(Type.ARRAY).withItems(new Schema().withType(Type.STRING)).withDescription("Distinct FULL fields to analyze; correlation requires 2 to 12 numeric fields.").withNullable(true));
+         properties.put("cells", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisCorrelationCellV1")).withDescription("Cells.").withNullable(true));
+         properties.put("chart", ref("DataAnalysisChartV1").withDescription("Semantic series; category comparisons are grouped and category time series are stacked.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** TrendLine version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisTrendLineV1 implements ToSchema
+   {
+      @OpenAPIDescription("Slope.")
+      public Double slope;
+
+      @OpenAPIDescription("Intercept.")
+      public Double intercept;
+
+      @OpenAPIDescription("Pearson correlation; null for insufficient data, zero variance or privacy suppression.")
+      public Double r;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("slope", new Schema().withType(Type.NUMBER).withDescription("Slope.").withNullable(true));
+         properties.put("intercept", new Schema().withType(Type.NUMBER).withDescription("Intercept.").withNullable(true));
+         properties.put("r", new Schema().withType(Type.NUMBER).withDescription("Pearson correlation; null for insufficient data, zero variance or privacy suppression.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** ScatterResult version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisScatterV1 implements ToSchema
+   {
+      @OpenAPIDescription("Pairwise non-null population count; null when privacy suppresses it.")
+      public Long n;
+
+      @OpenAPIDescription("Number of displayed paired records.")
+      public Integer sampleSize;
+
+      @OpenAPIDescription("Sampling method; core query currently uses a deterministic primary-key prefix.")
+      public String sampling;
+
+      @OpenAPIDescription("Points.")
+      public List<DataAnalysisSchemas.DataAnalysisPointV1> points;
+
+      @OpenAPIDescription("Least-squares slope, intercept and r fitted to the displayed sample.")
+      public DataAnalysisTrendLineV1 trend;
+
+      @OpenAPIDescription("Semantic series; category comparisons are grouped and category time series are stacked.")
+      public DataAnalysisSchemas.DataAnalysisChartV1 chart;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("n", new Schema().withType(Type.INTEGER).withDescription("Pairwise non-null population count; null when privacy suppresses it.").withNullable(true));
+         properties.put("sampleSize", new Schema().withType(Type.INTEGER).withDescription("Number of displayed paired records.").withNullable(true));
+         properties.put("sampling", new Schema().withType(Type.STRING).withDescription("Sampling method; core query currently uses a deterministic primary-key prefix.").withNullable(true));
+         properties.put("points", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisPointV1")).withDescription("Points.").withNullable(true));
+         properties.put("trend", ref("DataAnalysisTrendLineV1").withDescription("Least-squares slope, intercept and r fitted to the displayed sample.").withNullable(true));
+         properties.put("chart", ref("DataAnalysisChartV1").withDescription("Semantic series; category comparisons are grouped and category time series are stacked.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CrosstabCell version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCrosstabCellV1 implements ToSchema
+   {
+      @OpenAPIDescription("Row index.")
+      public Integer rowIndex;
+
+      @OpenAPIDescription("Column index.")
+      public Integer columnIndex;
+
+      @OpenAPIDescription("Cell count with its exact drill, or a suppressed metric.")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 count;
+
+      @OpenAPIDescription("Cell count divided by row total; suppressed if it could disclose a hidden cell.")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 rowShare;
+
+      @OpenAPIDescription("Cell count divided by column total; suppressed if it could disclose a hidden cell.")
+      public DataAnalysisSchemas.DataAnalysisMetricV1 columnShare;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("rowIndex", new Schema().withType(Type.INTEGER).withDescription("Row index.").withNullable(true));
+         properties.put("columnIndex", new Schema().withType(Type.INTEGER).withDescription("Column index.").withNullable(true));
+         properties.put("count", ref("DataAnalysisMetricV1").withDescription("Cell count with its exact drill, or a suppressed metric.").withNullable(true));
+         properties.put("rowShare", ref("DataAnalysisMetricV1").withDescription("Cell count divided by row total; suppressed if it could disclose a hidden cell.").withNullable(true));
+         properties.put("columnShare", ref("DataAnalysisMetricV1").withDescription("Cell count divided by column total; suppressed if it could disclose a hidden cell.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** CrosstabResult version-one transport model.
+    *******************************************************************************/
+   public static class DataAnalysisCrosstabV1 implements ToSchema
+   {
+      @OpenAPIDescription("Rows.")
+      public List<DataAnalysisSchemas.DataAnalysisPivotHeaderV1> rows;
+
+      @OpenAPIDescription("Columns.")
+      public List<DataAnalysisSchemas.DataAnalysisPivotHeaderV1> columns;
+
+      @OpenAPIDescription("Cells.")
+      public List<DataAnalysisCrosstabCellV1> cells;
+
+      @OpenAPIDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.")
+      public DataAnalysisSignificanceV1 significance;
+
+      /*******************************************************************************
+       ** Explicit references preserve the standalone OpenAPI fragment.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("rows", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisPivotHeaderV1")).withDescription("Rows.").withNullable(true));
+         properties.put("columns", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisPivotHeaderV1")).withDescription("Columns.").withNullable(true));
+         properties.put("cells", new Schema().withType(Type.ARRAY).withItems(ref("DataAnalysisCrosstabCellV1")).withDescription("Cells.").withNullable(true));
+         properties.put("significance", ref("DataAnalysisSignificanceV1").withDescription("Test assumptions, two-sided p-value, degrees of freedom and plain-language conclusion.").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/api/SavedApi.java

@@ -0,0 +1,208 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.saved.SavedDefinition;
+import com.kingsrook.qbits.dataanalysis.saved.SqlHandoff;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.openapi.model.HttpMethod;
+
+/*******************************************************************************
+ ** Saved execution, stars, visible lists and SQL discovery through the UI API.
+ *******************************************************************************/
+public final class SavedApi
+{
+   /*******************************************************************************
+    ** Namespace only.
+    *******************************************************************************/
+   private SavedApi()
+   {
+   }
+
+   /*******************************************************************************
+    ** Stable integer-id errors, without probing inaccessible records.
+    *******************************************************************************/
+   public static Integer id(String value) throws QBadRequestException
+   {
+      try
+      {
+         return (Integer.valueOf(value));
+      }
+      catch(Exception e)
+      {
+         throw new QBadRequestException("Saved analysis id must be an integer.");
+      }
+   }
+
+   /*******************************************************************************
+    ** Accept a discriminated typed request; path table overrides only absent tableName.
+    *******************************************************************************/
+   @SuppressWarnings("unchecked")
+   public static SavedDefinition definition(Map<String, Object> body, String pathTable) throws QException
+   {
+      if(!(body.get("kind") instanceof String kind))
+      {
+         throw new QBadRequestException("An analysis kind is required.");
+      }
+      Map<String, Object> request = new LinkedHashMap<>(body);
+      request.remove("kind");
+      request.remove("format");
+      if(body.containsKey("request"))
+      {
+         if(!(body.get("request") instanceof Map<?, ?> map))
+         {
+            throw new QBadRequestException("request must be a typed analysis object.");
+         }
+         request = new LinkedHashMap<>((Map<String, Object>) map);
+      }
+      Object table = pathTable == null ? body.getOrDefault("tableName", request.get("tableName")) : pathTable;
+      if(!(table instanceof String name))
+      {
+         throw new QBadRequestException("tableName is required.");
+      }
+      return (SavedDefinition.parse(kind, name, request));
+   }
+
+   /*******************************************************************************
+    ** Run the visible saved definition under the viewer's current source permissions.
+    *******************************************************************************/
+   public static class Run extends DataAnalysisApi.ProfileSpec
+   {
+      /*******************************************************************************
+       ** Publish assistant-oriented semantics and field-reduction behavior.
+       *******************************************************************************/
+      public Run()
+      {
+         super("/saved/{id}/run", HttpMethod.POST, "Run a saved analysis",
+            "Re-run a visible saved analysis as the signed-in viewer. Requires saved READ and source READ/Analyze. Drops unavailable fields with a warning and returns the result typed by kind; inaccessible required axes or predicates produce no result.", null, "SavedResult");
+      }
+
+      /*******************************************************************************
+       ** Core locks determine visibility, not an endpoint-specific owner check.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (DataAnalysisRuntime.saved().run(id(input.getPathParam("id"))));
+      }
+   }
+
+   /*******************************************************************************
+    ** Visible saved metadata with this viewer's personal stars.
+    *******************************************************************************/
+   public static class ListSaved extends DataAnalysisApi.ProfileSpec
+   {
+      /*******************************************************************************
+       ** A discoverable list rather than exposing the owner's cached result JSON.
+       *******************************************************************************/
+      public ListSaved()
+      {
+         super("/saved", HttpMethod.GET, "List visible saved analyses",
+            "List core-visible saved analyses with name, kind, source table label, owner, shared state, this viewer's starred flag and last update.", null, "SavedList");
+      }
+
+      /*******************************************************************************
+       ** The list and star lookup both use enforced core queries.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (Map.of("analyses", DataAnalysisRuntime.saved().list()));
+      }
+   }
+
+   /*******************************************************************************
+    ** Idempotent star PUT for the signed-in user.
+    *******************************************************************************/
+   public static class Star extends DataAnalysisApi.ProfileSpec
+   {
+      /*******************************************************************************
+       ** No user-id body is accepted; stars always belong to the caller.
+       *******************************************************************************/
+      public Star()
+      {
+         super("/saved/{id}/star", HttpMethod.PUT, "Star a saved analysis",
+            "Star a visible saved analysis for the signed-in user. Idempotent; uses standard saved insert permission and the personal star record lock.", null, "Star");
+      }
+
+      /*******************************************************************************
+       ** Persist through core table CRUD.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (Map.of("starred", DataAnalysisRuntime.saved().star(id(input.getPathParam("id")), true)));
+      }
+   }
+
+   /*******************************************************************************
+    ** Idempotent star DELETE for the signed-in user.
+    *******************************************************************************/
+   public static class Unstar extends DataAnalysisApi.ProfileSpec
+   {
+      /*******************************************************************************
+       ** Removal never targets another user's star.
+       *******************************************************************************/
+      public Unstar()
+      {
+         super("/saved/{id}/star", HttpMethod.DELETE, "Unstar a saved analysis",
+            "Remove the signed-in user's star on a visible saved analysis. Idempotent; uses standard saved delete permission and owner locks.", null, "Star");
+      }
+
+      /*******************************************************************************
+       ** Persist through core table CRUD.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (Map.of("starred", DataAnalysisRuntime.saved().star(id(input.getPathParam("id")), false)));
+      }
+   }
+
+   /*******************************************************************************
+    ** Actual backend aggregate SQL, captured only during this request.
+    *******************************************************************************/
+   public static class Sql extends DataAnalysisApi.ProfileSpec
+   {
+      /*******************************************************************************
+       ** The assistant gets a reading aid, never an alternative execution endpoint.
+       *******************************************************************************/
+      public Sql()
+      {
+         super("/tables/{table}/sql", HttpMethod.POST, "Read an analysis aggregate SQL statement",
+            "Execute a typed analysis as the viewer and capture the main RDBMS aggregate SQL from core QueryStat. Requires installed SQL Workbench and its access permission. Non-RDBMS backends report unavailable; SQL is for reading and record security remains enforced at runtime.", "SavedRequest", "Sql");
+      }
+
+      /*******************************************************************************
+       ** Requests pass through the same parser and analysis authorization.
+       *******************************************************************************/
+      @Override
+      protected Object handle(JsonInput input) throws Exception
+      {
+         return (SqlHandoff.execute(definition(input.getBody(), input.getPathParam("table")), DataAnalysisRuntime.service()));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/api/SavedSchemas.java

@@ -0,0 +1,99 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qqq.openapi.model.Schema;
+import com.kingsrook.qqq.openapi.model.Type;
+
+/*******************************************************************************
+ ** Versioned saved envelopes reuse all seven existing typed request/result schemas.
+ *******************************************************************************/
+public final class SavedSchemas
+{
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private SavedSchemas()
+   {
+   }
+
+   /*******************************************************************************
+    ** JSON Schema union supported by the standard OpenAPI serializer.
+    *******************************************************************************/
+   public static class RequestUnion extends Schema
+   {
+      /*******************************************************************************
+       ** All supported typed analysis requests, selected by the sibling kind.
+       *******************************************************************************/
+      public List<Schema> getAnyOf()
+      {
+         return (List.of("ColumnProfile", "TableProfile", "Pivot", "Compare", "Correlation", "Crosstab", "Shift").stream()
+            .map(name -> ref(name + "Request")).toList());
+      }
+   }
+
+   /*******************************************************************************
+    ** Every new endpoint's request and response is discoverable by clients.
+    *******************************************************************************/
+   public static Map<String, Schema> components()
+   {
+      Map<String, Schema> result = new LinkedHashMap<>();
+      Map<String, Schema> fields = new LinkedHashMap<>();
+      fields.put("kind", new Schema().withType(Type.STRING).withEnumValues(List.of("COLUMN_PROFILE", "TABLE_PROFILE", "PIVOT", "COMPARE", "CORRELATION", "CROSSTAB", "SHIFT")));
+      fields.put("tableName", new Schema().withType(Type.STRING).withDescription("Source QQQ table name; required for ad hoc export, supplied by the path for SQL."));
+      fields.put("request", new RequestUnion().withDescription("Typed request matching kind. Field names, filters and dimensions use the existing analysis request contracts."));
+      fields.put("format", new Schema().withType(Type.STRING).withEnumValues(List.of("csv", "xlsx")).withDescription("Required for export; ignored for SQL."));
+      result.put("DataAnalysisSavedRequestV1", new DataAnalysisSchemas.RequiredSchema(List.of("kind", "request")).withType(Type.OBJECT).withProperties(fields));
+      Map<String, Schema> response = new LinkedHashMap<>();
+      response.put("kind", fields.get("kind"));
+      response.put("warnings", new Schema().withType(Type.ARRAY).withItems(new Schema().withType(Type.STRING)));
+      new java.util.TreeMap<>(Map.of("columnProfile", "ColumnProfile", "tableProfile", "TableProfile", "pivot", "Pivot", "compare", "Compare",
+         "correlation", "Correlation", "crosstab", "Crosstab", "shift", "Shift")).forEach((key, value) -> response.put(key, ref(value).withNullable(true)));
+      result.put("DataAnalysisSavedResultV1", new Schema().withType(Type.OBJECT).withProperties(response));
+      Map<String, Schema> entry = new LinkedHashMap<>();
+      entry.put("id", new Schema().withType(Type.INTEGER));
+      for(String name : List.of("name", "kind", "tableName", "tableLabel", "owner", "updated"))
+      {
+         entry.put(name, new Schema().withType(Type.STRING));
+      }
+      entry.put("updated", new Schema().withType(Type.STRING).withFormat("date-time").withNullable(true));
+      entry.put("shared", new Schema().withType(Type.BOOLEAN));
+      entry.put("starred", new Schema().withType(Type.BOOLEAN));
+      result.put("DataAnalysisSavedEntryV1", new Schema().withType(Type.OBJECT).withProperties(entry));
+      result.put("DataAnalysisSavedListV1", new Schema().withType(Type.OBJECT).withProperties(new java.util.TreeMap<>(Map.of("analyses", new Schema().withType(Type.ARRAY).withItems(ref("SavedEntry"))))));
+      result.put("DataAnalysisStarV1", new Schema().withType(Type.OBJECT).withProperties(new java.util.TreeMap<>(Map.of("starred", new Schema().withType(Type.BOOLEAN)))));
+      result.put("DataAnalysisSqlV1", new Schema().withType(Type.OBJECT).withProperties(new java.util.TreeMap<>(Map.of("available", new Schema().withType(Type.BOOLEAN),
+         "sql", new Schema().withType(Type.STRING).withNullable(true), "note", new Schema().withType(Type.STRING)))));
+      result.put("DataAnalysisFileV1", new Schema().withType(Type.STRING).withFormat("binary"));
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Reuse the extension's stable schema prefix.
+    *******************************************************************************/
+   private static Schema ref(String name)
+   {
+      return (new Schema().withRef("#/components/schemas/DataAnalysis" + name + "V1"));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/api/WatchSchemas.java

@@ -0,0 +1,126 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.api;
+
+import java.io.Serializable;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qqq.middleware.javalin.schemabuilder.ToSchema;
+import com.kingsrook.qqq.openapi.model.Schema;
+import com.kingsrook.qqq.openapi.model.Type;
+
+/*******************************************************************************
+ ** Standalone watch preview contracts referencing the existing chart and drill.
+ *******************************************************************************/
+public class WatchSchemas
+{
+   /*******************************************************************************
+    ** Register every referenced version-one watch response component.
+    *******************************************************************************/
+   public static Map<String, Schema> components()
+   {
+      return (Map.of("DataAnalysisWatchPreviewV1", new DataAnalysisWatchPreviewV1().toSchema(),
+         "DataAnalysisWatchBucketV1", new DataAnalysisWatchBucketV1().toSchema(),
+         "DataAnalysisWatchVerdictV1", new DataAnalysisWatchVerdictV1().toSchema()));
+   }
+
+   /*******************************************************************************
+    ** One complete bucket; suppressed series never expose categories or drills.
+    *******************************************************************************/
+   public static class DataAnalysisWatchBucketV1 implements ToSchema
+   {
+      public Serializable start;
+      public Double value;
+      public List<String> categories;
+      public DataAnalysisSchemas.DataAnalysisDrillV1 drill;
+
+      /*******************************************************************************
+       ** Explicit nullable types and component references.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("start", new Schema().withType(Type.STRING).withDescription("Calendar date or hour-start instant in the user's time zone."));
+         properties.put("value", new Schema().withType(Type.NUMBER).withNullable(true));
+         properties.put("categories", new Schema().withType(Type.ARRAY).withItems(new Schema().withType(Type.STRING)));
+         properties.put("drill", new Schema().withRef("#/components/schemas/DataAnalysisDrillV1").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** Unevaluated means no state change; baseline bounds describe the annotation.
+    *******************************************************************************/
+   public static class DataAnalysisWatchVerdictV1 implements ToSchema
+   {
+      public Boolean evaluated;
+      public Boolean firing;
+      public Double value;
+      public Double baseline;
+      public Double baselineLow;
+      public Double baselineHigh;
+      public String message;
+      public DataAnalysisSchemas.DataAnalysisDrillV1 drill;
+
+      /*******************************************************************************
+       ** Carry numeric baseline bounds as well as the plain-English explanation.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("evaluated", new Schema().withType(Type.BOOLEAN).withDescription("False for insufficient history or privacy suppression; must not resolve an alert."));
+         properties.put("firing", new Schema().withType(Type.BOOLEAN));
+         for(String field : List.of("value", "baseline", "baselineLow", "baselineHigh"))
+         {
+            properties.put(field, new Schema().withType(Type.NUMBER).withNullable(true));
+         }
+         properties.put("message", new Schema().withType(Type.STRING));
+         properties.put("drill", new Schema().withRef("#/components/schemas/DataAnalysisDrillV1").withNullable(true));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+
+   /*******************************************************************************
+    ** Complete preview, using the same semantic chart as other analysis endpoints.
+    *******************************************************************************/
+   public static class DataAnalysisWatchPreviewV1 implements ToSchema
+   {
+      public List<DataAnalysisWatchBucketV1> series;
+      public DataAnalysisSchemas.DataAnalysisChartV1 chart;
+      public DataAnalysisWatchVerdictV1 verdict;
+
+      /*******************************************************************************
+       ** Stable references let clients vendor this fragment without middleware.
+       *******************************************************************************/
+      @Override
+      public Schema toSchema()
+      {
+         Map<String, Schema> properties = new LinkedHashMap<>();
+         properties.put("series", new Schema().withType(Type.ARRAY).withItems(new Schema().withRef("#/components/schemas/DataAnalysisWatchBucketV1")));
+         properties.put("chart", new Schema().withRef("#/components/schemas/DataAnalysisChartV1").withDescription("TIME_SERIES with baseline band annotations."));
+         properties.put("verdict", new Schema().withRef("#/components/schemas/DataAnalysisWatchVerdictV1"));
+         return (new Schema().withType(Type.OBJECT).withProperties(properties));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/app/DataAnalysisHome.java

@@ -20,12 +20,18 @@
 
 package com.kingsrook.qbits.dataanalysis.app;
 
-
 import java.time.Instant;
 import java.time.temporal.ChronoUnit;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
 import java.util.List;
+import java.util.Map;
+import java.util.Objects;
 import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.engine.DrillFilters;
 import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.saved.SavedAnalyses;
 import com.kingsrook.qqq.backend.core.actions.dashboard.widgets.AbstractWidgetRenderer;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionsHelper;
@@ -35,12 +41,13 @@ import com.kingsrook.qqq.backend.core.context.QContext;
 import com.kingsrook.qqq.backend.core.exceptions.QException;
 import com.kingsrook.qqq.backend.core.model.actions.tables.count.CountInput;
 import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
-import com.kingsrook.qqq.backend.core.model.actions.tables.query.QFilterCriteria;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QFilterOrderBy;
 import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
-import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryJoin;
 import com.kingsrook.qqq.backend.core.model.actions.widgets.RenderWidgetInput;
 import com.kingsrook.qqq.backend.core.model.actions.widgets.RenderWidgetOutput;
-import com.kingsrook.qqq.backend.core.model.dashboard.widgets.RawHTML;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.MultiStatisticsData;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.QWidgetData;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.TableData;
 import com.kingsrook.qqq.backend.core.model.dashboard.widgets.WidgetType;
 import com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference;
 import com.kingsrook.qqq.backend.core.model.metadata.dashboard.QWidgetMetaData;
@@ -51,35 +58,50 @@ import com.kingsrook.qqq.backend.core.model.metadata.permissions.PermissionLevel
 import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
 
-
 /*******************************************************************************
- ** Analyses app home: real counts under the current user's permissions and locks.
+ ** Standard QQQ statistics and narrow table widgets, all queried as the viewer.
  *******************************************************************************/
 public class DataAnalysisHome extends AbstractWidgetRenderer
 {
+   public static final String SETUP = "dataAnalysisSetup";
    public static final String HOME_WIDGET = "dataAnalysisHome";
-
-
+   public static final String STARRED = "dataAnalysisStarred";
+   public static final String FIRING = "dataAnalysisFiring";
+   public static final String RECENT = "dataAnalysisRecent";
 
    /*******************************************************************************
-    ** The home itself has no data privilege; each section checks its table READ.
+    ** The existing home name now supplies standard multi-statistics data.
     *******************************************************************************/
    public static QWidgetMetaData widget()
    {
-      return (new QWidgetMetaData().withName(HOME_WIDGET).withLabel("Overview").withType(WidgetType.HTML.getType())
-         .withCodeReference(new QCodeReference(DataAnalysisHome.class)).withGridColumns(12).withIsCard(false)
+      return (widget(HOME_WIDGET, "Analysis overview", WidgetType.MULTI_STATISTICS));
+   }
+
+   /*******************************************************************************
+    ** Full-width tables have three or four columns and honest empty states.
+    *******************************************************************************/
+   public static List<QWidgetMetaData> widgets()
+   {
+      return (List.of(widget(SETUP, "Setup", WidgetType.TABLE), widget(), widget(STARRED, "Starred analyses", WidgetType.TABLE), widget(FIRING, "Firing watches", WidgetType.TABLE), widget(RECENT, "My recent runs", WidgetType.TABLE)));
+   }
+
+   /*******************************************************************************
+    ** The widget itself grants no privilege; each data section checks table READ.
+    *******************************************************************************/
+   private static QWidgetMetaData widget(String name, String label, WidgetType type)
+   {
+      return (new QWidgetMetaData().withName(name).withLabel(label).withType(type.getType()).withGridColumns(12).withIsCard(true)
+         .withShowReloadButton(true).withCodeReference(new QCodeReference(DataAnalysisHome.class))
          .withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED)));
    }
 
-
-
    /*******************************************************************************
-    ** Only main tables appear in navigation; schedules and stars are record children.
+    ** Main tables remain navigation; schedules and stars remain child lists.
     *******************************************************************************/
    public static QAppMetaData app(DataAnalysisQBitConfig config, List<QTableMetaData> tables)
    {
       QAppMetaData app = new QAppMetaData().withName(config.getAppName()).withLabel(config.getAppLabel())
-         .withIcon(new QIcon("insights")).withWidgets(List.of(HOME_WIDGET))
+         .withIcon(new QIcon("insights")).withWidgets(widgets().stream().map(QWidgetMetaData::getName).toList())
          .withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED))
          .withSection(new QAppSection().withName("analyses").withLabel("Analyses").withIcon(new QIcon("insights")).withTables(DataAnalysisTables.NAV_TABLES));
       app.setParentAppName(config.getParentAppName());
@@ -93,141 +115,206 @@ public class DataAnalysisHome extends AbstractWidgetRenderer
 
 
    /*******************************************************************************
-    ** Standard QQQ widget renderer entry point.
+    ** Dispatch data by registered metadata name, never by an arbitrary table input.
     *******************************************************************************/
    @Override
    public RenderWidgetOutput render(RenderWidgetInput input) throws QException
    {
-      return (new RenderWidgetOutput(new RawHTML(null, render(Instant.now()))));
+      return (new RenderWidgetOutput(render(input.getWidgetMetaData().getName(), Instant.now())));
    }
 
-
+   /*******************************************************************************
+    ** Counts and table rows share core-enforced permissions and record locks.
+    *******************************************************************************/
+   public static QWidgetData render(String name, Instant now) throws QException
+   {
+      if(SETUP.equals(name))
+      {
+         return (setup());
+      }
+      if(HOME_WIDGET.equals(name))
+      {
+         return (statistics(now));
+      }
+      if(STARRED.equals(name))
+      {
+         TableData data = table("Starred analyses", DataAnalysisTables.SAVED, "No starred analyses yet. Star a saved analysis to see it here.", "Name", "Table", "Kind");
+         if(canRead(DataAnalysisTables.SAVED))
+         {
+            for(var entry : DataAnalysisRuntime.saved().list().stream().filter(SavedAnalyses.Entry::starred).toList())
+            {
+               data.getRows().add(values(link(DataAnalysisTables.SAVED, entry.id(), entry.name()), entry.tableLabel(), entry.kind()));
+            }
+         }
+         return (data);
+      }
+      String source = FIRING.equals(name) ? DataAnalysisTables.WATCH : DataAnalysisTables.RUN;
+      TableData data = FIRING.equals(name)
+         ? table("Firing watches", source, "No firing watches.", "Watch", "Table", "Last evaluated", "Message")
+         : table("My recent runs", source, "No analysis runs yet.", "Analysis", "Table", "Status", "Started");
+      if(!canRead(source))
+      {
+         return (data);
+      }
+      QQueryFilter filter = FIRING.equals(name) ? equal("state", "FIRING")
+         : equal("user_id", SavedAnalyses.user()).withCriteria("started_at", QCriteriaOperator.LESS_THAN_OR_EQUALS, now);
+      filter.withOrderBy(new QFilterOrderBy(FIRING.equals(name) ? "last_evaluated_at" : "started_at", false)).withLimit(10);
+      for(var row : SavedAnalyses.query(source, filter))
+      {
+         String tableName = row.getValueString("table_name");
+         var metadata = QContext.getQInstance().getTable(tableName);
+         String label = metadata == null ? Objects.toString(tableName, "Saved analysis") : metadata.getLabel();
+         data.getRows().add(FIRING.equals(name)
+            ? values(link(source, row.getValue("id"), row.getValueString("detector")), label, row.getValue("last_evaluated_at"), row.getValue("last_message"))
+            : values(link(source, row.getValue("id"), row.getValueString("operation")), label, row.getValue("status"), row.getValue("started_at")));
+      }
+      return (data);
+   }
 
    /*******************************************************************************
-    ** Counts are evaluated at one instant; no system session or synthetic numbers.
+    ** The Setup card: each settings or content table, its state and the next step.
     *******************************************************************************/
-   public static String render(Instant now) throws QException
+   public static TableData setup() throws QException
    {
-      StringBuilder html = new StringBuilder("<div class=\"data-analysis-home\" style=\"display:grid;gap:1rem;min-width:0;overflow-wrap:anywhere\">");
-      String userId = QContext.getQSession() == null || QContext.getQSession().getUser() == null ? null : QContext.getQSession().getUser().getIdReference();
-      html.append("<section><h2>Saved analyses</h2>");
-      if(userId == null)
+      TableData data = new TableData("Setup", List.of(new TableData.Column("html", "Part", "c0", null, "left"), new TableData.Column("text", "State", "c1", null, "left"),
+         new TableData.Column("text", "What it means", "c2", null, "left"), new TableData.Column("text", "Next step", "c3", null, "left")), new ArrayList<>())
+         .withNoRowsFoundHTML("Nothing to set up.").withRowsPerPage(10);
+      for(DataAnalysisSetupStatus.Item item : DataAnalysisSetupStatus.load())
       {
-         html.append("<p>Sign in to see your saved analyses and stars.</p>");
-      }
-      else if(canRead(DataAnalysisTables.SAVED))
-      {
-         int mine = count(DataAnalysisTables.SAVED, equal("owner_user_id", userId));
-         int shared = count(DataAnalysisTables.SAVED, equal("shared", true));
-         html.append("<p>Mine: ").append(mine).append(" · Shared (visible to you): ").append(shared).append("</p>");
-         if(canRead(DataAnalysisTables.SAVED_STAR))
+         String path = QContext.getQInstance().getTablePath(item.tableName());
+         String part = "<a href=\"" + escape(path) + "\">" + escape(item.label()) + "</a>";
+         String state = switch(item.state())
          {
-            CountInput stars = new CountInput(DataAnalysisTables.SAVED).withIncludeDistinctCount(true)
-               .withQueryJoin(new QueryJoin(QContext.getQInstance().getJoin(DataAnalysisTables.joinName(DataAnalysisTables.SAVED_STAR))).withType(QueryJoin.Type.INNER))
-               .withFilter(equal(DataAnalysisTables.SAVED_STAR + ".user_id", userId));
-            stars.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
-            int starred = new CountAction().execute(stars).getDistinctCount();
-            html.append("<p>Starred by me: ").append(starred).append("</p>");
-         }
-         if(mine == 0 && shared == 0)
-         {
-            html.append("<p>No saved analyses yet. Saving analyses from the Analyze action is planned for a later release.</p>");
-         }
-         html.append("<p>The Analyze action will be available in a later UI release.</p>");
-         link(html, DataAnalysisTables.SAVED);
+            case OK -> "Set up";
+            case DEFAULT -> "Using defaults";
+            case OPTIONAL -> "Optional";
+            case UNAVAILABLE -> "Unavailable";
+            case UNKNOWN -> "Needs attention";
+         };
+         data.getRows().add(values(part, state, item.detail(), item.nextStep()));
       }
-      else
+      return (data);
+   }
+
+   /*******************************************************************************
+    ** One standard group per subject, with real counts or an unavailable explanation.
+    *******************************************************************************/
+   public static MultiStatisticsData statistics(Instant now) throws QException
+   {
+      List<MultiStatisticsData.StatisticsGroupData> groups = new ArrayList<>();
+      var saved = group("Saved analyses", DataAnalysisTables.SAVED);
+      if(canRead(DataAnalysisTables.SAVED))
       {
-         html.append("<p>Saved analyses are unavailable: you need data_analysis.saved.read.</p>");
+         List<SavedAnalyses.Entry> entries = DataAnalysisRuntime.saved().list();
+         String user = SavedAnalyses.user();
+         saved.withStatisticList(List.of(stat("Mine", (int) entries.stream().filter(e -> e.owner().equals(user)).count(), DataAnalysisTables.SAVED),
+            stat("Shared", (int) entries.stream().filter(e -> Boolean.TRUE.equals(e.shared())).count(), DataAnalysisTables.SAVED),
+            stat("Starred", (int) entries.stream().filter(SavedAnalyses.Entry::starred).count(), DataAnalysisTables.SAVED)));
       }
-      html.append("</section><section><h2>Watches</h2>");
+      groups.add(saved);
+      var watches = group("Watches", DataAnalysisTables.WATCH);
       if(canRead(DataAnalysisTables.WATCH))
       {
-         int enabled = count(DataAnalysisTables.WATCH, equal("enabled", true));
-         int firing = count(DataAnalysisTables.WATCH, equal("state", "FIRING"));
-         html.append("<p>Enabled: ").append(enabled).append(" · Firing: ").append(firing).append("</p>");
-         if(enabled == 0 && firing == 0)
-         {
-            html.append("<p>No active watches: watch evaluation is planned for phase e.</p>");
-         }
-         link(html, DataAnalysisTables.WATCH);
+         watches.withStatisticList(List.of(stat("Enabled", count(DataAnalysisTables.WATCH, equal("enabled", true)), DataAnalysisTables.WATCH),
+            stat("Firing", count(DataAnalysisTables.WATCH, equal("state", "FIRING")), DataAnalysisTables.WATCH)));
       }
-      else
-      {
-         html.append("<p>Watches are unavailable: you need data_analysis.watch.read.</p>");
-      }
-      html.append("</section><section><h2>Runs in the last 7 days</h2>");
+      groups.add(watches);
+      var runs = group("My runs", DataAnalysisTables.RUN);
       if(canRead(DataAnalysisTables.RUN))
       {
-         int complete = count(DataAnalysisTables.RUN, recentRuns("COMPLETE", now));
-         int failed = count(DataAnalysisTables.RUN, recentRuns("FAILED", now));
-         html.append("<p>Complete: ").append(complete).append(" · Failed: ").append(failed).append("</p>");
-         if(complete == 0 && failed == 0)
-         {
-            html.append("<p>No completed or failed runs in this period.</p>");
-         }
-         link(html, DataAnalysisTables.RUN);
+         runs.withStatisticList(List.of(stat("Last 7 days", count(DataAnalysisTables.RUN, equal("user_id", SavedAnalyses.user())
+            .withCriteria("started_at", QCriteriaOperator.GREATER_THAN_OR_EQUALS, now.minus(7, ChronoUnit.DAYS))
+            .withCriteria("started_at", QCriteriaOperator.LESS_THAN_OR_EQUALS, now)), DataAnalysisTables.RUN)));
       }
-      else
-      {
-         html.append("<p>Run history is unavailable: you need data_analysis.run.read.</p>");
-      }
-      return (html.append("</section></div>").toString());
+      groups.add(runs);
+      return (new MultiStatisticsData("Analyses", groups));
    }
 
-
-
    /*******************************************************************************
-    ** Explicit permission checks avoid presenting denied sections as empty data.
+    ** Empty/denied data are different messages, not synthetic zeroes.
     *******************************************************************************/
-   private static boolean canRead(String table)
+   private static MultiStatisticsData.StatisticsGroupData group(String label, String table)
    {
-      return (PermissionsHelper.hasTablePermission(new CountInput(table), table, TablePermissionSubType.READ));
+      return (new MultiStatisticsData.StatisticsGroupData().withHeader(label).withStatisticList(List.of())
+         .withSubheader(canRead(table) ? "Visible to you" : "Unavailable: READ permission required."));
    }
 
-
+   /*******************************************************************************
+    ** Link every count to its actual table path.
+    *******************************************************************************/
+   private static MultiStatisticsData.StatisticsGroupData.Statistic stat(String label, int count, String table) throws QException
+   {
+      return (new MultiStatisticsData.StatisticsGroupData.Statistic(label, count, QContext.getQInstance().getTablePath(table)));
+   }
 
    /*******************************************************************************
-    ** Equality filter for one count.
+    ** Standard table cells support escaped record links; other columns are plain text.
+    *******************************************************************************/
+   private static TableData table(String label, String table, String empty, String... headers) throws QException
+   {
+      List<TableData.Column> columns = new ArrayList<>();
+      for(int i = 0; i < headers.length; i++)
+      {
+         columns.add(new TableData.Column(i == 0 ? "html" : "text", headers[i], "c" + i, null, "left"));
+      }
+      return (new TableData(label, columns, new ArrayList<>()).withNoRowsFoundHTML(canRead(table) ? empty : "Unavailable: READ permission required.")
+         .withLinkText("View all").withLinkURL(QContext.getQInstance().getTablePath(table)).withRowsPerPage(10));
+   }
+
+   /*******************************************************************************
+    ** Preserve real values while avoiding null map entries and executable HTML.
+    *******************************************************************************/
+   private static Map<String, Object> values(Object... values)
+   {
+      Map<String, Object> row = new LinkedHashMap<>();
+      for(int i = 0; i < values.length; i++)
+      {
+         row.put("c" + i, Objects.toString(values[i], ""));
+      }
+      return (row);
+   }
+
+   /*******************************************************************************
+    ** Standard table HTML cell contains only an escaped link and escaped text.
+    *******************************************************************************/
+   private static String link(String table, Object id, String label) throws QException
+   {
+      return ("<a href=\"" + escape(QContext.getQInstance().getTablePath(table) + "/" + id) + "\">" + escape(label) + "</a>");
+   }
+
+   /*******************************************************************************
+    ** Metadata labels and stored names are never trusted markup.
+    *******************************************************************************/
+   private static String escape(String value)
+   {
+      return (Objects.toString(value, "").replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;").replace("\"", "&quot;").replace("'", "&#39;"));
+   }
+
+   /*******************************************************************************
+    ** Explicit checks distinguish denied sections from empty sections.
+    *******************************************************************************/
+   static boolean canRead(String table)
+   {
+      CountInput input = new CountInput(table);
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      return (PermissionsHelper.hasTablePermission(input, table, TablePermissionSubType.READ));
+   }
+
+   /*******************************************************************************
+    ** Simple filter; record security is applied exclusively by core.
     *******************************************************************************/
    private static QQueryFilter equal(String field, java.io.Serializable value)
    {
-      return (new QQueryFilter().withCriteria(new QFilterCriteria(field, QCriteriaOperator.EQUALS, value)));
+      return (DrillFilters.condition(field, QCriteriaOperator.EQUALS, value));
    }
 
-
-
    /*******************************************************************************
-    ** Runs started within the inclusive seven-day interval, excluding future rows.
+    ** Counts use the viewer's session and explicitly enforce permissions.
     *******************************************************************************/
-   private static QQueryFilter recentRuns(String status, Instant now)
-   {
-      return (equal("status", status)
-         .withCriteria(new QFilterCriteria("started_at", QCriteriaOperator.GREATER_THAN_OR_EQUALS, now.minus(7, ChronoUnit.DAYS)))
-         .withCriteria(new QFilterCriteria("started_at", QCriteriaOperator.LESS_THAN_OR_EQUALS, now)));
-   }
-
-
-
-   /*******************************************************************************
-    ** CountAction enforces table permission and record locks using QContext's session.
-    *******************************************************************************/
-   private static int count(String table, QQueryFilter filter) throws QException
+   static int count(String table, QQueryFilter filter) throws QException
    {
       CountInput input = new CountInput(table).withFilter(filter);
       input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
       return (new CountAction().execute(input).getCount());
    }
-
-
-
-   /*******************************************************************************
-    ** Use the instance's actual app path, including custom names and parent apps.
-    *******************************************************************************/
-   private static void link(StringBuilder html, String table) throws QException
-   {
-      String path = QContext.getQInstance().getTablePath(table);
-      html.append("<a href=\"").append(path.replace("&", "&amp;").replace("\"", "&quot;").replace("<", "&lt;").replace(">", "&gt;"))
-         .append("\">View all</a>");
-   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/app/DataAnalysisSetupStatus.java

@@ -0,0 +1,173 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.app;
+
+
+import java.util.ArrayList;
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.processes.TableConfigDefaultsProcess;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+
+/*******************************************************************************
+ ** The Setup card on the Analyses home: each configuration or content table,
+ ** whether it is set up, and the next step. Reads settings through the same
+ ** resolver the analysis runtime uses (code defaults, then rows), so the card
+ ** never reports something the runtime would not do. Counts run as the viewer.
+ *******************************************************************************/
+public final class DataAnalysisSetupStatus
+{
+   /*******************************************************************************
+    ** OK: set up. DEFAULT: working on built-in defaults (nothing required).
+    ** OPTIONAL: a feature that stays off until someone uses it. UNAVAILABLE: the
+    ** viewer cannot read the table.
+    *******************************************************************************/
+   public enum State
+   {
+      OK, DEFAULT, OPTIONAL, UNAVAILABLE, UNKNOWN
+   }
+
+
+
+   /*******************************************************************************
+    ** One line of the card.
+    *******************************************************************************/
+   public record Item(String label, String tableName, State state, String detail, String nextStep)
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private DataAnalysisSetupStatus()
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** The card's lines, in the order a person would set things up.
+    *******************************************************************************/
+   public static List<Item> load() throws QException
+   {
+      DataAnalysisQBitConfig config = DataAnalysisRuntime.service().getConfigResolver().getDefaults();
+      List<Item>             items  = new ArrayList<>();
+
+      ///////////////////////
+      // analysis settings //
+      ///////////////////////
+      List<String> analyzable = TableConfigDefaultsProcess.analyzableTables(QContext.getQInstance(), config);
+      if(!DataAnalysisHome.canRead(DataAnalysisTables.TABLE_CONFIG))
+      {
+         items.add(new Item("Analysis settings", DataAnalysisTables.TABLE_CONFIG, State.UNAVAILABLE, "Unavailable: READ permission required.", null));
+      }
+      else
+      {
+         int rows = DataAnalysisHome.count(DataAnalysisTables.TABLE_CONFIG, new QQueryFilter());
+         String defaults = "max rows " + config.getDefaultMaxRows() + ", sample " + config.getDefaultSampleRows() + " above " + config.getDefaultSampleThresholdRows()
+            + ", smallest group " + config.getDefaultMinGroupSize() + ", results reused " + config.getDefaultCacheTtlMinutes() + " min";
+         if(rows == 0)
+         {
+            items.add(new Item("Analysis settings", DataAnalysisTables.TABLE_CONFIG, State.DEFAULT,
+               "All " + analyzable.size() + " analyzable tables are on, with the defaults (" + defaults + ").",
+               "Run Create rows for analyzable tables to see and edit them, or add a row to change one table."));
+         }
+         else
+         {
+            items.add(new Item("Analysis settings", DataAnalysisTables.TABLE_CONFIG, rows >= analyzable.size() ? State.OK : State.DEFAULT,
+               rows + " settings row" + (rows == 1 ? "" : "s") + " for " + analyzable.size() + " analyzable tables; tables without a row use the defaults (" + defaults + ").",
+               rows >= analyzable.size() ? null : "Run Create rows for analyzable tables to add rows for the rest."));
+         }
+      }
+
+      /////////////////////////////////////////////////////////////////////
+      // result cache: the resolved value, exactly what caching will use //
+      /////////////////////////////////////////////////////////////////////
+      items.add(cacheItem(analyzable, config));
+
+      ///////////////////////////////////////////////////
+      // saved analyses, watches, schedules: optional  //
+      ///////////////////////////////////////////////////
+      items.add(optional("Saved analyses", DataAnalysisTables.SAVED, "No saved analyses yet.", "Save an analysis from the Analyze screen, then star or share it."));
+      String scheduler = config.getSchedulerName() == null ? " No scheduler is configured, so watches only run with Evaluate now." : "";
+      items.add(optional("Watches", DataAnalysisTables.WATCH, "No watches yet." + scheduler, "Add a watch on a saved analysis to be alerted to spikes, drops and new categories."));
+      String schedules = config.getSchedulerName() == null ? " No scheduler is configured, so schedules do not run." : "";
+      items.add(optional("Schedules", DataAnalysisTables.SCHEDULE, "No schedules yet." + schedules, "Add a schedule on a saved analysis to send it by email."));
+      return (items);
+   }
+
+
+
+   /*******************************************************************************
+    ** One optional feature: set up once it has rows.
+    *******************************************************************************/
+   private static Item optional(String label, String table, String emptyDetail, String nextStep) throws QException
+   {
+      if(!DataAnalysisHome.canRead(table))
+      {
+         return (new Item(label, table, State.UNAVAILABLE, "Unavailable: READ permission required.", null));
+      }
+      int rows = DataAnalysisHome.count(table, new QQueryFilter());
+      return (rows == 0 ? new Item(label, table, State.OPTIONAL, emptyDetail, nextStep) : new Item(label, table, State.OK, rows + " in use.", null));
+   }
+
+
+
+   /*******************************************************************************
+    ** The Result cache line, from the minutes every analyzable table actually
+    ** resolves to (settings row, then table defaults, then the global default).
+    *******************************************************************************/
+   private static Item cacheItem(List<String> analyzable, DataAnalysisQBitConfig config)
+   {
+      java.util.TreeMap<Integer, Integer> tablesPerMinutes = new java.util.TreeMap<>();
+      for(String table : analyzable)
+      {
+         try
+         {
+            tablesPerMinutes.merge(DataAnalysisRuntime.service().getConfigResolver().resolve(table).getCacheTtlMinutes(), 1, Integer::sum);
+         }
+         catch(QException e)
+         {
+            return (new Item("Result cache", DataAnalysisTables.RUN, State.UNKNOWN, "The cache settings of " + table + " could not be read: " + e.getMessage(),
+               "Fix the settings row for that table (a negative limit is invalid)."));
+         }
+      }
+      if(tablesPerMinutes.isEmpty() || (tablesPerMinutes.size() == 1 && tablesPerMinutes.firstKey() == 0))
+      {
+         return (new Item("Result cache", DataAnalysisTables.RUN, State.DEFAULT, "Off: every exact run computes fresh.", "Set cache minutes on Analysis Settings to reuse results."));
+      }
+      if(tablesPerMinutes.size() == 1)
+      {
+         return (new Item("Result cache", DataAnalysisTables.RUN, State.OK, "Exact results are reused for " + tablesPerMinutes.firstKey() + " minutes.", null));
+      }
+      String parts = tablesPerMinutes.entrySet().stream().map(e -> e.getValue() + (e.getValue() == 1 ? " table" : " tables") + (e.getKey() == 0 ? ": off" : ": " + e.getKey() + " min"))
+         .collect(java.util.stream.Collectors.joining(", "));
+      return (new Item("Result cache", DataAnalysisTables.RUN, State.OK, "Exact results are reused per table (default " + config.getDefaultCacheTtlMinutes() + " min): " + parts + ".", null));
+   }
+
+}

src/main/java/com/kingsrook/qbits/dataanalysis/app/SavedAnalysisWidget.java

@@ -0,0 +1,157 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.app;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.result.Chart;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.saved.AnalysisExport;
+import com.kingsrook.qbits.dataanalysis.watch.WatchRecords;
+import com.kingsrook.qqq.backend.core.actions.dashboard.widgets.AbstractWidgetRenderer;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.widgets.RenderWidgetInput;
+import com.kingsrook.qqq.backend.core.model.actions.widgets.RenderWidgetOutput;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.ChartData;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.ChartSubheaderData;
+import com.kingsrook.qqq.backend.core.model.dashboard.widgets.WidgetType;
+import com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference;
+import com.kingsrook.qqq.backend.core.model.metadata.dashboard.QWidgetMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.PermissionLevel;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
+
+/*******************************************************************************
+ ** Saved analysis rendered through Next's existing standard chart widget.
+ *******************************************************************************/
+public class SavedAnalysisWidget extends AbstractWidgetRenderer
+{
+   public static final String NAME = "DATA_ANALYSIS_SAVED";
+
+   /*******************************************************************************
+    ** Hosts clone this metadata and set savedId to place an analysis on a dashboard.
+    *******************************************************************************/
+   public static QWidgetMetaData widget()
+   {
+      return (new QWidgetMetaData().withName(NAME).withLabel("Saved analysis").withType(WidgetType.BAR_CHART.getType())
+         .withGridColumns(12).withIsCard(true).withCodeReference(new QCodeReference(SavedAnalysisWidget.class))
+         .withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED)));
+   }
+
+   /*******************************************************************************
+    ** Values come from a fresh viewer run; no stored owner result is ever reused.
+    *******************************************************************************/
+   @Override
+   public RenderWidgetOutput render(RenderWidgetInput input) throws QException
+   {
+      var defaults = ((QWidgetMetaData) input.getWidgetMetaData()).getDefaultValues();
+      Object value = defaults == null ? null : defaults.get("savedId");
+      if(value == null)
+      {
+         return (new RenderWidgetOutput(new ChartData("Saved analysis", "Choose a saved analysis for this widget.", "Analysis", List.of(), List.of())));
+      }
+      Integer id;
+      try
+      {
+         id = Integer.valueOf(value.toString());
+      }
+      catch(NumberFormatException e)
+      {
+         throw new QBadRequestException("savedId must be an integer.");
+      }
+      var saved = WatchRecords.get(DataAnalysisTables.SAVED, id);
+      var result = DataAnalysisRuntime.saved().run(id);
+      List<Metric> metrics = AnalysisExport.headlines(result);
+      Chart chart = null;
+      if(result.columnProfile() != null)
+      {
+         chart = result.columnProfile().getChart();
+      }
+      else if(result.tableProfile() != null)
+      {
+         chart = result.tableProfile().getHeatmap();
+      }
+      else if(result.correlation() != null)
+      {
+         chart = result.correlation().getChart();
+      }
+      else if(result.shift() != null)
+      {
+         chart = result.shift().getChart();
+      }
+      else if(result.compare() != null && !result.compare().getFields().isEmpty())
+      {
+         chart = result.compare().getFields().getFirst().getChart();
+      }
+      String description = metrics.stream().filter(Objects::nonNull).map(m -> m.getLabel() + ": " + AnalysisExport.value(m))
+         .collect(java.util.stream.Collectors.joining("; "));
+      if(!result.warnings().isEmpty())
+      {
+         description += " " + String.join("; ", result.warnings());
+      }
+      ChartData data = new ChartData().withTitle(saved.getValueString("name")).withDescription(description).withHeight(280);
+      String path = QContext.getQInstance().getTablePath(DataAnalysisTables.SAVED) + "/" + id;
+      Number mainNumber = metrics.stream().filter(m -> !Boolean.TRUE.equals(m.getSuppressed()) && m.getValue() instanceof Number)
+         .map(m -> (Number) m.getValue()).findFirst().orElse(null);
+      data.withChartSubheaderData(new ChartSubheaderData().withMainNumber(mainNumber).withMainNumberUrl(path));
+      List<String> labels = new ArrayList<>();
+      List<ChartData.Data.Dataset> datasets = new ArrayList<>();
+      if(chart != null && !chart.getSeries().isEmpty())
+      {
+         chart.getSeries().getFirst().getPoints().forEach(p -> labels.add(Objects.toString(p.getLabel(), Objects.toString(p.getX(), ""))));
+         for(var series : chart.getSeries())
+         {
+            datasets.add(new ChartData.Data.Dataset().withLabel(series.getName())
+               .withData(series.getPoints().stream().map(p -> (Number) p.getY()).toList()));
+         }
+      }
+      else if(result.pivot() != null)
+      {
+         List<Number> numbers = new ArrayList<>();
+         for(var cell : result.pivot().getCells())
+         {
+            labels.add(java.util.stream.Stream.concat(result.pivot().getRowHeaders().get(cell.getRowIndex()).stream(),
+               result.pivot().getColumnHeaders().get(cell.getColumnIndex()).stream()).map(p -> p.getLabel()).collect(java.util.stream.Collectors.joining(" / ")));
+            Metric metric = cell.getValues().getFirst();
+            numbers.add(!Boolean.TRUE.equals(metric.getSuppressed()) && metric.getValue() instanceof Number n ? n : null);
+         }
+         datasets.add(new ChartData.Data.Dataset().withLabel(result.pivot().getMeasures().getFirst().getLabel()).withData(numbers));
+      }
+      else if(result.crosstab() != null)
+      {
+         List<Number> numbers = new ArrayList<>();
+         for(var cell : result.crosstab().getCells())
+         {
+            labels.add(result.crosstab().getRows().get(cell.getRowIndex()).getLabel() + " / " + result.crosstab().getColumns().get(cell.getColumnIndex()).getLabel());
+            Metric metric = cell.getCount();
+            numbers.add(!Boolean.TRUE.equals(metric.getSuppressed()) && metric.getValue() instanceof Number n ? n : null);
+         }
+         datasets.add(new ChartData.Data.Dataset().withLabel("Count").withData(numbers));
+      }
+      data.withChartData(new ChartData.Data().withLabels(labels).withUrls(labels.stream().map(label -> path).toList()).withDatasets(datasets));
+      data.withFooterHTML("<a href=\"" + path.replace("&", "&amp;").replace("\"", "&quot;") + "\">View saved analysis</a>");
+      return (new RenderWidgetOutput(data));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/AnalysisBackend.java

@@ -38,16 +38,33 @@ public interface AnalysisBackend
     *******************************************************************************/
    enum DateUnit
    {
-      DAY, WEEK, MONTH, YEAR, DAY_OF_WEEK, HOUR_OF_DAY
+      DAY, WEEK, MONTH, QUARTER, YEAR, HOUR, DAY_OF_WEEK, HOUR_OF_DAY
    }
 
 
 
    /*******************************************************************************
-    ** Actual row coverage and deterministic selected population.
+    ** Computation scope, observed coverage and optional native sampling percentage.
     *******************************************************************************/
-   record Scope(QQueryFilter filter, long total, long rowsScanned, boolean truncated, boolean estimate)
+   record Scope(QQueryFilter filter, long total, long rowsScanned, boolean truncated, boolean estimate, BigDecimal samplePercent)
    {
+      /*******************************************************************************
+       ** Exact and prefix scopes have no random sampling percentage.
+       *******************************************************************************/
+      public Scope(QQueryFilter filter, long total, long rowsScanned, boolean truncated, boolean estimate)
+      {
+         this(filter, total, rowsScanned, truncated, estimate, null);
+      }
+
+      /*******************************************************************************
+       ** Explain whether counts extrapolate a random sample or describe a prefix.
+       *******************************************************************************/
+      public String warning()
+      {
+         return (samplePercent == null ? "Estimate from the first " + rowsScanned + " rows by id"
+            : "Estimate from a random sample of about " + rowsScanned + " rows (" + samplePercent.stripTrailingZeros().toPlainString()
+               + "%). Counts are scaled to the full " + total + " rows; run exact for exact numbers.");
+      }
    }
 
 
@@ -55,8 +72,16 @@ public interface AnalysisBackend
    /*******************************************************************************
     ** Blank includes null and whitespace; distinct excludes null.
     *******************************************************************************/
-   record FieldCounts(long nonNull, long nulls, long blanks, long distinct, QQueryFilter blankFilter, QQueryFilter distinctFilter)
+   record FieldCounts(long nonNull, long nulls, long blanks, long distinct, QQueryFilter blankFilter, QQueryFilter distinctFilter, BigDecimal uniqueness, BigDecimal completeness, boolean constant)
    {
+      /*******************************************************************************
+       ** Exact and prefix counters use their own population for ratios.
+       *******************************************************************************/
+      public FieldCounts(long nonNull, long nulls, long blanks, long distinct, QQueryFilter blankFilter, QQueryFilter distinctFilter)
+      {
+         this(nonNull, nulls, blanks, distinct, blankFilter, distinctFilter, ProfileSupport.share(distinct, nonNull),
+            ProfileSupport.share(nonNull + nulls - blanks, nonNull + nulls), distinct == 1);
+      }
    }
 
 
@@ -64,8 +89,15 @@ public interface AnalysisBackend
    /*******************************************************************************
     ** Group and exact predicate producing its members.
     *******************************************************************************/
-   record GroupCount(Serializable value, String label, long count, QQueryFilter condition)
+   record GroupCount(Serializable value, String label, long count, QQueryFilter condition, BigDecimal share)
    {
+      /*******************************************************************************
+       ** Ordinary groups derive their share from the profiler population.
+       *******************************************************************************/
+      public GroupCount(Serializable value, String label, long count, QQueryFilter condition)
+      {
+         this(value, label, count, condition, null);
+      }
    }
 
 
@@ -89,12 +121,21 @@ public interface AnalysisBackend
 
 
    /*******************************************************************************
-    ** Exact filtered count.
+    ** Actual inspected non-null values, independent of estimated population counts.
+    *******************************************************************************/
+   record PatternSummary(List<GroupCount> groups, long values, boolean truncated)
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** Filtered count; a native estimate scales conditional counts to its population.
     *******************************************************************************/
    long count(String table, QQueryFilter filter) throws QException;
 
    /*******************************************************************************
-    ** Select the bounded population used consistently by all operations.
+    ** Configure a request-local exact, prefix or native sampling scope.
     *******************************************************************************/
    Scope scope(String table, QQueryFilter filter, boolean exact) throws QException;
 
@@ -136,7 +177,7 @@ public interface AnalysisBackend
    /*******************************************************************************
     ** Top shapes over a bounded primary-key prefix.
     *******************************************************************************/
-   List<GroupCount> patterns(String table, QQueryFilter filter, String field, int sampleRows) throws QException;
+   PatternSummary patterns(String table, QQueryFilter filter, String field, int sampleRows) throws QException;
 
    /*******************************************************************************
     ** Top groups with count greater than one.

src/main/java/com/kingsrook/qbits/dataanalysis/engine/AnalysisDrillGuard.java

@@ -0,0 +1,168 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.result.CandidateKey;
+import com.kingsrook.qbits.dataanalysis.result.Chart;
+import com.kingsrook.qbits.dataanalysis.result.ColumnProfile;
+import com.kingsrook.qbits.dataanalysis.result.DateProfile;
+import com.kingsrook.qbits.dataanalysis.result.DistinctValuesPage;
+import com.kingsrook.qbits.dataanalysis.result.Drill;
+import com.kingsrook.qbits.dataanalysis.result.DuplicatesResult;
+import com.kingsrook.qbits.dataanalysis.result.FieldSummary;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.NumericProfile;
+import com.kingsrook.qbits.dataanalysis.result.Point;
+import com.kingsrook.qbits.dataanalysis.result.Series;
+import com.kingsrook.qbits.dataanalysis.result.TableProfile;
+import com.kingsrook.qbits.dataanalysis.result.TextProfile;
+import com.kingsrook.qbits.dataanalysis.result.ValueCount;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
+
+/*******************************************************************************
+ ** Final defense for profile-generated drills, including representative primary
+ ** keys and prefix bounds. User-authored predicates remain intact; unsafe generated
+ ** drills are disabled rather than broadened by removing their conditions.
+ *******************************************************************************/
+public class AnalysisDrillGuard
+{
+   private final Set<String> fields;
+   private final String original;
+
+   /*******************************************************************************
+    ** Resolve FULL fields once per completed result.
+    *******************************************************************************/
+   public AnalysisDrillGuard(Set<String> fields, QQueryFilter original)
+   {
+      this.fields = fields;
+      this.original = JsonUtils.toJson(DrillFilters.copy(original));
+   }
+
+   /*******************************************************************************
+    ** Visit only typed result containers, never the caller's query.
+    *******************************************************************************/
+   public void apply(Object value)
+   {
+      if(value instanceof Iterable<?> list)
+      {
+         list.forEach(this::apply);
+      }
+      else if(value instanceof Metric metric)
+      {
+         metric.withDrill(permitted(metric.getDrill()));
+      }
+      else if(value instanceof ValueCount count)
+      {
+         count.withDrill(permitted(count.getDrill()));
+      }
+      else if(value instanceof Point point)
+      {
+         point.withDrill(permitted(point.getDrill()));
+      }
+      else if(value instanceof CandidateKey key)
+      {
+         key.withDrill(permitted(key.getDrill()));
+      }
+      else if(value instanceof ColumnProfile profile)
+      {
+         apply(profile.getCounts());
+         apply(profile.getTopValues());
+         apply(profile.getBooleans());
+         apply(profile.getNumeric());
+         apply(profile.getDates());
+         apply(profile.getText());
+         apply(profile.getChart());
+      }
+      else if(value instanceof NumericProfile profile)
+      {
+         apply(profile.getMetrics());
+         apply(profile.getHistogram());
+         apply(profile.getOutliers());
+      }
+      else if(value instanceof DateProfile profile)
+      {
+         apply(profile.getMetrics());
+         apply(profile.getBuckets());
+         apply(profile.getGaps());
+         apply(profile.getDayOfWeek());
+         apply(profile.getHourOfDay());
+      }
+      else if(value instanceof TextProfile profile)
+      {
+         apply(profile.getMetrics());
+         apply(profile.getHistogram());
+         apply(profile.getPatterns());
+      }
+      else if(value instanceof TableProfile profile)
+      {
+         apply(profile.getRowCount());
+         apply(profile.getFields());
+         apply(profile.getCandidateKeys());
+         apply(profile.getHeatmap());
+      }
+      else if(value instanceof FieldSummary field)
+      {
+         apply(field.getNulls());
+         apply(field.getBlanks());
+      }
+      else if(value instanceof Chart chart)
+      {
+         apply(chart.getSeries());
+      }
+      else if(value instanceof Series series)
+      {
+         apply(series.getPoints());
+      }
+      else if(value instanceof DistinctValuesPage page)
+      {
+         apply(page.getValues());
+      }
+      else if(value instanceof DuplicatesResult result)
+      {
+         apply(result.getGroups());
+      }
+   }
+
+   /*******************************************************************************
+    ** Preserve count equivalence by removing the entire unsafe drill.
+    *******************************************************************************/
+   private Drill permitted(Drill drill)
+   {
+      return (drill == null || safe(drill.getFilter()) ? drill : null);
+   }
+
+   /*******************************************************************************
+    ** An exact copy of a user subtree is exempt from analysis field restrictions.
+    *******************************************************************************/
+   private boolean safe(QQueryFilter filter)
+   {
+      if(original.equals(JsonUtils.toJson(DrillFilters.copy(filter))))
+      {
+         return (true);
+      }
+      return (filter.getCriteria().stream().allMatch(c -> fields.contains(c.getFieldName())
+         && (c.getOtherFieldName() == null || fields.contains(c.getOtherFieldName()))
+         && (c.getFieldFunction() == null || fields.contains(c.getFieldFunction().getFieldName())))
+         && filter.getSubFilters().stream().allMatch(this::safe));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/AnalysisFormatting.java

@@ -0,0 +1,225 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.math.MathContext;
+import java.math.RoundingMode;
+import java.time.DayOfWeek;
+import java.time.Instant;
+import java.time.LocalDate;
+import java.time.Period;
+import java.time.ZoneId;
+import java.time.format.DateTimeFormatter;
+import java.time.format.TextStyle;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Locale;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qqq.backend.core.actions.values.QValueFormatter;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.DisplayFormat;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+import com.kingsrook.qqq.backend.core.utils.ValueUtils;
+
+/*******************************************************************************
+ ** Display-ready values shared by metrics, chart labels and the home widget.
+ *******************************************************************************/
+public final class AnalysisFormatting
+{
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private AnalysisFormatting()
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** Ratios remain numeric and bounded, with stable JSON precision.
+    *******************************************************************************/
+   public static BigDecimal ratio(BigDecimal value)
+   {
+      return (value.max(BigDecimal.ZERO).min(BigDecimal.ONE).setScale(6, RoundingMode.HALF_UP).stripTrailingZeros());
+   }
+
+
+
+   /*******************************************************************************
+    ** Plain numeric defaults are independent of the server locale.
+    *******************************************************************************/
+   public static String number(Number value, int decimals)
+   {
+      return (String.format(Locale.US, "%,." + decimals + "f", new BigDecimal(value.toString())));
+   }
+
+
+
+   /*******************************************************************************
+    ** Types and length keys determine display without changing numeric raw values.
+    *******************************************************************************/
+   public static String scalar(String key, Serializable value, ValueType type)
+   {
+      if(value == null)
+      {
+         return (null);
+      }
+      if(type == ValueType.PERCENT)
+      {
+         BigDecimal percent = new BigDecimal(value.toString()).multiply(BigDecimal.valueOf(100)).setScale(1, RoundingMode.HALF_UP);
+         return (percent.signum() == 0 || percent.compareTo(BigDecimal.valueOf(100)) == 0 ? percent.toBigInteger() + "%" : percent.toPlainString() + "%");
+      }
+      if(type == ValueType.DATE_TIME)
+      {
+         return (instant((Instant) value));
+      }
+      if(value instanceof Number n)
+      {
+         return (number(n, "meanLength".equals(key) ? 1 : type == ValueType.COUNT || key.endsWith("Length") ? 0 : 2));
+      }
+      return (value.toString());
+   }
+
+
+
+   /*******************************************************************************
+    ** Display formats belong to the host field; fallback defaults preserve fractions.
+    *******************************************************************************/
+   public static String numeric(QFieldMetaData field, String key, BigDecimal value)
+   {
+      if(value == null)
+      {
+         return (null);
+      }
+      String format = field.getDisplayFormat();
+      if(format != null && !format.isBlank() && !DisplayFormat.DEFAULT.equals(format))
+      {
+         Serializable displayValue = format.endsWith("d") ? value.toBigInteger() : value;
+         return (QValueFormatter.formatValue(format, displayValue));
+      }
+      return (number(value, field.getType() == QFieldType.DECIMAL || "mean".equals(key) || "stddev".equals(key) ? 2 : 0));
+   }
+
+
+
+   /*******************************************************************************
+    ** Decimal statistics retain ten significant digits; formatting uses the original.
+    *******************************************************************************/
+   public static Metric numericMetric(QFieldMetaData field, String key, BigDecimal value)
+   {
+      BigDecimal raw = value == null || field.getType() != QFieldType.DECIMAL ? value : value.round(new MathContext(10));
+      return (ProfileSupport.metric(key, raw, ValueType.DECIMAL).withFormatted(numeric(field, key, value)));
+   }
+
+
+
+   /*******************************************************************************
+    ** Use the same field formatter on both ends of every histogram interval.
+    *******************************************************************************/
+   public static String interval(QFieldMetaData field, BigDecimal low, BigDecimal high)
+   {
+      return (low == null ? "Below " + edge(field, high)
+         : high == null ? edge(field, low) + " and above"
+         : edge(field, low) + " – " + edge(field, high));
+   }
+
+
+
+   /*******************************************************************************
+    ** Whole edges omit redundant cents; unformatted fractional edges stay distinct.
+    *******************************************************************************/
+   private static String edge(QFieldMetaData field, BigDecimal value)
+   {
+      String format = field.getDisplayFormat();
+      int scale = Math.max(0, value.stripTrailingZeros().scale());
+      if(format == null || format.isBlank() || DisplayFormat.DEFAULT.equals(format))
+      {
+         return (number(value, scale));
+      }
+      String formatted = numeric(field, "min", value);
+      return (scale == 0 && DisplayFormat.CURRENCY.equals(format) && formatted.endsWith(".00")
+         ? formatted.substring(0, formatted.length() - 3) : formatted);
+   }
+
+
+
+   /*******************************************************************************
+    ** Instants remain UTC in raw values and display in the current session zone.
+    *******************************************************************************/
+   public static String instant(Instant value)
+   {
+      return (DateTimeFormatter.ofPattern("uuuu-MM-dd HH:mm", Locale.US).format(value.atZone(ValueUtils.getSessionOrInstanceZoneId())));
+   }
+
+
+
+   /*******************************************************************************
+    ** Calendar duration avoids misleading fixed-length month and year arithmetic.
+    *******************************************************************************/
+   public static String duration(LocalDate first, LocalDate last)
+   {
+      Period period = Period.between(first, last);
+      List<String> parts = new ArrayList<>();
+      if(period.getYears() != 0)
+      {
+         parts.add(period.getYears() + (period.getYears() == 1 ? " year" : " years"));
+      }
+      if(period.getMonths() != 0)
+      {
+         parts.add(period.getMonths() + (period.getMonths() == 1 ? " month" : " months"));
+      }
+      if(period.getDays() != 0 || parts.isEmpty())
+      {
+         parts.add(period.getDays() + (period.getDays() == 1 ? " day" : " days"));
+      }
+      return (String.join(" ", parts));
+   }
+
+
+
+   /*******************************************************************************
+    ** Calendar labels describe one bucket; the raw value remains its ISO start.
+    *******************************************************************************/
+   public static String dateBucket(Serializable start, AnalysisBackend.DateUnit unit, ZoneId zone)
+   {
+      if(unit == AnalysisBackend.DateUnit.DAY_OF_WEEK)
+      {
+         return (DayOfWeek.of(((Number) start).intValue()).getDisplayName(TextStyle.FULL, Locale.US));
+      }
+      if(unit == AnalysisBackend.DateUnit.HOUR_OF_DAY)
+      {
+         return (String.format(Locale.US, "%02d:00", ((Number) start).intValue()));
+      }
+      LocalDate date = ProfileSupport.day(start, zone);
+      return (switch(unit)
+      {
+         case YEAR -> Integer.toString(date.getYear());
+         case QUARTER -> date.getYear() + " Q" + ((date.getMonthValue() - 1) / 3 + 1);
+         case MONTH -> DateTimeFormatter.ofPattern("MMM uuuu", Locale.US).format(date);
+         case WEEK -> "Week of " + date;
+         case HOUR -> DateTimeFormatter.ofPattern("uuuu-MM-dd HH:00", Locale.US).format(((Instant) start).atZone(zone));
+         default -> date.toString();
+      });
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/AnalysisLabels.java

@@ -25,7 +25,6 @@ import java.util.LinkedHashSet;
 import java.util.List;
 import java.util.Set;
 import com.kingsrook.qqq.backend.core.actions.metadata.personalization.TableMetaDataPersonalizerAction;
-import com.kingsrook.qqq.backend.core.actions.permissions.FieldSecurityLockHelper;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
 import com.kingsrook.qqq.backend.core.actions.tables.QueryAction;
 import com.kingsrook.qqq.backend.core.actions.values.QPossibleValueTranslator;
@@ -64,7 +63,7 @@ public final class AnalysisLabels
     *******************************************************************************/
    public static String translate(QFieldMetaData field, Serializable value) throws QException
    {
-      return (translate(field, value, new LinkedHashSet<>()));
+      return (translate(field, value, CoreTierFieldAccessResolver.defaultResolver()));
    }
 
 
@@ -72,12 +71,24 @@ public final class AnalysisLabels
    /*******************************************************************************
     ** Resolve nested PVS label fields without invoking core's trusted lookup path.
     *******************************************************************************/
-   private static String translate(QFieldMetaData field, Serializable value, Set<String> visited) throws QException
+   public static String translate(QFieldMetaData field, Serializable value, FieldAnalysisAccessResolver access) throws QException
+   {
+      return (translate(field, value, new LinkedHashSet<>(), access));
+   }
+
+   /*******************************************************************************
+    ** Resolve nested labels only through FULL fields under the host policy.
+    *******************************************************************************/
+   private static String translate(QFieldMetaData field, Serializable value, Set<String> visited, FieldAnalysisAccessResolver access) throws QException
    {
       if(value == null)
       {
          return (null);
       }
+      if(field.getType() == com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType.BOOLEAN)
+      {
+         return (com.kingsrook.qqq.backend.core.utils.ValueUtils.getValueAsBoolean(value) ? "Yes" : "No");
+      }
       String fallback = value.toString();
       QPossibleValueSource source = QContext.getQInstance().getPossibleValueSource(field.getPossibleValueSourceName());
       if(source == null || visited.size() >= 8 || !visited.add(source.getName()))
@@ -98,7 +109,7 @@ public final class AnalysisLabels
          List<String> labelFields = original.getRecordLabelFields() == null ? List.of() : original.getRecordLabelFields();
          for(String labelField : labelFields)
          {
-            if(!table.getFields().containsKey(labelField) || !FieldSecurityLockHelper.isFieldAccessible(table.getField(labelField)))
+            if(!table.getFields().containsKey(labelField) || access.resolve(table, table.getField(labelField)) != FieldAnalysisAccess.FULL)
             {
                return (fallback);
             }
@@ -119,7 +130,7 @@ public final class AnalysisLabels
             QFieldMetaData labelMetadata = table.getField(labelField);
             if(labelMetadata.getPossibleValueSourceName() != null)
             {
-               record.withDisplayValue(labelField, translate(labelMetadata, record.getValue(labelField), visited));
+               record.withDisplayValue(labelField, translate(labelMetadata, record.getValue(labelField), visited, access));
             }
          }
          String label = QValueFormatter.formatRecordLabel(table, record);
@@ -144,6 +155,14 @@ public final class AnalysisLabels
     ** host changing field/record locks cannot release older translated labels.
     *******************************************************************************/
    public static java.util.Map<String, Object> policy(String tableName) throws QException
+   {
+      return (policy(tableName, CoreTierFieldAccessResolver.defaultResolver()));
+   }
+
+   /*******************************************************************************
+    ** Include host-resolved tiers of related labels in the exact-run identity.
+    *******************************************************************************/
+   public static java.util.Map<String, Object> policy(String tableName, FieldAnalysisAccessResolver access) throws QException
    {
       java.util.Map<String, Object> result = new java.util.TreeMap<>();
       java.util.ArrayDeque<String> pending = new java.util.ArrayDeque<>();
@@ -160,6 +179,7 @@ public final class AnalysisLabels
          QTableMetaData table = TableMetaDataPersonalizerAction.execute(input, true);
          java.util.Map<String, Object> entry = new java.util.TreeMap<>();
          entry.put("fields", table.getFields());
+         entry.put("fullFields", table.getFields().values().stream().filter(f -> access.resolve(table, f) == FieldAnalysisAccess.FULL).map(QFieldMetaData::getName).sorted().toList());
          entry.put("locks", table.getRecordSecurityLocks());
          entry.put("labelFields", table.getRecordLabelFields());
          entry.put("labelFormat", table.getRecordLabelFormat());

src/main/java/com/kingsrook/qbits/dataanalysis/engine/AnalysisSecurity.java

@@ -20,19 +20,21 @@
 
 package com.kingsrook.qbits.dataanalysis.engine;
 
+import java.io.Serializable;
 import java.util.List;
 import com.kingsrook.qbits.dataanalysis.permissions.DataAnalysisPermissions;
 import com.kingsrook.qqq.backend.core.actions.metadata.personalization.TableMetaDataPersonalizerAction;
-import com.kingsrook.qqq.backend.core.actions.permissions.FieldSecurityLockHelper;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionsHelper;
 import com.kingsrook.qqq.backend.core.actions.permissions.TablePermissionSubType;
 import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
 import com.kingsrook.qqq.backend.core.exceptions.QException;
 import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
 import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryInput;
 import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
 
 /*******************************************************************************
  ** Fail closed before any source-table computation, including cache retrieval.
@@ -40,17 +42,27 @@ import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
 public class AnalysisSecurity
 {
    private final EffectiveConfigResolver configs;
+   private final FieldAnalysisAccessResolver fieldAccess;
 
    /*******************************************************************************
     ** Use the runtime's configuration policy.
     *******************************************************************************/
    public AnalysisSecurity(EffectiveConfigResolver configs)
    {
-      this.configs = configs;
+      this(configs, CoreTierFieldAccessResolver.defaultResolver());
    }
 
 
 
+   /*******************************************************************************
+    ** Bind the host field policy.
+    *******************************************************************************/
+   public AnalysisSecurity(EffectiveConfigResolver configs, FieldAnalysisAccessResolver fieldAccess)
+   {
+      this.configs = configs;
+      this.fieldAccess = fieldAccess;
+   }
+
    /*******************************************************************************
     ** Explicit enforcement is independent of the instance's default switch.
     *******************************************************************************/
@@ -76,7 +88,7 @@ public class AnalysisSecurity
    {
       QTableMetaData table = table(name);
       EffectiveConfig c = configs.resolve(name);
-      return (table.getFields().values().stream().filter(FieldSecurityLockHelper::isFieldAccessible)
+      return (table.getFields().values().stream().filter(f -> fieldAccess.resolve(table, f) == FieldAnalysisAccess.FULL)
          .filter(f -> c.getAnalyzableFields().isEmpty() || c.getAnalyzableFields().contains(f.getName()))
          .filter(f -> !c.getExcludedFields().contains(f.getName())).toList());
    }
@@ -89,6 +101,50 @@ public class AnalysisSecurity
    public QFieldMetaData field(String table, String field) throws QException
    {
       return (analyzableFields(table).stream().filter(f -> f.getName().equals(field)).findFirst()
-         .orElseThrow(() -> new QPermissionDeniedException("Analysis is unavailable for this field.")));
+         .orElseThrow(() -> new QBadRequestException("Unknown analysis field.")));
+   }
+
+   /*******************************************************************************
+    ** Core fingerprint plus the sorted FULL-field list, hashed by the run identity.
+    *******************************************************************************/
+   public String accessFingerprint(String table) throws QException
+   {
+      return (fieldAccess.getAccessFingerprint() + ":" + JsonUtils.toJson(analyzableFields(table).stream().map(QFieldMetaData::getName).sorted().toList()));
+   }
+
+   /*******************************************************************************
+    ** Check a joined field without requiring the related table analyze permission.
+    *******************************************************************************/
+   public QFieldMetaData joinedField(String tableName, String fieldName) throws QException
+   {
+      QTableMetaData table = joinedTable(tableName);
+      QFieldMetaData field = table.getFields().get(fieldName);
+      if(field == null || fieldAccess.resolve(table, field) != FieldAnalysisAccess.FULL)
+      {
+         throw new QBadRequestException("Unknown analysis field.");
+      }
+      return (field);
+   }
+
+   /*******************************************************************************
+    ** Display labels use the same policy as the selected pivot field.
+    *******************************************************************************/
+   public String label(QFieldMetaData field, Serializable value) throws QException
+   {
+      return (AnalysisLabels.translate(field, value, fieldAccess));
+   }
+
+   /*******************************************************************************
+    ** Each intermediate exposed-join table requires READ, without analyze rights.
+    *******************************************************************************/
+   public QTableMetaData joinedTable(String tableName) throws QException
+   {
+      QueryInput input = new QueryInput(tableName);
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      if(QContext.getQInstance().getTable(tableName) == null || !PermissionsHelper.hasTablePermission(input, tableName, TablePermissionSubType.READ))
+      {
+         throw new QBadRequestException("Unknown analysis field.");
+      }
+      return (TableMetaDataPersonalizerAction.execute(input, true));
    }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/engine/ColumnProfiler.java

@@ -48,13 +48,23 @@ import com.kingsrook.qqq.backend.core.utils.ValueUtils;
 public class ColumnProfiler
 {
    private final AnalysisBackend backend;
+   private final FieldAnalysisAccessResolver fieldAccess;
 
    /*******************************************************************************
     ** The backend can be replaced when core's new operators ship.
     *******************************************************************************/
    public ColumnProfiler(AnalysisBackend backend)
+   {
+      this(backend, CoreTierFieldAccessResolver.defaultResolver());
+   }
+
+   /*******************************************************************************
+    ** Bind the host field policy for possible-value labels.
+    *******************************************************************************/
+   public ColumnProfiler(AnalysisBackend backend, FieldAnalysisAccessResolver fieldAccess)
    {
       this.backend = backend;
+      this.fieldAccess = fieldAccess;
    }
 
 
@@ -68,38 +78,45 @@ public class ColumnProfiler
       String name = field.getName();
       QQueryFilter filter = scope.filter();
       long rows = backend.count(table, filter);
+      QQueryFilter drillFilter = scope.estimate() ? request.getFilter() : filter;
       AnalysisBackend.FieldCounts counts = backend.fieldCounts(table, filter, List.of(name)).get(name);
       ColumnProfile result = new ColumnProfile().withTableName(table).withFieldName(name).withFieldLabel(field.getLabel()).withFieldType(field.getType().name())
-         .withFilter(DrillFilters.restoreTypes(request.getTableName(), request.getFilter())).withEstimate(scope.estimate()).withSampleRows(scope.estimate() ? rows : 0L)
+         .withFilter(DrillFilters.restoreTypes(request.getTableName(), request.getFilter())).withEstimate(scope.estimate()).withSampleRows(scope.estimate() ? scope.rowsScanned() : 0L)
          .withRowsScanned(scope.rowsScanned()).withTruncated(scope.truncated()).withAsOf(Instant.now());
-      result.getCounts().add(ProfileSupport.count("rows", rows, table, filter, null));
-      result.getCounts().add(ProfileSupport.count("nonNull", counts.nonNull(), table, filter, DrillFilters.nonNull(name, field.getType().isStringLike())));
-      result.getCounts().add(ProfileSupport.count("nulls", counts.nulls(), table, filter, DrillFilters.nulls(name, field.getType().isStringLike())));
+      result.getCounts().add(ProfileSupport.count("rows", scope.estimate() ? scope.total() : rows, table, drillFilter, null));
+      result.getCounts().add(ProfileSupport.count("nonNull", counts.nonNull(), table, drillFilter, DrillFilters.nonNull(name, field.getType().isStringLike())));
+      result.getCounts().add(ProfileSupport.count("nulls", counts.nulls(), table, drillFilter, DrillFilters.nulls(name, field.getType().isStringLike())));
       if(field.getType().isStringLike())
       {
-         result.getCounts().add(ProfileSupport.count("blanks", counts.blanks(), table, filter, counts.blankFilter()));
+         result.getCounts().add(ProfileSupport.count("blanks", counts.blanks(), table, drillFilter, counts.blankFilter()));
       }
-      result.getCounts().add(ProfileSupport.count("distinct", counts.distinct(), table, filter, counts.distinctFilter()));
-      result.getCounts().add(ProfileSupport.metric("uniqueness", ProfileSupport.share(counts.distinct(), counts.nonNull()), ValueType.PERCENT));
-      result.withTopValues(ProfileSupport.values(table, filter, field, backend.topValues(table, filter, name, 20, 0, null), rows));
+      result.getCounts().add(ProfileSupport.count("distinct", counts.distinct(), table, drillFilter, counts.distinctFilter()));
+      result.getCounts().add(ProfileSupport.metric("uniqueness", counts.uniqueness(), ValueType.PERCENT));
+      result.withTopValues(ProfileSupport.values(table, drillFilter, field, backend.topValues(table, filter, name, 20, 0, null), rows, fieldAccess));
       QFieldType type = field.getType();
       if(type == QFieldType.INTEGER || type == QFieldType.LONG || type == QFieldType.DECIMAL)
       {
-         numeric(result, filter, rows);
+         numeric(result, filter, drillFilter, rows, field);
       }
       else if(type == QFieldType.DATE || type == QFieldType.DATE_TIME)
       {
-         dates(result, filter, rows, type);
+         dates(result, filter, drillFilter, rows, type);
       }
       else if(type.isStringLike())
       {
          AnalysisBackend.LengthSummary summary = backend.lengthSummary(table, filter, name);
-         TextProfile text = new TextProfile().withHistogram(ProfileSupport.values(table, filter, null, summary.histogram(), rows))
-            .withPatterns(ProfileSupport.values(table, filter, null, backend.patterns(table, filter, name, 10_000), Math.min(rows, 10_000)))
-            .withSampleRows(Math.min(rows, 10_000));
+         AnalysisBackend.PatternSummary patterns = backend.patterns(table, filter, name, 10_000);
+         long patternValues = patterns.values();
+         TextProfile text = new TextProfile().withHistogram(ProfileSupport.values(table, drillFilter, null, summary.histogram(), rows))
+            .withPatterns(ProfileSupport.values(table, drillFilter, null, patterns.groups(), patternValues))
+            .withSampleRows(patternValues);
          summary.metrics().forEach((key, value) -> text.getMetrics().add(ProfileSupport.metric(key, value, ValueType.DECIMAL)));
          result.withText(text);
-         result.getWarnings().add("Patterns use the first " + Math.min(rows, 10_000) + " rows by primary key.");
+         if(patterns.truncated())
+         {
+            result.getWarnings().add(scope.samplePercent() == null ? "Patterns are based on the first " + AnalysisFormatting.number(patternValues, 0) + " values."
+               : "Patterns are based on " + AnalysisFormatting.number(patternValues, 0) + " sampled values.");
+         }
       }
       else if(type == QFieldType.BOOLEAN)
       {
@@ -107,11 +124,28 @@ public class ColumnProfiler
          for(boolean value : List.of(true, false))
          {
             QQueryFilter condition = DrillFilters.value(name, value, false);
-            result.getBooleans().add(ProfileSupport.count(Boolean.toString(value), backend.count(table, DrillFilters.and(filter, condition)), table, filter, condition));
+            result.getBooleans().add(ProfileSupport.count(Boolean.toString(value), backend.count(table, DrillFilters.and(filter, condition)), table, drillFilter, condition));
          }
-         result.getBooleans().add(ProfileSupport.count("nulls", counts.nulls(), table, filter, DrillFilters.nulls(name, false)));
+         result.getBooleans().add(ProfileSupport.count("nulls", counts.nulls(), table, drillFilter, DrillFilters.nulls(name, false)));
       }
       new MinGroupSizeGuard(config.getMinGroupSize()).column(result, rows);
+      if(scope.estimate())
+      {
+         ProfileSupport.markEstimates(result.getCounts());
+         ProfileSupport.markEstimates(result.getBooleans());
+         if(result.getNumeric() != null)
+         {
+            ProfileSupport.markEstimates(result.getNumeric().getMetrics());
+         }
+         if(result.getDates() != null)
+         {
+            ProfileSupport.markEstimates(result.getDates().getMetrics());
+         }
+         if(result.getText() != null)
+         {
+            ProfileSupport.markEstimates(result.getText().getMetrics());
+         }
+      }
       if(field.getPossibleValueSourceName() != null || result.getNumeric() == null && result.getDates() == null)
       {
          result.withChart(ProfileSupport.chart(ChartKind.BAR, ChartKind.PARETO, name, result.getTopValues()));
@@ -123,22 +157,28 @@ public class ColumnProfiler
       else
       {
          result.withChart(ProfileSupport.chart(ChartKind.TIME_SERIES, ChartKind.BAR, name, result.getDates().getBuckets()));
+         result.getChart().getX().withLabel(field.getLabel() + (result.getDates().getUnit() == null ? "" : " (" + result.getDates().getUnit().toLowerCase(java.util.Locale.ROOT) + ")"));
       }
-      if(rows == 0)
+      if(scope.total() == 0)
       {
          result.getWarnings().add("No readable records match this analysis scope.");
       }
-      else if(counts.nonNull() == 0)
+      else if(counts.nonNull() == 0 && rows > 0 && (!scope.estimate() || scope.rowsScanned() > 0))
       {
-         result.getWarnings().add("All values in this analysis scope are null.");
+         result.getWarnings().add(scope.estimate() ? "All observed values are null." : "All values in this analysis scope are null.");
       }
       if(scope.estimate())
       {
-         result.getWarnings().add("Estimate: first " + rows + " rows by primary key; not a random sample.");
+         result.getWarnings().add(scope.warning());
+         if(scope.rowsScanned() == 0)
+         {
+            result.getWarnings().add("No sample rows were observed; run exact for exact numbers.");
+         }
       }
       if(scope.truncated())
       {
-         result.getWarnings().add("Partial result: max_rows reached; counts and drills cover only the selected prefix.");
+         result.getWarnings().add(scope.estimate() ? "Partial result: max_rows reached; counts cover the selected prefix and drills cover the full population."
+            : "Partial result: max_rows reached; counts and drills cover only the selected prefix.");
       }
       return (result);
    }
@@ -146,24 +186,24 @@ public class ColumnProfiler
 
 
    /*******************************************************************************
-    ** Numeric moments, twenty interior bins, exterior bins and Tukey outliers.
+    ** Numeric moments, nice interior bins, exterior bins and Tukey outliers.
     *******************************************************************************/
-   private void numeric(ColumnProfile result, QQueryFilter filter, long rows) throws QException
+   private void numeric(ColumnProfile result, QQueryFilter filter, QQueryFilter drillFilter, long rows, QFieldMetaData metadata) throws QException
    {
       String table = result.getTableName();
       String field = result.getFieldName();
       AnalysisBackend.NumericSummary summary = backend.numericSummary(table, filter, field,
          List.of("0.01", "0.05", "0.25", "0.50", "0.75", "0.95", "0.99").stream().map(BigDecimal::new).toList());
       NumericProfile numeric = new NumericProfile();
-      summary.metrics().forEach((key, value) -> numeric.getMetrics().add(ProfileSupport.metric(key, value, ValueType.DECIMAL)));
+      summary.metrics().forEach((key, value) -> numeric.getMetrics().add(AnalysisFormatting.numericMetric(metadata, key, value)));
       for(AnalysisBackend.GroupCount count : summary.counts())
       {
-         numeric.getMetrics().add(ProfileSupport.count(count.label(), count.count(), table, filter, count.condition()));
+         numeric.getMetrics().add(ProfileSupport.count(count.label(), count.count(), table, drillFilter, count.condition()));
       }
-      numeric.getMetrics().add(ProfileSupport.count("outliers", summary.outlierCount(), table, filter, summary.outlierFilter()));
-      numeric.withHistogram(ProfileSupport.values(table, filter, null,
+      numeric.getMetrics().add(ProfileSupport.count("outliers", summary.outlierCount(), table, drillFilter, summary.outlierFilter()));
+      numeric.withHistogram(ProfileSupport.values(table, drillFilter, null,
          backend.numericHistogram(table, filter, field, summary.metrics().get("p1"), summary.metrics().get("p99"), 20), rows));
-      numeric.withOutliers(ProfileSupport.values(table, filter, null, summary.outliers(), rows));
+      numeric.withOutliers(ProfileSupport.values(table, drillFilter, null, summary.outliers(), rows));
       result.withNumeric(numeric);
    }
 
@@ -172,7 +212,7 @@ public class ColumnProfiler
    /*******************************************************************************
     ** Date extrema, range, calendar volume, gaps and cyclic time patterns.
     *******************************************************************************/
-   private void dates(ColumnProfile result, QQueryFilter filter, long rows, QFieldType type) throws QException
+   private void dates(ColumnProfile result, QQueryFilter filter, QQueryFilter drillFilter, long rows, QFieldType type) throws QException
    {
       String table = result.getTableName();
       String field = result.getFieldName();
@@ -187,13 +227,13 @@ public class ColumnProfiler
          LocalDate last = ProfileSupport.day(extrema.get("max"), zone);
          AnalysisBackend.DateUnit unit = autoBucket(first, last);
          dates.withUnit(unit.name());
-         dates.getMetrics().add(ProfileSupport.metric("range", ChronoUnit.DAYS.between(first, last), ValueType.DURATION));
-         List<ValueCount> buckets = ProfileSupport.values(table, filter, null, backend.dateBuckets(table, filter, field, unit, zone), rows);
+         dates.getMetrics().add(ProfileSupport.metric("range", ChronoUnit.DAYS.between(first, last), ValueType.DURATION).withFormatted(AnalysisFormatting.duration(first, last)));
+         List<ValueCount> buckets = ProfileSupport.values(table, drillFilter, null, backend.dateBuckets(table, filter, field, unit, zone), rows);
          dates.withBuckets(buckets).withGaps(buckets.stream().filter(b -> b.getCount() == 0).toList());
          if(type == QFieldType.DATE_TIME)
          {
-            dates.withDayOfWeek(ProfileSupport.values(table, filter, null, backend.dateBuckets(table, filter, field, AnalysisBackend.DateUnit.DAY_OF_WEEK, zone), rows))
-               .withHourOfDay(ProfileSupport.values(table, filter, null, backend.dateBuckets(table, filter, field, AnalysisBackend.DateUnit.HOUR_OF_DAY, zone), rows));
+            dates.withDayOfWeek(ProfileSupport.values(table, drillFilter, null, backend.dateBuckets(table, filter, field, AnalysisBackend.DateUnit.DAY_OF_WEEK, zone), rows))
+               .withHourOfDay(ProfileSupport.values(table, drillFilter, null, backend.dateBuckets(table, filter, field, AnalysisBackend.DateUnit.HOUR_OF_DAY, zone), rows));
          }
       }
       result.withDates(dates);

src/main/java/com/kingsrook/qbits/dataanalysis/engine/ComparisonExplorer.java

@@ -0,0 +1,254 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.math.BigDecimal;
+import java.math.MathContext;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qbits.dataanalysis.result.ChartKind;
+import com.kingsrook.qbits.dataanalysis.result.CompareRequest;
+import com.kingsrook.qbits.dataanalysis.result.CompareResult;
+import com.kingsrook.qbits.dataanalysis.result.ComparisonSide;
+import com.kingsrook.qbits.dataanalysis.result.ComparisonValue;
+import com.kingsrook.qbits.dataanalysis.result.FieldComparison;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.Point;
+import com.kingsrook.qbits.dataanalysis.result.Series;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qbits.dataanalysis.stats.Statistics;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.Aggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Two populations share category boundaries and exact producing predicates.
+ *******************************************************************************/
+public class ComparisonExplorer extends RelationshipSupport
+{
+   /*******************************************************************************
+    ** Bind request-local policy without modifying session metadata.
+    *******************************************************************************/
+   public ComparisonExplorer(AnalysisSecurity security, EffectiveConfig config, String table)
+   {
+      super(security, config, table);
+   }
+
+   /*******************************************************************************
+    ** Resolve every field before issuing source queries.
+    *******************************************************************************/
+   public CompareResult compare(CompareRequest request) throws QException
+   {
+      if(request.getFields() == null || request.getFields().isEmpty() || request.getFields().size() > 100
+         || request.getFields().stream().distinct().count() != request.getFields().size())
+      {
+         throw new QBadRequestException("Choose 1 to 100 distinct analysis fields.");
+      }
+      for(String field : request.getFields())
+      {
+         full(field);
+      }
+      CompareResult result = new CompareResult();
+      for(String field : request.getFields())
+      {
+         result.getFields().add(numeric(full(field)) ? numericComparison(request, field) : categoryComparison(request, field));
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** All moments and quartiles are computed together by core, including VAR_SAMP.
+    *******************************************************************************/
+   protected Map<String, BigDecimal> moments(String field, QQueryFilter filter) throws QException
+   {
+      Map<String, Aggregate> measures = new LinkedHashMap<>();
+      measures.put("count", measure(field, AggregateOperator.COUNT));
+      measures.put("mean", measure(field, AggregateOperator.AVG));
+      measures.put("variance", measure(field, AggregateOperator.VAR_SAMP));
+      measures.put("min", measure(field, AggregateOperator.MIN));
+      measures.put("max", measure(field, AggregateOperator.MAX));
+      for(int p : List.of(25, 50, 75))
+      {
+         measures.put("p" + p, measure(field, AggregateOperator.PERCENTILE_CONT).withPercentile(BigDecimal.valueOf(p, 2)));
+      }
+      var row = summarize(filter, new ArrayList<>(measures.values()));
+      Map<String, BigDecimal> result = new LinkedHashMap<>();
+      measures.forEach((name, aggregate) -> result.put(name, decimal(row.getAggregateValues().get(aggregate))));
+      result.putIfAbsent("count", BigDecimal.ZERO);
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Two BOX series retain all five summary values; mean and median get drills.
+    *******************************************************************************/
+   private FieldComparison numericComparison(CompareRequest request, String field) throws QException
+   {
+      Map<String, BigDecimal> a = moments(field, request.getFilterA());
+      Map<String, BigDecimal> b = moments(field, request.getFilterB());
+      long nA = a.get("count").longValue();
+      long nB = b.get("count").longValue();
+      ComparisonSide sideA = numericSide(field, request.getLabelA(), request.getFilterA(), a);
+      ComparisonSide sideB = numericSide(field, request.getLabelB(), request.getFilterB(), b);
+      ComparisonValue value = new ComparisonValue().withSideA(sideA).withSideB(sideB).withLabel(field);
+      boolean hidden = nA < config.getMinGroupSize() || nB < config.getMinGroupSize();
+      if(!hidden)
+      {
+         deltas(value, a.get("mean"), b.get("mean"));
+      }
+      Statistics.Result test = hidden ? Statistics.unavailable("Welch's t-test", "privacy guard")
+         : Statistics.welch(nA, number(a, "mean"), number(a, "variance"), nB, number(b, "mean"), number(b, "variance"));
+      return (new FieldComparison().withField(field).withValues(List.of(value)).withSignificance(significance(test))
+         .withChart(chart(ChartKind.BOX, List.of(box(sideA), box(sideB)), "Two box summaries; delta is B minus A.")));
+   }
+
+   /*******************************************************************************
+    ** Null moments remain invalid test inputs rather than becoming zero variance.
+    *******************************************************************************/
+   private static double number(Map<String, BigDecimal> values, String key)
+   {
+      return (values.get(key) == null ? Double.NaN : values.get(key).doubleValue());
+   }
+
+   /*******************************************************************************
+    ** Count means non-null numeric records; every summary drills to that set.
+    *******************************************************************************/
+   protected ComparisonSide numericSide(String field, String label, QQueryFilter filter, Map<String, BigDecimal> values)
+   {
+      ComparisonSide result = new ComparisonSide().withLabel(label);
+      for(String key : List.of("count", "mean", "min", "p25", "p50", "p75", "max"))
+      {
+         String name = key.equals("p50") ? "median" : key;
+         result.getMetrics().add(metric(name, values.get(key), key.equals("count") ? ValueType.COUNT : ValueType.DECIMAL, filter, DrillFilters.nonNull(field, false)));
+      }
+      guard(result.getMetrics(), values.get("count").longValue());
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Only guarded summary metrics enter charts.
+    *******************************************************************************/
+   private Series box(ComparisonSide side)
+   {
+      Series series = new Series().withName(side.getLabel());
+      side.getMetrics().stream().filter(m -> !List.of("count", "mean").contains(m.getKey()) && m.getValue() != null)
+         .forEach(m -> series.getPoints().add(new Point().withX(m.getKey()).withY(decimal(m.getValue())).withLabel(m.getLabel()).withDrill(m.getDrill())));
+      return (series);
+   }
+
+   /*******************************************************************************
+    ** Top ten across the union gives both populations the same categories.
+    ** Expected counts below five pool into Other before display and inference.
+    *******************************************************************************/
+   private FieldComparison categoryComparison(CompareRequest request, String field) throws QException
+   {
+      QQueryFilter union = request.getFilterA() == null || request.getFilterB() == null ? null
+         : new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(DrillFilters.copy(request.getFilterA())).withSubFilter(DrillFilters.copy(request.getFilterB()));
+      long nA = size(request.getFilterA());
+      long nB = size(request.getFilterB());
+      List<Category> kept = new ArrayList<>();
+      List<Category> other = new ArrayList<>();
+      boolean privateOther = false;
+      for(Category category : categories(field, union, 10))
+      {
+         long a = size(DrillFilters.and(request.getFilterA(), category.condition()));
+         long b = size(DrillFilters.and(request.getFilterB(), category.condition()));
+         boolean hidden = category.privateGroup() || a < config.getMinGroupSize() || b < config.getMinGroupSize();
+         double pooled = nA + nB == 0 ? 0 : (double) (a + b) / (nA + nB);
+         if(hidden || Math.min(nA * pooled, nB * pooled) < 5 || category.label().equals("Other") && category.value() == null)
+         {
+            other.add(category);
+            privateOther |= hidden;
+         }
+         else
+         {
+            kept.add(category);
+         }
+      }
+      if(!other.isEmpty())
+      {
+         kept.add(merge(other, privateOther));
+      }
+      double[][] counts = new double[2][kept.size()];
+      FieldComparison result = new FieldComparison().withField(field);
+      Series seriesA = new Series().withName(request.getLabelA());
+      Series seriesB = new Series().withName(request.getLabelB());
+      for(int i = 0; i < kept.size(); i++)
+      {
+         Category category = kept.get(i);
+         long a = size(DrillFilters.and(request.getFilterA(), category.condition()));
+         long b = size(DrillFilters.and(request.getFilterB(), category.condition()));
+         counts[0][i] = a;
+         counts[1][i] = b;
+         ComparisonSide sideA = categorySide(request.getLabelA(), request.getFilterA(), category, a, nA);
+         ComparisonSide sideB = categorySide(request.getLabelB(), request.getFilterB(), category, b, nB);
+         ComparisonValue value = new ComparisonValue().withValue(category.value()).withLabel(category.label()).withSideA(sideA).withSideB(sideB);
+         boolean hidden = a < config.getMinGroupSize() || b < config.getMinGroupSize();
+         if(!hidden)
+         {
+            deltas(value, ProfileSupport.share(a, nA), ProfileSupport.share(b, nB));
+         }
+         value.withSignificance(significance(hidden || category.privateGroup() ? Statistics.unavailable("Two-proportion z-test", "privacy guard") : Statistics.proportions(a, nA, b, nB)));
+         result.getValues().add(value);
+         categoryPoint(seriesA, category, sideA);
+         categoryPoint(seriesB, category, sideB);
+      }
+      result.withSignificance(significance(privateOther ? Statistics.unavailable("Chi-square homogeneity", "privacy guard") : Statistics.chiSquare(counts, true)));
+      return (result.withChart(chart(ChartKind.BAR, List.of(seriesA, seriesB), "Grouped bars; delta is B minus A. Low expected counts are merged into Other.")));
+   }
+
+   /*******************************************************************************
+    ** Sensitive merged categories reveal no predicate or original value.
+    *******************************************************************************/
+   private ComparisonSide categorySide(String label, QQueryFilter filter, Category category, long n, long total)
+   {
+      ComparisonSide side = new ComparisonSide().withLabel(label).withMetrics(List.of(metric("count", n, ValueType.COUNT, filter, category.condition()),
+         metric("share", ProfileSupport.share(n, total), ValueType.PERCENT, filter, category.condition())));
+      if(category.privateGroup())
+      {
+         side.getMetrics().forEach(m -> m.withDrill(null));
+      }
+      guard(side.getMetrics(), n);
+      return (side);
+   }
+
+   /*******************************************************************************
+    ** Charts reflect only released count metrics.
+    *******************************************************************************/
+   private void categoryPoint(Series series, Category category, ComparisonSide side)
+   {
+      Metric count = side.getMetrics().getFirst();
+      series.getPoints().add(new Point().withX(category.label()).withLabel(category.label()).withY(decimal(count.getValue())).withDrill(count.getDrill()));
+   }
+
+   /*******************************************************************************
+    ** Percent delta is a fraction relative to |A|; zero baseline is undefined.
+    *******************************************************************************/
+   private void deltas(ComparisonValue value, BigDecimal a, BigDecimal b)
+   {
+      BigDecimal delta = a == null || b == null ? null : b.subtract(a);
+      value.withDelta(ProfileSupport.metric("delta", delta, ValueType.DECIMAL));
+      value.withPercentDelta(ProfileSupport.metric("percentDelta", delta == null || a.signum() == 0 ? null : delta.divide(a.abs(), MathContext.DECIMAL128), ValueType.PERCENT));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/CoreAnalysisBackend.java

@@ -0,0 +1,483 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.math.MathContext;
+import java.math.RoundingMode;
+import java.time.LocalDate;
+import java.time.ZoneId;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Set;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.Aggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateCapability;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateResult;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucket;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucketUnit;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.GroupBy;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.NumericBucket;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+import com.kingsrook.qqq.backend.core.modules.backend.QBackendModuleDispatcher;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
+
+/*******************************************************************************
+ ** Capability-directed aggregates; streamed primitives retain portable drills.
+ *******************************************************************************/
+public class CoreAnalysisBackend extends StandInAnalysisBackend
+{
+   private BigDecimal samplePercent;
+   private QQueryFilter populationFilter;
+   private long populationRows;
+   private long aggregateRows;
+   private BigDecimal lastCountShare;
+
+   /*******************************************************************************
+    ** Bind the same bounded configuration as the streamed implementation.
+    *******************************************************************************/
+   public CoreAnalysisBackend(EffectiveConfig config)
+   {
+      super(config);
+   }
+
+   /*******************************************************************************
+    ** Ask the actual backend implementation, including dialect-specific support.
+    *******************************************************************************/
+   public static Set<AggregateCapability> capabilities(String table) throws QException
+   {
+      AggregateInput input = new AggregateInput(table);
+      return (new QBackendModuleDispatcher().getQBackendModule(input.getBackend()).getAggregateInterface().getSupportedCapabilities(input));
+   }
+
+   /*******************************************************************************
+    ** Sampling belongs to each aggregate, never to a materialized key filter.
+    *******************************************************************************/
+   @Override
+   public Scope scope(String table, QQueryFilter filter, boolean exact) throws QException
+   {
+      samplePercent = null;
+      long total = super.count(table, filter);
+      if(exact || total <= config.getSampleThresholdRows() || total <= config.getSampleRows() || !capabilities(table).contains(AggregateCapability.SAMPLING))
+      {
+         return (super.scope(table, filter, exact));
+      }
+      estimating = true;
+      populationRows = total;
+      populationFilter = DrillFilters.copy(filter);
+      samplePercent = BigDecimal.valueOf(config.getSampleRows()).multiply(BigDecimal.valueOf(100))
+         .divide(BigDecimal.valueOf(total), MathContext.DECIMAL128).min(BigDecimal.valueOf(100));
+      long seen = sampledCount(table, populationFilter);
+      return (new Scope(DrillFilters.copy(filter), total, seen, false, true, samplePercent));
+   }
+
+   /*******************************************************************************
+    ** Count the sampled call's actual rows rather than assuming the requested size.
+    *******************************************************************************/
+   private long sampledCount(String table, QQueryFilter filter) throws QException
+   {
+      if(samplePercent.signum() == 0)
+      {
+         return (0);
+      }
+      List<AggregateResult> result = super.aggregate(new AggregateInput(table).withFilter(DrillFilters.copy(filter))
+         .withAggregate(countOf(primaryKey(table), AggregateOperator.COUNT)).withSamplePercent(samplePercent));
+      return (result.isEmpty() ? 0 : number(result.getFirst(), primaryKey(table), AggregateOperator.COUNT).longValue());
+   }
+
+   /*******************************************************************************
+    ** Unpaginated groups supply their own denominator, including null groups.
+    ** Limited groups use a separate sampled population count for this call.
+    *******************************************************************************/
+   @Override
+   protected List<AggregateResult> aggregate(AggregateInput input) throws QException
+   {
+      if(samplePercent == null)
+      {
+         return (super.aggregate(input));
+      }
+      if(samplePercent.signum() == 0)
+      {
+         aggregateRows = 0;
+         return (List.of());
+      }
+      Aggregate count = countOf(primaryKey(input.getTableName()), AggregateOperator.COUNT);
+      if(input.getAggregates() == null || !input.getAggregates().contains(count))
+      {
+         input.withAggregate(count);
+      }
+      input.withSamplePercent(samplePercent);
+      boolean fullPopulation = JsonUtils.toJson(DrillFilters.copy(input.getFilter())).equals(JsonUtils.toJson(populationFilter));
+      List<AggregateResult> result = super.aggregate(input);
+      aggregateRows = fullPopulation && input.getLimit() == null
+         ? result.stream().mapToLong(r -> number(r, primaryKey(input.getTableName()), AggregateOperator.COUNT).longValue()).sum()
+         : sampledCount(input.getTableName(), populationFilter);
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Population rows remain exact; conditional counters estimate their membership.
+    *******************************************************************************/
+   @Override
+   public long count(String table, QQueryFilter filter) throws QException
+   {
+      if(samplePercent == null)
+      {
+         return (super.count(table, filter));
+      }
+      if(JsonUtils.toJson(DrillFilters.copy(filter)).equals(JsonUtils.toJson(populationFilter)))
+      {
+         lastCountShare = ProfileSupport.share(populationRows, populationRows);
+         return (populationRows);
+      }
+      long value = sampledCount(table, filter);
+      aggregateRows = sampledCount(table, populationFilter);
+      lastCountShare = ProfileSupport.share(value, aggregateRows);
+      return (aggregateCount(value));
+   }
+
+   /*******************************************************************************
+    ** Round count estimates only after normalizing by observed sample rows.
+    *******************************************************************************/
+   @Override
+   protected long aggregateCount(long value)
+   {
+      return (samplePercent == null ? value : aggregateRows == 0 ? 0 : BigDecimal.valueOf(value).multiply(BigDecimal.valueOf(populationRows))
+         .divide(BigDecimal.valueOf(aggregateRows), 0, RoundingMode.HALF_UP).longValueExact());
+   }
+
+   /*******************************************************************************
+    ** Keep ratios in sample units, independent of count rounding.
+    *******************************************************************************/
+   @Override
+   protected BigDecimal aggregateShare(long value)
+   {
+      return (samplePercent == null ? null : ProfileSupport.share(value, aggregateRows));
+   }
+
+   /*******************************************************************************
+    ** Conditional groups retain the ratio from their sampled count call.
+    *******************************************************************************/
+   @Override
+   protected BigDecimal countShare()
+   {
+      return (samplePercent == null ? null : lastCountShare);
+   }
+
+   /*******************************************************************************
+    ** Streamed fallbacks also observe native sampling, without binding sampled ids.
+    *******************************************************************************/
+   @Override
+   protected List<QRecord> rows(String table, QQueryFilter filter, Set<String> fields, int limit) throws QException
+   {
+      if(samplePercent == null)
+      {
+         return (super.rows(table, filter, fields, limit));
+      }
+      if(limit == 0 || config.getMaxRows() == 0)
+      {
+         return (List.of());
+      }
+      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter)).withGroupBy(new GroupBy(field(table, primaryKey(table))))
+         .withLimit(Math.min(limit, config.getMaxRows()));
+      fields.stream().filter(f -> !f.equals(primaryKey(table))).forEach(f -> input.withGroupBy(new GroupBy(field(table, f))));
+      List<QRecord> result = new ArrayList<>();
+      for(AggregateResult row : aggregate(input))
+      {
+         QRecord record = new QRecord();
+         row.getGroupByValues().forEach((key, value) -> record.setValue(key.getFieldName(), value));
+         result.add(record);
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Every field batch shares a COUNT denominator from the same sampled call.
+    *******************************************************************************/
+   @Override
+   public Map<String, FieldCounts> fieldCounts(String table, QQueryFilter filter, List<String> fields) throws QException
+   {
+      if(samplePercent == null)
+      {
+         return (super.fieldCounts(table, filter, fields));
+      }
+      Map<String, FieldCounts> result = new LinkedHashMap<>();
+      for(int start = 0; start < fields.size(); start += 20)
+      {
+         List<String> batch = fields.subList(start, Math.min(start + 20, fields.size()));
+         AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
+         for(String field : batch)
+         {
+            input.withAggregate(countOf(field, AggregateOperator.COUNT)).withAggregate(countOf(field, AggregateOperator.COUNT_DISTINCT));
+         }
+         fieldCountAggregates(input, batch);
+         List<String> stringFields = batch.stream().filter(f -> field(table, f).getType().isStringLike()).toList();
+         List<QRecord> records = stringFields.isEmpty() ? List.of() : rows(table, filter, Set.copyOf(stringFields), config.getMaxRows());
+         List<AggregateResult> results = aggregate(input);
+         long seen = aggregateRows;
+         for(String field : batch)
+         {
+            boolean string = field(table, field).getType().isStringLike();
+            long nonNull = results.isEmpty() ? 0 : number(results.getFirst(), field, AggregateOperator.COUNT).longValue();
+            long distinct = results.isEmpty() ? 0 : number(results.getFirst(), field, AggregateOperator.COUNT_DISTINCT).longValue();
+            long blanks = string && capabilities(table).contains(AggregateCapability.NULL_BLANK_COUNTS) && !results.isEmpty()
+               ? number(results.getFirst(), field, AggregateOperator.COUNT_BLANK).longValue() : seen - nonNull;
+            QQueryFilter blankFilter = DrillFilters.nulls(field, string);
+            if(string)
+            {
+               blankFilter = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(blankFilter);
+               for(String blank : records.stream().map(r -> r.getValueString(field)).filter(Objects::nonNull).filter(String::isBlank).distinct().toList())
+               {
+                  blankFilter.withSubFilter(DrillFilters.condition(field, QCriteriaOperator.EQUALS, blank));
+               }
+            }
+            long blankCount = aggregateCount(blanks);
+            BigDecimal completeness = ProfileSupport.share(seen - blanks, seen);
+            if(string && !capabilities(table).contains(AggregateCapability.NULL_BLANK_COUNTS))
+            {
+               blankCount = count(table, DrillFilters.and(filter, blankFilter));
+               completeness = BigDecimal.ONE.subtract(countShare());
+               aggregateRows = seen;
+            }
+            result.put(field, new FieldCounts(aggregateCount(nonNull), aggregateCount(seen - nonNull), blankCount, aggregateCount(distinct),
+               blankFilter, DrillFilters.nonNull(field, string), ProfileSupport.share(distinct, nonNull), completeness, distinct == 1));
+         }
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Add supported counters to the existing twenty-field aggregate batch.
+    *******************************************************************************/
+   @Override
+   protected void fieldCountAggregates(AggregateInput input, List<String> fields) throws QException
+   {
+      if(capabilities(input.getTableName()).contains(AggregateCapability.NULL_BLANK_COUNTS))
+      {
+         for(String name : fields)
+         {
+            input.withAggregate(new Aggregate(name, AggregateOperator.COUNT_NULL));
+            if(field(input.getTableName(), name).getType().isStringLike())
+            {
+               input.withAggregate(new Aggregate(name, AggregateOperator.COUNT_BLANK));
+            }
+         }
+      }
+   }
+
+   /*******************************************************************************
+    ** Read native counters, falling back to the portable predicate counter.
+    *******************************************************************************/
+   @Override
+   protected long fieldCount(String table, QQueryFilter filter, String field, AggregateOperator operator,
+      List<AggregateResult> results, QQueryFilter condition) throws QException
+   {
+      if(capabilities(table).contains(AggregateCapability.NULL_BLANK_COUNTS))
+      {
+         return (results.isEmpty() ? 0 : number(results.getFirst(), field, operator).longValue());
+      }
+      return (super.fieldCount(table, filter, field, operator, results, condition));
+   }
+
+   /*******************************************************************************
+    ** Push each supported statistic, streaming only unavailable operators.
+    *******************************************************************************/
+   @Override
+   protected Map<String, BigDecimal> numericMetrics(String table, QQueryFilter filter, String field, List<BigDecimal> percentiles, List<BigDecimal> values) throws QException
+   {
+      Set<AggregateCapability> supported = capabilities(table);
+      if(!supported.containsAll(Set.of(AggregateCapability.STDDEV, AggregateCapability.PERCENTILE)))
+      {
+         return (partialNumericMetrics(table, filter, field, percentiles, values, supported));
+      }
+      return (nativeNumericMetrics(table, filter, field, percentiles, supported));
+   }
+
+   /*******************************************************************************
+    ** Existing streamed arithmetic supplies only unavailable metrics.
+    *******************************************************************************/
+   private Map<String, BigDecimal> partialNumericMetrics(String table, QQueryFilter filter, String field, List<BigDecimal> percentiles,
+      List<BigDecimal> values, Set<AggregateCapability> supported) throws QException
+   {
+      Map<String, BigDecimal> metrics = super.numericMetrics(table, filter, field, percentiles, values);
+      metrics.putAll(nativeNumericMetrics(table, filter, field, percentiles, supported));
+      return (metrics);
+   }
+
+   /*******************************************************************************
+    ** One aggregate call computes basic moments and all supported extensions.
+    *******************************************************************************/
+   private Map<String, BigDecimal> nativeNumericMetrics(String table, QQueryFilter filter, String field, List<BigDecimal> percentiles,
+      Set<AggregateCapability> supported) throws QException
+   {
+      Map<String, BigDecimal> metrics = new LinkedHashMap<>();
+      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
+      Map<AggregateOperator, String> names = Map.of(AggregateOperator.MIN, "min", AggregateOperator.MAX, "max", AggregateOperator.AVG, "mean", AggregateOperator.SUM, "sum", AggregateOperator.STDDEV_SAMP, "stddev");
+      for(AggregateOperator op : names.keySet())
+      {
+         if(op != AggregateOperator.STDDEV_SAMP || supported.contains(AggregateCapability.STDDEV))
+         {
+            input.withAggregate(new Aggregate(field, op));
+         }
+      }
+      if(supported.contains(AggregateCapability.PERCENTILE))
+      {
+         percentiles.forEach(p -> input.withAggregate(new Aggregate(field, AggregateOperator.PERCENTILE_CONT).withPercentile(p)));
+      }
+      for(AggregateResult row : aggregate(input))
+      {
+         row.getAggregateValues().entrySet().stream().filter(e -> e.getKey().getOperator() != AggregateOperator.COUNT).forEach(entry ->
+         {
+            Aggregate key = entry.getKey();
+            Serializable value = entry.getValue();
+            metrics.put(key.getOperator() == AggregateOperator.PERCENTILE_CONT
+               ? "p" + key.getPercentile().multiply(BigDecimal.valueOf(100)).stripTrailingZeros().toPlainString() : names.get(key.getOperator()),
+               value == null ? null : new BigDecimal(value.toString()));
+         });
+      }
+      return (metrics);
+   }
+
+   /*******************************************************************************
+    ** Convert native bin numbers into identical half-open drill predicates.
+    *******************************************************************************/
+   @Override
+   public List<GroupCount> numericHistogram(String table, QQueryFilter filter, String field, BigDecimal low, BigDecimal high, int bins) throws QException
+   {
+      if(low == null || high == null || low.compareTo(high) >= 0 || !capabilities(table).contains(AggregateCapability.NUMERIC_BUCKET))
+      {
+         return (super.numericHistogram(table, filter, field, low, high, bins));
+      }
+      NiceBins nice = NiceBins.covering(low, high);
+      low = nice.low();
+      high = nice.high();
+      bins = nice.count();
+      GroupBy group = new GroupBy(field(table, field)).withBucket(new NumericBucket(low, high, bins));
+      Map<Serializable, Long> counts = bucketCounts(table, filter, group);
+      List<BigDecimal> values = !estimating && isMemory(table) ? rows(table, filter, Set.of(field), config.getMaxRows()).stream().map(r -> r.getValue(field))
+         .filter(Objects::nonNull).map(v -> new BigDecimal(v.toString())).toList() : List.of();
+      List<GroupCount> result = new ArrayList<>();
+      result.add(new GroupCount(AnalysisFormatting.interval(field(table, field), null, low), AnalysisFormatting.interval(field(table, field), null, low), aggregateCount(counts.getOrDefault(0, 0L)), numericRange(table, field, values, null, low, false), aggregateShare(counts.getOrDefault(0, 0L))));
+      BigDecimal width = high.subtract(low).divide(BigDecimal.valueOf(bins), MathContext.DECIMAL128);
+      for(int i = 0; i < bins; i++)
+      {
+         BigDecimal start = low.add(width.multiply(BigDecimal.valueOf(i)));
+         BigDecimal end = i == bins - 1 ? high : low.add(width.multiply(BigDecimal.valueOf(i + 1)));
+         String label = AnalysisFormatting.interval(field(table, field), start, end);
+         result.add(new GroupCount(label, label, aggregateCount(counts.getOrDefault(i + 1, 0L)), numericRange(table, field, values, start, end, i == bins - 1), aggregateShare(counts.getOrDefault(i + 1, 0L))));
+      }
+      result.add(new GroupCount(AnalysisFormatting.interval(field(table, field), high, null), AnalysisFormatting.interval(field(table, field), high, null), aggregateCount(counts.getOrDefault(bins + 1, 0L)),
+         DrillFilters.and(DrillFilters.condition(field, QCriteriaOperator.IS_NOT_BLANK), DrillFilters.condition(field, QCriteriaOperator.GREATER_THAN, high)), aggregateShare(counts.getOrDefault(bins + 1, 0L))));
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Native dates use the session zone; fill calendar gaps with zero counts.
+    *******************************************************************************/
+   @Override
+   public List<GroupCount> dateBuckets(String table, QQueryFilter filter, String field, DateUnit unit, ZoneId zone) throws QException
+   {
+      if(unit == DateUnit.HOUR || unit == DateUnit.QUARTER)
+      {
+         return (super.dateBuckets(table, filter, field, unit, zone));
+      }
+      GroupBy group = new GroupBy(field(table, field)).withBucket(new DateBucket(DateBucketUnit.valueOf(unit.name())));
+      AggregateInput probe = new AggregateInput(table).withGroupBy(group);
+      if(!new QBackendModuleDispatcher().getQBackendModule(probe.getBackend()).getAggregateInterface().getSupportedCapabilities(probe).contains(AggregateCapability.DATE_BUCKET))
+      {
+         return (super.dateBuckets(table, filter, field, unit, zone));
+      }
+      Map<Serializable, Long> counts = bucketCounts(table, filter, group);
+      if(unit == DateUnit.DAY_OF_WEEK || unit == DateUnit.HOUR_OF_DAY)
+      {
+         long seen = aggregateRows;
+         List<GroupCount> conditions = super.dateBuckets(table, filter, field, unit, zone);
+         aggregateRows = seen;
+         return (conditions.stream()
+            .map(g -> new GroupCount(g.value(), g.label(), aggregateCount(counts.getOrDefault(g.value(), 0L)), g.condition(), aggregateShare(counts.getOrDefault(g.value(), 0L)))).toList());
+      }
+      List<LocalDate> dates = counts.keySet().stream().filter(Objects::nonNull).map(v -> (LocalDate) v).sorted().toList();
+      List<GroupCount> result = new ArrayList<>();
+      if(!dates.isEmpty())
+      {
+         LocalDate start = dates.getFirst();
+         while(!start.isAfter(dates.getLast()))
+         {
+            LocalDate end = next(start, unit);
+            String label = AnalysisFormatting.dateBucket(start, unit, zone);
+            result.add(new GroupCount(start, label, aggregateCount(counts.getOrDefault(start, 0L)),
+               DrillFilters.dateRange(field, start, end, field(table, field).getType() == QFieldType.DATE_TIME, zone), aggregateShare(counts.getOrDefault(start, 0L))));
+            start = end;
+         }
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Length moments are native; the derived length histogram remains streamed.
+    *******************************************************************************/
+   @Override
+   public LengthSummary lengthSummary(String table, QQueryFilter filter, String field) throws QException
+   {
+      LengthSummary streamed = super.lengthSummary(table, filter, field);
+      if(capabilities(table).contains(AggregateCapability.STRING_LENGTH))
+      {
+         AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
+         Map<AggregateOperator, String> names = Map.of(AggregateOperator.MIN_LENGTH, "minLength", AggregateOperator.MAX_LENGTH, "maxLength", AggregateOperator.AVG_LENGTH, "meanLength");
+         names.keySet().forEach(op -> input.withAggregate(new Aggregate(field, op)));
+         for(AggregateResult row : aggregate(input))
+         {
+            row.getAggregateValues().forEach((key, value) ->
+            {
+               if(value != null && names.containsKey(key.getOperator()))
+               {
+                  streamed.metrics().put(names.get(key.getOperator()), new BigDecimal(value.toString()));
+               }
+            });
+         }
+      }
+      return (streamed);
+   }
+
+   /*******************************************************************************
+    ** Bucket result keys retain core's typed date or integer values.
+    *******************************************************************************/
+   private Map<Serializable, Long> bucketCounts(String table, QQueryFilter filter, GroupBy group) throws QException
+   {
+      Map<Serializable, Long> result = new LinkedHashMap<>();
+      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter)).withGroupBy(group)
+         .withAggregate(countOf(primaryKey(table), AggregateOperator.COUNT));
+      for(AggregateResult row : aggregate(input))
+      {
+         result.put(row.getGroupByValues().get(group), number(row, primaryKey(table), AggregateOperator.COUNT).longValue());
+      }
+      return (result);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/CoreTierFieldAccessResolver.java

@@ -0,0 +1,118 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.lang.reflect.Method;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+
+/*******************************************************************************
+ ** Optional core bridge: replace with direct calls once QQQ ships the fieldaccess package.
+ ** Class and method discovery happen once; invocation failures fail closed.
+ *******************************************************************************/
+public class CoreTierFieldAccessResolver implements FieldAnalysisAccessResolver
+{
+   private static final CoreTierFieldAccessResolver DEFAULT = discover();
+   private final Method tier;
+   private final Method fingerprint;
+
+   /*******************************************************************************
+    ** Bind discovered static methods once.
+    *******************************************************************************/
+   public CoreTierFieldAccessResolver(Class<?> helper) throws ReflectiveOperationException
+   {
+      tier = helper.getMethod("getTier", QTableMetaData.class, String.class);
+      Method optional;
+      try
+      {
+         optional = helper.getMethod("getAccessFingerprint");
+      }
+      catch(NoSuchMethodException e)
+      {
+         optional = null;
+      }
+      fingerprint = optional;
+   }
+
+   /*******************************************************************************
+    ** Resolve the optional class once per class loader.
+    *******************************************************************************/
+   private static CoreTierFieldAccessResolver discover()
+   {
+      try
+      {
+         return (new CoreTierFieldAccessResolver(Class.forName("com.kingsrook.qqq.backend.core.actions.permissions.fieldaccess.FieldAccessHelper")));
+      }
+      catch(ClassNotFoundException e)
+      {
+         return (null);
+      }
+      catch(ReflectiveOperationException e)
+      {
+         throw new ExceptionInInitializerError(e);
+      }
+   }
+
+   /*******************************************************************************
+    ** Use legacy locks only when the core helper class is absent.
+    *******************************************************************************/
+   public static FieldAnalysisAccessResolver defaultResolver()
+   {
+      return (DEFAULT == null ? new FieldSecurityLockFieldAccessResolver() : DEFAULT);
+   }
+
+   /*******************************************************************************
+    ** Unknown tiers and invocation failures never grant analysis rights.
+    *******************************************************************************/
+   @Override
+   public FieldAnalysisAccess resolve(QTableMetaData table, QFieldMetaData field)
+   {
+      try
+      {
+         return (switch(String.valueOf(tier.invoke(null, table, field.getName())))
+         {
+            case "FULL" -> FieldAnalysisAccess.FULL;
+            case "REVEALABLE" -> FieldAnalysisAccess.EXACT_MATCH_ONLY;
+            default -> FieldAnalysisAccess.NONE;
+         });
+      }
+      catch(ReflectiveOperationException e)
+      {
+         return (FieldAnalysisAccess.NONE);
+      }
+   }
+
+   /*******************************************************************************
+    ** A broken fingerprint prevents cache reuse rather than returning stale data.
+    *******************************************************************************/
+   @Override
+   public String getAccessFingerprint()
+   {
+      try
+      {
+         return (fingerprint == null ? "" : (String) fingerprint.invoke(null));
+      }
+      catch(ReflectiveOperationException e)
+      {
+         throw new IllegalStateException("Could not resolve field access fingerprint.", e);
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/DistinctValues.java

@@ -34,13 +34,23 @@ import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
 public class DistinctValues
 {
    private final AnalysisBackend backend;
+   private final FieldAnalysisAccessResolver fieldAccess;
 
    /*******************************************************************************
     ** Bind primitive operations.
     *******************************************************************************/
    public DistinctValues(AnalysisBackend backend)
+   {
+      this(backend, CoreTierFieldAccessResolver.defaultResolver());
+   }
+
+   /*******************************************************************************
+    ** Bind the host field policy for possible-value labels.
+    *******************************************************************************/
+   public DistinctValues(AnalysisBackend backend, FieldAnalysisAccessResolver fieldAccess)
    {
       this.backend = backend;
+      this.fieldAccess = fieldAccess;
    }
 
 
@@ -60,7 +70,7 @@ public class DistinctValues
       boolean wholeListing = config.getMinGroupSize() > 0 || request.getSearch() != null && !request.getSearch().isBlank();
       int fetch = wholeListing ? Math.max(1, config.getMaxRows()) : request.getPageSize() + 1;
       List<ValueCount> values = ProfileSupport.values(request.getTableName(), scope.filter(), field,
-         backend.topValues(request.getTableName(), scope.filter(), field.getName(), fetch, wholeListing ? 0 : offset, request.getSearch()), scope.rowsScanned());
+         backend.topValues(request.getTableName(), scope.filter(), field.getName(), fetch, wholeListing ? 0 : offset, request.getSearch()), scope.rowsScanned(), fieldAccess);
       long totalDistinct = wholeListing ? values.stream().filter(v -> v.getValue() != null).count()
          : backend.fieldCounts(request.getTableName(), scope.filter(), List.of(field.getName())).get(field.getName()).distinct();
       values = new MinGroupSizeGuard(config.getMinGroupSize()).groups(values);

src/main/java/com/kingsrook/qbits/dataanalysis/engine/DrillFilters.java

@@ -75,11 +75,63 @@ public final class DrillFilters
     *******************************************************************************/
    public static Drill drill(String table, QQueryFilter original, QQueryFilter condition)
    {
-      return (new Drill().withTableName(table).withFilter(and(original, condition)));
+      QQueryFilter filter = and(original, condition);
+      var instance = com.kingsrook.qqq.backend.core.context.QContext.getQInstance();
+      if(instance != null && "memory".equals(instance.getBackend(instance.getTable(table).getBackendName()).getBackendType()))
+      {
+         filter = memoryTemporalBounds(restoreTypes(table, filter));
+      }
+      return (new Drill().withTableName(table).withFilter(filter));
    }
 
 
 
+   /*******************************************************************************
+    ** Memory's inclusive lower bound uses Java equality, which differs after
+    ** HTTP turns dates into strings. Strict lower bounds avoid that equality.
+    ** Only memory uses this adjustment: SQL timestamp precision may be coarser.
+    *******************************************************************************/
+   private static QQueryFilter memoryTemporalBounds(QQueryFilter filter)
+   {
+      filter.setSubFilters(new java.util.ArrayList<>(filter.getSubFilters()));
+      for(var criterion : new java.util.ArrayList<>(filter.getCriteria()))
+      {
+         if(criterion.getValues() != null && !criterion.getValues().isEmpty()
+            && criterion.getValues().stream().allMatch(v -> v instanceof java.time.Instant || v instanceof LocalDate)
+            && (criterion.getOperator() == QCriteriaOperator.EQUALS || criterion.getOperator() == QCriteriaOperator.IN))
+         {
+            QQueryFilter members = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR);
+            for(Serializable value : criterion.getValues())
+            {
+               members.withSubFilter(range(criterion.getFieldName(), value, value, true));
+            }
+            filter.getCriteria().remove(criterion);
+            filter.withSubFilter(members);
+            continue;
+         }
+         if(criterion.getValues() != null && criterion.getValues().size() == 1)
+         {
+            Serializable value = criterion.getValues().getFirst();
+            if(value instanceof java.time.Instant || value instanceof LocalDate)
+            {
+               Serializable previous = value instanceof java.time.Instant instant ? instant.minusNanos(1) : ((LocalDate) value).minusDays(1);
+               if(criterion.getOperator() == QCriteriaOperator.GREATER_THAN_OR_EQUALS)
+               {
+                  criterion.setOperator(QCriteriaOperator.GREATER_THAN);
+                  criterion.setValues(List.of(previous));
+               }
+               else if(criterion.getOperator() == QCriteriaOperator.LESS_THAN)
+               {
+                  criterion.setOperator(QCriteriaOperator.LESS_THAN_OR_EQUALS);
+                  criterion.setValues(List.of(previous));
+               }
+            }
+         }
+      }
+      filter.getSubFilters().forEach(DrillFilters::memoryTemporalBounds);
+      return (filter);
+   }
+
    /*******************************************************************************
     ** One criterion, including predicates without operands.
     *******************************************************************************/
@@ -116,7 +168,7 @@ public final class DrillFilters
       QQueryFilter result = condition(field, QCriteriaOperator.IS_NOT_BLANK);
       if(string)
       {
-         result.withBooleanOperator(QQueryFilter.BooleanOperator.OR).withCriteria(field, QCriteriaOperator.EQUALS, "");
+         result.withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(emptyString(field));
       }
       return (result);
    }
@@ -128,7 +180,8 @@ public final class DrillFilters
     *******************************************************************************/
    public static QQueryFilter value(String field, Serializable value, boolean string)
    {
-      return (value == null ? nulls(field, string) : condition(field, QCriteriaOperator.EQUALS, value));
+      return (value == null ? nulls(field, string) : "".equals(value) ? emptyString(field)
+         : value instanceof java.time.Instant || value instanceof LocalDate ? range(field, value, value, true) : condition(field, QCriteriaOperator.EQUALS, value));
    }
 
 
@@ -181,11 +234,33 @@ public final class DrillFilters
     *******************************************************************************/
    public static QQueryFilter in(String field, List<? extends Serializable> values)
    {
+      if(values.stream().anyMatch(v -> v instanceof java.time.Instant || v instanceof LocalDate))
+      {
+         QQueryFilter result = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR);
+         values.forEach(value -> result.withSubFilter(range(field, value, value, true)));
+         return (result);
+      }
+      if(values.contains(""))
+      {
+         List<? extends Serializable> nonEmpty = values.stream().filter(v -> !"".equals(v)).toList();
+         return (new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(emptyString(field)).withSubFilter(in(field, nonEmpty)));
+      }
       return (values.isEmpty() ? condition(field, QCriteriaOperator.FALSE) : new QQueryFilter().withCriteria(field, QCriteriaOperator.IN, values));
    }
 
 
 
+   /*******************************************************************************
+    ** Core HTTP interpretation treats empty string operands as missing inputs.
+    ** A zero-length predicate expresses the same set without an empty operand.
+    *******************************************************************************/
+   private static QQueryFilter emptyString(String field)
+   {
+      return (new QQueryFilter().withCriteria(new com.kingsrook.qqq.backend.core.model.actions.tables.query.QFilterCriteria(field, QCriteriaOperator.EQUALS, 0)
+         .withFieldFunction(new com.kingsrook.qqq.backend.core.model.metadata.fields.functions.FieldFunction().withFieldName(field)
+            .withFunctionTypeIdentifier(com.kingsrook.qqq.backend.core.model.metadata.fields.functions.implementations.StringLengthFunction.IDENTIFIER))));
+   }
+
    /*******************************************************************************
     ** JSON has no temporal scalar types. Restore them from current metadata before
     ** a cached drill is handed back to core, without mutating the stored filter.

src/main/java/com/kingsrook/qbits/dataanalysis/engine/DuplicateFinder.java

@@ -51,6 +51,6 @@ public class DuplicateFinder
       return (new DuplicatesResult().withTableName(request.getTableName()).withFields(request.getFields()).withFilter(DrillFilters.copy(request.getFilter()))
          .withRowsScanned(scope.rowsScanned()).withTruncated(scope.truncated()).withAsOf(Instant.now())
          .withGroups(new MinGroupSizeGuard(config.getMinGroupSize()).groups(ProfileSupport.values(request.getTableName(), scope.filter(), null,
-            backend.duplicates(request.getTableName(), scope.filter(), request.getFields(), 50), scope.rowsScanned()))));
+            backend.duplicates(request.getTableName(), scope.filter(), request.getFields(), request.getLimit()), scope.rowsScanned()))));
    }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/engine/EffectiveConfigResolver.java

@@ -65,6 +65,16 @@ public class EffectiveConfigResolver
 
 
 
+   /*******************************************************************************
+    ** The code configuration this resolver starts from.
+    *******************************************************************************/
+   public DataAnalysisQBitConfig getDefaults()
+   {
+      return (defaults);
+   }
+
+
+
    /*******************************************************************************
     ** Return a detached snapshot so callers cannot change memoized policy.
     *******************************************************************************/

src/main/java/com/kingsrook/qbits/dataanalysis/engine/FieldAnalysisAccess.java

@@ -0,0 +1,29 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+/*******************************************************************************
+ ** Analysis access is stricter than the ability to submit an exact query.
+ *******************************************************************************/
+public enum FieldAnalysisAccess
+{
+   FULL, EXACT_MATCH_ONLY, NONE
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/FieldAnalysisAccessResolver.java

@@ -0,0 +1,43 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+
+/*******************************************************************************
+ ** Resolve the current user's analysis rights without exposing protected values.
+ *******************************************************************************/
+public interface FieldAnalysisAccessResolver
+{
+   /*******************************************************************************
+    ** Only FULL fields may contribute generated analysis predicates.
+    *******************************************************************************/
+   FieldAnalysisAccess resolve(QTableMetaData table, QFieldMetaData field);
+
+   /*******************************************************************************
+    ** Optional core policy fingerprint supplements the FULL-field list hash.
+    *******************************************************************************/
+   default String getAccessFingerprint()
+   {
+      return ("");
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/FieldSecurityLockFieldAccessResolver.java

@@ -0,0 +1,42 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import com.kingsrook.qqq.backend.core.actions.permissions.FieldSecurityLockHelper;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+
+/*******************************************************************************
+ ** Legacy lock adapter. The core tier API (qbit-secured-data) will map REVEALABLE
+ ** to EXACT_MATCH_ONLY, MASKED/HIDDEN without filter rights to NONE, and
+ ** MASKED/HIDDEN with filter rights to FULL.
+ *******************************************************************************/
+public class FieldSecurityLockFieldAccessResolver implements FieldAnalysisAccessResolver
+{
+   /*******************************************************************************
+    ** Keep the legacy lock enforcement when core tiers are not installed.
+    *******************************************************************************/
+   @Override
+   public FieldAnalysisAccess resolve(QTableMetaData table, QFieldMetaData field)
+   {
+      return (FieldSecurityLockHelper.isFieldAccessible(field) ? FieldAnalysisAccess.FULL : FieldAnalysisAccess.NONE);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/MetricLabels.java

@@ -0,0 +1,67 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.util.Map;
+import java.util.Objects;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+
+/*******************************************************************************
+ ** One vocabulary for every emitted metric, including date-specific extrema.
+ *******************************************************************************/
+public final class MetricLabels
+{
+   private static final Map<String, String> LABELS = Map.ofEntries(
+      Map.entry("count", "Count"), Map.entry("delta", "Difference"), Map.entry("percentDelta", "Percent change"),
+      Map.entry("psi", "Population stability index"), Map.entry("rowShare", "Row share"), Map.entry("columnShare", "Column share"),
+      Map.entry("rows", "Rows"), Map.entry("nonNull", "Non-empty"), Map.entry("nulls", "Nulls"),
+      Map.entry("blanks", "Blanks"), Map.entry("distinct", "Distinct values"), Map.entry("uniqueness", "Uniqueness"),
+      Map.entry("completeness", "Completeness"), Map.entry("share", "Share"),
+      Map.entry("min", "Minimum"), Map.entry("max", "Maximum"), Map.entry("mean", "Mean"),
+      Map.entry("median", "Median"), Map.entry("stddev", "Standard deviation"), Map.entry("sum", "Sum"),
+      Map.entry("zeros", "Zeros"), Map.entry("negatives", "Negatives"), Map.entry("outliers", "Outliers"),
+      Map.entry("p1", "1st percentile"), Map.entry("p5", "5th percentile"), Map.entry("p25", "25th percentile (Q1)"),
+      Map.entry("p50", "Median"), Map.entry("p75", "75th percentile (Q3)"), Map.entry("p95", "95th percentile"), Map.entry("p99", "99th percentile"),
+      Map.entry("minLength", "Shortest"), Map.entry("maxLength", "Longest"), Map.entry("meanLength", "Average length"),
+      Map.entry("earliest", "Earliest"), Map.entry("latest", "Latest"), Map.entry("range", "Range"),
+      Map.entry("true", "True"), Map.entry("false", "False"), Map.entry("other", "Other"));
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private MetricLabels()
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** Fail at construction when a new metric lacks a human label.
+    *******************************************************************************/
+   public static String label(String key, ValueType type)
+   {
+      if(type == ValueType.DATE || type == ValueType.DATE_TIME)
+      {
+         key = "min".equals(key) ? "earliest" : "max".equals(key) ? "latest" : key;
+      }
+      return (Objects.requireNonNull(LABELS.get(key), "Missing metric label: " + key));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/MinGroupSizeGuard.java

@@ -71,7 +71,7 @@ public class MinGroupSizeGuard
       }
       if(hidden > 0)
       {
-         result.add(new ValueCount().withLabel("Other (" + hidden + " groups below " + minimum + ")").withCount(count).withShare(share));
+         result.add(new ValueCount().withLabel("Other (" + hidden + " groups below " + minimum + ")").withCount(count).withShare(AnalysisFormatting.ratio(share)));
       }
       return (result);
    }
@@ -114,7 +114,7 @@ public class MinGroupSizeGuard
             List<ValueCount> booleanGroups = profile.getBooleans().stream().map(m -> new ValueCount().withValue(m.getKey()).withLabel(m.getLabel())
                .withCount(((Number) m.getValue()).longValue()).withShare(ProfileSupport.share(((Number) m.getValue()).longValue(), rows)).withDrill(m.getDrill())).toList();
             profile.withBooleans(groups(booleanGroups).stream().map(v -> ProfileSupport.metric(v.getValue() == null ? "other" : v.getValue().toString(), v.getCount(),
-               com.kingsrook.qbits.dataanalysis.result.ValueType.COUNT).withLabel(v.getLabel()).withDrill(v.getDrill())).toList());
+               com.kingsrook.qbits.dataanalysis.result.ValueType.COUNT).withDrill(v.getDrill())).toList());
          }
       }
       if(profile.getNumeric() != null)
@@ -143,4 +143,16 @@ public class MinGroupSizeGuard
          profile.getText().withHistogram(groups(profile.getText().getHistogram())).withPatterns(groups(profile.getText().getPatterns()));
       }
    }
+
+   /*******************************************************************************
+    ** Small pivot cells suppress every measure, including count, with no drill.
+    *******************************************************************************/
+   public void pivotMetrics(List<Metric> metrics, long rows)
+   {
+      if(rows < minimum)
+      {
+         metrics.forEach(m -> m.withValue(null).withFormatted(null).withDrill(null).withSuppressed(true)
+            .withSuppressedReason("Hidden: fewer than " + minimum + " records"));
+      }
+   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/engine/NiceBins.java

@@ -0,0 +1,70 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.math.BigDecimal;
+import java.math.RoundingMode;
+import java.util.List;
+
+/*******************************************************************************
+ ** Exact decimal boundaries with a readable step and approximately twenty bins.
+ *******************************************************************************/
+public record NiceBins(BigDecimal low, BigDecimal high, int count)
+{
+   /*******************************************************************************
+    ** Select the closest 10..25-bin enclosure from 1, 2, 2.5 and 5 times powers of ten.
+    *******************************************************************************/
+   public static NiceBins covering(BigDecimal low, BigDecimal high)
+   {
+      return (covering(low, high, 20));
+   }
+
+   /*******************************************************************************
+    ** Choose readable enclosing edges for a requested pivot bin count.
+    *******************************************************************************/
+   public static NiceBins covering(BigDecimal low, BigDecimal high, int target)
+   {
+      BigDecimal span = high.subtract(low);
+      if(span.signum() == 0)
+      {
+         span = low.abs().max(BigDecimal.ONE);
+         low = low.subtract(span.divide(BigDecimal.valueOf(2)));
+         high = high.add(span.divide(BigDecimal.valueOf(2)));
+      }
+      int exponent = span.precision() - span.scale() - Integer.toString(target).length();
+      NiceBins best = null;
+      for(int power = exponent - 2; power <= exponent + 2; power++)
+      {
+         for(String factor : List.of("1", "2", "2.5", "5"))
+         {
+            BigDecimal step = new BigDecimal(factor).scaleByPowerOfTen(power);
+            BigDecimal first = low.divide(step, 0, RoundingMode.FLOOR).multiply(step);
+            BigDecimal last = high.divide(step, 0, RoundingMode.CEILING).multiply(step);
+            int count = last.subtract(first).divide(step).intValueExact();
+            if(count >= Math.max(1, target / 2) && count <= Math.max(2, target * 5 / 4) && (best == null || Math.abs(count - target) < Math.abs(best.count() - target)))
+            {
+               best = new NiceBins(first, last, count);
+            }
+         }
+      }
+      return (java.util.Objects.requireNonNull(best));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/PivotExplorer.java

@@ -0,0 +1,641 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.math.MathContext;
+import java.time.Instant;
+import java.time.LocalDate;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.PivotCell;
+import com.kingsrook.qbits.dataanalysis.result.PivotDimension;
+import com.kingsrook.qbits.dataanalysis.result.PivotHeader;
+import com.kingsrook.qbits.dataanalysis.result.PivotMeasure;
+import com.kingsrook.qbits.dataanalysis.result.PivotMeasureInfo;
+import com.kingsrook.qbits.dataanalysis.result.PivotRequest;
+import com.kingsrook.qbits.dataanalysis.result.PivotResult;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.Aggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateResult;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucket;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucketUnit;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.GroupBy;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.NumericBucket;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.QFilterOrderByAggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryJoin;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+import com.kingsrook.qqq.backend.core.model.metadata.joins.JoinType;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.ExposedJoin;
+import com.kingsrook.qqq.backend.core.utils.ValueUtils;
+import com.kingsrook.qqq.backend.core.utils.aggregates.AggregateAnalysis;
+
+/*******************************************************************************
+ ** Request-local pivot planner. Core executes every aggregate with ENFORCE.
+ ** Merged cells are re-aggregated so non-additive measures remain exact.
+ *******************************************************************************/
+public class PivotExplorer
+{
+   private final AnalysisSecurity security;
+   private final EffectiveConfig config;
+   private final List<QueryJoin> joins = new ArrayList<>();
+   private final LinkedHashSet<String> toManyTables = new LinkedHashSet<>();
+   private final LinkedHashSet<String> multiHopTables = new LinkedHashSet<>();
+   private PivotRequest request;
+   private Aggregate count;
+   private final List<Aggregate> measures = new ArrayList<>();
+   private final List<PivotMeasureInfo> measureInfo = new ArrayList<>();
+   private boolean partial;
+
+   /*******************************************************************************
+    ** Bind the current user's policy and bounded streamed fallback.
+    *******************************************************************************/
+   public PivotExplorer(AnalysisSecurity security, EffectiveConfig config)
+   {
+      this.security = security;
+      this.config = config;
+   }
+
+   /*******************************************************************************
+    ** One slot is a visible group or the exact complement of the kept groups.
+    *******************************************************************************/
+   private record Slot(Serializable value, String label, QQueryFilter condition, boolean other)
+   {
+   }
+
+   /*******************************************************************************
+    ** Dimension state owns predicates, so no generated filter names hidden fields.
+    *******************************************************************************/
+   private record Dimension(GroupBy group, QFieldMetaData field, Map<Serializable, Slot> kept, Map<Serializable, Long> counts, Slot other)
+   {
+      /*******************************************************************************
+       ** Return the kept group, Other, or null for a privacy-suppressed group.
+       *******************************************************************************/
+      Slot slot(Serializable value, int minimum)
+      {
+         return (counts.getOrDefault(value, 0L) < minimum ? null : kept.getOrDefault(value, other));
+      }
+   }
+
+   /*******************************************************************************
+    ** Validate the complete plan before any source computation.
+    *******************************************************************************/
+   public PivotResult execute(PivotRequest request) throws QException
+   {
+      this.request = request;
+      validate();
+      String primaryKey = QContext.getQInstance().getTable(request.getTableName()).getPrimaryKeyField();
+      count = new Aggregate(primaryKey, AggregateOperator.COUNT).withFieldType(QFieldType.INTEGER);
+      List<PivotDimension> requested = new ArrayList<>(request.getRows());
+      requested.addAll(request.getColumns());
+      List<QFieldMetaData> fields = new ArrayList<>();
+      for(PivotDimension dimension : requested)
+      {
+         fields.add(resolve(dimension.getField()));
+      }
+      for(int i = 0; i < request.getValues().size(); i++)
+      {
+         prepareMeasure(request.getValues().get(i), i);
+      }
+      List<Dimension> dimensions = new ArrayList<>();
+      for(int i = 0; i < requested.size(); i++)
+      {
+         dimensions.add(dimension(requested.get(i), fields.get(i)));
+      }
+      int rowCount = request.getRows().size();
+      List<Dimension> rows = dimensions.subList(0, rowCount);
+      List<Dimension> columns = dimensions.subList(rowCount, dimensions.size());
+      PivotResult result = new PivotResult().withAsOf(Instant.now()).withMeasures(measureInfo)
+         .withTruncatedRows(rows.stream().anyMatch(d -> d.other() != null))
+         .withTruncatedColumns(columns.stream().anyMatch(d -> d.other() != null));
+      Map<List<Slot>, List<Metric>> matrix = level(dimensions);
+      Map<List<Slot>, List<Metric>> rowTotals = request.getShowTotals() || config.getMinGroupSize() > 0 ? level(rows) : Map.of();
+      Map<List<Slot>, List<Metric>> columnTotals = request.getShowTotals() || config.getMinGroupSize() > 0 ? level(columns) : Map.of();
+      List<List<Slot>> rowKeys = new ArrayList<>();
+      List<List<Slot>> columnKeys = new ArrayList<>();
+      for(var entry : matrix.entrySet())
+      {
+         List<Slot> row = List.copyOf(entry.getKey().subList(0, rowCount));
+         List<Slot> column = List.copyOf(entry.getKey().subList(rowCount, dimensions.size()));
+         if(config.getMinGroupSize() > 0 && (rowTotals.getOrDefault(row, List.of()).stream().allMatch(m -> m.getSuppressed())
+            || columnTotals.getOrDefault(column, List.of()).stream().allMatch(m -> m.getSuppressed())))
+         {
+            continue;
+         }
+         if(!rowKeys.contains(row))
+         {
+            rowKeys.add(row);
+         }
+         if(!columnKeys.contains(column))
+         {
+            columnKeys.add(column);
+         }
+         result.getCells().add(new PivotCell().withRowIndex(rowKeys.indexOf(row)).withColumnIndex(columnKeys.indexOf(column)).withValues(entry.getValue()));
+      }
+      result.withRowHeaders(headers(rowKeys)).withColumnHeaders(headers(columnKeys));
+      if(request.getShowTotals())
+      {
+         rowKeys.forEach(key -> result.getRowTotals().add(rowTotals.getOrDefault(key, List.of())));
+         columnKeys.forEach(key -> result.getColumnTotals().add(columnTotals.getOrDefault(key, List.of())));
+         result.withGrandTotals(level(List.of()).getOrDefault(List.of(), List.of()));
+      }
+      for(String tableName : toManyTables)
+      {
+         result.getWarnings().add("Counts include one row per related " + QContext.getQInstance().getTable(tableName).getLabel()
+            + "; drill-through is not available for this dimension.");
+      }
+      for(String tableName : multiHopTables)
+      {
+         result.getWarnings().add("Drill-through is not available for fields reached through more than one join (" + QContext.getQInstance().getTable(tableName).getLabel() + ").");
+      }
+      if(config.getMinGroupSize() > 0)
+      {
+         result.getWarnings().add("Groups below " + config.getMinGroupSize() + " records are omitted; small cells and totals are suppressed.");
+      }
+      if(partial)
+      {
+         result.withEstimate(true);
+         result.getWarnings().add("Partial pivot: the streamed row limit was reached. Drills are disabled because aggregates may cover different prefixes.");
+         result.getCells().forEach(c -> disableDrills(c.getValues()));
+         result.getRowTotals().forEach(this::disableDrills);
+         result.getColumnTotals().forEach(this::disableDrills);
+         disableDrills(result.getGrandTotals());
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Reject invalid shapes and types before aggregate execution.
+    *******************************************************************************/
+   private void validate() throws QException
+   {
+      if(request.getRows() == null || request.getRows().isEmpty() || request.getRows().size() > 3
+         || request.getColumns() == null || request.getColumns().size() > 2 || request.getValues() == null
+         || request.getValues().isEmpty() || request.getValues().size() > 6 || request.getShowTotals() == null
+         || request.getLimitGroups() == null || request.getLimitGroups() < 1 || request.getLimitGroups() > 200)
+      {
+         throw new QBadRequestException("Choose 1�3 row dimensions, 0�2 column dimensions, 1�6 measures and a group limit from 1 to 200.");
+      }
+      List<PivotDimension> dimensions = new ArrayList<>(request.getRows());
+      dimensions.addAll(request.getColumns());
+      LinkedHashSet<String> names = new LinkedHashSet<>();
+      for(PivotDimension dimension : dimensions)
+      {
+         if(dimension == null || dimension.getField() == null || !names.add(dimension.getField()))
+         {
+            throw new QBadRequestException("Choose distinct dimension fields.");
+         }
+         QFieldMetaData field = resolve(dimension.getField());
+         var bins = dimension.getNumericBins();
+         if(dimension.getDateBucket() != null && (bins != null || field.getType() != QFieldType.DATE && field.getType() != QFieldType.DATE_TIME)
+            || bins != null && (!numeric(field) || bins.getCount() == null || bins.getCount() < 1 || bins.getCount() > 200
+               || bins.getMin() != null && bins.getMax() != null && bins.getMin().compareTo(bins.getMax()) >= 0))
+         {
+            throw new QBadRequestException("Buckets must match the field type; numeric bins require 1�200 bins and min < max.");
+         }
+      }
+   }
+
+   /*******************************************************************************
+    ** Only exposed, unambiguous paths may introduce a joined field.
+    ** The installed snapshot has no related-record picker join-path helper.
+    *******************************************************************************/
+   private QFieldMetaData resolve(String name) throws QException
+   {
+      if(name == null || !name.contains("."))
+      {
+         return (security.field(request.getTableName(), name));
+      }
+      String[] parts = name.split("\\.", -1);
+      var table = QContext.getQInstance().getTable(request.getTableName());
+      List<ExposedJoin> exposed = table.getExposedJoins() == null ? List.of() : table.getExposedJoins();
+      List<ExposedJoin> paths = exposed.stream().filter(j -> j.getJoinTable().equals(parts[0])).toList();
+      if(parts.length != 2 || paths.size() != 1 || paths.getFirst().getJoinPath() == null || paths.getFirst().getJoinPath().isEmpty())
+      {
+         throw new QBadRequestException("Unknown analysis field.");
+      }
+      String current = table.getName();
+      boolean toOne = true;
+      for(String joinName : paths.getFirst().getJoinPath())
+      {
+         var metadata = QContext.getQInstance().getJoin(joinName);
+         if(metadata == null || !current.equals(metadata.getLeftTable()) && !current.equals(metadata.getRightTable()))
+         {
+            throw new QBadRequestException("Unknown analysis field.");
+         }
+         String next = current.equals(metadata.getLeftTable()) ? metadata.getRightTable() : metadata.getLeftTable();
+         JoinType type = metadata.getType();
+         if(type != null && current.equals(metadata.getRightTable()))
+         {
+            type = type.flip();
+         }
+         toOne &= type == JoinType.MANY_TO_ONE || type == JoinType.ONE_TO_ONE;
+         security.joinedTable(next);
+         QueryJoin existing = joins.stream().filter(j -> next.equals(j.getJoinTable())).findFirst().orElse(null);
+         if(existing == null)
+         {
+            joins.add(new QueryJoin(current, next).withJoinMetaData(metadata));
+         }
+         else if(!existing.getJoinMetaData().getName().equals(joinName))
+         {
+            throw new QBadRequestException("Ambiguous analysis join path.");
+         }
+         current = next;
+      }
+      if(!current.equals(parts[0]))
+      {
+         throw new QBadRequestException("Unknown analysis field.");
+      }
+      if(!toOne)
+      {
+         toManyTables.add(current);
+      }
+      else if(paths.getFirst().getJoinPath().size() > 1)
+      {
+         ///////////////////////////////////////////////////////////////////////////////
+         // counts are per record, but core's implicit joins for a multi-hop filter     //
+         // do not reproduce them on every backend yet (memory counts differ), so no   //
+         // drill until that is fixed in core                                          //
+         ///////////////////////////////////////////////////////////////////////////////
+         multiHopTables.add(current);
+      }
+      return (security.joinedField(parts[0], parts[1]));
+   }
+
+   /*******************************************************************************
+    ** Count records even when a supplied COUNT field is nullable.
+    *******************************************************************************/
+   private void prepareMeasure(PivotMeasure measure, int index) throws QException
+   {
+      if(measure == null || measure.getOperator() == null)
+      {
+         throw new QBadRequestException("Choose a measure operator.");
+      }
+      QFieldMetaData field = measure.getField() == null && measure.getOperator() == PivotMeasure.Operator.COUNT ? null : resolve(measure.getField());
+      PivotMeasure.Operator operator = measure.getOperator();
+      if((operator == PivotMeasure.Operator.SUM || operator == PivotMeasure.Operator.AVG || operator == PivotMeasure.Operator.PERCENTILE) && !numeric(field)
+         || operator == PivotMeasure.Operator.PERCENTILE && (measure.getPercentile() == null || measure.getPercentile().signum() < 0 || measure.getPercentile().compareTo(BigDecimal.ONE) > 0)
+         || operator != PivotMeasure.Operator.PERCENTILE && measure.getPercentile() != null)
+      {
+         throw new QBadRequestException("Numeric measures require a numeric field; percentile must be between 0 and 1.");
+      }
+      Aggregate aggregate = operator == PivotMeasure.Operator.COUNT ? count : new Aggregate(measure.getField(),
+         operator == PivotMeasure.Operator.PERCENTILE ? AggregateOperator.PERCENTILE_CONT : AggregateOperator.valueOf(operator.name()));
+      if(operator == PivotMeasure.Operator.PERCENTILE)
+      {
+         aggregate.withPercentile(measure.getPercentile());
+      }
+      if(operator == PivotMeasure.Operator.COUNT_DISTINCT)
+      {
+         aggregate.withFieldType(QFieldType.INTEGER);
+      }
+      measures.add(aggregate);
+      ValueType type = operator == PivotMeasure.Operator.COUNT || operator == PivotMeasure.Operator.COUNT_DISTINCT ? ValueType.COUNT
+         : numeric(field) ? ValueType.DECIMAL : field.getType() == QFieldType.DATE ? ValueType.DATE : field.getType() == QFieldType.DATE_TIME ? ValueType.DATE_TIME : ValueType.TEXT;
+      measureInfo.add(new PivotMeasureInfo().withKey("value" + index).withLabel(measureLabel(measure, field)).withValueType(type));
+   }
+
+   /*******************************************************************************
+    ** Human measure labels shared by headers, totals and cells.
+    *******************************************************************************/
+   private static String measureLabel(PivotMeasure measure, QFieldMetaData field)
+   {
+      String label = field == null ? "" : field.getLabel();
+      return (switch(measure.getOperator())
+      {
+         case COUNT -> "Count";
+         case AVG -> "Average " + label;
+         case SUM -> "Sum of " + label;
+         case COUNT_DISTINCT -> "Distinct " + label;
+         case MIN -> "Minimum " + label;
+         case MAX -> "Maximum " + label;
+         case PERCENTILE -> measure.getPercentile().compareTo(new BigDecimal("0.5")) == 0 ? "Median " + label
+            : ordinal(measure.getPercentile().multiply(BigDecimal.valueOf(100))) + " percentile of " + label;
+      });
+   }
+
+   /*******************************************************************************
+    ** English ordinal suffixes, including the eleventh through thirteenth.
+    *******************************************************************************/
+   private static String ordinal(BigDecimal value)
+   {
+      int number = value.intValue();
+      String suffix = number % 100 >= 11 && number % 100 <= 13 ? "th" : switch(number % 10)
+      {
+         case 1 -> "st";
+         case 2 -> "nd";
+         case 3 -> "rd";
+         default -> "th";
+      };
+      return (value.stripTrailingZeros().toPlainString() + suffix);
+   }
+
+   /*******************************************************************************
+    ** Numeric buckets and moments accept the same numeric QQQ field types.
+    *******************************************************************************/
+   private static boolean numeric(QFieldMetaData field)
+   {
+      return (field != null && (field.getType() == QFieldType.INTEGER || field.getType() == QFieldType.LONG || field.getType() == QFieldType.DECIMAL));
+   }
+
+   /*******************************************************************************
+    ** Select top groups first, then collect cardinality and privacy counts.
+    *******************************************************************************/
+   private Dimension dimension(PivotDimension requested, QFieldMetaData field) throws QException
+   {
+      GroupBy group = new GroupBy(field.getType(), requested.getField());
+      if(requested.getDateBucket() != null)
+      {
+         group.withBucket(new DateBucket(requested.getDateBucket()));
+      }
+      if(requested.getNumericBins() != null)
+      {
+         var bins = requested.getNumericBins();
+         BigDecimal low = bins.getMin();
+         BigDecimal high = bins.getMax();
+         if(low == null || high == null)
+         {
+            Aggregate min = new Aggregate(requested.getField(), AggregateOperator.MIN);
+            Aggregate max = new Aggregate(requested.getField(), AggregateOperator.MAX);
+            var extrema = aggregate(List.of(), request.getFilter(), List.of(min, max), null);
+            Serializable first = extrema.isEmpty() ? null : extrema.getFirst().getAggregateValues().get(min);
+            Serializable last = extrema.isEmpty() ? null : extrema.getFirst().getAggregateValues().get(max);
+            NiceBins nice = NiceBins.covering(first == null ? BigDecimal.ZERO : new BigDecimal(first.toString()), last == null ? BigDecimal.ONE : new BigDecimal(last.toString()), bins.getCount());
+            low = low == null ? nice.low() : low;
+            high = high == null ? nice.high() : high;
+         }
+         if(low.compareTo(high) >= 0)
+         {
+            throw new QBadRequestException("Numeric bin min must be below max.");
+         }
+         group.withBucket(new NumericBucket(low, high, bins.getCount()));
+      }
+      List<AggregateResult> top = aggregate(List.of(group), request.getFilter(), List.of(count), request.getLimitGroups());
+      List<AggregateResult> all = aggregate(List.of(group), request.getFilter(), List.of(count), null);
+      Map<Serializable, Long> counts = new LinkedHashMap<>();
+      all.forEach(r -> counts.put(r.getGroupByValues().get(group), count(r)));
+      Map<Serializable, Slot> kept = new LinkedHashMap<>();
+      for(AggregateResult row : top)
+      {
+         Serializable value = row.getGroupByValues().get(group);
+         if(count(row) >= config.getMinGroupSize())
+         {
+            kept.put(value, new Slot(value, label(group, field, value), condition(group, field, value), false));
+         }
+      }
+      List<Serializable> remaining = counts.keySet().stream().filter(v -> !kept.containsKey(v) && counts.get(v) >= config.getMinGroupSize()).toList();
+      Slot other = null;
+      if(!remaining.isEmpty())
+      {
+         QQueryFilter predicate;
+         if(group.getBucket() == null && field.getType() != QFieldType.BOOLEAN && config.getMinGroupSize() == 0 && !kept.containsKey("") && kept.keySet().stream().noneMatch(v -> v instanceof Instant || v instanceof LocalDate))
+         {
+            List<Serializable> values = kept.keySet().stream().filter(Objects::nonNull).toList();
+            predicate = values.isEmpty() ? new QQueryFilter() : new QQueryFilter().withCriteria(group.getFieldName(), QCriteriaOperator.NOT_IN, values);
+            predicate = DrillFilters.and(predicate, DrillFilters.nonNull(group.getFieldName(), field.getType().isStringLike()));
+            if(!kept.containsKey(null))
+            {
+               predicate = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(predicate).withSubFilter(DrillFilters.nulls(group.getFieldName(), field.getType().isStringLike()));
+            }
+            if(field.getType().isStringLike())
+            {
+               predicate = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(predicate).withSubFilter(DrillFilters.value(group.getFieldName(), "", true));
+            }
+         }
+         else
+         {
+            predicate = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR);
+            for(Serializable value : remaining)
+            {
+               predicate.withSubFilter(condition(group, field, value));
+            }
+         }
+         other = new Slot(null, "Other (" + remaining.size() + " groups)", predicate, true);
+      }
+      return (new Dimension(group, field, kept, counts, other));
+   }
+
+   /*******************************************************************************
+    ** Native group keys are displayed as labels without changing filter operands.
+    *******************************************************************************/
+   private String label(GroupBy group, QFieldMetaData field, Serializable value) throws QException
+   {
+      if(value == null)
+      {
+         return ("(Blank)");
+      }
+      if(group.getBucket() instanceof DateBucket date)
+      {
+         return (AnalysisFormatting.dateBucket(value, AnalysisBackend.DateUnit.valueOf(date.getUnit().name()), ValueUtils.getSessionOrInstanceZoneId()));
+      }
+      if(group.getBucket() instanceof NumericBucket bins)
+      {
+         BigDecimal[] edges = edges(bins, ((Number) value).intValue());
+         return (AnalysisFormatting.interval(field, edges[0], edges[1]));
+      }
+      return (security.label(field, value));
+   }
+
+   /*******************************************************************************
+    ** Match core's final closed numeric bin and exterior bins.
+    *******************************************************************************/
+   private static BigDecimal[] edges(NumericBucket bins, int index)
+   {
+      BigDecimal width = bins.getMax().subtract(bins.getMin()).divide(BigDecimal.valueOf(bins.getCount()), MathContext.DECIMAL128);
+      return (new BigDecimal[] { index == 0 ? null : index > bins.getCount() ? bins.getMax() : bins.getMin().add(width.multiply(BigDecimal.valueOf(index - 1))),
+         index == 0 ? bins.getMin() : index > bins.getCount() ? null : index == bins.getCount() ? bins.getMax() : bins.getMin().add(width.multiply(BigDecimal.valueOf(index))) });
+   }
+
+   /*******************************************************************************
+    ** Calendar and numeric predicates use core bucket boundaries in the session zone.
+    *******************************************************************************/
+   private QQueryFilter condition(GroupBy group, QFieldMetaData field, Serializable value) throws QException
+   {
+      String name = group.getFieldName();
+      if(value == null || group.getBucket() == null)
+      {
+         return (DrillFilters.value(name, value, field.getType().isStringLike()));
+      }
+      if(group.getBucket() instanceof NumericBucket bins)
+      {
+         int index = ((Number) value).intValue();
+         BigDecimal[] edges = edges(bins, index);
+         if(StandInAnalysisBackend.isMemory(request.getTableName()) && index <= bins.getCount())
+         {
+            GroupBy raw = new GroupBy(field.getType(), name);
+            List<BigDecimal> members = aggregate(List.of(raw), request.getFilter(), List.of(count), null).stream()
+               .map(r -> r.getGroupByValues().get(raw)).filter(Objects::nonNull).map(v -> new BigDecimal(v.toString())).toList();
+            return (new StandInAnalysisBackend(config).numericRange(request.getTableName(), name, members, edges[0], edges[1], index == bins.getCount()));
+         }
+         return (index > bins.getCount() ? DrillFilters.condition(name, QCriteriaOperator.GREATER_THAN, bins.getMax())
+            : DrillFilters.range(name, edges[0], edges[1], index == bins.getCount()));
+      }
+      DateBucketUnit unit = ((DateBucket) group.getBucket()).getUnit();
+      if(unit == DateBucketUnit.HOUR)
+      {
+         Instant start = ValueUtils.getValueAsInstant(value);
+         return (DrillFilters.range(name, start, start.plusSeconds(3600), false));
+      }
+      if(unit == DateBucketUnit.DAY_OF_WEEK || unit == DateBucketUnit.HOUR_OF_DAY)
+      {
+         GroupBy raw = new GroupBy(field.getType(), name);
+         List<Serializable> members = aggregate(List.of(raw), request.getFilter(), List.of(count), null).stream().map(r -> r.getGroupByValues().get(raw))
+            .filter(v -> Objects.equals(AggregateAnalysis.bucket(v, group.getBucket(), ValueUtils.getSessionOrInstanceZoneId()), value)).toList();
+         return (DrillFilters.in(name, members));
+      }
+      LocalDate start = ValueUtils.getValueAsLocalDate(value);
+      LocalDate end = switch(unit)
+      {
+         case YEAR -> start.plusYears(1);
+         case QUARTER -> start.plusMonths(3);
+         case MONTH -> start.plusMonths(1);
+         case WEEK -> start.plusWeeks(1);
+         default -> start.plusDays(1);
+      };
+      return (DrillFilters.dateRange(name, start, end, field.getType() == QFieldType.DATE_TIME, ValueUtils.getSessionOrInstanceZoneId()));
+   }
+
+   /*******************************************************************************
+    ** A level is the full matrix, row totals, column totals or grand totals.
+    *******************************************************************************/
+   private Map<List<Slot>, List<Metric>> level(List<Dimension> dimensions) throws QException
+   {
+      List<Aggregate> requested = new ArrayList<>(measures);
+      if(!requested.contains(count))
+      {
+         requested.add(count);
+      }
+      Map<List<Slot>, List<AggregateResult>> grouped = new LinkedHashMap<>();
+      List<AggregateResult> aggregates = aggregate(dimensions.stream().map(Dimension::group).toList(), request.getFilter(), requested, null);
+      if(dimensions.isEmpty() && aggregates.isEmpty())
+      {
+         AggregateResult empty = new AggregateResult();
+         requested.forEach(a -> empty.withAggregateValue(a, a.getOperator() == AggregateOperator.COUNT || a.getOperator() == AggregateOperator.COUNT_DISTINCT ? 0L : null));
+         aggregates = List.of(empty);
+      }
+      for(AggregateResult row : aggregates)
+      {
+         List<Slot> key = new ArrayList<>();
+         for(Dimension dimension : dimensions)
+         {
+            key.add(dimension.slot(row.getGroupByValues().get(dimension.group()), config.getMinGroupSize()));
+         }
+         if(!key.contains(null))
+         {
+            grouped.computeIfAbsent(key, ignored -> new ArrayList<>()).add(row);
+         }
+      }
+      Map<List<Slot>, List<Metric>> result = new LinkedHashMap<>();
+      for(var entry : grouped.entrySet())
+      {
+         QQueryFilter predicate = new QQueryFilter();
+         entry.getKey().forEach(slot -> predicate.withSubFilter(slot.condition()));
+         AggregateResult row = entry.getValue().getFirst();
+         if(entry.getKey().stream().anyMatch(Slot::other))
+         {
+            var merged = aggregate(List.of(), DrillFilters.and(request.getFilter(), predicate), requested, null);
+            if(merged.isEmpty())
+            {
+               continue;
+            }
+            row = merged.getFirst();
+         }
+         List<Metric> values = new ArrayList<>();
+         for(int i = 0; i < measures.size(); i++)
+         {
+            PivotMeasureInfo info = measureInfo.get(i);
+            Serializable value = row.getAggregateValues().get(measures.get(i));
+            Metric metric = new Metric().withKey(info.getKey()).withLabel(info.getLabel()).withValueType(info.getValueType()).withValue(value)
+               .withFormatted(AnalysisFormatting.scalar(info.getKey(), value, info.getValueType()));
+            if(toManyTables.isEmpty() && multiHopTables.isEmpty())
+            {
+               metric.withDrill(DrillFilters.drill(request.getTableName(), request.getFilter(), predicate));
+            }
+            values.add(metric);
+         }
+         new MinGroupSizeGuard(config.getMinGroupSize()).pivotMetrics(values, count(row));
+         result.put(entry.getKey(), values);
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Count is always present, even when the user selects only non-count measures.
+    *******************************************************************************/
+   private long count(AggregateResult row)
+   {
+      Object value = row.getAggregateValues().get(count);
+      return (value == null ? 0 : ((Number) value).longValue());
+   }
+
+   /*******************************************************************************
+    ** Core owns SQL pushdown, joins, record locks, field locks and bounded fallback.
+    *******************************************************************************/
+   private List<AggregateResult> aggregate(List<GroupBy> groups, QQueryFilter filter, List<Aggregate> aggregates, Integer limit) throws QException
+   {
+      QQueryFilter query = DrillFilters.restoreTypes(request.getTableName(), filter);
+      if(limit != null)
+      {
+         query.withOrderBy(new QFilterOrderByAggregate(count, false));
+      }
+      AggregateInput input = new AggregateInput(request.getTableName()).withFilter(query).withQueryJoins(joins.stream().map(QueryJoin::clone).toList())
+         .withAllowStreamedFallback(true).withStreamedRowLimit(config.getMaxRows()).withLimit(limit);
+      groups.forEach(input::withGroupBy);
+      new LinkedHashSet<>(aggregates).forEach(input::withAggregate);
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      var output = com.kingsrook.qbits.dataanalysis.saved.SqlHandoff.aggregate(input);
+      partial |= output.getTruncated();
+      return (limit == null ? output.getResults() : output.getResults().stream().sorted(java.util.Comparator.comparingLong(this::count).reversed()
+         .thenComparing(r -> String.valueOf(r.getGroupByValues().values()))).limit(limit).toList());
+   }
+
+   /*******************************************************************************
+    ** Header tuples retain typed values; Other is distinguished by its label.
+    *******************************************************************************/
+   private static List<List<PivotHeader>> headers(List<List<Slot>> keys)
+   {
+      return (keys.stream().map(key -> key.stream().map(slot -> new PivotHeader().withValue(slot.value()).withLabel(slot.label())).toList()).toList());
+   }
+
+   /*******************************************************************************
+    ** Partial numbers must never claim an exact drill equivalence.
+    *******************************************************************************/
+   private void disableDrills(List<Metric> metrics)
+   {
+      metrics.forEach(m -> m.withDrill(null).withEstimate(true));
+   }
+}
+

src/main/java/com/kingsrook/qbits/dataanalysis/engine/ProfileSupport.java

@@ -56,7 +56,7 @@ public final class ProfileSupport
     *******************************************************************************/
    public static BigDecimal share(long count, long rows)
    {
-      return (rows == 0 ? BigDecimal.ZERO : BigDecimal.valueOf(count).divide(BigDecimal.valueOf(rows), MathContext.DECIMAL128));
+      return (rows == 0 ? BigDecimal.ZERO : BigDecimal.valueOf(count).divide(BigDecimal.valueOf(rows), 6, java.math.RoundingMode.HALF_UP).stripTrailingZeros());
    }
 
 
@@ -76,15 +76,47 @@ public final class ProfileSupport
     *******************************************************************************/
    public static Metric metric(String key, Serializable value, ValueType type)
    {
-      return (new Metric().withKey(key).withLabel(key).withValue(value).withValueType(type).withFormatted(value == null ? null : value.toString()));
+      if(type == ValueType.PERCENT && value != null)
+      {
+         value = AnalysisFormatting.ratio(new BigDecimal(value.toString()));
+      }
+      return (new Metric().withKey(key).withLabel(MetricLabels.label(key, type)).withValue(value).withValueType(type)
+         .withFormatted(AnalysisFormatting.scalar(key, value, type)));
    }
 
 
 
+   /*******************************************************************************
+    ** The population row total is exact even when other metrics are estimates.
+    *******************************************************************************/
+   public static void markEstimates(List<Metric> metrics)
+   {
+      if(metrics != null)
+      {
+         metrics.stream().filter(m -> !"rows".equals(m.getKey())).forEach(m ->
+         {
+            m.withEstimate(true);
+            if(m.getFormatted() != null)
+            {
+               m.withFormatted("≈ " + m.getFormatted());
+            }
+         });
+      }
+   }
+
    /*******************************************************************************
     ** PVS translations run as the current user; drill values always remain ids.
     *******************************************************************************/
    public static List<ValueCount> values(String table, QQueryFilter filter, QFieldMetaData field, List<AnalysisBackend.GroupCount> groups, long total) throws QException
+   {
+      return (values(table, filter, field, groups, total, CoreTierFieldAccessResolver.defaultResolver()));
+   }
+
+   /*******************************************************************************
+    ** Host field policy applies to related display labels as well as source values.
+    *******************************************************************************/
+   public static List<ValueCount> values(String table, QQueryFilter filter, QFieldMetaData field, List<AnalysisBackend.GroupCount> groups, long total,
+      FieldAnalysisAccessResolver access) throws QException
    {
       List<ValueCount> result = new ArrayList<>();
       for(AnalysisBackend.GroupCount group : groups)
@@ -92,13 +124,13 @@ public final class ProfileSupport
          String label = group.label();
          if(field != null && field.getPossibleValueSourceName() != null && group.value() != null)
          {
-            String translated = AnalysisLabels.translate(field, group.value());
+            String translated = AnalysisLabels.translate(field, group.value(), access);
             if(translated != null)
             {
                label = translated;
             }
          }
-         result.add(new ValueCount().withValue(group.value()).withLabel(label).withCount(group.count()).withShare(share(group.count(), total))
+         result.add(new ValueCount().withValue(group.value()).withLabel(label).withCount(group.count()).withShare(group.share() == null ? share(group.count(), total) : AnalysisFormatting.ratio(group.share()))
             .withDrill(DrillFilters.drill(table, filter, group.condition())));
       }
       return (result);

src/main/java/com/kingsrook/qbits/dataanalysis/engine/RelationshipExplorer.java

@@ -0,0 +1,255 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.math.BigDecimal;
+import java.util.ArrayList;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.result.ChartKind;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationCell;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationRequest;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationResult;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabCell;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabRequest;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabResult;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.PivotHeader;
+import com.kingsrook.qbits.dataanalysis.result.Point;
+import com.kingsrook.qbits.dataanalysis.result.ScatterRequest;
+import com.kingsrook.qbits.dataanalysis.result.ScatterResult;
+import com.kingsrook.qbits.dataanalysis.result.Series;
+import com.kingsrook.qbits.dataanalysis.result.TrendLine;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qbits.dataanalysis.stats.Statistics;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.Aggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Pairwise correlation, bounded scatter samples and guarded contingency tables.
+ *******************************************************************************/
+public class RelationshipExplorer extends RelationshipSupport
+{
+   /*******************************************************************************
+    ** Each operation has its own execution state and policy snapshot.
+    *******************************************************************************/
+   public RelationshipExplorer(AnalysisSecurity security, EffectiveConfig config, String table)
+   {
+      super(security, config, table);
+   }
+
+   /*******************************************************************************
+    ** All unique CORR pairs share one aggregate call, including streamed fallback.
+    ** Pair counts use core CountAction because Aggregate has no per-measure filter.
+    *******************************************************************************/
+   public CorrelationResult correlation(CorrelationRequest request) throws QException
+   {
+      List<String> fields = request.getFields();
+      if(fields == null || fields.size() < 2 || fields.size() > 12 || new LinkedHashSet<>(fields).size() != fields.size())
+      {
+         throw new QBadRequestException("Choose 2 to 12 distinct numeric fields.");
+      }
+      for(String field : fields)
+      {
+         requireNumeric(field);
+      }
+      List<Aggregate> aggregates = new ArrayList<>();
+      for(int i = 0; i < fields.size(); i++)
+      {
+         for(int j = i; j < fields.size(); j++)
+         {
+            aggregates.add(measure(fields.get(i), AggregateOperator.CORR).withOtherFieldName(fields.get(j)));
+         }
+      }
+      var values = summarize(request.getFilter(), aggregates).getAggregateValues();
+      CorrelationResult result = new CorrelationResult().withFields(List.copyOf(fields));
+      List<Series> series = new ArrayList<>();
+      for(int i = 0; i < fields.size(); i++)
+      {
+         String x = fields.get(i);
+         Series row = new Series().withName(x);
+         for(int j = 0; j < fields.size(); j++)
+         {
+            String y = fields.get(j);
+            Aggregate key = measure(fields.get(Math.min(i, j)), AggregateOperator.CORR).withOtherFieldName(fields.get(Math.max(i, j)));
+            BigDecimal value = decimal(values.get(key));
+            long n = size(paired(request.getFilter(), x, y));
+            boolean hidden = n < config.getMinGroupSize();
+            Double r = hidden || n < 2 || value == null ? null : value.doubleValue();
+            result.getCells().add(new CorrelationCell().withXField(x).withYField(y).withN(hidden ? null : n).withR(r)
+               .withScatter(hidden ? null : new ScatterRequest().withTableName(table).withXField(x).withYField(y).withFilter(DrillFilters.copy(request.getFilter()))));
+            row.getPoints().add(new Point().withX(y).withY(r == null ? null : BigDecimal.valueOf(r)).withLabel(x + " / " + y));
+         }
+         series.add(row);
+      }
+      return (result.withChart(chart(ChartKind.HEATMAP, series, "Pearson r; each cell includes its paired non-null count and scatter request.")));
+   }
+
+   /*******************************************************************************
+    ** QueryInput has no sampling API. Fetch the first N paired records by primary
+    ** key as the user, with core-enforced record locks and a maximum of 2,000.
+    *******************************************************************************/
+   public ScatterResult scatter(ScatterRequest request) throws QException
+   {
+      requireNumeric(request.getXField());
+      requireNumeric(request.getYField());
+      if(request.getLimit() == null || request.getLimit() < 1 || request.getLimit() > 2000)
+      {
+         throw new QBadRequestException("Scatter limit must be from 1 to 2000.");
+      }
+      String x = request.getXField();
+      String y = request.getYField();
+      String pk = primaryKey(table);
+      QQueryFilter filter = paired(request.getFilter(), x, y);
+      long n = size(filter);
+      ScatterResult result = new ScatterResult().withN(n).withSampling("First N paired records by primary key").withSampleSize(0);
+      if(n < config.getMinGroupSize())
+      {
+         return (result.withN(null).withChart(chart(ChartKind.SCATTER, List.of(), "Hidden: fewer than " + config.getMinGroupSize() + " paired records.")));
+      }
+      Set<String> selected = new LinkedHashSet<>(List.of(x, y));
+      boolean drill = config.getMinGroupSize() == 0 && security.analyzableFields(table).stream().anyMatch(f -> f.getName().equals(pk));
+      if(drill)
+      {
+         selected.add(pk);
+      }
+      var records = rows(table, filter, selected, request.getLimit());
+      double[] xs = new double[records.size()];
+      double[] ys = new double[records.size()];
+      for(int i = 0; i < records.size(); i++)
+      {
+         var record = records.get(i);
+         BigDecimal xv = decimal(record.getValue(x));
+         BigDecimal yv = decimal(record.getValue(y));
+         xs[i] = xv.doubleValue();
+         ys[i] = yv.doubleValue();
+         result.getPoints().add(new Point().withX(xv).withY(yv).withDrill(drill ? DrillFilters.drill(table, null,
+            DrillFilters.condition(pk, QCriteriaOperator.EQUALS, record.getValue(pk))) : null));
+      }
+      result.withSampleSize(records.size()).withTrend(trend(xs, ys));
+      Series points = new Series().withName("Sample").withPoints(result.getPoints());
+      Series line = new Series().withName("Least-squares trend");
+      if(result.getTrend() != null)
+      {
+         double low = java.util.Arrays.stream(xs).min().orElseThrow();
+         double high = java.util.Arrays.stream(xs).max().orElseThrow();
+         for(double value : new double[] {low, high})
+         {
+            line.getPoints().add(new Point().withX(BigDecimal.valueOf(value)).withY(BigDecimal.valueOf(result.getTrend().getIntercept() + result.getTrend().getSlope() * value)));
+         }
+      }
+      return (result.withChart(chart(ChartKind.SCATTER, List.of(points, line), "Trend describes the displayed sample, not the full population.")));
+   }
+
+   /*******************************************************************************
+    ** Centered least squares remains stable when coordinates have large offsets.
+    *******************************************************************************/
+   private TrendLine trend(double[] x, double[] y)
+   {
+      if(x.length < 2)
+      {
+         return (null);
+      }
+      double meanX = java.util.Arrays.stream(x).average().orElseThrow();
+      double meanY = java.util.Arrays.stream(y).average().orElseThrow();
+      double xx = 0;
+      double xy = 0;
+      for(int i = 0; i < x.length; i++)
+      {
+         xx += (x[i] - meanX) * (x[i] - meanX);
+         xy += (x[i] - meanX) * (y[i] - meanY);
+      }
+      return (xx == 0 ? null : new TrendLine().withSlope(xy / xx).withIntercept(meanY - xy / xx * meanX).withR(Statistics.pearson(x, y)));
+   }
+
+   /*******************************************************************************
+    ** Cell counts include zero combinations. Suppression also removes shares
+    ** that could reconstruct a hidden cell from a known marginal total.
+    *******************************************************************************/
+   public CrosstabResult crosstab(CrosstabRequest request) throws QException
+   {
+      full(request.getRowField());
+      full(request.getColumnField());
+      if(request.getRowField().equals(request.getColumnField()) || request.getLimit() == null || request.getLimit() < 1 || request.getLimit() > 20)
+      {
+         throw new QBadRequestException("Choose distinct crosstab fields and a limit from 1 to 20.");
+      }
+      List<Category> rows = categories(request.getRowField(), request.getFilter(), request.getLimit());
+      List<Category> columns = categories(request.getColumnField(), request.getFilter(), request.getLimit());
+      long[] rowTotals = new long[rows.size()];
+      long[] columnTotals = new long[columns.size()];
+      boolean[] hiddenRows = new boolean[rows.size()];
+      boolean[] hiddenColumns = new boolean[columns.size()];
+      double[][] counts = new double[rows.size()][columns.size()];
+      boolean hidden = false;
+      for(int i = 0; i < rows.size(); i++)
+      {
+         for(int j = 0; j < columns.size(); j++)
+         {
+            long n = size(DrillFilters.and(request.getFilter(), DrillFilters.and(rows.get(i).condition(), columns.get(j).condition())));
+            counts[i][j] = n;
+            rowTotals[i] += n;
+            columnTotals[j] += n;
+            if(n < config.getMinGroupSize())
+            {
+               hidden = true;
+               hiddenRows[i] = true;
+               hiddenColumns[j] = true;
+            }
+         }
+      }
+      CrosstabResult result = new CrosstabResult().withRows(rows.stream().map(c -> new PivotHeader().withValue(c.value()).withLabel(c.label())).toList())
+         .withColumns(columns.stream().map(c -> new PivotHeader().withValue(c.value()).withLabel(c.label())).toList());
+      for(int i = 0; i < rows.size(); i++)
+      {
+         for(int j = 0; j < columns.size(); j++)
+         {
+            long n = (long) counts[i][j];
+            QQueryFilter condition = DrillFilters.and(rows.get(i).condition(), columns.get(j).condition());
+            Metric count = metric("count", n, ValueType.COUNT, request.getFilter(), condition);
+            Metric rowShare = metric("rowShare", ProfileSupport.share(n, rowTotals[i]), ValueType.PERCENT, request.getFilter(), condition);
+            Metric columnShare = metric("columnShare", ProfileSupport.share(n, columnTotals[j]), ValueType.PERCENT, request.getFilter(), condition);
+            List<Metric> metrics = List.of(count, rowShare, columnShare);
+            if(rows.get(i).privateGroup() || columns.get(j).privateGroup())
+            {
+               metrics.forEach(m -> m.withDrill(null));
+               hidden = true;
+            }
+            guard(metrics, n);
+            if(hiddenRows[i])
+            {
+               guard(List.of(rowShare), 0);
+            }
+            if(hiddenColumns[j])
+            {
+               guard(List.of(columnShare), 0);
+            }
+            result.getCells().add(new CrosstabCell().withRowIndex(i).withColumnIndex(j).withCount(count).withRowShare(rowShare).withColumnShare(columnShare));
+         }
+      }
+      return (result.withSignificance(significance(hidden ? Statistics.unavailable("Chi-square independence", "privacy guard") : Statistics.chiSquare(counts, false))));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/RelationshipSupport.java

@@ -0,0 +1,240 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.result.Chart;
+import com.kingsrook.qbits.dataanalysis.result.ChartKind;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.Series;
+import com.kingsrook.qbits.dataanalysis.result.Significance;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qbits.dataanalysis.stats.Statistics;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.Aggregate;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateResult;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.GroupBy;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+
+/*******************************************************************************
+ ** Shared core execution and semantic output for request-local relationships.
+ *******************************************************************************/
+public class RelationshipSupport extends StandInAnalysisBackend
+{
+   protected final AnalysisSecurity security;
+   protected final String table;
+
+   /*******************************************************************************
+    ** A bucket retains exact membership; privacy buckets intentionally lack drills.
+    *******************************************************************************/
+   protected record Category(Serializable value, String label, QQueryFilter condition, boolean privateGroup)
+   {
+   }
+
+   /*******************************************************************************
+    ** Bind the caller's already-authorized table and current policy.
+    *******************************************************************************/
+   public RelationshipSupport(AnalysisSecurity security, EffectiveConfig config, String table)
+   {
+      super(config);
+      this.security = security;
+      this.table = table;
+   }
+
+   /*******************************************************************************
+    ** Core owns pushdown and bounded fallback. Never label a partial test exact.
+    *******************************************************************************/
+   @Override
+   protected List<AggregateResult> aggregate(AggregateInput input) throws QException
+   {
+      input.withFilter(DrillFilters.restoreTypes(table, input.getFilter())).withAllowStreamedFallback(true).withStreamedRowLimit(config.getMaxRows());
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      var output = com.kingsrook.qbits.dataanalysis.saved.SqlHandoff.aggregate(input);
+      if(Boolean.TRUE.equals(output.getTruncated()))
+      {
+         throw new QBadRequestException("Analysis exceeds the streamed row limit; narrow the filter.");
+      }
+      return (output.getResults());
+   }
+
+   /*******************************************************************************
+    ** All named fields, including PVS numerics, must pass the FULL resolver first.
+    *******************************************************************************/
+   protected QFieldMetaData full(String name) throws QException
+   {
+      return (security.field(table, name));
+   }
+
+   /*******************************************************************************
+    ** PVS identifiers are categorical even when their storage type is numeric.
+    *******************************************************************************/
+   protected boolean numeric(QFieldMetaData field)
+   {
+      return (field.getPossibleValueSourceName() == null && List.of(QFieldType.INTEGER, QFieldType.LONG, QFieldType.DECIMAL).contains(field.getType()));
+   }
+
+   /*******************************************************************************
+    ** Reject strings and categorical identifiers before computing relationships.
+    *******************************************************************************/
+   protected void requireNumeric(String name) throws QException
+   {
+      if(!numeric(full(name)))
+      {
+         throw new QBadRequestException("Choose numeric analysis fields.");
+      }
+   }
+
+   /*******************************************************************************
+    ** Typed aggregate keys must match keys returned by all backend implementations.
+    *******************************************************************************/
+   protected Aggregate measure(String field, AggregateOperator operator)
+   {
+      Aggregate aggregate = new Aggregate(field, operator);
+      return (aggregate.withFieldType(com.kingsrook.qqq.backend.core.utils.aggregates.AggregateAnalysis.resultType(aggregate, field(table, field).getType())));
+   }
+
+   /*******************************************************************************
+    ** Scalar summaries have one result; empty populations have null numeric values.
+    *******************************************************************************/
+   protected AggregateResult summarize(QQueryFilter filter, List<Aggregate> measures) throws QException
+   {
+      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
+      measures.forEach(input::withAggregate);
+      List<AggregateResult> results = aggregate(input);
+      return (results.isEmpty() ? new AggregateResult() : results.getFirst());
+   }
+
+   /*******************************************************************************
+    ** Exact row count uses the core count action with the caller's record locks.
+    *******************************************************************************/
+   protected long size(QQueryFilter filter) throws QException
+   {
+      return (count(table, filter));
+   }
+
+   /*******************************************************************************
+    ** Count and scalar drills preserve the caller's original OR predicates.
+    *******************************************************************************/
+   protected Metric metric(String key, Serializable value, ValueType type, QQueryFilter filter, QQueryFilter condition)
+   {
+      return (ProfileSupport.metric(key.startsWith("category") ? type == ValueType.COUNT ? "count" : "share" : key, value, type).withKey(key).withDrill(DrillFilters.drill(table, filter, condition)));
+   }
+
+   /*******************************************************************************
+    ** Apply the stricter cell guard to remove both values and membership drills.
+    *******************************************************************************/
+   protected void guard(List<Metric> metrics, long n)
+   {
+      new MinGroupSizeGuard(config.getMinGroupSize()).pivotMetrics(metrics, n);
+   }
+
+   /*******************************************************************************
+    ** Group identities are typed; null and empty string remain distinct.
+    *******************************************************************************/
+   protected List<Category> categories(String field, QQueryFilter filter, int limit) throws QException
+   {
+      QFieldMetaData metadata = full(field);
+      GroupBy group = new GroupBy(metadata);
+      Aggregate count = measure(primaryKey(table), AggregateOperator.COUNT);
+      List<AggregateResult> groups = new ArrayList<>(aggregate(new AggregateInput(table).withFilter(DrillFilters.copy(filter)).withGroupBy(group).withAggregate(count)));
+      groups.sort(Comparator.<AggregateResult>comparingLong(r -> ((Number) r.getAggregateValues().get(count)).longValue()).reversed()
+         .thenComparing(r -> String.valueOf(r.getGroupByValues().get(group))));
+      List<Category> result = new ArrayList<>();
+      List<Category> other = new ArrayList<>();
+      boolean privacy = false;
+      for(AggregateResult row : groups)
+      {
+         Serializable value = row.getGroupByValues().get(group);
+         long n = ((Number) row.getAggregateValues().get(count)).longValue();
+         boolean hidden = n < config.getMinGroupSize();
+         Category category = new Category(value, hidden ? "Other" : value == null ? "(Blank)" : security.label(metadata, value),
+            DrillFilters.value(field, value, metadata.getType() == QFieldType.STRING), hidden);
+         if(hidden || result.size() >= limit)
+         {
+            other.add(category);
+            privacy |= hidden;
+         }
+         else
+         {
+            result.add(category);
+         }
+      }
+      if(!other.isEmpty())
+      {
+         result.add(merge(other, privacy));
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** An explicit union avoids null-sensitive NOT IN semantics for Other.
+    *******************************************************************************/
+   protected Category merge(List<Category> categories, boolean privacy)
+   {
+      QQueryFilter condition = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR);
+      categories.forEach(c -> condition.withSubFilter(c.condition()));
+      return (new Category(null, "Other", condition, privacy));
+   }
+
+   /*******************************************************************************
+    ** Keep the math package free of QQQ and JSON dependencies.
+    *******************************************************************************/
+   protected Significance significance(Statistics.Result result)
+   {
+      return (new Significance().withTest(result.test()).withStatistic(result.statistic()).withDf(result.df()).withPValue(result.pValue())
+         .withApplicable(result.applicable()).withSentence(result.sentence()).withCramersV(result.cramersV()));
+   }
+
+   /*******************************************************************************
+    ** Scalar conversion preserves null instead of leaking non-finite JSON numbers.
+    *******************************************************************************/
+   protected static BigDecimal decimal(Object value)
+   {
+      return (value == null ? null : new BigDecimal(value.toString()));
+   }
+
+   /*******************************************************************************
+    ** Shared chart shape with a deliberate grouping/stacking annotation.
+    *******************************************************************************/
+   protected Chart chart(ChartKind kind, List<Series> series, String annotation)
+   {
+      return (new Chart().withKind(kind).withSeries(series).withAnnotations(List.of(annotation)));
+   }
+
+   /*******************************************************************************
+    ** Correlation and regression exclude rows missing either numeric coordinate.
+    *******************************************************************************/
+   protected QQueryFilter paired(QQueryFilter filter, String x, String y)
+   {
+      return (DrillFilters.and(filter, DrillFilters.condition(x, QCriteriaOperator.IS_NOT_BLANK).withCriteria(y, QCriteriaOperator.IS_NOT_BLANK)));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/ShiftExplorer.java

@@ -0,0 +1,213 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.engine;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import java.time.Instant;
+import java.time.LocalDate;
+import java.time.ZoneId;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.List;
+import java.util.Map;
+import com.kingsrook.qbits.dataanalysis.result.ChartKind;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.Point;
+import com.kingsrook.qbits.dataanalysis.result.Series;
+import com.kingsrook.qbits.dataanalysis.result.ShiftBucket;
+import com.kingsrook.qbits.dataanalysis.result.ShiftRequest;
+import com.kingsrook.qbits.dataanalysis.result.ShiftResult;
+import com.kingsrook.qbits.dataanalysis.result.ValueType;
+import com.kingsrook.qbits.dataanalysis.stats.Statistics;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucket;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucketUnit;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.GroupBy;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+import com.kingsrook.qqq.backend.core.utils.ValueUtils;
+
+/*******************************************************************************
+ ** Distribution drift with stable categories or fixed baseline quartile bins.
+ *******************************************************************************/
+public class ShiftExplorer extends ComparisonExplorer
+{
+   /*******************************************************************************
+    ** Bind the same core and privacy policy as compare.
+    *******************************************************************************/
+   public ShiftExplorer(AnalysisSecurity security, EffectiveConfig config, String table)
+   {
+      super(security, config, table);
+   }
+
+   /*******************************************************************************
+    ** One calendar bucket with exact boundaries and whether its end has passed.
+    *******************************************************************************/
+   private record Bucket(Serializable start, QQueryFilter condition, boolean complete)
+   {
+   }
+
+   /*******************************************************************************
+    ** First and last complete nonempty buckets define the descriptive PSI.
+    *******************************************************************************/
+   public ShiftResult shift(ShiftRequest request) throws QException
+   {
+      var field = full(request.getField());
+      var date = full(request.getDateField());
+      DateBucketUnit unit;
+      try
+      {
+         unit = DateBucketUnit.valueOf(request.getBucket());
+      }
+      catch(RuntimeException e)
+      {
+         throw new QBadRequestException("Choose a calendar bucket.");
+      }
+      if(!List.of(QFieldType.DATE, QFieldType.DATE_TIME).contains(date.getType()) || unit == DateBucketUnit.DAY_OF_WEEK
+         || unit == DateBucketUnit.HOUR_OF_DAY || unit == DateBucketUnit.HOUR && date.getType() != QFieldType.DATE_TIME)
+      {
+         throw new QBadRequestException("Choose a date field and a calendar bucket from HOUR to YEAR.");
+      }
+      GroupBy group = new GroupBy(date).withBucket(new DateBucket(unit));
+      var aggregate = measure(primaryKey(table), AggregateOperator.COUNT);
+      var grouped = aggregate(new AggregateInput(table).withFilter(DrillFilters.copy(request.getFilter())).withGroupBy(group).withAggregate(aggregate));
+      List<Bucket> buckets = grouped.stream().map(r -> r.getGroupByValues().get(group)).filter(java.util.Objects::nonNull)
+         .sorted(Comparator.comparing(Object::toString)).map(start -> bucket(request.getDateField(), start, unit, date.getType())).toList();
+      if(buckets.size() > 2000)
+      {
+         throw new QBadRequestException("Choose a larger time bucket; at most 2000 buckets are supported.");
+      }
+      ShiftResult result = new ShiftResult();
+      List<Series> series = new ArrayList<>();
+      List<double[]> complete = new ArrayList<>();
+      boolean numeric = numeric(field);
+      List<Category> categories = numeric ? List.of() : categories(request.getField(), request.getFilter(), 8);
+      Map<String, BigDecimal> baseline = null;
+      boolean privateData = false;
+      if(numeric)
+      {
+         for(String name : List.of("p25", "median", "p75"))
+         {
+            series.add(new Series().withName(name));
+         }
+      }
+      else
+      {
+         for(Category category : categories)
+         {
+            series.add(new Series().withName(category.label()));
+         }
+      }
+      for(Bucket bucket : buckets)
+      {
+         QQueryFilter filter = DrillFilters.and(request.getFilter(), bucket.condition());
+         long n = size(filter);
+         ShiftBucket output = new ShiftBucket().withValue(bucket.start()).withLabel(bucket.start().toString()).withComplete(bucket.complete());
+         double[] counts;
+         if(numeric)
+         {
+            Map<String, BigDecimal> moments = moments(request.getField(), filter);
+            long nonNull = moments.get("count").longValue();
+            if(baseline == null && bucket.complete())
+            {
+               baseline = moments;
+            }
+            output.withMetrics(numericSide(request.getField(), output.getLabel(), filter, moments).getMetrics());
+            counts = baseline == null || baseline.get("count").signum() == 0 ? new double[0] : numericCounts(request.getField(), filter, baseline);
+            privateData |= nonNull < config.getMinGroupSize();
+            for(int i = 0; i < series.size(); i++)
+            {
+               String key = series.get(i).getName();
+               Metric metric = output.getMetrics().stream().filter(m -> m.getKey().equals(key)).findFirst().orElseThrow();
+               series.get(i).getPoints().add(new Point().withX(bucket.start()).withY(decimal(metric.getValue())).withDrill(metric.getDrill()));
+            }
+         }
+         else
+         {
+            counts = new double[categories.size()];
+            for(int i = 0; i < categories.size(); i++)
+            {
+               Category category = categories.get(i);
+               long count = size(DrillFilters.and(filter, category.condition()));
+               counts[i] = count;
+               Metric countMetric = metric("category" + i + "Count", count, ValueType.COUNT, filter, category.condition()).withLabel(category.label());
+               Metric share = metric("category" + i + "Share", ProfileSupport.share(count, n), ValueType.PERCENT, filter, category.condition()).withLabel(category.label());
+               List<Metric> metrics = List.of(countMetric, share);
+               guard(metrics, count);
+               if(category.privateGroup())
+               {
+                  metrics.forEach(m -> m.withDrill(null));
+               }
+               privateData |= category.privateGroup() || count < config.getMinGroupSize();
+               output.getMetrics().addAll(metrics);
+               series.get(i).getPoints().add(new Point().withX(bucket.start()).withY(decimal(share.getValue())).withLabel(category.label()).withDrill(share.getDrill()));
+            }
+         }
+         result.getBuckets().add(output);
+         if(bucket.complete())
+         {
+            complete.add(counts);
+         }
+      }
+      Double psi = !privateData && complete.size() >= 2 && java.util.Arrays.stream(complete.getFirst()).sum() >= 2
+         && java.util.Arrays.stream(complete.getLast()).sum() >= 2 ? Statistics.psi(complete.getFirst(), complete.getLast()) : null;
+      result.withPsi(ProfileSupport.metric("psi", psi, ValueType.DECIMAL));
+      result.withSentence(psi == null ? "Not applicable: " + (privateData ? "privacy guard" : "two complete buckets with at least two values are required")
+         : "The first and last complete buckets have a population stability index of " + BigDecimal.valueOf(psi).setScale(3, java.math.RoundingMode.HALF_UP) + ".");
+      return (result.withChart(chart(ChartKind.TIME_SERIES, series, numeric ? "Numeric quartiles; PSI uses fixed first-complete-bucket quartile boundaries."
+         : "Stacked category shares. PSI floors zero shares at 0.000001; it is not a significance test.").withStacked(!numeric)));
+   }
+
+   /*******************************************************************************
+    ** Calendar boundaries use the session zone, including daylight-saving days.
+    *******************************************************************************/
+   private Bucket bucket(String field, Serializable value, DateBucketUnit unit, QFieldType type)
+   {
+      ZoneId zone = ValueUtils.getSessionOrInstanceZoneId();
+      if(unit == DateBucketUnit.HOUR)
+      {
+         Instant start = ValueUtils.getValueAsInstant(value);
+         Instant end = start.plusSeconds(3600);
+         return (new Bucket(start, DrillFilters.range(field, start, end, false), !end.isAfter(Instant.now())));
+      }
+      LocalDate start = ValueUtils.getValueAsLocalDate(value);
+      LocalDate end = next(start, DateUnit.valueOf(unit.name()));
+      return (new Bucket(start, DrillFilters.dateRange(field, start, end, type == QFieldType.DATE_TIME, zone), !end.atStartOfDay(zone).toInstant().isAfter(Instant.now())));
+   }
+
+   /*******************************************************************************
+    ** Both populations use identical, half-open quartile ranges with infinite tails.
+    *******************************************************************************/
+   private double[] numericCounts(String field, QQueryFilter filter, Map<String, BigDecimal> baseline) throws QException
+   {
+      BigDecimal[] edges = {null, baseline.get("p25"), baseline.get("p50"), baseline.get("p75"), null};
+      double[] counts = new double[4];
+      for(int i = 0; i < 4; i++)
+      {
+         counts[i] = size(DrillFilters.and(filter, DrillFilters.range(field, edges[i], edges[i + 1], false)));
+      }
+      return (counts);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/engine/StandInAnalysisBackend.java

@@ -38,7 +38,6 @@ import java.util.Objects;
 import java.util.Set;
 import java.util.function.Function;
 import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
-import com.kingsrook.qqq.backend.core.actions.tables.AggregateAction;
 import com.kingsrook.qqq.backend.core.actions.tables.CountAction;
 import com.kingsrook.qqq.backend.core.actions.tables.QueryAction;
 import com.kingsrook.qqq.backend.core.context.QContext;
@@ -68,7 +67,8 @@ import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
 public class StandInAnalysisBackend implements AnalysisBackend
 {
    private static final MathContext MATH = MathContext.DECIMAL128;
-   private final EffectiveConfig config;
+   protected final EffectiveConfig config;
+   protected boolean estimating;
 
    /*******************************************************************************
     ** Bind one request's detached configuration.
@@ -94,13 +94,14 @@ public class StandInAnalysisBackend implements AnalysisBackend
 
 
    /*******************************************************************************
-    ** A boundary query selects the prefix retained in every drill.
+    ** A single boundary parameter bounds the prefix used for computation.
     *******************************************************************************/
    @Override
    public Scope scope(String table, QQueryFilter filter, boolean exact) throws QException
    {
       long total = count(table, filter);
-      boolean estimate = !exact && total > config.getSampleThresholdRows();
+      boolean estimate = !exact && total > config.getSampleThresholdRows() && total > Math.min(config.getSampleRows(), config.getMaxRows());
+      estimating = estimate;
       int limit = estimate ? Math.min(config.getSampleRows(), config.getMaxRows()) : config.getMaxRows();
       QQueryFilter scoped = DrillFilters.copy(filter);
       if(total > limit)
@@ -108,7 +109,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
          String pk = primaryKey(table);
          if(limit == 0)
          {
-            scoped = DrillFilters.and(scoped, DrillFilters.in(pk, List.of()));
+            scoped = DrillFilters.and(scoped, DrillFilters.condition(pk, QCriteriaOperator.IS_BLANK));
          }
          else
          {
@@ -141,7 +142,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Bound both page size and retained records.
     *******************************************************************************/
-   private List<QRecord> rows(String table, QQueryFilter filter, Set<String> fields, int limit) throws QException
+   protected List<QRecord> rows(String table, QQueryFilter filter, Set<String> fields, int limit) throws QException
    {
       List<QRecord> records = new ArrayList<>();
       int bound = Math.min(limit, config.getMaxRows());
@@ -163,13 +164,13 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Core applies table permissions, field locks and record locks.
     *******************************************************************************/
-   private List<AggregateResult> aggregate(AggregateInput input) throws QException
+   protected List<AggregateResult> aggregate(AggregateInput input) throws QException
    {
       QQueryFilter restored = DrillFilters.restoreTypes(input.getTableName(), input.getFilter());
       restored.setOrderBys(input.getFilter().getOrderBys());
       input.setFilter(restored);
       input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
-      return (new AggregateAction().execute(input).getResults());
+      return (com.kingsrook.qbits.dataanalysis.saved.SqlHandoff.aggregate(input).getResults());
    }
 
 
@@ -191,6 +192,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
          {
             input.withAggregate(countOf(field, AggregateOperator.COUNT)).withAggregate(countOf(field, AggregateOperator.COUNT_DISTINCT));
          }
+         fieldCountAggregates(input, batch);
          List<AggregateResult> aggregates = aggregate(input);
          Set<String> selection = new LinkedHashSet<>(batch);
          selection.add(primaryKey(table));
@@ -198,7 +200,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
          for(String field : batch)
          {
             boolean string = field(table, field).getType().isStringLike();
-            long nulls = count(table, DrillFilters.and(filter, DrillFilters.nulls(field, string)));
+            long nulls = fieldCount(table, filter, field, AggregateOperator.COUNT_NULL, aggregates, DrillFilters.nulls(field, string));
             Map<Serializable, Serializable> representatives = new LinkedHashMap<>();
             Set<Serializable> blanks = new LinkedHashSet<>();
             for(QRecord record : records)
@@ -220,12 +222,12 @@ public class StandInAnalysisBackend implements AnalysisBackend
                   .withSubFilter(DrillFilters.in(field, new ArrayList<>(blanks)));
             }
             long distinct = aggregates.isEmpty() ? 0 : number(aggregates.getFirst(), field, AggregateOperator.COUNT_DISTINCT).longValue();
-            if(isMemory(table) && field(table, field).getType() == QFieldType.DECIMAL)
+            if(!estimating && isMemory(table) && field(table, field).getType() == QFieldType.DECIMAL)
             {
                distinct = representatives.size();
             }
-            result.put(field, new FieldCounts(total - nulls, nulls, string ? count(table, DrillFilters.and(filter, blankFilter)) : nulls,
-               distinct, blankFilter, DrillFilters.in(primaryKey(table), new ArrayList<>(representatives.values()))));
+            result.put(field, new FieldCounts(total - nulls, nulls, string ? fieldCount(table, filter, field, AggregateOperator.COUNT_BLANK, aggregates, blankFilter) : nulls,
+               distinct, blankFilter, estimating ? DrillFilters.nonNull(field, string) : DrillFilters.in(primaryKey(table), new ArrayList<>(representatives.values()))));
          }
       }
       return (result);
@@ -233,6 +235,23 @@ public class StandInAnalysisBackend implements AnalysisBackend
 
 
 
+   /*******************************************************************************
+    ** Subclasses may extend the existing batch with native null/blank counts.
+    *******************************************************************************/
+   protected void fieldCountAggregates(AggregateInput input, List<String> fields) throws QException
+   {
+      // The portable backend counts null and blank predicates separately.
+   }
+
+   /*******************************************************************************
+    ** Count the exact drill predicate when native counters are unavailable.
+    *******************************************************************************/
+   protected long fieldCount(String table, QQueryFilter filter, String field, AggregateOperator operator,
+      List<AggregateResult> results, QQueryFilter condition) throws QException
+   {
+      return (count(table, DrillFilters.and(filter, condition)));
+   }
+
    /*******************************************************************************
     ** Push down group, count, ordering and pagination.
     *******************************************************************************/
@@ -254,6 +273,30 @@ public class StandInAnalysisBackend implements AnalysisBackend
 
 
 
+   /*******************************************************************************
+    ** Random backends scale a count using the current aggregate's sample size.
+    *******************************************************************************/
+   protected long aggregateCount(long value)
+   {
+      return (value);
+   }
+
+   /*******************************************************************************
+    ** Random backends retain the raw sample ratio before rounding counts.
+    *******************************************************************************/
+   protected BigDecimal aggregateShare(long value)
+   {
+      return (null);
+   }
+
+   /*******************************************************************************
+    ** Exact and prefix groups derive shares from the profiler's row count.
+    *******************************************************************************/
+   protected BigDecimal countShare()
+   {
+      return (null);
+   }
+
    /*******************************************************************************
     ** Tuple drills use IN for non-null values and null-only predicates otherwise.
     *******************************************************************************/
@@ -270,7 +313,8 @@ public class StandInAnalysisBackend implements AnalysisBackend
       Map<Serializable, GroupCount> merged = new LinkedHashMap<>();
       for(AggregateResult row : aggregate(input))
       {
-         long size = number(row, primaryKey(table), AggregateOperator.COUNT).longValue();
+         long rawSize = number(row, primaryKey(table), AggregateOperator.COUNT).longValue();
+         long size = aggregateCount(rawSize);
          LinkedHashMap<String, Serializable> tuple = new LinkedHashMap<>();
          QQueryFilter condition = new QQueryFilter();
          for(String field : fields)
@@ -278,7 +322,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
             Serializable value = row.getGroupByValues().entrySet().stream().filter(e -> field.equals(e.getKey().getFieldName())).findFirst().orElseThrow().getValue();
             tuple.put(field, value instanceof BigDecimal d ? new BigDecimal(d.stripTrailingZeros().toPlainString()) : value);
             condition.withSubFilter(value == null ? DrillFilters.nulls(field, field(table, field).getType().isStringLike())
-               : value instanceof BigDecimal ? DrillFilters.in(field, List.of(value.toString()))
+               : value instanceof BigDecimal && !estimating ? DrillFilters.in(field, List.of(value.toString()))
                : duplicates ? DrillFilters.in(field, List.of(value)) : DrillFilters.value(field, value, field(table, field).getType().isStringLike()));
          }
          Serializable value = duplicates ? tuple : tuple.get(fields.getFirst());
@@ -288,7 +332,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
             size += previous.count();
             condition = new QQueryFilter().withBooleanOperator(QQueryFilter.BooleanOperator.OR).withSubFilter(previous.condition()).withSubFilter(condition);
          }
-         merged.put(value, new GroupCount(value, value == null ? "(null)" : value.toString(), size, condition));
+         merged.put(value, new GroupCount(value, value == null ? "(null)" : value.toString(), size, condition, aggregateShare(rawSize)));
       }
       List<GroupCount> groups = new ArrayList<>(merged.values());
       if(isMemory(table))
@@ -308,14 +352,8 @@ public class StandInAnalysisBackend implements AnalysisBackend
    {
       List<BigDecimal> values = rows(table, filter, Set.of(field), config.getMaxRows()).stream().map(r -> r.getValue(field))
          .filter(Objects::nonNull).map(v -> new BigDecimal(v.toString())).sorted().toList();
-      Map<String, BigDecimal> metrics = new LinkedHashMap<>();
-      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
-      for(AggregateOperator op : List.of(AggregateOperator.MIN, AggregateOperator.MAX, AggregateOperator.AVG, AggregateOperator.SUM))
-      {
-         input.withAggregate(new Aggregate(field, op));
-      }
-      List<AggregateResult> results = aggregate(input);
-      if(values.isEmpty())
+      Map<String, BigDecimal> metrics = numericMetrics(table, filter, field, percentiles, values);
+      if(metrics.isEmpty() || metrics.get("min") == null)
       {
          for(String key : List.of("min", "max", "mean", "stddev", "sum"))
          {
@@ -325,23 +363,12 @@ public class StandInAnalysisBackend implements AnalysisBackend
          {
             metrics.put("p" + p.multiply(BigDecimal.valueOf(100)).stripTrailingZeros().toPlainString(), null);
          }
-         QQueryFilter empty = DrillFilters.in(primaryKey(table), List.of());
-         return (new NumericSummary(metrics, List.of(), 0, empty, List.of(new GroupCount("zeros", "zeros", 0, empty), new GroupCount("negatives", "negatives", 0, empty))));
+         QQueryFilter empty = DrillFilters.condition(primaryKey(table), QCriteriaOperator.IS_BLANK);
+         return (new NumericSummary(metrics, List.of(), 0, empty, List.of(new GroupCount("zeros", "zeros", 0, estimating ? DrillFilters.condition(field, QCriteriaOperator.EQUALS, BigDecimal.ZERO) : empty),
+            new GroupCount("negatives", "negatives", 0, estimating ? DrillFilters.range(field, null, BigDecimal.ZERO, false) : empty))));
       }
-      AggregateResult result = results.getFirst();
-      metrics.put("min", number(result, field, AggregateOperator.MIN));
-      metrics.put("max", number(result, field, AggregateOperator.MAX));
-      metrics.put("mean", number(result, field, AggregateOperator.AVG));
-      metrics.put("sum", number(result, field, AggregateOperator.SUM));
-      BigDecimal mean = values.stream().reduce(BigDecimal.ZERO, BigDecimal::add).divide(BigDecimal.valueOf(values.size()), MATH);
-      BigDecimal variance = values.stream().map(v -> v.subtract(mean).pow(2)).reduce(BigDecimal.ZERO, BigDecimal::add);
-      metrics.put("stddev", values.size() < 2 ? null : variance.divide(BigDecimal.valueOf(values.size() - 1), MATH).sqrt(MATH));
-      for(BigDecimal p : percentiles)
-      {
-         metrics.put("p" + p.multiply(BigDecimal.valueOf(100)).stripTrailingZeros().toPlainString(), percentile(values, p));
-      }
-      BigDecimal q1 = percentile(values, new BigDecimal("0.25"));
-      BigDecimal q3 = percentile(values, new BigDecimal("0.75"));
+      BigDecimal q1 = metrics.containsKey("p25") ? metrics.get("p25") : percentile(values, new BigDecimal("0.25"));
+      BigDecimal q3 = metrics.containsKey("p75") ? metrics.get("p75") : percentile(values, new BigDecimal("0.75"));
       BigDecimal span = q3.subtract(q1).multiply(new BigDecimal("1.5"));
       BigDecimal low = q1.subtract(span);
       BigDecimal high = q3.add(span);
@@ -355,10 +382,10 @@ public class StandInAnalysisBackend implements AnalysisBackend
       List<GroupCount> extremeGroups = new ArrayList<>();
       for(BigDecimal value : extremes)
       {
-         QQueryFilter condition = DrillFilters.in(field, equalNumbers(values, value));
-         extremeGroups.add(new GroupCount(value, value.toPlainString(), count(table, DrillFilters.and(filter, condition)), condition));
+         QQueryFilter condition = estimating ? DrillFilters.condition(field, QCriteriaOperator.EQUALS, value) : DrillFilters.in(field, equalNumbers(values, value));
+         extremeGroups.add(new GroupCount(value, value.toPlainString(), count(table, DrillFilters.and(filter, condition)), condition, countShare()));
       }
-      QQueryFilter zeros = DrillFilters.in(field, equalNumbers(values, BigDecimal.ZERO));
+      QQueryFilter zeros = estimating ? DrillFilters.condition(field, QCriteriaOperator.EQUALS, BigDecimal.ZERO) : DrillFilters.in(field, equalNumbers(values, BigDecimal.ZERO));
       QQueryFilter negatives = numericRange(table, field, values, null, BigDecimal.ZERO, false);
       return (new NumericSummary(metrics, extremeGroups, count(table, DrillFilters.and(filter, outliers)), outliers,
          List.of(bucket(table, filter, "zeros", zeros), bucket(table, filter, "negatives", negatives))));
@@ -366,6 +393,39 @@ public class StandInAnalysisBackend implements AnalysisBackend
 
 
 
+   /*******************************************************************************
+    ** Portable numeric moments; core-backed subclasses replace supported work.
+    *******************************************************************************/
+   protected Map<String, BigDecimal> numericMetrics(String table, QQueryFilter filter, String field, List<BigDecimal> percentiles, List<BigDecimal> values) throws QException
+   {
+      Map<String, BigDecimal> metrics = new LinkedHashMap<>();
+      if(values.isEmpty())
+      {
+         return (metrics);
+      }
+      AggregateInput input = new AggregateInput(table).withFilter(DrillFilters.copy(filter));
+      for(AggregateOperator op : List.of(AggregateOperator.MIN, AggregateOperator.MAX, AggregateOperator.AVG, AggregateOperator.SUM))
+      {
+         input.withAggregate(new Aggregate(field, op));
+      }
+      List<AggregateResult> results = aggregate(input);
+      AggregateResult result = results.getFirst();
+      metrics.put("min", number(result, field, AggregateOperator.MIN));
+      metrics.put("max", number(result, field, AggregateOperator.MAX));
+      metrics.put("mean", number(result, field, AggregateOperator.AVG));
+      metrics.put("sum", number(result, field, AggregateOperator.SUM));
+      BigDecimal mean = values.stream().reduce(BigDecimal.ZERO, BigDecimal::add).divide(BigDecimal.valueOf(values.size()), MATH);
+      BigDecimal variance = values.stream().map(v -> v.subtract(mean).pow(2)).reduce(BigDecimal.ZERO, BigDecimal::add);
+      metrics.put("stddev", values.size() < 2 ? null : variance.divide(BigDecimal.valueOf(values.size() - 1), MATH).sqrt(MATH));
+      for(BigDecimal p : percentiles)
+      {
+         metrics.put("p" + p.multiply(BigDecimal.valueOf(100)).stripTrailingZeros().toPlainString(), percentile(values, p));
+      }
+      return (metrics);
+   }
+
+
+
    /*******************************************************************************
     ** PostgreSQL percentile_cont interpolation at p * (n - 1).
     *******************************************************************************/
@@ -394,17 +454,21 @@ public class StandInAnalysisBackend implements AnalysisBackend
       {
          return (result);
       }
+      NiceBins nice = NiceBins.covering(low, high);
+      low = nice.low();
+      high = nice.high();
+      bins = nice.count();
       List<BigDecimal> values = rows(table, filter, Set.of(field), config.getMaxRows()).stream().map(r -> r.getValue(field))
          .filter(Objects::nonNull).map(v -> new BigDecimal(v.toString())).toList();
-      result.add(bucket(table, filter, "Below " + low, numericRange(table, field, values, null, low, false)));
+      result.add(bucket(table, filter, AnalysisFormatting.interval(field(table, field), null, low), numericRange(table, field, values, null, low, false)));
       BigDecimal width = high.subtract(low).divide(BigDecimal.valueOf(bins), MATH);
       for(int i = 0; i < bins; i++)
       {
          BigDecimal start = low.add(width.multiply(BigDecimal.valueOf(i)));
          BigDecimal end = i == bins - 1 ? high : low.add(width.multiply(BigDecimal.valueOf(i + 1)));
-         result.add(bucket(table, filter, "[" + start + ", " + end + (i == bins - 1 ? "]" : ")"), numericRange(table, field, values, start, end, i == bins - 1)));
+         result.add(bucket(table, filter, AnalysisFormatting.interval(field(table, field), start, end), numericRange(table, field, values, start, end, i == bins - 1)));
       }
-      result.add(bucket(table, filter, "Above " + high, DrillFilters.and(DrillFilters.condition(field, QCriteriaOperator.IS_NOT_BLANK), DrillFilters.condition(field, QCriteriaOperator.GREATER_THAN, high))));
+      result.add(bucket(table, filter, AnalysisFormatting.interval(field(table, field), high, null), DrillFilters.and(DrillFilters.condition(field, QCriteriaOperator.IS_NOT_BLANK), DrillFilters.condition(field, QCriteriaOperator.GREATER_THAN, high))));
       return (result);
    }
 
@@ -415,7 +479,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
     *******************************************************************************/
    private GroupCount bucket(String table, QQueryFilter filter, String label, QQueryFilter condition) throws QException
    {
-      return (new GroupCount(label, label, count(table, DrillFilters.and(filter, condition)), condition));
+      return (new GroupCount(label, label, count(table, DrillFilters.and(filter, condition)), condition, countShare()));
    }
 
 
@@ -430,7 +494,26 @@ public class StandInAnalysisBackend implements AnalysisBackend
       if(unit == DateUnit.DAY_OF_WEEK || unit == DateUnit.HOUR_OF_DAY)
       {
          return (mappedGroups(table, filter, field, records, v -> unit == DateUnit.DAY_OF_WEEK ? day(v, zone).getDayOfWeek().getValue()
-            : ((Instant) v).atZone(zone).getHour(), 24));
+            : ((Instant) v).atZone(zone).getHour(), 24).stream()
+            .map(g -> new GroupCount(g.value(), AnalysisFormatting.dateBucket(g.value(), unit, zone), g.count(), g.condition(), g.share())).toList());
+      }
+      if(unit == DateUnit.HOUR)
+      {
+         List<Instant> instants = records.stream().map(r -> (Instant) r.getValue(field)).filter(Objects::nonNull).sorted().toList();
+         List<GroupCount> hours = new ArrayList<>();
+         if(!instants.isEmpty())
+         {
+            Instant start = instants.getFirst().atZone(zone).truncatedTo(java.time.temporal.ChronoUnit.HOURS).toInstant();
+            while(!start.isAfter(instants.getLast()))
+            {
+               Instant end = start.plus(1, java.time.temporal.ChronoUnit.HOURS);
+               QQueryFilter condition = DrillFilters.and(DrillFilters.condition(field, QCriteriaOperator.GREATER_THAN_OR_EQUALS, start),
+                  DrillFilters.condition(field, QCriteriaOperator.LESS_THAN, end));
+               hours.add(new GroupCount(start, AnalysisFormatting.dateBucket(start, unit, zone), count(table, DrillFilters.and(filter, condition)), condition, countShare()));
+               start = end;
+            }
+         }
+         return (hours);
       }
       List<LocalDate> dates = records.stream().map(r -> r.getValue(field)).filter(Objects::nonNull).map(v -> day(v, zone)).sorted().toList();
       List<GroupCount> result = new ArrayList<>();
@@ -443,7 +526,8 @@ public class StandInAnalysisBackend implements AnalysisBackend
       while(!start.isAfter(last))
       {
          LocalDate end = next(start, unit);
-         result.add(bucket(table, filter, start + " / " + end, DrillFilters.dateRange(field, start, end, field(table, field).getType() == QFieldType.DATE_TIME, zone)));
+         QQueryFilter condition = DrillFilters.dateRange(field, start, end, field(table, field).getType() == QFieldType.DATE_TIME, zone);
+         result.add(new GroupCount(start, AnalysisFormatting.dateBucket(start, unit, zone), count(table, DrillFilters.and(filter, condition)), condition, countShare()));
          start = end;
       }
       return (result);
@@ -464,12 +548,13 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** ISO weeks begin Monday.
     *******************************************************************************/
-   private static LocalDate floor(LocalDate date, DateUnit unit)
+   protected static LocalDate floor(LocalDate date, DateUnit unit)
    {
       return (switch(unit)
       {
          case WEEK -> date.with(TemporalAdjusters.previousOrSame(DayOfWeek.MONDAY));
          case MONTH -> date.withDayOfMonth(1);
+         case QUARTER -> date.withMonth((date.getMonthValue() - 1) / 3 * 3 + 1).withDayOfMonth(1);
          case YEAR -> date.withDayOfYear(1);
          default -> date;
       });
@@ -480,12 +565,13 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Calendar arithmetic handles leap years and daylight savings.
     *******************************************************************************/
-   private static LocalDate next(LocalDate date, DateUnit unit)
+   protected static LocalDate next(LocalDate date, DateUnit unit)
    {
       return (switch(unit)
       {
          case WEEK -> date.plusWeeks(1);
          case MONTH -> date.plusMonths(1);
+         case QUARTER -> date.plusMonths(3);
          case YEAR -> date.plusYears(1);
          default -> date.plusDays(1);
       });
@@ -506,7 +592,13 @@ public class StandInAnalysisBackend implements AnalysisBackend
       result.put("max", null);
       for(AggregateResult row : aggregate(input))
       {
-         row.getAggregateValues().forEach((key, value) -> result.put(key.getOperator().name().toLowerCase(java.util.Locale.ROOT), value));
+         row.getAggregateValues().forEach((key, value) ->
+         {
+            if(key.getOperator() == AggregateOperator.MIN || key.getOperator() == AggregateOperator.MAX)
+            {
+               result.put(key.getOperator().name().toLowerCase(java.util.Locale.ROOT), value);
+            }
+         });
       }
       return (result);
    }
@@ -538,12 +630,14 @@ public class StandInAnalysisBackend implements AnalysisBackend
     ** Shapes use a primary-key prefix of at most the requested sample size.
     *******************************************************************************/
    @Override
-   public List<GroupCount> patterns(String table, QQueryFilter filter, String field, int sampleRows) throws QException
+   public PatternSummary patterns(String table, QQueryFilter filter, String field, int sampleRows) throws QException
    {
-      List<QRecord> records = rows(table, filter, Set.of(field, primaryKey(table)), sampleRows);
+      List<QRecord> records = rows(table, DrillFilters.and(filter, DrillFilters.nonNull(field, true)), Set.of(field, primaryKey(table)), sampleRows + 1);
+      boolean truncated = records.size() > sampleRows;
+      records = records.subList(0, Math.min(records.size(), sampleRows));
       QQueryFilter sampled = records.isEmpty() ? DrillFilters.in(primaryKey(table), List.of())
          : DrillFilters.condition(primaryKey(table), QCriteriaOperator.LESS_THAN_OR_EQUALS, records.getLast().getValue(primaryKey(table)));
-      return (mappedGroups(table, DrillFilters.and(filter, sampled), field, records, v -> shape(v.toString()), 10));
+      return (new PatternSummary(mappedGroups(table, estimating ? filter : DrillFilters.and(filter, sampled), field, records, v -> shape(v.toString()), 10), records.size(), truncated));
    }
 
 
@@ -575,8 +669,8 @@ public class StandInAnalysisBackend implements AnalysisBackend
       List<GroupCount> groups = new ArrayList<>();
       for(Map.Entry<Serializable, Set<Serializable>> entry : members.entrySet())
       {
-         QQueryFilter condition = DrillFilters.and(filter, DrillFilters.in(field, new ArrayList<>(entry.getValue())));
-         groups.add(new GroupCount(entry.getKey(), entry.getKey().toString(), count(table, condition), condition));
+         QQueryFilter condition = DrillFilters.in(field, new ArrayList<>(entry.getValue()));
+         groups.add(new GroupCount(entry.getKey(), entry.getKey().toString(), count(table, DrillFilters.and(filter, condition)), estimating ? condition : DrillFilters.and(filter, condition), countShare()));
       }
       return (groups.stream().sorted(Comparator.comparingLong(GroupCount::count).reversed().thenComparing(GroupCount::label)).limit(limit).toList());
    }
@@ -597,7 +691,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Metadata lookup follows facade security checks.
     *******************************************************************************/
-   private static QFieldMetaData field(String table, String field)
+   protected static QFieldMetaData field(String table, String field)
    {
       return (QContext.getQInstance().getTable(table).getField(field));
    }
@@ -607,7 +701,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Deterministic paging requires an addressable primary key.
     *******************************************************************************/
-   private static String primaryKey(String table)
+   protected static String primaryKey(String table)
    {
       return (QContext.getQInstance().getTable(table).getPrimaryKeyField());
    }
@@ -618,7 +712,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
     ** COUNT and COUNT_DISTINCT always read as integers: RC.5's RDBMS reader
     ** otherwise reads them as the field's type (a boolean count fails).
     *******************************************************************************/
-   private static Aggregate countOf(String field, AggregateOperator op)
+   protected static Aggregate countOf(String field, AggregateOperator op)
    {
       return (new Aggregate(field, op).withFieldType(QFieldType.INTEGER));
    }
@@ -628,7 +722,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** The value of one aggregate of a result row (0 when absent).
     *******************************************************************************/
-   private static BigDecimal number(AggregateResult row, String field, AggregateOperator op)
+   protected static BigDecimal number(AggregateResult row, String field, AggregateOperator op)
    {
       Serializable value = row.getAggregateValues().entrySet().stream().filter(e -> field.equals(e.getKey().getFieldName()) && op == e.getKey().getOperator())
          .map(Map.Entry::getValue).filter(Objects::nonNull).findFirst().orElse(0);
@@ -642,9 +736,9 @@ public class StandInAnalysisBackend implements AnalysisBackend
     ** Use strict comparison plus actual boundary spellings to preserve half-open
     ** membership. SQL backends use ordinary range predicates.
     *******************************************************************************/
-   private static QQueryFilter numericRange(String table, String field, List<BigDecimal> values, BigDecimal low, BigDecimal high, boolean closed)
+   protected QQueryFilter numericRange(String table, String field, List<BigDecimal> values, BigDecimal low, BigDecimal high, boolean closed)
    {
-      if(!isMemory(table))
+      if(estimating || !isMemory(table))
       {
          return (DrillFilters.range(field, low, high, closed));
       }
@@ -682,7 +776,7 @@ public class StandInAnalysisBackend implements AnalysisBackend
    /*******************************************************************************
     ** Isolate compatibility fixes to the RC.5 memory implementation.
     *******************************************************************************/
-   private static boolean isMemory(String table)
+   protected static boolean isMemory(String table)
    {
       return ("memory".equals(QContext.getQInstance().getBackend(QContext.getQInstance().getTable(table).getBackendName()).getBackendType()));
    }

src/main/java/com/kingsrook/qbits/dataanalysis/engine/TableProfiler.java

@@ -60,22 +60,23 @@ public class TableProfiler
       String table = request.getTableName();
       QQueryFilter filter = scope.filter();
       long rows = backend.count(table, filter);
+      QQueryFilter drillFilter = scope.estimate() ? request.getFilter() : filter;
       TableProfile result = new TableProfile().withTableName(table).withFilter(DrillFilters.restoreTypes(request.getTableName(), request.getFilter())).withEstimate(scope.estimate())
-         .withSampleRows(scope.estimate() ? rows : 0L).withRowsScanned(scope.rowsScanned()).withTruncated(scope.truncated()).withAsOf(Instant.now())
-         .withRowCount(ProfileSupport.count("rows", rows, table, filter, null));
+         .withSampleRows(scope.estimate() ? scope.rowsScanned() : 0L).withRowsScanned(scope.rowsScanned()).withTruncated(scope.truncated()).withAsOf(Instant.now())
+         .withRowCount(ProfileSupport.count("rows", scope.estimate() ? scope.total() : rows, table, drillFilter, null));
       Map<String, AnalysisBackend.FieldCounts> counts = backend.fieldCounts(table, filter, fields.stream().map(QFieldMetaData::getName).toList());
       for(QFieldMetaData field : fields)
       {
          String name = field.getName();
          AnalysisBackend.FieldCounts c = counts.get(name);
          result.getFields().add(new FieldSummary().withField(name).withLabel(field.getLabel()).withType(field.getType().name())
-            .withCompleteness(ProfileSupport.share(rows - c.blanks(), rows)).withDistinct(c.distinct()).withUniqueness(ProfileSupport.share(c.distinct(), c.nonNull()))
-            .withConstant(c.distinct() == 1).withEmpty(c.blanks() == rows)
-            .withNulls(ProfileSupport.count("nulls", c.nulls(), table, filter, DrillFilters.nulls(name, field.getType().isStringLike())))
-            .withBlanks(ProfileSupport.count("blanks", c.blanks(), table, filter, c.blankFilter())));
+            .withCompleteness(AnalysisFormatting.ratio(c.completeness())).withDistinct(c.distinct()).withUniqueness(AnalysisFormatting.ratio(c.uniqueness()))
+            .withConstant(c.constant()).withEmpty(c.blanks() == rows)
+            .withNulls(ProfileSupport.count("nulls", c.nulls(), table, drillFilter, DrillFilters.nulls(name, field.getType().isStringLike())))
+            .withBlanks(ProfileSupport.count("blanks", c.blanks(), table, drillFilter, c.blankFilter())));
          if(rows > 0 && c.distinct() == rows && c.nulls() == 0)
          {
-            result.getCandidateKeys().add(key(table, filter, List.of(name), rows));
+            result.getCandidateKeys().add(key(table, drillFilter, List.of(name), rows));
          }
       }
       List<FieldSummary> ranked = result.getFields().stream().sorted(Comparator.comparing(FieldSummary::getUniqueness).reversed().thenComparing(FieldSummary::getField)).limit(8).toList();
@@ -86,7 +87,7 @@ public class TableProfiler
             List<String> pair = List.of(ranked.get(i).getField(), ranked.get(j).getField());
             if(rows > 0 && pair.stream().allMatch(f -> counts.get(f).nulls() == 0) && backend.duplicates(table, filter, pair, 1).isEmpty())
             {
-               result.getCandidateKeys().add(key(table, filter, pair, rows));
+               result.getCandidateKeys().add(key(table, drillFilter, pair, rows));
             }
          }
       }
@@ -97,7 +98,12 @@ public class TableProfiler
       {
          result.getHeatmap().getSeries().getFirst().getPoints().add(new Point().withX(field.getField()).withLabel(field.getLabel()).withY(field.getCompleteness()));
       }
-      if(scope.estimate() || scope.truncated())
+      if(scope.estimate())
+      {
+         result.getFields().forEach(f -> ProfileSupport.markEstimates(List.of(f.getNulls(), f.getBlanks())));
+         result.getWarnings().add(scope.warning());
+      }
+      else if(scope.truncated())
       {
          result.getWarnings().add("Profiles and candidate keys describe only the first " + rows + " rows by primary key.");
       }

src/main/java/com/kingsrook/qbits/dataanalysis/metadata/DataAnalysisMetaDataProducer.java

@@ -59,6 +59,7 @@ public class DataAnalysisMetaDataProducer extends QBitComponentMetaDataProducer<
       DataAnalysisTables.joins().forEach(output::add);
       DataAnalysisTables.childListWidgets().forEach(output::add);
       output.add(DataAnalysisTables.userKeyType());
+      output.add(com.kingsrook.qbits.dataanalysis.processes.TableConfigDefaultsProcess.process());
       List<QTableMetaData> tables = DataAnalysisTables.tables(getQBitConfig());
       for(QTableMetaData table : tables)
       {
@@ -66,7 +67,8 @@ public class DataAnalysisMetaDataProducer extends QBitComponentMetaDataProducer<
             .filter(qbit -> DataAnalysisQBitProducer.ARTIFACT_ID.equals(qbit.getArtifactId())).findFirst().orElseThrow().getName());
          output.add(table);
       }
-      output.add(DataAnalysisHome.widget());
+      DataAnalysisHome.widgets().forEach(output::add);
+      output.add(com.kingsrook.qbits.dataanalysis.app.SavedAnalysisWidget.widget());
       output.add(DataAnalysisHome.app(getQBitConfig(), tables));
       return (output);
    }

src/main/java/com/kingsrook/qbits/dataanalysis/metadata/ScheduleProcesses.java

@@ -0,0 +1,93 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.metadata;
+
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.processes.ScheduleActions;
+import com.kingsrook.qqq.backend.core.model.metadata.MetaDataProducerMultiOutput;
+import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference;
+import com.kingsrook.qqq.backend.core.model.metadata.layout.QIcon;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.PermissionLevel;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
+import com.kingsrook.qqq.backend.core.model.metadata.processes.QBackendStepMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.processes.QProcessMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitComponentMetaDataProducer;
+import com.kingsrook.qqq.backend.core.model.metadata.scheduleing.QScheduleMetaData;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.ExtractViaQueryStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.StreamedETLWithFrontendProcess;
+
+/*******************************************************************************
+ ** Watch record actions and one hidden scheduled process, never app children.
+ *******************************************************************************/
+public class ScheduleProcesses extends QBitComponentMetaDataProducer<MetaDataProducerMultiOutput, DataAnalysisQBitConfig>
+{
+   /*******************************************************************************
+    ** Build after the watch table has been registered.
+    *******************************************************************************/
+   @Override
+   public int getSortOrder()
+   {
+      return (200);
+   }
+
+   /*******************************************************************************
+    ** Component scanning also encounters unconfigured producers.
+    *******************************************************************************/
+   @Override
+   public boolean isEnabled()
+   {
+      return (getQBitConfig() != null);
+   }
+
+   /*******************************************************************************
+    ** Ordinary core actions provide selected records, Review, and Result screens.
+    *******************************************************************************/
+   @Override
+   public MetaDataProducerMultiOutput produce(QInstance instance)
+   {
+      MetaDataProducerMultiOutput output = new MetaDataProducerMultiOutput();
+      for(String name : List.of(ScheduleActions.SEND))
+      {
+         String label = "Send now";
+         QProcessMetaData process = StreamedETLWithFrontendProcess.processMetaDataBuilder()
+            .withName(name).withLabel(label).withIcon(new QIcon("notifications_active"))
+            .withTableName(DataAnalysisTables.SCHEDULE).withSourceTable(DataAnalysisTables.SCHEDULE).withDestinationTable(DataAnalysisTables.SCHEDULE)
+            .withExtractStepClass(ExtractViaQueryStep.class).withTransformStepClass(ScheduleActions.Review.class).withLoadStepClass(ScheduleActions.Result.class)
+            .withSupportsFullValidation(true).withDoFullValidation(true).withMinInputRecords(1)
+            .withPreviewMessage("Review the selected schedules.").getProcessMetaData();
+         // Table READ/EDIT and owner locks are enforced by extraction and both steps.
+         process.withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED));
+         output.add(process);
+      }
+      QProcessMetaData scheduled = new QProcessMetaData().withName(ScheduleActions.SCHEDULED).withLabel("Run analysis schedules").withIsHidden(true)
+         .withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.HAS_ACCESS_PERMISSION).withPermissionBaseName(ScheduleActions.SCHEDULED))
+         .withStep(new QBackendStepMetaData().withName("run").withCode(new QCodeReference(ScheduleActions.Scheduled.class)));
+      if(getQBitConfig().getSchedulerName() != null)
+      {
+         scheduled.withSchedule(new QScheduleMetaData().withSchedulerName(getQBitConfig().getSchedulerName()).withRepeatSeconds(300).withInitialDelaySeconds(300));
+      }
+      output.add(scheduled);
+      return (output);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/metadata/WatchProcesses.java

@@ -0,0 +1,93 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.metadata;
+
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.processes.WatchActions;
+import com.kingsrook.qqq.backend.core.model.metadata.MetaDataProducerMultiOutput;
+import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference;
+import com.kingsrook.qqq.backend.core.model.metadata.layout.QIcon;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.PermissionLevel;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
+import com.kingsrook.qqq.backend.core.model.metadata.processes.QBackendStepMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.processes.QProcessMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.qbits.QBitComponentMetaDataProducer;
+import com.kingsrook.qqq.backend.core.model.metadata.scheduleing.QScheduleMetaData;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.ExtractViaQueryStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.StreamedETLWithFrontendProcess;
+
+/*******************************************************************************
+ ** Watch record actions and one hidden scheduled process, never app children.
+ *******************************************************************************/
+public class WatchProcesses extends QBitComponentMetaDataProducer<MetaDataProducerMultiOutput, DataAnalysisQBitConfig>
+{
+   /*******************************************************************************
+    ** Build after the watch table has been registered.
+    *******************************************************************************/
+   @Override
+   public int getSortOrder()
+   {
+      return (200);
+   }
+
+   /*******************************************************************************
+    ** Component scanning also encounters unconfigured producers.
+    *******************************************************************************/
+   @Override
+   public boolean isEnabled()
+   {
+      return (getQBitConfig() != null);
+   }
+
+   /*******************************************************************************
+    ** Ordinary core actions provide selected records, Review, and Result screens.
+    *******************************************************************************/
+   @Override
+   public MetaDataProducerMultiOutput produce(QInstance instance)
+   {
+      MetaDataProducerMultiOutput output = new MetaDataProducerMultiOutput();
+      for(String name : List.of(WatchActions.EVALUATE, WatchActions.ENABLE, WatchActions.DISABLE))
+      {
+         String label = WatchActions.EVALUATE.equals(name) ? "Evaluate now" : WatchActions.ENABLE.equals(name) ? "Enable" : "Disable";
+         QProcessMetaData process = StreamedETLWithFrontendProcess.processMetaDataBuilder()
+            .withName(name).withLabel(label).withIcon(new QIcon("notifications_active"))
+            .withTableName(DataAnalysisTables.WATCH).withSourceTable(DataAnalysisTables.WATCH).withDestinationTable(DataAnalysisTables.WATCH)
+            .withExtractStepClass(ExtractViaQueryStep.class).withTransformStepClass(WatchActions.Review.class).withLoadStepClass(WatchActions.Result.class)
+            .withSupportsFullValidation(true).withDoFullValidation(true).withMinInputRecords(1)
+            .withPreviewMessage("Review the selected watches.").getProcessMetaData();
+         // Table READ/EDIT and owner locks are enforced by extraction and both steps.
+         process.withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED));
+         output.add(process);
+      }
+      QProcessMetaData scheduled = new QProcessMetaData().withName(WatchActions.SCHEDULED).withLabel("Evaluate watches").withIsHidden(true)
+         .withPermissionRules(new QPermissionRules().withLevel(PermissionLevel.HAS_ACCESS_PERMISSION).withPermissionBaseName(WatchActions.SCHEDULED))
+         .withStep(new QBackendStepMetaData().withName("run").withCode(new QCodeReference(WatchActions.Scheduled.class)));
+      if(getQBitConfig().getSchedulerName() != null)
+      {
+         scheduled.withSchedule(new QScheduleMetaData().withSchedulerName(getQBitConfig().getSchedulerName()).withRepeatSeconds(900).withInitialDelaySeconds(900));
+      }
+      output.add(scheduled);
+      return (output);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/model/DataAnalysisFieldPossibleValueProvider.java

@@ -0,0 +1,112 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package com.kingsrook.qbits.dataanalysis.model;
+
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Locale;
+import java.util.Map;
+import com.kingsrook.qqq.backend.core.actions.values.QCustomPossibleValueProvider;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.model.actions.values.SearchPossibleValueSourceInput;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.possiblevalues.QPossibleValue;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+import com.kingsrook.qqq.backend.core.utils.CollectionUtils;
+import com.kingsrook.qqq.backend.core.utils.StringUtils;
+import com.kingsrook.qqq.backend.core.utils.ValueUtils;
+
+
+/*******************************************************************************
+ ** Fields of the table selected in the settings form. Core has no multi-select
+ ** PVS field yet; settings retain their comma-separated TEXT representation.
+ *******************************************************************************/
+public class DataAnalysisFieldPossibleValueProvider implements QCustomPossibleValueProvider<String>
+{
+   public static final String NAME = "data_analysis_fields";
+
+
+
+   /*******************************************************************************
+    ** Without form values the table is unknown; preserve names, including CSV lists.
+    *******************************************************************************/
+   @Override
+   public QPossibleValue<String> getPossibleValue(Serializable idValue)
+   {
+      String name = ValueUtils.getValueAsString(idValue);
+      return (name == null ? null : new QPossibleValue<>(name, name));
+   }
+
+
+
+   /*******************************************************************************
+    ** Offer only fields of the selected table, honoring search text and id lookups.
+    *******************************************************************************/
+   @Override
+   public List<QPossibleValue<String>> search(SearchPossibleValueSourceInput input)
+   {
+      List<QPossibleValue<String>> values = new ArrayList<>();
+      QTableMetaData table = resolveTable(input.getOtherValues());
+      if(table == null)
+      {
+         return (values);
+      }
+      for(QFieldMetaData field : table.getFields().values())
+      {
+         String label = field.getLabel() == null ? field.getName() : field.getLabel();
+         QPossibleValue<String> value = new QPossibleValue<>(field.getName(), label + " (" + field.getName() + ")");
+         if(CollectionUtils.nullSafeHasContents(input.getIdList()))
+         {
+            if(input.getIdList().stream().anyMatch(id -> value.getId().equals(ValueUtils.getValueAsString(id))))
+            {
+               values.add(value);
+            }
+         }
+         else
+         {
+            String term = input.getSearchTerm();
+            if(!StringUtils.hasContent(term) || value.getLabel().toLowerCase(Locale.ROOT).contains(term.toLowerCase(Locale.ROOT)))
+            {
+               values.add(value);
+            }
+         }
+      }
+      return (values);
+   }
+
+
+
+   /*******************************************************************************
+    ** Resolve the table from the frontend form values, never from the config table.
+    *******************************************************************************/
+   private QTableMetaData resolveTable(Map<String, Serializable> otherValues)
+   {
+      if(otherValues == null || QContext.getQInstance() == null)
+      {
+         return (null);
+      }
+      String tableName = ValueUtils.getValueAsString(otherValues.get("table_name"));
+      return (StringUtils.hasContent(tableName) ? QContext.getQInstance().getTable(tableName) : null);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/model/DataAnalysisTables.java

@@ -29,8 +29,12 @@ import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
 import com.kingsrook.qbits.dataanalysis.permissions.DataAnalysisPermissions;
 import com.kingsrook.qqq.backend.core.actions.dashboard.widgets.ChildRecordListRenderer;
 import com.kingsrook.qqq.backend.core.instances.QInstanceEnricher;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QFilterCriteria;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
 import com.kingsrook.qqq.backend.core.model.metadata.audits.AuditLevel;
 import com.kingsrook.qqq.backend.core.model.metadata.audits.QAuditRules;
+import com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference;
 import com.kingsrook.qqq.backend.core.model.metadata.dashboard.QWidgetMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
@@ -49,6 +53,7 @@ import com.kingsrook.qqq.backend.core.model.metadata.tables.ExposedJoin;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.QFieldSection;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.SectionFactory;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.TablesPossibleValueSourceMetaDataProvider;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.Tier;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.UniqueKey;
 
@@ -111,10 +116,15 @@ public final class DataAnalysisTables
    public static List<QPossibleValueSource> possibleValueSources()
    {
       List<QPossibleValueSource> sources = new ArrayList<>();
+      sources.add(new QPossibleValueSource().withName(DataAnalysisFieldPossibleValueProvider.NAME)
+         .withType(QPossibleValueSourceType.CUSTOM).withIdType(QFieldType.STRING)
+         .withCustomCodeReference(new QCodeReference(DataAnalysisFieldPossibleValueProvider.class)));
       sources.add(enumSource("kind", "COLUMN_PROFILE", "TABLE_PROFILE", "PIVOT", "COMPARE", "CORRELATION", "CROSSTAB", "SHIFT"));
       sources.add(enumSource("chart_kind", "HISTOGRAM", "BOX", "BAR", "PARETO", "TIME_SERIES", "SCATTER", "HEATMAP"));
       sources.add(enumSource("detector", "SPIKE", "DROP", "OUT_OF_RANGE", "NEW_CATEGORY", "NULL_RATE_CREEP"));
       sources.add(enumSource("watch_state", "OK", "FIRING"));
+      sources.add(enumSource("watch_bucket", "HOUR", "DAY", "WEEK", "MONTH"));
+      sources.add(enumSource("watch_severity", "INFO", "WARNING", "ERROR", "CRITICAL"));
       sources.add(enumSource("run_status", "RUNNING", "COMPLETE", "FAILED"));
       sources.add(enumSource("schedule_frequency", "DAILY", "WEEKLY", "MONTHLY"));
       sources.add(enumSource("schedule_format", "HTML_SUMMARY", "CSV", "XLSX"));
@@ -205,14 +215,16 @@ public final class DataAnalysisTables
       List<QTableMetaData> tables = new ArrayList<>();
       tables.add(base(config, TABLE_CONFIG, "Analysis Settings", "settings", "data_analysis.settings")
          .withRecordLabelFormatAndFields("%s", "table_name")
-         .withField(field("table_name", QFieldType.STRING).withIsRequired(true))
+         .withField(field("table_name", QFieldType.STRING).withPossibleValueSourceName(TablesPossibleValueSourceMetaDataProvider.NAME).withIsRequired(true))
          .withField(field("enabled", QFieldType.BOOLEAN).withDefaultValue(true))
          .withField(field("max_rows", QFieldType.INTEGER))
          .withField(field("sample_threshold_rows", QFieldType.INTEGER))
          .withField(field("sample_rows", QFieldType.INTEGER))
          .withField(field("min_group_size", QFieldType.INTEGER))
-         .withField(field("analyzable_fields", QFieldType.TEXT))
-         .withField(field("excluded_fields", QFieldType.TEXT))
+         // add possibleValueSourceDependsOn("table_name") once core has it
+         .withField(field("analyzable_fields", QFieldType.TEXT).withPossibleValueSourceName(DataAnalysisFieldPossibleValueProvider.NAME))
+         // add possibleValueSourceDependsOn("table_name") once core has it
+         .withField(field("excluded_fields", QFieldType.TEXT).withPossibleValueSourceName(DataAnalysisFieldPossibleValueProvider.NAME))
          .withField(field("cache_ttl_minutes", QFieldType.INTEGER))
          .withAuditRules(new QAuditRules().withAuditLevel(AuditLevel.FIELD))
          .withUniqueKey(new UniqueKey("table_name")));
@@ -220,19 +232,26 @@ public final class DataAnalysisTables
          .withRecordLabelFormatAndFields("%s", "name")
          .withField(field("name", QFieldType.STRING).withIsRequired(true))
          .withField(field("description", QFieldType.TEXT))
-         .withField(field("table_name", QFieldType.STRING).withIsRequired(true))
+         .withField(field("table_name", QFieldType.STRING).withPossibleValueSourceName(TablesPossibleValueSourceMetaDataProvider.NAME).withIsRequired(true))
          .withField(field("filter_json", QFieldType.TEXT))
          .withField(field("kind", QFieldType.STRING).withPossibleValueSourceName("data_analysis_kind").withIsRequired(true))
          .withField(field("definition_json", QFieldType.TEXT).withIsRequired(true))
          .withField(field("chart_kind", QFieldType.STRING).withPossibleValueSourceName("data_analysis_chart_kind"))
-         .withField(field("owner_user_id", QFieldType.STRING).withIsRequired(true))
+         .withField(field("owner_user_id", QFieldType.STRING).withIsRequired(true).withBehavior(InsertingUserBehavior.INSERTING_USER))
          .withField(field("shared", QFieldType.BOOLEAN).withDefaultValue(false))
+         .withField(field("read_owner_user_id", QFieldType.STRING).withIsEditable(false).withIsHidden(true))
          .withAuditRules(new QAuditRules().withAuditLevel(AuditLevel.FIELD))
-         .withRecordSecurityLock(ownerLock("owner_user_id")));
+         .withRecordSecurityLock(ownerLock("owner_user_id").withLockScope(RecordSecurityLock.LockScope.WRITE))
+         .withRecordSecurityLock(ownerLock("read_owner_user_id").withLockScope(RecordSecurityLock.LockScope.READ)
+            .withNullValueBehavior(RecordSecurityLock.NullValueBehavior.ALLOW))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_INSERT_RECORD,
+            new QCodeReference(com.kingsrook.qbits.dataanalysis.saved.SavedCustomizer.class))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_UPDATE_RECORD,
+            new QCodeReference(com.kingsrook.qbits.dataanalysis.saved.SavedCustomizer.class)));
       tables.add(base(config, SAVED_STAR, "Stars", "star", "data_analysis.saved")
          .withRecordLabelFormatAndFields("%s", "user_id")
          .withField(field("saved_id", QFieldType.INTEGER).withPossibleValueSourceName("data_analysis_saved").withIsRequired(true))
-         .withField(field("user_id", QFieldType.STRING).withIsRequired(true))
+         .withField(field("user_id", QFieldType.STRING).withIsRequired(true).withBehavior(InsertingUserBehavior.INSERTING_USER))
          .withUniqueKey(new UniqueKey("saved_id", "user_id"))
          .withRecordSecurityLock(ownerLock("user_id")));
       tables.add(base(config, SCHEDULE, "Schedules", "schedule", "data_analysis.saved")
@@ -247,26 +266,40 @@ public final class DataAnalysisTables
          .withField(field("recipients", QFieldType.TEXT))
          .withField(field("enabled", QFieldType.BOOLEAN).withDefaultValue(false))
          .withField(field("last_run_at", QFieldType.DATE_TIME))
-         .withField(field("last_status", QFieldType.STRING).withPossibleValueSourceName("data_analysis_run_status"))
+         .withField(field("last_status", QFieldType.TEXT).withIsEditable(false))
          .withField(field("next_run_at", QFieldType.DATE_TIME))
-         .withRecordSecurityLock(ownerLock(SAVED + ".owner_user_id").withJoinNameChain(List.of(joinName(SCHEDULE)))));
+         .withRecordSecurityLock(ownerLock(SAVED + ".owner_user_id").withJoinNameChain(List.of(joinName(SCHEDULE))))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_INSERT_RECORD,
+            new QCodeReference(com.kingsrook.qbits.dataanalysis.schedule.ScheduleCustomizer.class))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_UPDATE_RECORD,
+            new QCodeReference(com.kingsrook.qbits.dataanalysis.schedule.ScheduleCustomizer.class)));
       tables.add(base(config, WATCH, "Watches", "notifications_active", "data_analysis.watch")
          .withRecordLabelFormatAndFields("%s", "detector")
-         .withField(field("saved_id", QFieldType.INTEGER).withPossibleValueSourceName("data_analysis_saved"))
-         .withField(field("table_name", QFieldType.STRING))
+         .withField(field("saved_id", QFieldType.INTEGER).withPossibleValueSourceName("data_analysis_saved")
+            .withPossibleValueSourceFilter(new QQueryFilter(new QFilterCriteria("table_name", QCriteriaOperator.EQUALS, "${input.table_name}"))))
+         .withField(field("table_name", QFieldType.STRING).withPossibleValueSourceName(TablesPossibleValueSourceMetaDataProvider.NAME))
          .withField(field("filter_json", QFieldType.TEXT))
          .withField(field("metric_json", QFieldType.TEXT))
          .withField(field("detector", QFieldType.STRING).withPossibleValueSourceName("data_analysis_detector").withIsRequired(true))
          .withField(field("parameters_json", QFieldType.TEXT))
-         .withField(field("bucket", QFieldType.STRING))
-         .withField(field("severity", QFieldType.STRING))
+         .withField(field("date_field", QFieldType.STRING).withIsRequired(true))
+         .withField(field("bucket", QFieldType.STRING).withDefaultValue("DAY").withIsRequired(true).withPossibleValueSourceName("data_analysis_watch_bucket"))
+         .withField(field("severity", QFieldType.STRING).withDefaultValue("WARNING").withIsRequired(true).withPossibleValueSourceName("data_analysis_watch_severity"))
+         .withField(field("owner_user_id", QFieldType.STRING).withIsRequired(true).withBehavior(InsertingUserBehavior.INSERTING_USER))
          .withField(field("enabled", QFieldType.BOOLEAN).withDefaultValue(false))
-         .withField(field("last_evaluated_at", QFieldType.DATE_TIME))
-         .withField(field("state", QFieldType.STRING).withDefaultValue("OK").withPossibleValueSourceName("data_analysis_watch_state"))
-         .withField(field("alert_key", QFieldType.STRING)));
+         .withField(field("last_evaluated_at", QFieldType.DATE_TIME).withIsEditable(false))
+         .withField(field("last_value", QFieldType.DECIMAL).withIsEditable(false))
+         .withField(field("last_message", QFieldType.TEXT).withIsEditable(false))
+         .withField(field("state", QFieldType.STRING).withDefaultValue("OK").withIsEditable(false).withPossibleValueSourceName("data_analysis_watch_state"))
+         .withField(field("alert_key", QFieldType.STRING).withIsEditable(false))
+         .withRecordSecurityLock(ownerLock("owner_user_id"))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_INSERT_RECORD,
+            new com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference(com.kingsrook.qbits.dataanalysis.watch.WatchCustomizer.class))
+         .withCustomizer(com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizers.PRE_UPDATE_RECORD,
+            new com.kingsrook.qqq.backend.core.model.metadata.code.QCodeReference(com.kingsrook.qbits.dataanalysis.watch.WatchCustomizer.class)));
       tables.add(base(config, RUN, "Analysis Runs", "history", "data_analysis.run")
          .withRecordLabelFormatAndFields("%s", "operation")
-         .withField(field("table_name", QFieldType.STRING).withIsRequired(true))
+         .withField(field("table_name", QFieldType.STRING).withPossibleValueSourceName(TablesPossibleValueSourceMetaDataProvider.NAME).withIsRequired(true))
          .withField(field("operation", QFieldType.STRING).withIsRequired(true))
          .withField(field("request_hash", QFieldType.STRING))
          .withField(field("filter_hash", QFieldType.STRING))
@@ -278,12 +311,12 @@ public final class DataAnalysisTables
          .withField(field("sampled", QFieldType.BOOLEAN).withDefaultValue(false))
          .withField(field("result_json", QFieldType.TEXT))
          .withField(field("error", QFieldType.TEXT))
-         .withField(field("user_id", QFieldType.STRING).withIsRequired(true))
+         .withField(field("user_id", QFieldType.STRING).withIsRequired(true).withBehavior(InsertingUserBehavior.INSERTING_USER))
          .withRecordSecurityLock(ownerLock("user_id")));
       for(QTableMetaData table : tables)
       {
          List<String> fields = new ArrayList<>(table.getFields().keySet());
-         fields.removeAll(List.of("id", "createDate", "modifyDate"));
+         fields.removeAll(List.of("id", "createDate", "modifyDate", "read_owner_user_id"));
          int headlineSize = Math.min(4, fields.size());
          table.withSection(SectionFactory.defaultT1(fields.subList(0, headlineSize).toArray(String[]::new)));
          if(fields.size() > headlineSize)

src/main/java/com/kingsrook/qbits/dataanalysis/model/InsertingUserBehavior.java

@@ -0,0 +1,84 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.model;
+
+
+import java.util.List;
+import com.kingsrook.qqq.backend.core.actions.values.ValueBehaviorApplier;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.FieldBehavior;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+import com.kingsrook.qqq.backend.core.utils.CollectionUtils;
+import com.kingsrook.qqq.backend.core.utils.StringUtils;
+
+
+/*******************************************************************************
+ ** On INSERT only, an owner/user field left empty gets the inserting user's id,
+ ** so a UI (which does not know the user's id) can create a saved analysis,
+ ** star or watch. Unlike core DynamicDefaultValueBehavior.USER_ID it never
+ ** applies on UPDATE, so an administrator's partial edit cannot take ownership.
+ ** Naming another owner is still refused by the table customizers and locks.
+ *******************************************************************************/
+public enum InsertingUserBehavior implements FieldBehavior<InsertingUserBehavior>
+{
+   INSERTING_USER,
+   NONE;
+
+
+
+   /*******************************************************************************
+    ** No behavior unless asked for.
+    *******************************************************************************/
+   @Override
+   public InsertingUserBehavior getDefault()
+   {
+      return (NONE);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fill empty values with the session user's id on insert.
+    *******************************************************************************/
+   @Override
+   public void apply(ValueBehaviorApplier.Action action, List<QRecord> recordList, QInstance instance, QTableMetaData table, QFieldMetaData field)
+   {
+      if(this == NONE || action != ValueBehaviorApplier.Action.INSERT)
+      {
+         return;
+      }
+      String userId = QContext.getQSession() == null || QContext.getQSession().getUser() == null ? null : QContext.getQSession().getUser().getIdReference();
+      if(!StringUtils.hasContent(userId))
+      {
+         return;
+      }
+      for(QRecord record : CollectionUtils.nonNullList(recordList))
+      {
+         if(!StringUtils.hasContent(record.getValueString(field.getName())))
+         {
+            record.setValue(field.getName(), userId);
+         }
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/permissions/DataAnalysisPermissions.java

@@ -27,12 +27,11 @@ import com.kingsrook.qqq.backend.core.context.QContext;
 import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryInput;
 import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
 import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
-import com.kingsrook.qqq.backend.core.model.session.QSession;
 import com.kingsrook.qqq.backend.core.utils.StringUtils;
 
 
 /*******************************************************************************
- ** Data Analysis permissions and the temporary per-table feature check.
+ ** Data Analysis permissions through the core table feature registry.
  *******************************************************************************/
 public final class DataAnalysisPermissions
 {
@@ -68,9 +67,8 @@ public final class DataAnalysisPermissions
     *******************************************************************************/
    public static boolean canAnalyze(QTableMetaData table)
    {
-      QSession session = QContext.getQSession();
       boolean read = !Boolean.TRUE.equals(QContext.getQInstance().getEnforcePermissionsInCoreActions())
          || PermissionsHelper.hasTablePermission(new QueryInput(table.getName()), table.getName(), TablePermissionSubType.READ);
-      return (read && session != null && session.hasPermission(analyzePermissionName(table)));
+      return (read && PermissionsHelper.hasTableFeaturePermission(QContext.getQInstance(), QContext.getQSession(), table, "analyze"));
    }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/processes/ScheduleActions.java

@@ -0,0 +1,144 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.processes;
+
+import java.time.Instant;
+import java.util.ArrayList;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionsHelper;
+import com.kingsrook.qqq.backend.core.actions.permissions.TablePermissionSubType;
+import com.kingsrook.qqq.backend.core.actions.processes.BackendStep;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLine;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLineInterface;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepInput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepOutput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.Status;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractLoadStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractTransformStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.ProcessSummaryProviderInterface;
+
+/*******************************************************************************
+ ** Standard streamed ETL Review and Result actions for scheduled analyses.
+ *******************************************************************************/
+public final class ScheduleActions
+{
+   public static final String SEND = "data_analysis_schedule_send";
+   public static final String SCHEDULED = "data_analysis_run_schedules";
+
+   /*******************************************************************************
+    ** Steps only.
+    *******************************************************************************/
+   private ScheduleActions()
+   {
+   }
+
+   /*******************************************************************************
+    ** Review has no delivery side effects.
+    *******************************************************************************/
+   public static class Review extends AbstractTransformStep implements ProcessSummaryProviderInterface
+   {
+      private final ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+
+      /*******************************************************************************
+       ** Core extraction enforces record locks; verify the edit grant as well.
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         if(!PermissionsHelper.hasTablePermission(new UpdateInput(DataAnalysisTables.SCHEDULE), DataAnalysisTables.SCHEDULE, TablePermissionSubType.EDIT))
+         {
+            throw new QPermissionDeniedException("Schedule editing is unavailable.");
+         }
+         for(QRecord record : input.getRecords())
+         {
+            lines.add(new ProcessSummaryLine(Status.INFO, null, "Schedule " + record.getValueString("id") + " will be sent to authorized recipients."));
+            output.addRecord(record);
+         }
+      }
+
+      /*******************************************************************************
+       ** Standard Review summary.
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean result)
+      {
+         return (result ? new ArrayList<>() : lines);
+      }
+   }
+
+   /*******************************************************************************
+    ** Every selected record contributes its actual delivery status to Result.
+    *******************************************************************************/
+   public static class Result extends AbstractLoadStep implements ProcessSummaryProviderInterface
+   {
+      private final ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+
+      /*******************************************************************************
+       ** Reauthorize when executing after Review.
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         for(QRecord record : input.getRecords())
+         {
+            try
+            {
+               String status = DataAnalysisRuntime.schedules().sendNow(record.getValue("id"), Instant.now());
+               lines.add(new ProcessSummaryLine(status.startsWith("Failed") ? Status.ERROR : Status.OK, null, status));
+               output.addRecord(record);
+            }
+            catch(QException e)
+            {
+               lines.add(new ProcessSummaryLine(Status.ERROR, null, e.getMessage()));
+            }
+         }
+      }
+
+      /*******************************************************************************
+       ** Actual results across streamed pages.
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean result)
+      {
+         return (lines);
+      }
+   }
+
+   /*******************************************************************************
+    ** Hidden scheduler every five minutes.
+    *******************************************************************************/
+   public static class Scheduled implements BackendStep
+   {
+      /*******************************************************************************
+       ** Count actual due schedule attempts.
+       *******************************************************************************/
+      @Override
+      public void run(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         output.addValue("count", DataAnalysisRuntime.schedules().runDue(Instant.now()));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/processes/TableConfigDefaultsProcess.java

@@ -0,0 +1,301 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.processes;
+
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.TreeSet;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.engine.EffectiveConfig;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
+import com.kingsrook.qqq.backend.core.actions.permissions.TablePermissionSubType;
+import com.kingsrook.qqq.backend.core.actions.permissions.UseTablePermissionCustomPermissionChecker;
+import com.kingsrook.qqq.backend.core.actions.tables.InsertAction;
+import com.kingsrook.qqq.backend.core.actions.tables.QueryAction;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLine;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLineInterface;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepInput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepOutput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.Status;
+import com.kingsrook.qqq.backend.core.model.actions.tables.insert.InsertInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.metadata.QInstance;
+import com.kingsrook.qqq.backend.core.model.metadata.layout.QIcon;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.PermissionLevel;
+import com.kingsrook.qqq.backend.core.model.metadata.permissions.QPermissionRules;
+import com.kingsrook.qqq.backend.core.model.metadata.processes.QProcessMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.tables.QTableMetaData;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractExtractStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractLoadStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractTransformStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.ProcessSummaryProviderInterface;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.StreamedETLWithFrontendProcess;
+
+
+/*******************************************************************************
+ ** "Create rows for analyzable tables": a table action on Analysis Settings
+ ** that writes one row per analyzable table that has none yet, holding the
+ ** settings that already apply to it (code defaults for that table, then the
+ ** global defaults). It changes no behavior on its own: it makes the defaults
+ ** visible and editable. Existing rows are never touched. Standard streamed
+ ** ETL: Review lists what will be added, Result what was added.
+ *******************************************************************************/
+public final class TableConfigDefaultsProcess
+{
+   public static final String NAME = "data_analysis_table_config_create_rows";
+
+
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private TableConfigDefaultsProcess()
+   {
+   }
+
+
+
+   /*******************************************************************************
+    ** The process: a table-level action (no records need to be selected). Only
+    ** people who may insert Analysis Settings see it; the steps enforce the table
+    ** permissions again.
+    *******************************************************************************/
+   public static QProcessMetaData process()
+   {
+      Map<String, Serializable> values = new HashMap<>();
+      values.put(StreamedETLWithFrontendProcess.FIELD_SOURCE_TABLE, DataAnalysisTables.TABLE_CONFIG);
+      values.put(StreamedETLWithFrontendProcess.FIELD_DESTINATION_TABLE, DataAnalysisTables.TABLE_CONFIG);
+      values.put(StreamedETLWithFrontendProcess.FIELD_SUPPORTS_FULL_VALIDATION, false);
+      values.put(StreamedETLWithFrontendProcess.FIELD_PREVIEW_MESSAGE,
+         "These rows will be added: one per analyzable table that has none, holding the settings that already apply. Existing rows are not changed.");
+      QProcessMetaData process = StreamedETLWithFrontendProcess.defineProcessMetaData(Extract.class, Transform.class, Load.class, values);
+      process.setName(NAME);
+      process.setLabel("Create rows for analyzable tables");
+      process.setIcon(new QIcon("playlist_add"));
+      process.setTableName(DataAnalysisTables.TABLE_CONFIG);
+      process.setMinInputRecords(0);
+      process.setPermissionRules(new QPermissionRules().withLevel(PermissionLevel.NOT_PROTECTED)
+         .withCustomPermissionChecker(UseTablePermissionCustomPermissionChecker.build(DataAnalysisTables.TABLE_CONFIG, TablePermissionSubType.INSERT)));
+      return (process);
+   }
+
+
+
+   /*******************************************************************************
+    ** The tables analysis may be used on: everything but the qbit's own tables,
+    ** limited by the includeTables and excludeTables configuration. The same test
+    ** the "analyze" table permission uses.
+    *******************************************************************************/
+   public static List<String> analyzableTables(QInstance instance, DataAnalysisQBitConfig config)
+   {
+      return (instance.getTables().values().stream().map(QTableMetaData::getName)
+         .filter(name -> !name.startsWith(DataAnalysisQBitConfig.TABLE_NAME_PREFIX))
+         .filter(name -> config.getIncludeTables().isEmpty() || config.getIncludeTables().contains(name))
+         .filter(name -> !config.getExcludeTables().contains(name)).sorted().toList());
+   }
+
+
+
+   /*******************************************************************************
+    ** The rows that are missing: one per analyzable table without a row, with
+    ** the effective settings (the same values EffectiveConfigResolver produces).
+    *******************************************************************************/
+   public static List<QRecord> missingRows(QInstance instance, DataAnalysisQBitConfig config) throws QException
+   {
+      Set<String> existing = existingTables();
+      DataAnalysisRuntime.service().getConfigResolver().invalidate();
+      List<QRecord> rows = new ArrayList<>();
+      for(String table : analyzableTables(instance, config))
+      {
+         if(!existing.contains(table))
+         {
+            EffectiveConfig c = DataAnalysisRuntime.service().getConfigResolver().resolve(table);
+            rows.add(new QRecord().withValue("table_name", table).withValue("enabled", c.getEnabled()).withValue("max_rows", c.getMaxRows())
+               .withValue("sample_threshold_rows", c.getSampleThresholdRows()).withValue("sample_rows", c.getSampleRows())
+               .withValue("min_group_size", c.getMinGroupSize()).withValue("cache_ttl_minutes", c.getCacheTtlMinutes())
+               .withValue("analyzable_fields", c.getAnalyzableFields().isEmpty() ? null : String.join(",", new TreeSet<>(c.getAnalyzableFields())))
+               .withValue("excluded_fields", c.getExcludedFields().isEmpty() ? null : String.join(",", new TreeSet<>(c.getExcludedFields()))));
+         }
+      }
+      return (rows);
+   }
+
+
+
+   /*******************************************************************************
+    ** Table names that already have a settings row (read as the signed-in user).
+    *******************************************************************************/
+   private static Set<String> existingTables() throws QException
+   {
+      QueryInput input = new QueryInput(DataAnalysisTables.TABLE_CONFIG).withFilter(new QQueryFilter());
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      Set<String> existing = new HashSet<>();
+      new QueryAction().execute(input).getRecords().forEach(row -> existing.add(row.getValueString("table_name")));
+      return (existing);
+   }
+
+
+
+   /*******************************************************************************
+    ** Extract: the missing rows, computed (no query of the selected records).
+    *******************************************************************************/
+   public static class Extract extends AbstractExtractStep
+   {
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public Integer doCount(RunBackendStepInput input) throws QException
+      {
+         return (missingRows(QContext.getQInstance(), DataAnalysisRuntime.service().getConfigResolver().getDefaults()).size());
+      }
+
+
+
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public void run(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         for(QRecord row : missingRows(QContext.getQInstance(), DataAnalysisRuntime.service().getConfigResolver().getDefaults()))
+         {
+            getRecordPipe().addRecord(row);
+         }
+      }
+   }
+
+
+
+   /*******************************************************************************
+    ** Transform: lists what will be added for the review screen.
+    *******************************************************************************/
+   public static class Transform extends AbstractTransformStep implements ProcessSummaryProviderInterface
+   {
+      private final ProcessSummaryLine added = line(Status.OK, "table will get a settings row", "tables will get a settings row",
+         "table got a settings row", "tables got a settings row");
+
+
+
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         for(QRecord record : input.getRecords())
+         {
+            added.incrementCount();
+            output.getRecords().add(record);
+         }
+      }
+
+
+
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean isForResultScreen)
+      {
+         ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+         added.addSelfToListIfAnyCount(lines);
+         if(lines.isEmpty())
+         {
+            lines.add(new ProcessSummaryLine(Status.INFO, null, "Every analyzable table already has a settings row."));
+         }
+         return (lines);
+      }
+   }
+
+
+
+   /*******************************************************************************
+    ** Load: insert through the standard action with the user's own permissions.
+    *******************************************************************************/
+   public static class Load extends AbstractLoadStep implements ProcessSummaryProviderInterface
+   {
+      private final ProcessSummaryLine created = line(Status.OK, "row was added", "rows were added", "row was added", "rows were added");
+
+
+
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         InsertInput insert = new InsertInput(DataAnalysisTables.TABLE_CONFIG).withRecords(input.getRecords());
+         insert.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+         for(QRecord record : new InsertAction().execute(insert).getRecords())
+         {
+            if(record.getErrors() != null && !record.getErrors().isEmpty())
+            {
+               throw (new QException("Could not add analysis settings: " + record.getErrors()));
+            }
+            created.incrementCount();
+            output.getRecords().add(record);
+         }
+         DataAnalysisRuntime.service().getConfigResolver().invalidate();
+      }
+
+
+
+      /*******************************************************************************
+       **
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean isForResultScreen)
+      {
+         ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+         created.addSelfToListIfAnyCount(lines);
+         return (lines);
+      }
+   }
+
+
+
+   /*******************************************************************************
+    ** A summary line with its four messages.
+    *******************************************************************************/
+   private static ProcessSummaryLine line(Status status, String singularFuture, String pluralFuture, String singularPast, String pluralPast)
+   {
+      ProcessSummaryLine line = new ProcessSummaryLine(status, 0, null);
+      line.setSingularFutureMessage(singularFuture);
+      line.setPluralFutureMessage(pluralFuture);
+      line.setSingularPastMessage(singularPast);
+      line.setPluralPastMessage(pluralPast);
+      return (line);
+   }
+
+}

src/main/java/com/kingsrook/qbits/dataanalysis/processes/WatchActions.java

@@ -0,0 +1,186 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.processes;
+
+import java.time.Instant;
+import java.util.ArrayList;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisRuntime;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionsHelper;
+import com.kingsrook.qqq.backend.core.actions.permissions.TablePermissionSubType;
+import com.kingsrook.qqq.backend.core.actions.processes.BackendStep;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLine;
+import com.kingsrook.qqq.backend.core.model.actions.processes.ProcessSummaryLineInterface;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepInput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.RunBackendStepOutput;
+import com.kingsrook.qqq.backend.core.model.actions.processes.Status;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractLoadStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.AbstractTransformStep;
+import com.kingsrook.qqq.backend.core.processes.implementations.etl.streamedwithfrontend.ProcessSummaryProviderInterface;
+
+/*******************************************************************************
+ ** Ordinary streamed ETL Review/Result steps; no custom forms or navigation.
+ *******************************************************************************/
+public final class WatchActions
+{
+   public static final String EVALUATE = "data_analysis_watch_evaluate";
+   public static final String ENABLE = "data_analysis_watch_enable";
+   public static final String DISABLE = "data_analysis_watch_disable";
+   public static final String SCHEDULED = "data_analysis_evaluate_watches";
+
+   /*******************************************************************************
+    ** Steps only.
+    *******************************************************************************/
+   private WatchActions()
+   {
+   }
+
+   /*******************************************************************************
+    ** Preview selected records without evaluating or mutating them.
+    *******************************************************************************/
+   public static class Review extends AbstractTransformStep implements ProcessSummaryProviderInterface
+   {
+      private final ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+
+      /*******************************************************************************
+       ** Extract runs as caller; enforce EDIT before promising any action.
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         if(!PermissionsHelper.hasTablePermission(new UpdateInput(DataAnalysisTables.WATCH), DataAnalysisTables.WATCH, TablePermissionSubType.EDIT))
+         {
+            throw new QPermissionDeniedException("Watch editing is unavailable.");
+         }
+         String verb = verb(input.getProcessName());
+         for(QRecord record : input.getRecords())
+         {
+            lines.add(new ProcessSummaryLine(Status.INFO, null, "Watch " + record.getValueString("id") + " (" + record.getValueString("detector") + ") will be " + verb + "."));
+            output.addRecord(record);
+         }
+      }
+
+      /*******************************************************************************
+       ** Standard summary lines are rendered by the core Review screen.
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean result)
+      {
+         return (result ? new ArrayList<>() : lines);
+      }
+   }
+
+   /*******************************************************************************
+    ** Apply selected records and report exact evaluated/firing/OK/skipped counts.
+    *******************************************************************************/
+   public static class Result extends AbstractLoadStep implements ProcessSummaryProviderInterface
+   {
+      private int done;
+      private int firing;
+      private int ok;
+      private String process;
+      private final ArrayList<ProcessSummaryLineInterface> failures = new ArrayList<>();
+
+      /*******************************************************************************
+       ** Re-read and authorize each id when executing after Review.
+       *******************************************************************************/
+      @Override
+      public void runOnePage(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         process = input.getProcessName();
+         verb(process);
+         for(QRecord record : input.getRecords())
+         {
+            try
+            {
+               if(EVALUATE.equals(process))
+               {
+                  var verdict = DataAnalysisRuntime.watches().evaluate(record.getValue("id"), Instant.now());
+                  if(!verdict.evaluated())
+                  {
+                     failures.add(new ProcessSummaryLine(Status.WARNING, null, "Watch " + record.getValueString("id") + " skipped: " + verdict.message()));
+                     continue;
+                  }
+                  firing += verdict.firing() ? 1 : 0;
+                  ok += verdict.firing() ? 0 : 1;
+               }
+               else
+               {
+                  DataAnalysisRuntime.watches().setEnabled(record.getValue("id"), ENABLE.equals(process));
+               }
+               done++;
+               output.addRecord(record);
+            }
+            catch(QException e)
+            {
+               failures.add(new ProcessSummaryLine(Status.ERROR, null, "Watch " + record.getValueString("id") + " failed: " + e.getMessage()));
+            }
+         }
+      }
+
+      /*******************************************************************************
+       ** Counts span all streamed pages, so the Result screen is a true total.
+       *******************************************************************************/
+      @Override
+      public ArrayList<ProcessSummaryLineInterface> getProcessSummary(RunBackendStepOutput output, boolean result)
+      {
+         ArrayList<ProcessSummaryLineInterface> lines = new ArrayList<>();
+         String message = done + (done == 1 ? " watch " : " watches ") + (EVALUATE.equals(process) ? "evaluated: " + firing + " firing, " + ok + " OK"
+            : ENABLE.equals(process) ? "enabled" : "disabled");
+         lines.add(new ProcessSummaryLine(Status.OK, null, message));
+         lines.addAll(failures);
+         return (lines);
+      }
+   }
+
+   /*******************************************************************************
+    ** Scheduler invokes a hidden backend-only process every fifteen minutes.
+    *******************************************************************************/
+   public static class Scheduled implements BackendStep
+   {
+      /*******************************************************************************
+       ** Store the real count of successfully evaluated enabled watches.
+       *******************************************************************************/
+      @Override
+      public void run(RunBackendStepInput input, RunBackendStepOutput output) throws QException
+      {
+         output.addValue("count", DataAnalysisRuntime.watches().evaluateEnabled(Instant.now()));
+      }
+   }
+
+   /*******************************************************************************
+    ** Reject unknown processes instead of silently choosing a mutation.
+    *******************************************************************************/
+   private static String verb(String process) throws QException
+   {
+      return (switch(process)
+      {
+         case EVALUATE -> "evaluated";
+         case ENABLE -> "enabled";
+         case DISABLE -> "disabled";
+         default -> throw new QException("Unknown watch action.");
+      });
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/Chart.java

@@ -33,6 +33,7 @@ import com.fasterxml.jackson.annotation.JsonAutoDetect;
 public class Chart implements Serializable
 {
    private ChartKind kind;
+   private Boolean stacked;
    private List<ChartKind> alternatives = List.of();
    private Axis x;
    private Axis y;
@@ -164,4 +165,21 @@ public class Chart implements Serializable
       this.annotations = annotations;
       return (this);
    }
+
+   /*******************************************************************************
+    ** Whether category series should stack to a total share of one.
+    *******************************************************************************/
+   public Boolean getStacked()
+   {
+      return (stacked);
+   }
+
+   /*******************************************************************************
+    ** Declare stacked shares explicitly rather than relying on chart prose.
+    *******************************************************************************/
+   public Chart withStacked(Boolean stacked)
+   {
+      this.stacked = stacked;
+      return (this);
+   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/result/CompareRequest.java

@@ -0,0 +1,213 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed CompareRequest contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CompareRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private QQueryFilter filterA;
+   private QQueryFilter filterB;
+   private String labelA = "A";
+   private String labelB = "B";
+   private List<String> fields;
+
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public CompareRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public CompareRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public CompareRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filterA.
+    *******************************************************************************/
+   public QQueryFilter getFilterA()
+   {
+      return (filterA);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filterA.
+    *******************************************************************************/
+   public CompareRequest withFilterA(QQueryFilter filterA)
+   {
+      this.filterA = filterA;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filterB.
+    *******************************************************************************/
+   public QQueryFilter getFilterB()
+   {
+      return (filterB);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filterB.
+    *******************************************************************************/
+   public CompareRequest withFilterB(QQueryFilter filterB)
+   {
+      this.filterB = filterB;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for labelA.
+    *******************************************************************************/
+   public String getLabelA()
+   {
+      return (labelA);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for labelA.
+    *******************************************************************************/
+   public CompareRequest withLabelA(String labelA)
+   {
+      this.labelA = labelA;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for labelB.
+    *******************************************************************************/
+   public String getLabelB()
+   {
+      return (labelB);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for labelB.
+    *******************************************************************************/
+   public CompareRequest withLabelB(String labelB)
+   {
+      this.labelB = labelB;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for fields.
+    *******************************************************************************/
+   public List<String> getFields()
+   {
+      return (fields);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for fields.
+    *******************************************************************************/
+   public CompareRequest withFields(List<String> fields)
+   {
+      this.fields = fields;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CompareResult.java

@@ -0,0 +1,55 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed CompareResult contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CompareResult implements Serializable
+{
+   private List<FieldComparison> fields = new java.util.ArrayList<>();
+
+
+
+   /*******************************************************************************
+    ** Getter for fields.
+    *******************************************************************************/
+   public List<FieldComparison> getFields()
+   {
+      return (fields);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for fields.
+    *******************************************************************************/
+   public CompareResult withFields(List<FieldComparison> fields)
+   {
+      this.fields = fields;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ComparisonSide.java

@@ -0,0 +1,77 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed ComparisonSide contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ComparisonSide implements Serializable
+{
+   private String label;
+   private List<Metric> metrics = new java.util.ArrayList<>();
+
+
+
+   /*******************************************************************************
+    ** Getter for label.
+    *******************************************************************************/
+   public String getLabel()
+   {
+      return (label);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for label.
+    *******************************************************************************/
+   public ComparisonSide withLabel(String label)
+   {
+      this.label = label;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for metrics.
+    *******************************************************************************/
+   public List<Metric> getMetrics()
+   {
+      return (metrics);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for metrics.
+    *******************************************************************************/
+   public ComparisonSide withMetrics(List<Metric> metrics)
+   {
+      this.metrics = metrics;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ComparisonValue.java

@@ -0,0 +1,186 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed ComparisonValue contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ComparisonValue implements Serializable
+{
+   private Serializable value;
+   private String label;
+   private ComparisonSide sideA;
+   private ComparisonSide sideB;
+   private Metric delta;
+   private Metric percentDelta;
+   private Significance significance;
+
+
+
+   /*******************************************************************************
+    ** Getter for value.
+    *******************************************************************************/
+   public Serializable getValue()
+   {
+      return (value);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for value.
+    *******************************************************************************/
+   public ComparisonValue withValue(Serializable value)
+   {
+      this.value = value;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for label.
+    *******************************************************************************/
+   public String getLabel()
+   {
+      return (label);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for label.
+    *******************************************************************************/
+   public ComparisonValue withLabel(String label)
+   {
+      this.label = label;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sideA.
+    *******************************************************************************/
+   public ComparisonSide getSideA()
+   {
+      return (sideA);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sideA.
+    *******************************************************************************/
+   public ComparisonValue withSideA(ComparisonSide sideA)
+   {
+      this.sideA = sideA;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sideB.
+    *******************************************************************************/
+   public ComparisonSide getSideB()
+   {
+      return (sideB);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sideB.
+    *******************************************************************************/
+   public ComparisonValue withSideB(ComparisonSide sideB)
+   {
+      this.sideB = sideB;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for delta.
+    *******************************************************************************/
+   public Metric getDelta()
+   {
+      return (delta);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for delta.
+    *******************************************************************************/
+   public ComparisonValue withDelta(Metric delta)
+   {
+      this.delta = delta;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for percentDelta.
+    *******************************************************************************/
+   public Metric getPercentDelta()
+   {
+      return (percentDelta);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for percentDelta.
+    *******************************************************************************/
+   public ComparisonValue withPercentDelta(Metric percentDelta)
+   {
+      this.percentDelta = percentDelta;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for significance.
+    *******************************************************************************/
+   public Significance getSignificance()
+   {
+      return (significance);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for significance.
+    *******************************************************************************/
+   public ComparisonValue withSignificance(Significance significance)
+   {
+      this.significance = significance;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CorrelationCell.java

@@ -0,0 +1,142 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed CorrelationCell contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CorrelationCell implements Serializable
+{
+   private String xField;
+   private String yField;
+   private Long n;
+   private Double r;
+   private ScatterRequest scatter;
+
+
+
+   /*******************************************************************************
+    ** Getter for xField.
+    *******************************************************************************/
+   public String getXField()
+   {
+      return (xField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for xField.
+    *******************************************************************************/
+   public CorrelationCell withXField(String xField)
+   {
+      this.xField = xField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for yField.
+    *******************************************************************************/
+   public String getYField()
+   {
+      return (yField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for yField.
+    *******************************************************************************/
+   public CorrelationCell withYField(String yField)
+   {
+      this.yField = yField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for n.
+    *******************************************************************************/
+   public Long getN()
+   {
+      return (n);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for n.
+    *******************************************************************************/
+   public CorrelationCell withN(Long n)
+   {
+      this.n = n;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for r.
+    *******************************************************************************/
+   public Double getR()
+   {
+      return (r);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for r.
+    *******************************************************************************/
+   public CorrelationCell withR(Double r)
+   {
+      this.r = r;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for scatter.
+    *******************************************************************************/
+   public ScatterRequest getScatter()
+   {
+      return (scatter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for scatter.
+    *******************************************************************************/
+   public CorrelationCell withScatter(ScatterRequest scatter)
+   {
+      this.scatter = scatter;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CorrelationRequest.java

@@ -0,0 +1,125 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed CorrelationRequest contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CorrelationRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private List<String> fields;
+
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public CorrelationRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public CorrelationRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public CorrelationRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for fields.
+    *******************************************************************************/
+   public List<String> getFields()
+   {
+      return (fields);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for fields.
+    *******************************************************************************/
+   public CorrelationRequest withFields(List<String> fields)
+   {
+      this.fields = fields;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CorrelationResult.java

@@ -0,0 +1,99 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed CorrelationResult contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CorrelationResult implements Serializable
+{
+   private List<String> fields;
+   private List<CorrelationCell> cells = new java.util.ArrayList<>();
+   private Chart chart;
+
+
+
+   /*******************************************************************************
+    ** Getter for fields.
+    *******************************************************************************/
+   public List<String> getFields()
+   {
+      return (fields);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for fields.
+    *******************************************************************************/
+   public CorrelationResult withFields(List<String> fields)
+   {
+      this.fields = fields;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for cells.
+    *******************************************************************************/
+   public List<CorrelationCell> getCells()
+   {
+      return (cells);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for cells.
+    *******************************************************************************/
+   public CorrelationResult withCells(List<CorrelationCell> cells)
+   {
+      this.cells = cells;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for chart.
+    *******************************************************************************/
+   public Chart getChart()
+   {
+      return (chart);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for chart.
+    *******************************************************************************/
+   public CorrelationResult withChart(Chart chart)
+   {
+      this.chart = chart;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CrosstabCell.java

@@ -0,0 +1,142 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed CrosstabCell contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CrosstabCell implements Serializable
+{
+   private Integer rowIndex;
+   private Integer columnIndex;
+   private Metric count;
+   private Metric rowShare;
+   private Metric columnShare;
+
+
+
+   /*******************************************************************************
+    ** Getter for rowIndex.
+    *******************************************************************************/
+   public Integer getRowIndex()
+   {
+      return (rowIndex);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for rowIndex.
+    *******************************************************************************/
+   public CrosstabCell withRowIndex(Integer rowIndex)
+   {
+      this.rowIndex = rowIndex;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for columnIndex.
+    *******************************************************************************/
+   public Integer getColumnIndex()
+   {
+      return (columnIndex);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for columnIndex.
+    *******************************************************************************/
+   public CrosstabCell withColumnIndex(Integer columnIndex)
+   {
+      this.columnIndex = columnIndex;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for count.
+    *******************************************************************************/
+   public Metric getCount()
+   {
+      return (count);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for count.
+    *******************************************************************************/
+   public CrosstabCell withCount(Metric count)
+   {
+      this.count = count;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for rowShare.
+    *******************************************************************************/
+   public Metric getRowShare()
+   {
+      return (rowShare);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for rowShare.
+    *******************************************************************************/
+   public CrosstabCell withRowShare(Metric rowShare)
+   {
+      this.rowShare = rowShare;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for columnShare.
+    *******************************************************************************/
+   public Metric getColumnShare()
+   {
+      return (columnShare);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for columnShare.
+    *******************************************************************************/
+   public CrosstabCell withColumnShare(Metric columnShare)
+   {
+      this.columnShare = columnShare;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CrosstabRequest.java

@@ -0,0 +1,168 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed CrosstabRequest contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CrosstabRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private String rowField;
+   private String columnField;
+   private Integer limit = 20;
+
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public CrosstabRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public CrosstabRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public CrosstabRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for rowField.
+    *******************************************************************************/
+   public String getRowField()
+   {
+      return (rowField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for rowField.
+    *******************************************************************************/
+   public CrosstabRequest withRowField(String rowField)
+   {
+      this.rowField = rowField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for columnField.
+    *******************************************************************************/
+   public String getColumnField()
+   {
+      return (columnField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for columnField.
+    *******************************************************************************/
+   public CrosstabRequest withColumnField(String columnField)
+   {
+      this.columnField = columnField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for limit.
+    *******************************************************************************/
+   public Integer getLimit()
+   {
+      return (limit);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for limit.
+    *******************************************************************************/
+   public CrosstabRequest withLimit(Integer limit)
+   {
+      this.limit = limit;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/CrosstabResult.java

@@ -0,0 +1,121 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed CrosstabResult contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class CrosstabResult implements Serializable
+{
+   private List<PivotHeader> rows = new java.util.ArrayList<>();
+   private List<PivotHeader> columns = new java.util.ArrayList<>();
+   private List<CrosstabCell> cells = new java.util.ArrayList<>();
+   private Significance significance;
+
+
+
+   /*******************************************************************************
+    ** Getter for rows.
+    *******************************************************************************/
+   public List<PivotHeader> getRows()
+   {
+      return (rows);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for rows.
+    *******************************************************************************/
+   public CrosstabResult withRows(List<PivotHeader> rows)
+   {
+      this.rows = rows;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for columns.
+    *******************************************************************************/
+   public List<PivotHeader> getColumns()
+   {
+      return (columns);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for columns.
+    *******************************************************************************/
+   public CrosstabResult withColumns(List<PivotHeader> columns)
+   {
+      this.columns = columns;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for cells.
+    *******************************************************************************/
+   public List<CrosstabCell> getCells()
+   {
+      return (cells);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for cells.
+    *******************************************************************************/
+   public CrosstabResult withCells(List<CrosstabCell> cells)
+   {
+      this.cells = cells;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for significance.
+    *******************************************************************************/
+   public Significance getSignificance()
+   {
+      return (significance);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for significance.
+    *******************************************************************************/
+   public CrosstabResult withSignificance(Significance significance)
+   {
+      this.significance = significance;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/DuplicatesRequest.java

@@ -36,6 +36,7 @@ public class DuplicatesRequest implements AnalysisRequest
    private QQueryFilter filter;
    private Boolean exact = false;
    private List<String> fields;
+   private Integer limit = 50;
 
 
 
@@ -120,4 +121,21 @@ public class DuplicatesRequest implements AnalysisRequest
       this.fields = fields;
       return (this);
    }
+
+   /*******************************************************************************
+    ** Maximum duplicate groups requested.
+    *******************************************************************************/
+   public Integer getLimit()
+   {
+      return (limit);
+   }
+
+   /*******************************************************************************
+    ** Fluent duplicate group limit.
+    *******************************************************************************/
+   public DuplicatesRequest withLimit(Integer limit)
+   {
+      this.limit = limit;
+      return (this);
+   }
 }

src/main/java/com/kingsrook/qbits/dataanalysis/result/FieldComparison.java

@@ -0,0 +1,121 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed FieldComparison contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class FieldComparison implements Serializable
+{
+   private String field;
+   private List<ComparisonValue> values = new java.util.ArrayList<>();
+   private Significance significance;
+   private Chart chart;
+
+
+
+   /*******************************************************************************
+    ** Getter for field.
+    *******************************************************************************/
+   public String getField()
+   {
+      return (field);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for field.
+    *******************************************************************************/
+   public FieldComparison withField(String field)
+   {
+      this.field = field;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for values.
+    *******************************************************************************/
+   public List<ComparisonValue> getValues()
+   {
+      return (values);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for values.
+    *******************************************************************************/
+   public FieldComparison withValues(List<ComparisonValue> values)
+   {
+      this.values = values;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for significance.
+    *******************************************************************************/
+   public Significance getSignificance()
+   {
+      return (significance);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for significance.
+    *******************************************************************************/
+   public FieldComparison withSignificance(Significance significance)
+   {
+      this.significance = significance;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for chart.
+    *******************************************************************************/
+   public Chart getChart()
+   {
+      return (chart);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for chart.
+    *******************************************************************************/
+   public FieldComparison withChart(Chart chart)
+   {
+      this.chart = chart;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/Metric.java

@@ -31,6 +31,7 @@ import com.fasterxml.jackson.annotation.JsonAutoDetect;
 @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
 public class Metric implements Serializable
 {
+   private Boolean estimate = false;
    private String key;
    private String label;
    private Serializable value;
@@ -42,6 +43,23 @@ public class Metric implements Serializable
 
 
 
+   /*******************************************************************************
+    ** Whether the metric describes a sampled estimate.
+    *******************************************************************************/
+   public Boolean getEstimate()
+   {
+      return (estimate);
+   }
+
+   /*******************************************************************************
+    ** Mark an estimated metric independently of the exact population row total.
+    *******************************************************************************/
+   public Metric withEstimate(Boolean estimate)
+   {
+      this.estimate = estimate;
+      return (this);
+   }
+
    /*******************************************************************************
     ** Getter for key.
     *******************************************************************************/

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotCell.java

@@ -0,0 +1,89 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotCell contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotCell implements Serializable
+{
+   private Integer rowIndex;
+   private Integer columnIndex;
+   private List<Metric> values = new ArrayList<>();
+
+
+   /*******************************************************************************
+    ** Getter for rowIndex.
+    *******************************************************************************/
+   public Integer getRowIndex()
+   {
+      return (rowIndex);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for rowIndex.
+    *******************************************************************************/
+   public PivotCell withRowIndex(Integer rowIndex)
+   {
+      this.rowIndex = rowIndex;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for columnIndex.
+    *******************************************************************************/
+   public Integer getColumnIndex()
+   {
+      return (columnIndex);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for columnIndex.
+    *******************************************************************************/
+   public PivotCell withColumnIndex(Integer columnIndex)
+   {
+      this.columnIndex = columnIndex;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for values.
+    *******************************************************************************/
+   public List<Metric> getValues()
+   {
+      return (values);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for values.
+    *******************************************************************************/
+   public PivotCell withValues(List<Metric> values)
+   {
+      this.values = values;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotDimension.java

@@ -0,0 +1,88 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.DateBucketUnit;
+
+/*******************************************************************************
+ ** Typed PivotDimension contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotDimension implements Serializable
+{
+   private String field;
+   private DateBucketUnit dateBucket;
+   private PivotNumericBins numericBins;
+
+
+   /*******************************************************************************
+    ** Getter for field.
+    *******************************************************************************/
+   public String getField()
+   {
+      return (field);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for field.
+    *******************************************************************************/
+   public PivotDimension withField(String field)
+   {
+      this.field = field;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for dateBucket.
+    *******************************************************************************/
+   public DateBucketUnit getDateBucket()
+   {
+      return (dateBucket);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for dateBucket.
+    *******************************************************************************/
+   public PivotDimension withDateBucket(DateBucketUnit dateBucket)
+   {
+      this.dateBucket = dateBucket;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for numericBins.
+    *******************************************************************************/
+   public PivotNumericBins getNumericBins()
+   {
+      return (numericBins);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for numericBins.
+    *******************************************************************************/
+   public PivotDimension withNumericBins(PivotNumericBins numericBins)
+   {
+      this.numericBins = numericBins;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotHeader.java

@@ -0,0 +1,69 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotHeader contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotHeader implements Serializable
+{
+   private Serializable value;
+   private String label;
+
+
+   /*******************************************************************************
+    ** Getter for value.
+    *******************************************************************************/
+   public Serializable getValue()
+   {
+      return (value);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for value.
+    *******************************************************************************/
+   public PivotHeader withValue(Serializable value)
+   {
+      this.value = value;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for label.
+    *******************************************************************************/
+   public String getLabel()
+   {
+      return (label);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for label.
+    *******************************************************************************/
+   public PivotHeader withLabel(String label)
+   {
+      this.label = label;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotMeasure.java

@@ -0,0 +1,95 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotMeasure contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotMeasure implements Serializable
+{
+   private Operator operator;
+   private String field;
+   private BigDecimal percentile;
+
+   /*******************************************************************************
+    ** Supported pivot measures. COUNT counts records, regardless of field nulls.
+    *******************************************************************************/
+   public enum Operator
+   {
+      COUNT, SUM, AVG, MIN, MAX, COUNT_DISTINCT, PERCENTILE
+   }
+
+   /*******************************************************************************
+    ** Getter for operator.
+    *******************************************************************************/
+   public Operator getOperator()
+   {
+      return (operator);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for operator.
+    *******************************************************************************/
+   public PivotMeasure withOperator(Operator operator)
+   {
+      this.operator = operator;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for field.
+    *******************************************************************************/
+   public String getField()
+   {
+      return (field);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for field.
+    *******************************************************************************/
+   public PivotMeasure withField(String field)
+   {
+      this.field = field;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for percentile.
+    *******************************************************************************/
+   public BigDecimal getPercentile()
+   {
+      return (percentile);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for percentile.
+    *******************************************************************************/
+   public PivotMeasure withPercentile(BigDecimal percentile)
+   {
+      this.percentile = percentile;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotMeasureInfo.java

@@ -0,0 +1,87 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotMeasureInfo contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotMeasureInfo implements Serializable
+{
+   private String key;
+   private String label;
+   private ValueType valueType;
+
+
+   /*******************************************************************************
+    ** Getter for key.
+    *******************************************************************************/
+   public String getKey()
+   {
+      return (key);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for key.
+    *******************************************************************************/
+   public PivotMeasureInfo withKey(String key)
+   {
+      this.key = key;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for label.
+    *******************************************************************************/
+   public String getLabel()
+   {
+      return (label);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for label.
+    *******************************************************************************/
+   public PivotMeasureInfo withLabel(String label)
+   {
+      this.label = label;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for valueType.
+    *******************************************************************************/
+   public ValueType getValueType()
+   {
+      return (valueType);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for valueType.
+    *******************************************************************************/
+   public PivotMeasureInfo withValueType(ValueType valueType)
+   {
+      this.valueType = valueType;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotNumericBins.java

@@ -0,0 +1,88 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.math.BigDecimal;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotNumericBins contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotNumericBins implements Serializable
+{
+   private Integer count = 20;
+   private BigDecimal min;
+   private BigDecimal max;
+
+
+   /*******************************************************************************
+    ** Getter for count.
+    *******************************************************************************/
+   public Integer getCount()
+   {
+      return (count);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for count.
+    *******************************************************************************/
+   public PivotNumericBins withCount(Integer count)
+   {
+      this.count = count;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for min.
+    *******************************************************************************/
+   public BigDecimal getMin()
+   {
+      return (min);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for min.
+    *******************************************************************************/
+   public PivotNumericBins withMin(BigDecimal min)
+   {
+      this.min = min;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for max.
+    *******************************************************************************/
+   public BigDecimal getMax()
+   {
+      return (max);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for max.
+    *******************************************************************************/
+   public PivotNumericBins withMax(BigDecimal max)
+   {
+      this.max = max;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotRequest.java

@@ -0,0 +1,182 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.util.ArrayList;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed PivotRequest contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private List<PivotDimension> rows = new ArrayList<>();
+   private List<PivotDimension> columns = new ArrayList<>();
+   private List<PivotMeasure> values = new ArrayList<>();
+   private Boolean showTotals = true;
+   private Integer limitGroups = 50;
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public PivotRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public PivotRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public PivotRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for rows.
+    *******************************************************************************/
+   public List<PivotDimension> getRows()
+   {
+      return (rows);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for rows.
+    *******************************************************************************/
+   public PivotRequest withRows(List<PivotDimension> rows)
+   {
+      this.rows = rows;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for columns.
+    *******************************************************************************/
+   public List<PivotDimension> getColumns()
+   {
+      return (columns);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for columns.
+    *******************************************************************************/
+   public PivotRequest withColumns(List<PivotDimension> columns)
+   {
+      this.columns = columns;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for values.
+    *******************************************************************************/
+   public List<PivotMeasure> getValues()
+   {
+      return (values);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for values.
+    *******************************************************************************/
+   public PivotRequest withValues(List<PivotMeasure> values)
+   {
+      this.values = values;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for showTotals.
+    *******************************************************************************/
+   public Boolean getShowTotals()
+   {
+      return (showTotals);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for showTotals.
+    *******************************************************************************/
+   public PivotRequest withShowTotals(Boolean showTotals)
+   {
+      this.showTotals = showTotals;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for limitGroups.
+    *******************************************************************************/
+   public Integer getLimitGroups()
+   {
+      return (limitGroups);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for limitGroups.
+    *******************************************************************************/
+   public PivotRequest withLimitGroups(Integer limitGroups)
+   {
+      this.limitGroups = limitGroups;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/PivotResult.java

@@ -0,0 +1,252 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.time.Instant;
+import java.util.ArrayList;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed PivotResult contract.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY)
+public class PivotResult implements Serializable
+{
+   private List<List<PivotHeader>> rowHeaders = new ArrayList<>();
+   private List<List<PivotHeader>> columnHeaders = new ArrayList<>();
+   private List<PivotMeasureInfo> measures = new ArrayList<>();
+   private List<PivotCell> cells = new ArrayList<>();
+   private List<List<Metric>> rowTotals = new ArrayList<>();
+   private List<List<Metric>> columnTotals = new ArrayList<>();
+   private List<Metric> grandTotals = new ArrayList<>();
+   private Boolean truncatedRows = false;
+   private Boolean truncatedColumns = false;
+   private Boolean estimate = false;
+   private List<String> warnings = new ArrayList<>();
+   private Instant asOf;
+
+
+   /*******************************************************************************
+    ** Getter for rowHeaders.
+    *******************************************************************************/
+   public List<List<PivotHeader>> getRowHeaders()
+   {
+      return (rowHeaders);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for rowHeaders.
+    *******************************************************************************/
+   public PivotResult withRowHeaders(List<List<PivotHeader>> rowHeaders)
+   {
+      this.rowHeaders = rowHeaders;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for columnHeaders.
+    *******************************************************************************/
+   public List<List<PivotHeader>> getColumnHeaders()
+   {
+      return (columnHeaders);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for columnHeaders.
+    *******************************************************************************/
+   public PivotResult withColumnHeaders(List<List<PivotHeader>> columnHeaders)
+   {
+      this.columnHeaders = columnHeaders;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for measures.
+    *******************************************************************************/
+   public List<PivotMeasureInfo> getMeasures()
+   {
+      return (measures);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for measures.
+    *******************************************************************************/
+   public PivotResult withMeasures(List<PivotMeasureInfo> measures)
+   {
+      this.measures = measures;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for cells.
+    *******************************************************************************/
+   public List<PivotCell> getCells()
+   {
+      return (cells);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for cells.
+    *******************************************************************************/
+   public PivotResult withCells(List<PivotCell> cells)
+   {
+      this.cells = cells;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for rowTotals.
+    *******************************************************************************/
+   public List<List<Metric>> getRowTotals()
+   {
+      return (rowTotals);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for rowTotals.
+    *******************************************************************************/
+   public PivotResult withRowTotals(List<List<Metric>> rowTotals)
+   {
+      this.rowTotals = rowTotals;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for columnTotals.
+    *******************************************************************************/
+   public List<List<Metric>> getColumnTotals()
+   {
+      return (columnTotals);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for columnTotals.
+    *******************************************************************************/
+   public PivotResult withColumnTotals(List<List<Metric>> columnTotals)
+   {
+      this.columnTotals = columnTotals;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for grandTotals.
+    *******************************************************************************/
+   public List<Metric> getGrandTotals()
+   {
+      return (grandTotals);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for grandTotals.
+    *******************************************************************************/
+   public PivotResult withGrandTotals(List<Metric> grandTotals)
+   {
+      this.grandTotals = grandTotals;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for truncatedRows.
+    *******************************************************************************/
+   public Boolean getTruncatedRows()
+   {
+      return (truncatedRows);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for truncatedRows.
+    *******************************************************************************/
+   public PivotResult withTruncatedRows(Boolean truncatedRows)
+   {
+      this.truncatedRows = truncatedRows;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for truncatedColumns.
+    *******************************************************************************/
+   public Boolean getTruncatedColumns()
+   {
+      return (truncatedColumns);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for truncatedColumns.
+    *******************************************************************************/
+   public PivotResult withTruncatedColumns(Boolean truncatedColumns)
+   {
+      this.truncatedColumns = truncatedColumns;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for estimate.
+    *******************************************************************************/
+   public Boolean getEstimate()
+   {
+      return (estimate);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for estimate.
+    *******************************************************************************/
+   public PivotResult withEstimate(Boolean estimate)
+   {
+      this.estimate = estimate;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for warnings.
+    *******************************************************************************/
+   public List<String> getWarnings()
+   {
+      return (warnings);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for warnings.
+    *******************************************************************************/
+   public PivotResult withWarnings(List<String> warnings)
+   {
+      this.warnings = warnings;
+      return (this);
+   }
+
+   /*******************************************************************************
+    ** Getter for asOf.
+    *******************************************************************************/
+   public Instant getAsOf()
+   {
+      return (asOf);
+   }
+
+   /*******************************************************************************
+    ** Fluent setter for asOf.
+    *******************************************************************************/
+   public PivotResult withAsOf(Instant asOf)
+   {
+      this.asOf = asOf;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ScatterRequest.java

@@ -0,0 +1,168 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed ScatterRequest contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ScatterRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private String xField;
+   private String yField;
+   private Integer limit = 2000;
+
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public ScatterRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public ScatterRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public ScatterRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for xField.
+    *******************************************************************************/
+   public String getXField()
+   {
+      return (xField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for xField.
+    *******************************************************************************/
+   public ScatterRequest withXField(String xField)
+   {
+      this.xField = xField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for yField.
+    *******************************************************************************/
+   public String getYField()
+   {
+      return (yField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for yField.
+    *******************************************************************************/
+   public ScatterRequest withYField(String yField)
+   {
+      this.yField = yField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for limit.
+    *******************************************************************************/
+   public Integer getLimit()
+   {
+      return (limit);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for limit.
+    *******************************************************************************/
+   public ScatterRequest withLimit(Integer limit)
+   {
+      this.limit = limit;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ScatterResult.java

@@ -0,0 +1,165 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed ScatterResult contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ScatterResult implements Serializable
+{
+   private Long n;
+   private Integer sampleSize;
+   private String sampling;
+   private List<Point> points = new java.util.ArrayList<>();
+   private TrendLine trend;
+   private Chart chart;
+
+
+
+   /*******************************************************************************
+    ** Getter for n.
+    *******************************************************************************/
+   public Long getN()
+   {
+      return (n);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for n.
+    *******************************************************************************/
+   public ScatterResult withN(Long n)
+   {
+      this.n = n;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sampleSize.
+    *******************************************************************************/
+   public Integer getSampleSize()
+   {
+      return (sampleSize);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sampleSize.
+    *******************************************************************************/
+   public ScatterResult withSampleSize(Integer sampleSize)
+   {
+      this.sampleSize = sampleSize;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sampling.
+    *******************************************************************************/
+   public String getSampling()
+   {
+      return (sampling);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sampling.
+    *******************************************************************************/
+   public ScatterResult withSampling(String sampling)
+   {
+      this.sampling = sampling;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for points.
+    *******************************************************************************/
+   public List<Point> getPoints()
+   {
+      return (points);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for points.
+    *******************************************************************************/
+   public ScatterResult withPoints(List<Point> points)
+   {
+      this.points = points;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for trend.
+    *******************************************************************************/
+   public TrendLine getTrend()
+   {
+      return (trend);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for trend.
+    *******************************************************************************/
+   public ScatterResult withTrend(TrendLine trend)
+   {
+      this.trend = trend;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for chart.
+    *******************************************************************************/
+   public Chart getChart()
+   {
+      return (chart);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for chart.
+    *******************************************************************************/
+   public ScatterResult withChart(Chart chart)
+   {
+      this.chart = chart;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ShiftBucket.java

@@ -0,0 +1,121 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed ShiftBucket contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ShiftBucket implements Serializable
+{
+   private Serializable value;
+   private String label;
+   private Boolean complete = false;
+   private List<Metric> metrics = new java.util.ArrayList<>();
+
+
+
+   /*******************************************************************************
+    ** Getter for value.
+    *******************************************************************************/
+   public Serializable getValue()
+   {
+      return (value);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for value.
+    *******************************************************************************/
+   public ShiftBucket withValue(Serializable value)
+   {
+      this.value = value;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for label.
+    *******************************************************************************/
+   public String getLabel()
+   {
+      return (label);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for label.
+    *******************************************************************************/
+   public ShiftBucket withLabel(String label)
+   {
+      this.label = label;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for complete.
+    *******************************************************************************/
+   public Boolean getComplete()
+   {
+      return (complete);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for complete.
+    *******************************************************************************/
+   public ShiftBucket withComplete(Boolean complete)
+   {
+      this.complete = complete;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for metrics.
+    *******************************************************************************/
+   public List<Metric> getMetrics()
+   {
+      return (metrics);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for metrics.
+    *******************************************************************************/
+   public ShiftBucket withMetrics(List<Metric> metrics)
+   {
+      this.metrics = metrics;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ShiftRequest.java

@@ -0,0 +1,168 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+
+/*******************************************************************************
+ ** Typed ShiftRequest contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ShiftRequest implements AnalysisRequest
+{
+   private String tableName;
+   private QQueryFilter filter;
+   private Boolean exact = true;
+   private String field;
+   private String dateField;
+   private String bucket = "MONTH";
+
+
+
+   /*******************************************************************************
+    ** Getter for tableName.
+    *******************************************************************************/
+   @Override
+   public String getTableName()
+   {
+      return (tableName);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for tableName.
+    *******************************************************************************/
+   public ShiftRequest withTableName(String tableName)
+   {
+      this.tableName = tableName;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for filter.
+    *******************************************************************************/
+   @Override
+   public QQueryFilter getFilter()
+   {
+      return (filter);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for filter.
+    *******************************************************************************/
+   public ShiftRequest withFilter(QQueryFilter filter)
+   {
+      this.filter = filter;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for exact.
+    *******************************************************************************/
+   @Override
+   public Boolean getExact()
+   {
+      return (exact);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for exact.
+    *******************************************************************************/
+   public ShiftRequest withExact(Boolean exact)
+   {
+      this.exact = exact;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for field.
+    *******************************************************************************/
+   public String getField()
+   {
+      return (field);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for field.
+    *******************************************************************************/
+   public ShiftRequest withField(String field)
+   {
+      this.field = field;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for dateField.
+    *******************************************************************************/
+   public String getDateField()
+   {
+      return (dateField);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for dateField.
+    *******************************************************************************/
+   public ShiftRequest withDateField(String dateField)
+   {
+      this.dateField = dateField;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for bucket.
+    *******************************************************************************/
+   public String getBucket()
+   {
+      return (bucket);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for bucket.
+    *******************************************************************************/
+   public ShiftRequest withBucket(String bucket)
+   {
+      this.bucket = bucket;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/ShiftResult.java

@@ -0,0 +1,121 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import java.util.List;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed ShiftResult contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class ShiftResult implements Serializable
+{
+   private List<ShiftBucket> buckets = new java.util.ArrayList<>();
+   private Metric psi;
+   private String sentence;
+   private Chart chart;
+
+
+
+   /*******************************************************************************
+    ** Getter for buckets.
+    *******************************************************************************/
+   public List<ShiftBucket> getBuckets()
+   {
+      return (buckets);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for buckets.
+    *******************************************************************************/
+   public ShiftResult withBuckets(List<ShiftBucket> buckets)
+   {
+      this.buckets = buckets;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for psi.
+    *******************************************************************************/
+   public Metric getPsi()
+   {
+      return (psi);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for psi.
+    *******************************************************************************/
+   public ShiftResult withPsi(Metric psi)
+   {
+      this.psi = psi;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sentence.
+    *******************************************************************************/
+   public String getSentence()
+   {
+      return (sentence);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sentence.
+    *******************************************************************************/
+   public ShiftResult withSentence(String sentence)
+   {
+      this.sentence = sentence;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for chart.
+    *******************************************************************************/
+   public Chart getChart()
+   {
+      return (chart);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for chart.
+    *******************************************************************************/
+   public ShiftResult withChart(Chart chart)
+   {
+      this.chart = chart;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/Significance.java

@@ -0,0 +1,186 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed Significance contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class Significance implements Serializable
+{
+   private String test;
+   private Double statistic;
+   private Double df;
+   private Double pValue;
+   private Boolean applicable = false;
+   private String sentence;
+   private Double cramersV;
+
+
+
+   /*******************************************************************************
+    ** Getter for test.
+    *******************************************************************************/
+   public String getTest()
+   {
+      return (test);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for test.
+    *******************************************************************************/
+   public Significance withTest(String test)
+   {
+      this.test = test;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for statistic.
+    *******************************************************************************/
+   public Double getStatistic()
+   {
+      return (statistic);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for statistic.
+    *******************************************************************************/
+   public Significance withStatistic(Double statistic)
+   {
+      this.statistic = statistic;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for df.
+    *******************************************************************************/
+   public Double getDf()
+   {
+      return (df);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for df.
+    *******************************************************************************/
+   public Significance withDf(Double df)
+   {
+      this.df = df;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for pValue.
+    *******************************************************************************/
+   public Double getPValue()
+   {
+      return (pValue);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for pValue.
+    *******************************************************************************/
+   public Significance withPValue(Double pValue)
+   {
+      this.pValue = pValue;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for applicable.
+    *******************************************************************************/
+   public Boolean getApplicable()
+   {
+      return (applicable);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for applicable.
+    *******************************************************************************/
+   public Significance withApplicable(Boolean applicable)
+   {
+      this.applicable = applicable;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for sentence.
+    *******************************************************************************/
+   public String getSentence()
+   {
+      return (sentence);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for sentence.
+    *******************************************************************************/
+   public Significance withSentence(String sentence)
+   {
+      this.sentence = sentence;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for cramersV.
+    *******************************************************************************/
+   public Double getCramersV()
+   {
+      return (cramersV);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for cramersV.
+    *******************************************************************************/
+   public Significance withCramersV(Double cramersV)
+   {
+      this.cramersV = cramersV;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/result/TrendLine.java

@@ -0,0 +1,98 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.result;
+
+import java.io.Serializable;
+import com.fasterxml.jackson.annotation.JsonAutoDetect;
+
+/*******************************************************************************
+ ** Typed TrendLine contract for comparison and relationship analysis.
+ *******************************************************************************/
+@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, isGetterVisibility = JsonAutoDetect.Visibility.NONE)
+public class TrendLine implements Serializable
+{
+   private Double slope;
+   private Double intercept;
+   private Double r;
+
+
+
+   /*******************************************************************************
+    ** Getter for slope.
+    *******************************************************************************/
+   public Double getSlope()
+   {
+      return (slope);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for slope.
+    *******************************************************************************/
+   public TrendLine withSlope(Double slope)
+   {
+      this.slope = slope;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for intercept.
+    *******************************************************************************/
+   public Double getIntercept()
+   {
+      return (intercept);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for intercept.
+    *******************************************************************************/
+   public TrendLine withIntercept(Double intercept)
+   {
+      this.intercept = intercept;
+      return (this);
+   }
+
+
+
+   /*******************************************************************************
+    ** Getter for r.
+    *******************************************************************************/
+   public Double getR()
+   {
+      return (r);
+   }
+
+
+
+   /*******************************************************************************
+    ** Fluent setter for r.
+    *******************************************************************************/
+   public TrendLine withR(Double r)
+   {
+      this.r = r;
+      return (this);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/run/AnalysisRunService.java

@@ -96,7 +96,7 @@ public class AnalysisRunService
       AnalysisBackend.Scope scope = backend.scope(request.getTableName(), request.getFilter(), Boolean.TRUE.equals(request.getExact()));
       if(scope.estimate())
       {
-         return (service.compute(request, backend, scope).withDataVersion(DataVersion.of(backend, request.getTableName(), request.getFilter())));
+         return (service.compute(request, backend, scope).withDataVersion(DataVersion.of(service.backend(request.getTableName()), request.getTableName(), request.getFilter())));
       }
       return (exact(request).getColumnProfile());
    }
@@ -113,7 +113,7 @@ public class AnalysisRunService
       AnalysisBackend.Scope scope = backend.scope(request.getTableName(), request.getFilter(), Boolean.TRUE.equals(request.getExact()));
       if(scope.estimate())
       {
-         return (service.compute(request, backend, scope).withDataVersion(DataVersion.of(backend, request.getTableName(), request.getFilter())));
+         return (service.compute(request, backend, scope).withDataVersion(DataVersion.of(service.backend(request.getTableName()), request.getTableName(), request.getFilter())));
       }
       return (exact(request).getTableProfile());
    }
@@ -441,7 +441,8 @@ public class AnalysisRunService
       identity.put("zone", ValueUtils.getSessionOrInstanceZoneId().getId());
       identity.put("config", service.getConfigResolver().resolve(request.getTableName()));
       identity.put("fields", service.capabilities(request.getTableName()).getFields().stream().sorted().toList());
-      identity.put("policy", com.kingsrook.qbits.dataanalysis.engine.AnalysisLabels.policy(request.getTableName()));
+      identity.put("fieldAccess", digest(service.fieldAccessFingerprint(request.getTableName())));
+      identity.put("policy", service.fieldAccessPolicy(request.getTableName()));
       identity.put("backendVariants", QContext.getQSession().getBackendVariants());
       try
       {

src/main/java/com/kingsrook/qbits/dataanalysis/saved/AnalysisExport.java

@@ -0,0 +1,304 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.io.ByteArrayOutputStream;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+import com.kingsrook.qbits.dataanalysis.result.Metric;
+import com.kingsrook.qbits.dataanalysis.result.PivotHeader;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.reporting.ExportInput;
+import com.kingsrook.qqq.backend.core.model.actions.reporting.ReportDestination;
+import com.kingsrook.qqq.backend.core.model.actions.reporting.ReportFormat;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldMetaData;
+import com.kingsrook.qqq.backend.core.model.metadata.fields.QFieldType;
+import com.kingsrook.qqq.backend.core.model.metadata.reporting.QReportField;
+import com.kingsrook.qqq.backend.core.model.metadata.reporting.QReportView;
+import com.kingsrook.qqq.backend.core.model.metadata.reporting.ReportType;
+
+/*******************************************************************************
+ ** Export already-authorized typed results using core CSV and XLSX streamers.
+ *******************************************************************************/
+public final class AnalysisExport
+{
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private AnalysisExport()
+   {
+   }
+
+   /*******************************************************************************
+    ** A result table, also reused by scheduled HTML summaries.
+    *******************************************************************************/
+   public record ResultTable(List<String> columns, List<List<String>> rows)
+   {
+   }
+
+   /*******************************************************************************
+    ** Download bytes and metadata; filenames are fixed rather than user supplied.
+    *******************************************************************************/
+   public record File(byte[] bytes, String mimeType, String filename)
+   {
+   }
+
+   /*******************************************************************************
+    ** Accept only the two documented export formats.
+    *******************************************************************************/
+   public static ReportFormat format(String value) throws QBadRequestException
+   {
+      if("csv".equalsIgnoreCase(value))
+      {
+         return (ReportFormat.CSV);
+      }
+      if("xlsx".equalsIgnoreCase(value))
+      {
+         return (ReportFormat.XLSX);
+      }
+      throw new QBadRequestException("format must be csv or xlsx.");
+   }
+
+   /*******************************************************************************
+    ** Core's report streamers accept computed records without a source-table query.
+    *******************************************************************************/
+   public static File file(SavedResult result, String format) throws QException
+   {
+      ReportFormat type = format(format);
+      ResultTable table = table(result);
+      ByteArrayOutputStream bytes = new ByteArrayOutputStream();
+      var destination = new ReportDestination().withReportFormat(type).withReportOutputStream(bytes);
+      var view = new QReportView().withName("analysis").withLabel("Analysis").withType(ReportType.TABLE);
+      List<QFieldMetaData> fields = new ArrayList<>();
+      for(int i = 0; i < table.columns().size(); i++)
+      {
+         fields.add(new QFieldMetaData("c" + i, QFieldType.STRING).withLabel(table.columns().get(i)));
+         view.withColumn(new QReportField("c" + i).withLabel(table.columns().get(i)).withType(QFieldType.STRING));
+      }
+      var streamer = type.newReportStreamer();
+      streamer.preRun(destination, List.of(view));
+      streamer.start(new ExportInput().withReportDestination(destination), fields, "Analysis", view);
+      List<QRecord> records = new ArrayList<>();
+      for(List<String> row : table.rows())
+      {
+         QRecord record = new QRecord();
+         for(int i = 0; i < row.size(); i++)
+         {
+            record.withValue("c" + i, row.get(i));
+         }
+         records.add(record);
+      }
+      for(String warning : result.warnings())
+      {
+         records.add(new QRecord().withValue("c0", "Warning: " + warning));
+      }
+      streamer.addRecords(records);
+      streamer.finish();
+      return (new File(bytes.toByteArray(), type.getMimeType(), "analysis." + type.getExtension()));
+   }
+
+   /*******************************************************************************
+    ** Preserve formatted values and suppressed cells; never export underlying raw data.
+    *******************************************************************************/
+   public static ResultTable table(SavedResult result)
+   {
+      List<String> columns = new ArrayList<>(List.of("Section", "Metric", "Value"));
+      List<List<String>> rows = new ArrayList<>();
+      if(result.columnProfile() != null)
+      {
+         var p = result.columnProfile();
+         metrics(rows, "Counts", p.getCounts());
+         if(p.getNumeric() != null)
+         {
+            metrics(rows, "Numeric", p.getNumeric().getMetrics());
+         }
+         if(p.getText() != null)
+         {
+            metrics(rows, "Text", p.getText().getMetrics());
+         }
+         if(p.getDates() != null)
+         {
+            metrics(rows, "Dates", p.getDates().getMetrics());
+         }
+         if(p.getBooleans() != null)
+         {
+            metrics(rows, "Boolean", p.getBooleans());
+         }
+         p.getTopValues().forEach(v -> rows.add(row("Top values", v.getLabel(), v.getCount())));
+      }
+      else if(result.tableProfile() != null)
+      {
+         var p = result.tableProfile();
+         metrics(rows, "Table", List.of(p.getRowCount()));
+         for(var field : p.getFields())
+         {
+            rows.add(row(field.getLabel(), "Completeness", field.getCompleteness()));
+            rows.add(row(field.getLabel(), "Distinct", field.getDistinct()));
+            rows.add(row(field.getLabel(), "Uniqueness", field.getUniqueness()));
+         }
+      }
+      else if(result.pivot() != null)
+      {
+         var p = result.pivot();
+         columns = new ArrayList<>(List.of("Row"));
+         for(var headers : p.getColumnHeaders())
+         {
+            for(var measure : p.getMeasures())
+            {
+               columns.add(label(headers) + " / " + measure.getLabel());
+            }
+         }
+         for(int r = 0; r < p.getRowHeaders().size(); r++)
+         {
+            List<String> row = new ArrayList<>();
+            row.add(label(p.getRowHeaders().get(r)));
+            for(int c = 0; c < p.getColumnHeaders().size(); c++)
+            {
+               final int ri = r;
+               final int ci = c;
+               var cell = p.getCells().stream().filter(x -> x.getRowIndex() == ri && x.getColumnIndex() == ci).findFirst();
+               for(int m = 0; m < p.getMeasures().size(); m++)
+               {
+                  row.add(cell.isPresent() ? value(cell.get().getValues().get(m)) : "");
+               }
+            }
+            rows.add(row);
+         }
+      }
+      else if(result.compare() != null)
+      {
+         columns = List.of("Field", "Value", "Metric", "A", "B", "Delta", "Percent delta");
+         for(var field : result.compare().getFields())
+         {
+            for(var comparison : field.getValues())
+            {
+               for(var metric : comparison.getSideA().getMetrics())
+               {
+                  var b = comparison.getSideB().getMetrics().stream().filter(m -> Objects.equals(m.getKey(), metric.getKey())).findFirst().orElse(null);
+                  rows.add(row(field.getField(), comparison.getLabel(), metric.getLabel(), value(metric), value(b), value(comparison.getDelta()), value(comparison.getPercentDelta())));
+               }
+            }
+         }
+      }
+      else if(result.correlation() != null)
+      {
+         columns = List.of("X", "Y", "Paired rows", "Correlation");
+         result.correlation().getCells().forEach(c -> rows.add(row(c.getXField(), c.getYField(), c.getN(), c.getR())));
+      }
+      else if(result.crosstab() != null)
+      {
+         columns = List.of("Row", "Column", "Count", "Row share", "Column share");
+         var p = result.crosstab();
+         p.getCells().forEach(c -> rows.add(row(p.getRows().get(c.getRowIndex()).getLabel(), p.getColumns().get(c.getColumnIndex()).getLabel(),
+            value(c.getCount()), value(c.getRowShare()), value(c.getColumnShare()))));
+      }
+      else if(result.shift() != null)
+      {
+         for(var bucket : result.shift().getBuckets())
+         {
+            metrics(rows, bucket.getLabel(), bucket.getMetrics());
+         }
+         if(result.shift().getPsi() != null)
+         {
+            metrics(rows, "Shift", List.of(result.shift().getPsi()));
+         }
+      }
+      return (new ResultTable(columns, rows));
+   }
+
+   /*******************************************************************************
+    ** Headline metrics shared by standard chart widgets and email summaries.
+    *******************************************************************************/
+   public static List<Metric> headlines(SavedResult result)
+   {
+      List<Metric> metrics = new ArrayList<>();
+      if(result.columnProfile() != null)
+      {
+         metrics.addAll(result.columnProfile().getCounts());
+         if(result.columnProfile().getNumeric() != null)
+         {
+            metrics.addAll(result.columnProfile().getNumeric().getMetrics().stream()
+               .filter(m -> List.of("mean", "median", "min", "max").contains(m.getKey())).toList());
+         }
+      }
+      else if(result.tableProfile() != null)
+      {
+         metrics.add(result.tableProfile().getRowCount());
+      }
+      else if(result.pivot() != null)
+      {
+         metrics.addAll(result.pivot().getGrandTotals());
+      }
+      else if(result.compare() != null)
+      {
+         result.compare().getFields().stream().limit(4).forEach(f -> f.getValues().stream().limit(1).forEach(v -> metrics.add(v.getDelta())));
+      }
+      else if(result.shift() != null)
+      {
+         metrics.add(result.shift().getPsi());
+      }
+      else
+      {
+         int count = result.correlation() != null ? result.correlation().getFields().size() : result.crosstab() != null ? result.crosstab().getCells().size() : 0;
+         if(result.correlation() != null || result.crosstab() != null)
+         {
+            metrics.add(new Metric().withKey("visible").withLabel(result.correlation() != null ? "Numeric fields" : "Visible combinations")
+               .withValue(count).withValueType(com.kingsrook.qbits.dataanalysis.result.ValueType.COUNT).withFormatted(String.valueOf(count)));
+         }
+      }
+      return (metrics.stream().filter(Objects::nonNull).toList());
+   }
+
+   /*******************************************************************************
+    ** No nulls in report cells; unknown and suppressed are distinct from zero.
+    *******************************************************************************/
+   private static List<String> row(Object... values)
+   {
+      return (java.util.Arrays.stream(values).map(v -> v == null ? "" : String.valueOf(v)).toList());
+   }
+
+   /*******************************************************************************
+    ** Render a tuple using the engine's already-authorized display labels.
+    *******************************************************************************/
+   private static String label(List<PivotHeader> headers)
+   {
+      return (headers.stream().map(PivotHeader::getLabel).collect(java.util.stream.Collectors.joining(" / ")));
+   }
+
+   /*******************************************************************************
+    ** Metrics always use their semantic formatted value.
+    *******************************************************************************/
+   public static String value(Metric metric)
+   {
+      return (metric == null ? "" : Boolean.TRUE.equals(metric.getSuppressed()) ? "Suppressed" : Objects.toString(metric.getFormatted(), ""));
+   }
+
+   /*******************************************************************************
+    ** Profile metrics become one row per headline statistic.
+    *******************************************************************************/
+   private static void metrics(List<List<String>> rows, String section, List<Metric> metrics)
+   {
+      metrics.forEach(m -> rows.add(row(section, m.getLabel(), value(m))));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/saved/SavedAnalyses.java

@@ -0,0 +1,151 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.io.Serializable;
+import java.time.Instant;
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisService;
+import com.kingsrook.qbits.dataanalysis.engine.DrillFilters;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.watch.WatchRecords;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
+import com.kingsrook.qqq.backend.core.actions.tables.DeleteAction;
+import com.kingsrook.qqq.backend.core.actions.tables.InsertAction;
+import com.kingsrook.qqq.backend.core.actions.tables.QueryAction;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.delete.DeleteInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.insert.InsertInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QFilterOrderBy;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QQueryFilter;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QueryInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+
+/*******************************************************************************
+ ** Saved definitions always execute in the calling context, including shared reads.
+ *******************************************************************************/
+public class SavedAnalyses
+{
+   private final DataAnalysisService service;
+
+   /*******************************************************************************
+    ** Use the instance's existing engine and cache policy.
+    *******************************************************************************/
+   public SavedAnalyses(DataAnalysisService service)
+   {
+      this.service = service;
+   }
+
+   /*******************************************************************************
+    ** Standard core READ and record locks precede source-table authorization.
+    *******************************************************************************/
+   public SavedResult run(Serializable id) throws QException
+   {
+      return (SavedDefinition.parse(WatchRecords.get(DataAnalysisTables.SAVED, id)).run(service, false));
+   }
+
+   /*******************************************************************************
+    ** Readable list rows contain presentation metadata, never cached owner results.
+    *******************************************************************************/
+   public record Entry(Serializable id, String name, String kind, String tableName, String tableLabel, String owner,
+      Boolean shared, Boolean starred, Instant updated)
+   {
+   }
+
+   /*******************************************************************************
+    ** Only stars belonging to this viewer decorate their core-visible saved rows.
+    *******************************************************************************/
+   public List<Entry> list() throws QException
+   {
+      Set<Serializable> stars = new HashSet<>();
+      for(QRecord row : query(DataAnalysisTables.SAVED_STAR, DrillFilters.condition("user_id", QCriteriaOperator.EQUALS, user())))
+      {
+         stars.add(row.getValue("saved_id"));
+      }
+      List<Entry> result = new ArrayList<>();
+      for(QRecord row : query(DataAnalysisTables.SAVED, new QQueryFilter().withOrderBy(new QFilterOrderBy("modifyDate", false))))
+      {
+         String tableName = row.getValueString("table_name");
+         var table = QContext.getQInstance().getTable(tableName);
+         result.add(new Entry(row.getValue("id"), row.getValueString("name"), row.getValueString("kind"), tableName,
+            table == null ? tableName : table.getLabel(), row.getValueString("owner_user_id"), row.getValueBoolean("shared"),
+            stars.contains(row.getValue("id")), row.getValueInstant("modifyDate")));
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Idempotent per-runtime PUT/DELETE, with standard insert/delete permissions.
+    *******************************************************************************/
+   public synchronized Boolean star(Serializable id, boolean starred) throws QException
+   {
+      WatchRecords.get(DataAnalysisTables.SAVED, id);
+      QQueryFilter filter = DrillFilters.and(DrillFilters.condition("saved_id", QCriteriaOperator.EQUALS, id),
+         DrillFilters.condition("user_id", QCriteriaOperator.EQUALS, user()));
+      List<QRecord> existing = query(DataAnalysisTables.SAVED_STAR, filter);
+      if(starred && existing.isEmpty())
+      {
+         InsertInput input = new InsertInput(DataAnalysisTables.SAVED_STAR).withRecords(List.of(new QRecord().withValue("saved_id", id).withValue("user_id", user())));
+         input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+         QRecord record = new InsertAction().execute(input).getRecords().getFirst();
+         if(record.getErrors() != null && !record.getErrors().isEmpty())
+         {
+            throw new QException("Could not save the star.");
+         }
+      }
+      else if(!starred && !existing.isEmpty())
+      {
+         DeleteInput input = new DeleteInput(DataAnalysisTables.SAVED_STAR).withPrimaryKeys(existing.stream().map(r -> r.getValue("id")).toList());
+         input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+         new DeleteAction().execute(input);
+      }
+      return (starred);
+   }
+
+   /*******************************************************************************
+    ** Shared enforced query helper for visible records, not a security-filter layer.
+    *******************************************************************************/
+   public static List<QRecord> query(String table, QQueryFilter filter) throws QException
+   {
+      QueryInput input = new QueryInput(table).withShouldFetchHeavyFields(true).withFilter(filter);
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      return (new QueryAction().execute(input).getRecords());
+   }
+
+   /*******************************************************************************
+    ** An authenticated identity is required even in an unprotected host app.
+    *******************************************************************************/
+   public static String user() throws QPermissionDeniedException
+   {
+      var session = QContext.getQSession();
+      if(session == null || session.getUser() == null || session.getUser().getIdReference() == null)
+      {
+         throw new QPermissionDeniedException("Sign in to use saved analyses.");
+      }
+      return (session.getUser().getIdReference());
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/saved/SavedCustomizer.java

@@ -0,0 +1,91 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.util.List;
+import java.util.Optional;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.permissions.DataAnalysisPermissions;
+import com.kingsrook.qbits.dataanalysis.watch.WatchRecords;
+import com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizerInterface;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.insert.InsertInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.statusmessages.BadInputStatusMessage;
+
+/*******************************************************************************
+ ** Validate all core CRUD and maintain the read-lock projection atomically.
+ *******************************************************************************/
+public class SavedCustomizer implements TableCustomizerInterface
+{
+   /*******************************************************************************
+    ** Inserts cannot forge an owner or the derived shared-read key.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preInsert(InsertInput input, List<QRecord> records, boolean preview) throws QException
+   {
+      for(QRecord row : records)
+      {
+         validate(row, row);
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** Merge partial edits so changing shared or owner also changes the read lock.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preUpdate(UpdateInput input, List<QRecord> records, boolean preview, Optional<List<QRecord>> oldRecords) throws QException
+   {
+      for(QRecord patch : records)
+      {
+         QRecord merged = new QRecord(WatchRecords.get(DataAnalysisTables.SAVED, patch.getValue("id")));
+         merged.getValues().putAll(patch.getValues());
+         validate(patch, merged);
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** Report a plain validation message on the standard record editor.
+    *******************************************************************************/
+   private void validate(QRecord output, QRecord merged)
+   {
+      try
+      {
+         String owner = merged.getValueString("owner_user_id");
+         var session = QContext.getQSession();
+         if(owner == null || owner.isBlank() || session == null || (!(session.getSecurityKeyValues() != null && session.getSecurityKeyValues().getOrDefault(DataAnalysisPermissions.ADMIN, List.of()).contains(true))
+            && (session.getUser() == null || !owner.equals(session.getUser().getIdReference()))))
+         {
+            throw new QException("Only an administrator may assign another analysis owner.");
+         }
+         SavedDefinition.parse(merged);
+         output.withValue("read_owner_user_id", Boolean.TRUE.equals(merged.getValueBoolean("shared")) ? null : owner);
+      }
+      catch(QException e)
+      {
+         output.addError(new BadInputStatusMessage(e.getMessage()));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/saved/SavedDefinition.java

@@ -0,0 +1,313 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisService;
+import com.kingsrook.qbits.dataanalysis.result.AnalysisRequest;
+import com.kingsrook.qbits.dataanalysis.result.ColumnProfileRequest;
+import com.kingsrook.qbits.dataanalysis.result.CompareRequest;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationRequest;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabRequest;
+import com.kingsrook.qbits.dataanalysis.result.PivotRequest;
+import com.kingsrook.qbits.dataanalysis.result.ShiftRequest;
+import com.kingsrook.qbits.dataanalysis.result.TableProfileRequest;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
+
+/*******************************************************************************
+ ** One parser for persisted definitions, exports, schedules and SQL requests.
+ *******************************************************************************/
+public record SavedDefinition(String kind, AnalysisRequest request)
+{
+   private static final Map<String, Class<? extends AnalysisRequest>> TYPES = Map.of(
+      "COLUMN_PROFILE", ColumnProfileRequest.class, "TABLE_PROFILE", TableProfileRequest.class,
+      "PIVOT", PivotRequest.class, "COMPARE", CompareRequest.class, "CORRELATION", CorrelationRequest.class,
+      "CROSSTAB", CrosstabRequest.class, "SHIFT", ShiftRequest.class);
+   private static final Set<String> FIELD_KEYS = Set.of("fieldName", "field", "dateField", "rowField", "columnField");
+   public static final String FIELD_WARNING = "Some fields are not available to you";
+
+   /*******************************************************************************
+    ** The definition owns the typed filter; legacy filter_json remains supported.
+    *******************************************************************************/
+   public static SavedDefinition parse(QRecord row) throws QException
+   {
+      Map<String, Object> body = object(row.getValueString("definition_json"));
+      if(body.get("filter") == null && row.getValueString("filter_json") != null)
+      {
+         body.put("filter", object(row.getValueString("filter_json")));
+      }
+      return (parse(row.getValueString("kind"), row.getValueString("table_name"), body));
+   }
+
+   /*******************************************************************************
+    ** Reject malformed JSON with a plain, stable message.
+    *******************************************************************************/
+   @SuppressWarnings("unchecked")
+   public static Map<String, Object> object(String json) throws QBadRequestException
+   {
+      try
+      {
+         Object value = JsonUtils.toObject(json, Object.class);
+         if(value instanceof Map<?, ?> map)
+         {
+            return (new LinkedHashMap<>((Map<String, Object>) map));
+         }
+      }
+      catch(Exception expected)
+      {
+         // Normalize parser diagnostics; never return raw saved JSON in errors.
+      }
+      throw new QBadRequestException("definition_json must be a JSON object.");
+   }
+
+   /*******************************************************************************
+    ** Validate metadata existence before saving, without querying source records.
+    *******************************************************************************/
+   public static SavedDefinition parse(String kind, String table, Map<String, Object> body) throws QException
+   {
+      if(!TYPES.containsKey(kind == null ? "" : kind))
+      {
+         throw new QBadRequestException("Choose a supported analysis kind.");
+      }
+      if(table == null || QContext.getQInstance().getTable(table) == null)
+      {
+         throw new QBadRequestException("Choose an existing analysis table.");
+      }
+      if(body.get("tableName") != null && !table.equals(body.get("tableName")))
+      {
+         throw new QBadRequestException("The definition table must match table_name.");
+      }
+      Map<String, Object> copy = new LinkedHashMap<>(body);
+      copy.put("tableName", table);
+      try
+      {
+         validateJson(copy);
+         AnalysisRequest request = JsonUtils.toObject(JsonUtils.toJson(copy), TYPES.get(kind));
+         requireShape(request);
+         for(String field : fields(copy))
+         {
+            String[] parts = field.split("\\.", 2);
+            var metadata = QContext.getQInstance().getTable(parts.length == 2 ? parts[0] : table);
+            if(metadata == null || metadata.getField(parts.length == 2 ? parts[1] : field) == null)
+            {
+               throw new IllegalArgumentException("A definition field does not exist.");
+            }
+         }
+         return (new SavedDefinition(kind, request));
+      }
+      catch(Exception e)
+      {
+         throw new QBadRequestException("Invalid analysis definition: " + (e instanceof IllegalArgumentException ? e.getMessage() : "check the request fields and types."));
+      }
+   }
+
+   /*******************************************************************************
+    ** Reject coercible scalar types and malformed predicates before Jackson conversion.
+    *******************************************************************************/
+   private static void validateJson(Object value)
+   {
+      if(value instanceof Map<?, ?> map)
+      {
+         for(var entry : map.entrySet())
+         {
+            String name = String.valueOf(entry.getKey());
+            Object item = entry.getValue();
+            if(item == null)
+            {
+               continue;
+            }
+            if((FIELD_KEYS.contains(name) || Set.of("tableName", "bucket", "operator").contains(name)) && !(item instanceof String))
+            {
+               throw new IllegalArgumentException("Field names and operators must be strings.");
+            }
+            if(name.equals("fields") && (!(item instanceof List<?> list) || list.stream().anyMatch(v -> !(v instanceof String))))
+            {
+               throw new IllegalArgumentException("fields must be an array of field names.");
+            }
+            if(Set.of("filter", "filterA", "filterB").contains(name) && !(item instanceof Map<?, ?>))
+            {
+               throw new IllegalArgumentException("Filters must be query filter objects.");
+            }
+            if(name.equals("criteria") && (!(item instanceof List<?> list) || list.stream().anyMatch(v -> !(v instanceof Map<?, ?> c)
+               || !(c.get("fieldName") instanceof String) || !(c.get("operator") instanceof String))))
+            {
+               throw new IllegalArgumentException("Filter criteria require a field and operator.");
+            }
+            if(Set.of("exact", "showTotals").contains(name) && !(item instanceof Boolean))
+            {
+               throw new IllegalArgumentException("Flags must be booleans.");
+            }
+            validateJson(item);
+         }
+      }
+      else if(value instanceof List<?> list)
+      {
+         list.forEach(SavedDefinition::validateJson);
+      }
+   }
+
+   /*******************************************************************************
+    ** Required selections must not turn an invalid draft into a different query.
+    *******************************************************************************/
+   private static void requireShape(AnalysisRequest request)
+   {
+      boolean valid = switch(request)
+      {
+         case ColumnProfileRequest r -> r.getFieldName() != null;
+         case TableProfileRequest r -> r.getFields() == null || !r.getFields().isEmpty();
+         case CompareRequest r -> r.getFields() != null && !r.getFields().isEmpty();
+         case CorrelationRequest r -> r.getFields() != null && r.getFields().size() >= 2;
+         case CrosstabRequest r -> r.getRowField() != null && r.getColumnField() != null;
+         case ShiftRequest r -> r.getField() != null && r.getDateField() != null;
+         case PivotRequest r -> r.getValues() != null && !r.getValues().isEmpty()
+            && r.getValues().stream().allMatch(v -> v.getOperator() != null && (v.getOperator().name().equals("COUNT") || v.getField() != null));
+         default -> false;
+      };
+      if(!valid)
+      {
+         throw new IllegalArgumentException("Choose the fields and measures required by this analysis kind.");
+      }
+   }
+
+   /*******************************************************************************
+    ** Include selected and filter fields, including both compare populations.
+    *******************************************************************************/
+   public static Set<String> fields(Object value)
+   {
+      Set<String> names = new LinkedHashSet<>();
+      if(value instanceof Map<?, ?> map)
+      {
+         for(var entry : map.entrySet())
+         {
+            if(FIELD_KEYS.contains(entry.getKey()) && entry.getValue() instanceof String name)
+            {
+               names.add(name);
+            }
+            else if("fields".equals(entry.getKey()) && entry.getValue() instanceof List<?> list)
+            {
+               list.forEach(name -> names.add((String) name));
+            }
+            else
+            {
+               names.addAll(fields(entry.getValue()));
+            }
+         }
+      }
+      else if(value instanceof List<?> list)
+      {
+         list.forEach(item -> names.addAll(fields(item)));
+      }
+      return (names);
+   }
+
+   /*******************************************************************************
+    ** A fresh tree makes field reduction request-local and cannot change storage.
+    *******************************************************************************/
+   public Map<String, Object> body() throws QException
+   {
+      return (object(JsonUtils.toJson(request)));
+   }
+
+   /*******************************************************************************
+    ** Filter rights are not weakened: an unavailable predicate prevents execution.
+    ** Required denied axes return an empty typed envelope rather than change meaning.
+    *******************************************************************************/
+   @SuppressWarnings("unchecked")
+   public SavedResult run(DataAnalysisService service, boolean strict) throws QException
+   {
+      service.capabilities(request.getTableName());
+      Map<String, Object> body = body();
+      Set<String> denied = new LinkedHashSet<>();
+      for(String field : fields(body))
+      {
+         if(!service.isAvailableField(request.getTableName(), field))
+         {
+            denied.add(field);
+         }
+      }
+      if(strict && !denied.isEmpty())
+      {
+         throw new QBadRequestException(FIELD_WARNING);
+      }
+      List<String> warnings = denied.isEmpty() ? List.of() : List.of(FIELD_WARNING);
+      for(String filter : List.of("filter", "filterA", "filterB"))
+      {
+         if(fields(body.get(filter)).stream().anyMatch(denied::contains))
+         {
+            return (SavedResult.of(kind, null, warnings));
+         }
+      }
+      if(body.get("fields") instanceof List<?> list)
+      {
+         body.put("fields", list.stream().filter(f -> !denied.contains(f)).toList());
+      }
+      for(String axis : List.of("rows", "columns", "values"))
+      {
+         if(body.get(axis) instanceof List<?> list)
+         {
+            body.put(axis, list.stream().filter(item -> fields(item).stream().noneMatch(denied::contains)).toList());
+         }
+      }
+      if(FIELD_KEYS.stream().anyMatch(key -> denied.contains(body.get(key))))
+      {
+         return (SavedResult.of(kind, null, warnings));
+      }
+      AnalysisRequest reduced;
+      try
+      {
+         reduced = JsonUtils.toObject(JsonUtils.toJson(body), TYPES.get(kind));
+         requireShape(reduced);
+      }
+      catch(Exception e)
+      {
+         return (SavedResult.of(kind, null, warnings));
+      }
+      Object result = switch(reduced)
+      {
+         case ColumnProfileRequest r ->
+         {
+            var backend = service.backend(r.getTableName());
+            yield service.compute(r, backend, backend.scope(r.getTableName(), r.getFilter(), Boolean.TRUE.equals(r.getExact())));
+         }
+         case TableProfileRequest r ->
+         {
+            var backend = service.backend(r.getTableName());
+            yield service.compute(r, backend, backend.scope(r.getTableName(), r.getFilter(), Boolean.TRUE.equals(r.getExact())));
+         }
+         case PivotRequest r -> service.pivot(r);
+         case CompareRequest r -> service.compare(r);
+         case CorrelationRequest r -> service.correlation(r);
+         case CrosstabRequest r -> service.crosstab(r);
+         case ShiftRequest r -> service.shift(r);
+         default -> throw new QBadRequestException("Unsupported analysis kind.");
+      };
+      return (SavedResult.of(kind, result, warnings));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/saved/SavedResult.java

@@ -0,0 +1,60 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.result.ColumnProfile;
+import com.kingsrook.qbits.dataanalysis.result.CompareResult;
+import com.kingsrook.qbits.dataanalysis.result.CorrelationResult;
+import com.kingsrook.qbits.dataanalysis.result.CrosstabResult;
+import com.kingsrook.qbits.dataanalysis.result.PivotResult;
+import com.kingsrook.qbits.dataanalysis.result.ShiftResult;
+import com.kingsrook.qbits.dataanalysis.result.TableProfile;
+
+/*******************************************************************************
+ ** Discriminated result: exactly the member named by kind is populated when runnable.
+ *******************************************************************************/
+public record SavedResult(String kind, List<String> warnings, ColumnProfile columnProfile, TableProfile tableProfile,
+   PivotResult pivot, CompareResult compare, CorrelationResult correlation, CrosstabResult crosstab, ShiftResult shift)
+{
+   /*******************************************************************************
+    ** Preserve typed engine results without an untyped JSON payload.
+    *******************************************************************************/
+   public static SavedResult of(String kind, Object result, List<String> warnings)
+   {
+      java.util.ArrayList<String> notices = new java.util.ArrayList<>(warnings);
+      if(result instanceof ColumnProfile p)
+      {
+         notices.addAll(p.getWarnings());
+      }
+      else if(result instanceof TableProfile p)
+      {
+         notices.addAll(p.getWarnings());
+      }
+      else if(result instanceof PivotResult p)
+      {
+         notices.addAll(p.getWarnings());
+      }
+      return (new SavedResult(kind, notices.stream().distinct().toList(), result instanceof ColumnProfile p ? p : null, result instanceof TableProfile p ? p : null,
+         result instanceof PivotResult p ? p : null, result instanceof CompareResult p ? p : null,
+         result instanceof CorrelationResult p ? p : null, result instanceof CrosstabResult p ? p : null, result instanceof ShiftResult p ? p : null));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/saved/SqlHandoff.java

@@ -0,0 +1,147 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.saved;
+
+import java.lang.reflect.Field;
+import java.util.ArrayList;
+import java.util.List;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisService;
+import com.kingsrook.qqq.backend.core.actions.interfaces.AggregateInterface;
+import com.kingsrook.qqq.backend.core.actions.tables.AggregateAction;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.aggregate.AggregateOutput;
+
+/*******************************************************************************
+ ** Request-local capture of core's actual aggregate SQL, never a separate SQL planner.
+ *******************************************************************************/
+public final class SqlHandoff
+{
+   private static final ThreadLocal<List<Statement>> CAPTURE = new ThreadLocal<>();
+   private static final String NOTE = "Record security filters are applied by QQQ at run time. This SQL is for reading; ? placeholders remain bound by QQQ.";
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private SqlHandoff()
+   {
+   }
+
+   /*******************************************************************************
+    ** Statement ranking prefers the main grouped matrix, then the widest metric batch.
+    *******************************************************************************/
+   private record Statement(String table, String sql, int dimensions, int measures)
+   {
+   }
+
+   /*******************************************************************************
+    ** Transported capability, statement and security note.
+    *******************************************************************************/
+   public record Result(Boolean available, String sql, String note)
+   {
+   }
+
+   /*******************************************************************************
+    ** Installation plus its configured access permission are both required.
+    *******************************************************************************/
+   public static boolean installedAndAllowed()
+   {
+      var instance = QContext.getQInstance();
+      var app = instance.getApp("sqlWorkbench");
+      boolean installed = app != null || instance.getTables().keySet().stream().anyMatch(t -> t.startsWith("sql_workbench_"));
+      String base = app != null && app.getPermissionRules() != null && app.getPermissionRules().getPermissionBaseName() != null
+         ? app.getPermissionRules().getPermissionBaseName() : "sql_workbench";
+      return (installed && QContext.getQSession() != null && QContext.getQSession().hasPermission(base + ".hasAccess"));
+   }
+
+   /*******************************************************************************
+    ** The backend metadata inheritance check avoids a production RDBMS dependency.
+    *******************************************************************************/
+   public static Result execute(SavedDefinition definition, DataAnalysisService service) throws QException
+   {
+      if(!installedAndAllowed())
+      {
+         return (new Result(false, null, "SQL Workbench is not installed or available to you."));
+      }
+      service.capabilities(definition.request().getTableName());
+      var table = QContext.getQInstance().getTable(definition.request().getTableName());
+      Class<?> type = QContext.getQInstance().getBackend(table.getBackendName()).getClass();
+      boolean rdbms = false;
+      while(type != null)
+      {
+         rdbms |= type.getSimpleName().equals("RDBMSBackendMetaData");
+         type = type.getSuperclass();
+      }
+      if(!rdbms)
+      {
+         return (new Result(false, null, "SQL is unavailable for a non-RDBMS backend."));
+      }
+      List<Statement> statements = new ArrayList<>();
+      CAPTURE.set(statements);
+      try
+      {
+         definition.run(service, true);
+      }
+      finally
+      {
+         CAPTURE.remove();
+      }
+      java.util.Comparator<Statement> ranking = List.of("PIVOT", "CROSSTAB", "SHIFT").contains(definition.kind())
+         ? java.util.Comparator.comparingInt(Statement::dimensions).thenComparingInt(Statement::measures)
+         : java.util.Comparator.comparingInt(Statement::measures).thenComparingInt(s -> -s.dimensions());
+      Statement main = statements.stream().filter(s -> s.table().equals(table.getName())).max(ranking).orElse(null);
+      return (main == null ? new Result(false, null, "Core did not expose SQL for this aggregate. " + NOTE) : new Result(true, main.sql(), NOTE));
+   }
+
+   /*******************************************************************************
+    ** Execute the ordinary authorized core action, then read its backend QueryStat.
+    ** Core exposes QueryStat on the backend but not its action reference; this narrow
+    ** bridge never changes action state, global logging, or QueryStatManager settings.
+    *******************************************************************************/
+   public static AggregateOutput aggregate(AggregateInput input) throws QException
+   {
+      if(CAPTURE.get() != null)
+      {
+         input.setTableMetaData(input.getTable().clone().withCapability(com.kingsrook.qqq.backend.core.model.metadata.tables.Capability.QUERY_STATS));
+      }
+      AggregateAction action = new AggregateAction();
+      AggregateOutput output = action.execute(input);
+      if(CAPTURE.get() != null)
+      {
+         try
+         {
+            Field field = AggregateAction.class.getDeclaredField("aggregateInterface");
+            field.setAccessible(true);
+            var stat = ((AggregateInterface) field.get(action)).getQueryStat();
+            if(stat != null && stat.getQueryText() != null)
+            {
+               CAPTURE.get().add(new Statement(input.getTableName(), stat.getQueryText(), input.getGroupBys().size(), input.getAggregates().size()));
+            }
+         }
+         catch(ReflectiveOperationException | RuntimeException expected)
+         {
+            // A future core change makes handoff unavailable rather than invent SQL.
+         }
+      }
+      return (output);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/schedule/ScheduleCustomizer.java

@@ -0,0 +1,116 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.schedule;
+
+import java.time.Instant;
+import java.util.List;
+import java.util.Optional;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.saved.SavedDefinition;
+import com.kingsrook.qbits.dataanalysis.watch.WatchRecords;
+import com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizerInterface;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.insert.InsertInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.statusmessages.BadInputStatusMessage;
+import com.kingsrook.qqq.backend.core.utils.JsonUtils;
+
+/*******************************************************************************
+ ** Core CRUD validates recipients and computes the next occurrence on configuration edits.
+ *******************************************************************************/
+public class ScheduleCustomizer implements TableCustomizerInterface
+{
+   private static final Set<String> CONFIG = Set.of("saved_id", "cron", "frequency", "day", "time", "time_zone", "enabled", "recipients", "format");
+
+   /*******************************************************************************
+    ** Disabled empty drafts may be completed later.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preInsert(InsertInput input, List<QRecord> records, boolean preview) throws QException
+   {
+      for(QRecord row : records)
+      {
+         validate(row, row);
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** Status-only scheduler writes do not move the next occurrence twice.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preUpdate(UpdateInput input, List<QRecord> records, boolean preview, Optional<List<QRecord>> oldRecords) throws QException
+   {
+      for(QRecord patch : records)
+      {
+         if(patch.getValues().keySet().stream().anyMatch(CONFIG::contains))
+         {
+            QRecord row = new QRecord(WatchRecords.get(DataAnalysisTables.SCHEDULE, patch.getValue("id")));
+            row.getValues().putAll(patch.getValues());
+            validate(patch, row);
+         }
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** User ids are stored as a JSON array, not an unchecked email recipient list.
+    *******************************************************************************/
+   public static List<String> recipients(QRecord row) throws QException
+   {
+      try
+      {
+         Object value = JsonUtils.toObject(row.getValueString("recipients"), Object.class);
+         if(value instanceof List<?> list && !list.isEmpty() && list.size() <= 100
+            && list.stream().allMatch(v -> v instanceof String s && !s.isBlank()))
+         {
+            return (list.stream().map(String.class::cast).distinct().toList());
+         }
+      }
+      catch(Exception expected)
+      {
+         // Use the same plain error for JSON and shape errors.
+      }
+      throw new QException("Recipients must be a JSON array of 1 to 100 user ids.");
+   }
+
+   /*******************************************************************************
+    ** Scheduling references a real, visible saved analysis.
+    *******************************************************************************/
+   private void validate(QRecord output, QRecord row)
+   {
+      try
+      {
+         SavedDefinition.parse(WatchRecords.get(DataAnalysisTables.SAVED, row.getValue("saved_id")));
+         if(Boolean.TRUE.equals(row.getValueBoolean("enabled")) || row.getValueString("frequency") != null || row.getValueString("cron") != null)
+         {
+            recipients(row);
+            output.withValue("next_run_at", ScheduleTiming.next(row, Instant.now()));
+         }
+      }
+      catch(QException e)
+      {
+         output.addError(new BadInputStatusMessage(e.getMessage()));
+      }
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/schedule/ScheduleRunner.java

@@ -0,0 +1,305 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.schedule;
+
+import java.io.Serializable;
+import java.time.Instant;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisQBitConfig;
+import com.kingsrook.qbits.dataanalysis.DataAnalysisService;
+import com.kingsrook.qbits.dataanalysis.engine.DrillFilters;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.permissions.DataAnalysisPermissions;
+import com.kingsrook.qbits.dataanalysis.saved.AnalysisExport;
+import com.kingsrook.qbits.dataanalysis.saved.SavedAnalyses;
+import com.kingsrook.qbits.dataanalysis.saved.SavedDefinition;
+import com.kingsrook.qbits.dataanalysis.saved.SavedResult;
+import com.kingsrook.qbits.dataanalysis.watch.WatchRecords;
+import com.kingsrook.qqq.backend.core.actions.messaging.SendMessageAction;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionEnforcement;
+import com.kingsrook.qqq.backend.core.actions.permissions.PermissionsHelper;
+import com.kingsrook.qqq.backend.core.actions.permissions.TablePermissionSubType;
+import com.kingsrook.qqq.backend.core.actions.tables.UpdateAction;
+import com.kingsrook.qqq.backend.core.alerts.AlertRecordRef;
+import com.kingsrook.qqq.backend.core.alerts.AlertSeverity;
+import com.kingsrook.qqq.backend.core.alerts.AlertSignal;
+import com.kingsrook.qqq.backend.core.alerts.QAlerts;
+import com.kingsrook.qqq.backend.core.context.CapturedContext;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.exceptions.QPermissionDeniedException;
+import com.kingsrook.qqq.backend.core.model.actions.messaging.Attachment;
+import com.kingsrook.qqq.backend.core.model.actions.messaging.Content;
+import com.kingsrook.qqq.backend.core.model.actions.messaging.Party;
+import com.kingsrook.qqq.backend.core.model.actions.messaging.SendMessageInput;
+import com.kingsrook.qqq.backend.core.model.actions.messaging.email.EmailContentRole;
+import com.kingsrook.qqq.backend.core.model.actions.tables.query.QCriteriaOperator;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.session.QSession;
+import com.kingsrook.qqq.backend.core.model.session.QUser;
+import com.kingsrook.qqq.backend.core.modules.authentication.QAuthenticationModuleDispatcher;
+
+/*******************************************************************************
+ ** Scheduled work uses owner and recipient sessions; maintenance only inventories rows.
+ *******************************************************************************/
+public class ScheduleRunner
+{
+   public static final String ALERT_TYPE = "data.analysis.schedule.failed";
+   private final DataAnalysisQBitConfig config;
+   private final DataAnalysisService service;
+
+   /*******************************************************************************
+    ** One instance serializes manual and automatic delivery on this application node.
+    *******************************************************************************/
+   public ScheduleRunner(DataAnalysisQBitConfig config, DataAnalysisService service)
+   {
+      this.config = config;
+      this.service = service;
+   }
+
+   /*******************************************************************************
+    ** Enumerate enabled due rows with a maintenance session restricted to metadata.
+    *******************************************************************************/
+   public synchronized Integer runDue(Instant now) throws QException
+   {
+      QSession maintenance = new QSession().withUser(new QUser().withIdReference("data-analysis-scheduler"))
+         .withPermissions("data_analysis.saved.read", "data_analysis.saved.edit")
+         .withSecurityKeyValue(DataAnalysisPermissions.ADMIN, true);
+      if(QContext.getQSession().getBackendVariants() != null)
+      {
+         maintenance.setBackendVariants(new java.util.HashMap<>(QContext.getQSession().getBackendVariants()));
+      }
+      int[] count = {0};
+      QContext.withTemporaryContext(new CapturedContext(QContext.getQInstance(), maintenance), () ->
+      {
+         var filter = DrillFilters.and(DrillFilters.condition("enabled", QCriteriaOperator.EQUALS, true),
+            DrillFilters.condition("next_run_at", QCriteriaOperator.LESS_THAN_OR_EQUALS, now));
+         for(QRecord row : SavedAnalyses.query(DataAnalysisTables.SCHEDULE, filter))
+         {
+            sendNow(row.getValue("id"), now);
+            count[0]++;
+         }
+      });
+      return (count[0]);
+   }
+
+   /*******************************************************************************
+    ** Manual delivery is authorized before source work; all attempts record their outcome.
+    *******************************************************************************/
+   public synchronized String sendNow(Serializable id, Instant now) throws QException
+   {
+      UpdateInput authorization = new UpdateInput(DataAnalysisTables.SCHEDULE);
+      authorization.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      if(!PermissionsHelper.hasTablePermission(authorization, DataAnalysisTables.SCHEDULE, TablePermissionSubType.EDIT))
+      {
+         throw new QPermissionDeniedException("Schedule editing is unavailable.");
+      }
+      QRecord schedule = WatchRecords.get(DataAnalysisTables.SCHEDULE, id);
+      String status;
+      boolean failed = false;
+      try
+      {
+         status = deliver(schedule);
+      }
+      catch(Exception e)
+      {
+         failed = true;
+         status = "Failed: " + (e instanceof QException ? e.getMessage() : "Delivery unavailable; check the host configuration.");
+      }
+      Instant next = null;
+      try
+      {
+         next = ScheduleTiming.next(schedule, now);
+      }
+      catch(QException e)
+      {
+         failed = true;
+         status += "; " + e.getMessage();
+      }
+      QRecord patch = new QRecord().withValue("id", id).withValue("last_run_at", now).withValue("last_status", status).withValue("next_run_at", next);
+      UpdateInput input = new UpdateInput(DataAnalysisTables.SCHEDULE).withRecords(List.of(patch));
+      input.setPermissionEnforcement(PermissionEnforcement.ENFORCE);
+      QRecord stored = new UpdateAction().execute(input).getRecords().getFirst();
+      if(stored.getErrors() != null && !stored.getErrors().isEmpty())
+      {
+         throw new QException("Schedule status could not be stored.");
+      }
+      if(failed)
+      {
+         QAlerts.raise(new AlertSignal(ALERT_TYPE).withDedupKey("data_analysis_schedule:" + id).withSeverity(AlertSeverity.ERROR)
+            .withTitle("Analysis schedule failed").withSummary(status).withRecordRef(AlertRecordRef.of(DataAnalysisTables.SCHEDULE, id)));
+      }
+      return (status);
+   }
+
+   /*******************************************************************************
+    ** The host resolves identities; an unavailable identity never becomes a system user.
+    *******************************************************************************/
+   private QSession session(String id) throws QException
+   {
+      QSession session;
+      try
+      {
+         session = config.getOwnerSessionSupplier() == null
+            ? new QAuthenticationModuleDispatcher().getQModule(QContext.getQInstance().getAuthentication()).createAutomatedSessionForUser(QContext.getQInstance(), id)
+            : config.getOwnerSessionSupplier().apply(id);
+      }
+      catch(Exception e)
+      {
+         throw new QException("User session unavailable.");
+      }
+      if(session == null || session.getUser() == null || !Objects.equals(id, session.getUser().getIdReference())
+         || session.getSecurityKeyValues() == null || !session.getSecurityKeyValues().getOrDefault(DataAnalysisTables.USER_KEY, List.of()).contains(id))
+      {
+         throw new QException("User session unavailable.");
+      }
+      return (session);
+   }
+
+   /*******************************************************************************
+    ** Re-run for each recipient to respect their record locks, not just table grants.
+    *******************************************************************************/
+   private String deliver(QRecord schedule) throws QException
+   {
+      if(config.getMessagingProviderName() == null || QContext.getQInstance().getMessagingProvider(config.getMessagingProviderName()) == null)
+      {
+         throw new QException("No messaging provider configured.");
+      }
+      if(config.getFromAddress() == null || config.getRecipientAddressSupplier() == null)
+      {
+         throw new QException("Configure fromAddress and recipientAddressSupplier for scheduled email.");
+      }
+      if(List.of("CSV", "XLSX").contains(Objects.toString(schedule.getValueString("format"), "")))
+      {
+         var provider = new com.kingsrook.qqq.backend.core.modules.messaging.QMessagingProviderDispatcher()
+            .getMessagingProviderInterface(QContext.getQInstance().getMessagingProvider(config.getMessagingProviderName()));
+         if(provider.getClass().equals(com.kingsrook.qqq.backend.core.model.metadata.messaging.email.EmailMessagingProvider.class))
+         {
+            throw new QException("Core EMAIL provider does not support attachments; configure an attachment-capable messaging provider.");
+         }
+      }
+      QRecord saved = WatchRecords.get(DataAnalysisTables.SAVED, schedule.getValue("saved_id"));
+      String owner = saved.getValueString("owner_user_id");
+      SavedDefinition[] definition = new SavedDefinition[1];
+      SavedResult[] ownerResult = new SavedResult[1];
+      QContext.withTemporaryContext(new CapturedContext(QContext.getQInstance(), session(owner)), () ->
+      {
+         definition[0] = SavedDefinition.parse(WatchRecords.get(DataAnalysisTables.SAVED, saved.getValue("id")));
+         if("TABLE_PROFILE".equals(definition[0].kind()) && definition[0].body().get("fields") == null)
+         {
+            var body = definition[0].body();
+            body.put("fields", service.capabilities(definition[0].request().getTableName()).getFields());
+            definition[0] = SavedDefinition.parse(definition[0].kind(), definition[0].request().getTableName(), body);
+         }
+         ownerResult[0] = definition[0].run(service, true);
+      });
+      List<String> skipped = new ArrayList<>();
+      List<String> failures = new ArrayList<>();
+      int sent = 0;
+      for(String recipient : ScheduleCustomizer.recipients(schedule))
+      {
+         SavedResult[] result = new SavedResult[1];
+         String address;
+         try
+         {
+            QSession viewer = session(recipient);
+            QContext.withTemporaryContext(new CapturedContext(QContext.getQInstance(), viewer), () ->
+            {
+               result[0] = recipient.equals(owner) ? ownerResult[0] : definition[0].run(service, true);
+            });
+            address = config.getRecipientAddressSupplier().apply(recipient);
+            if(address == null || address.isBlank())
+            {
+               throw new QException("No email address.");
+            }
+         }
+         catch(Exception e)
+         {
+            skipped.add(recipient);
+            continue;
+         }
+         try
+         {
+            SendMessageInput message = new SendMessageInput().withMessagingProviderName(config.getMessagingProviderName())
+               .withFrom(new Party().withAddress(config.getFromAddress())).withTo(new Party().withAddress(address))
+               .withSubject("Analysis: " + saved.getValueString("name"))
+               .withContent(new Content().withContentRole(EmailContentRole.HTML).withBody(html(saved.getValueString("name"), result[0])));
+            String format = schedule.getValueString("format");
+            if("CSV".equals(format) || "XLSX".equals(format))
+            {
+               var file = AnalysisExport.file(result[0], format);
+               message.withAttachment(new Attachment().withName(file.filename()).withContents(file.bytes()));
+            }
+            new SendMessageAction().execute(message);
+            sent++;
+         }
+         catch(Exception e)
+         {
+            failures.add(recipient);
+         }
+      }
+      String status = "Sent " + sent + "; skipped: " + (skipped.isEmpty() ? "none" : String.join(", ", skipped));
+      if(!failures.isEmpty())
+      {
+         throw new QException(status + "; delivery failed for: " + String.join(", ", failures));
+      }
+      return (status);
+   }
+
+   /*******************************************************************************
+    ** Formatted result rows are escaped; pivots include only the first twenty rows.
+    *******************************************************************************/
+   public static String html(String name, SavedResult result)
+   {
+      var table = AnalysisExport.table(result);
+      StringBuilder html = new StringBuilder("<h2>").append(escape(name)).append("</h2>");
+      for(String warning : result.warnings())
+      {
+         html.append("<p>").append(escape(warning)).append("</p>");
+      }
+      html.append("<dl>");
+      for(var metric : AnalysisExport.headlines(result))
+      {
+         html.append("<dt>").append(escape(metric.getLabel())).append("</dt><dd>").append(escape(AnalysisExport.value(metric))).append("</dd>");
+      }
+      html.append("</dl><table><thead><tr>");
+      table.columns().forEach(c -> html.append("<th>").append(escape(c)).append("</th>"));
+      html.append("</tr></thead><tbody>");
+      for(var row : table.rows().stream().limit(20).toList())
+      {
+         html.append("<tr>");
+         row.forEach(value -> html.append("<td>").append(escape(value)).append("</td>"));
+         html.append("</tr>");
+      }
+      return (html.append("</tbody></table>").toString());
+   }
+
+   /*******************************************************************************
+    ** Source labels and values are text, never trusted email markup.
+    *******************************************************************************/
+   private static String escape(String value)
+   {
+      return (Objects.toString(value, "").replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;").replace("\"", "&quot;").replace("'", "&#39;"));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/schedule/ScheduleTiming.java

@@ -0,0 +1,111 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.schedule;
+
+import java.time.Instant;
+import java.time.LocalDate;
+import java.time.LocalTime;
+import java.time.ZoneId;
+import java.time.temporal.TemporalAdjusters;
+import java.util.Date;
+import java.util.TimeZone;
+import com.kingsrook.qqq.backend.core.exceptions.QBadRequestException;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import org.quartz.CronExpression;
+
+/*******************************************************************************
+ ** Calendar schedules use local wall time; cron uses Quartz's existing parser.
+ *******************************************************************************/
+public final class ScheduleTiming
+{
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private ScheduleTiming()
+   {
+   }
+
+   /*******************************************************************************
+    ** Strictly after now; missing monthly dates clamp to that month's last day.
+    ** Java resolves spring gaps forward and chooses the first autumn occurrence.
+    *******************************************************************************/
+   public static Instant next(QRecord row, Instant now) throws QBadRequestException
+   {
+      try
+      {
+         ZoneId zone = ZoneId.of(row.getValueString("time_zone") == null ? "UTC" : row.getValueString("time_zone"));
+         String cron = row.getValueString("cron");
+         if(cron != null && !cron.isBlank())
+         {
+            CronExpression expression = new CronExpression(cron);
+            expression.setTimeZone(TimeZone.getTimeZone(zone));
+            Date next = expression.getNextValidTimeAfter(Date.from(now));
+            if(next == null)
+            {
+               throw new IllegalArgumentException("Cron has no future occurrence.");
+            }
+            return (next.toInstant());
+         }
+         LocalTime time = LocalTime.parse(row.getValueString("time"));
+         String frequency = row.getValueString("frequency");
+         Integer day = row.getValueInteger("day");
+         LocalDate date = now.atZone(zone).toLocalDate();
+         for(int attempt = 0; attempt < 3; attempt++)
+         {
+            LocalDate candidate = switch(frequency)
+            {
+               case "DAILY" -> date;
+               case "WEEKLY" -> date.with(TemporalAdjusters.nextOrSame(java.time.DayOfWeek.of(day)));
+               case "MONTHLY" -> date.withDayOfMonth(Math.min(requireDay(day), date.lengthOfMonth()));
+               default -> throw new IllegalArgumentException("Choose DAILY, WEEKLY or MONTHLY.");
+            };
+            Instant instant = candidate.atTime(time).atZone(zone).toInstant();
+            if(instant.isAfter(now))
+            {
+               return (instant);
+            }
+            date = switch(frequency)
+            {
+               case "WEEKLY" -> candidate.plusWeeks(1);
+               case "MONTHLY" -> candidate.plusMonths(1).withDayOfMonth(1);
+               default -> candidate.plusDays(1);
+            };
+         }
+         throw new IllegalArgumentException("No future occurrence.");
+      }
+      catch(Exception e)
+      {
+         throw new QBadRequestException("Invalid schedule: choose a valid frequency/day, local time, time zone or Quartz cron.");
+      }
+   }
+
+   /*******************************************************************************
+    ** Month days are one-based and never silently wrap into another month.
+    *******************************************************************************/
+   private static int requireDay(Integer day)
+   {
+      if(day == null || day < 1 || day > 31)
+      {
+         throw new IllegalArgumentException("Monthly day must be 1 to 31.");
+      }
+      return (day);
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/stats/SpecialFunctions.java

@@ -0,0 +1,179 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.stats;
+
+/*******************************************************************************
+ ** Regularized beta and gamma using convergent series and continued fractions.
+ ** Lanczos log-gamma keeps products in log space; tails are evaluated directly.
+ *******************************************************************************/
+public final class SpecialFunctions
+{
+   private static final double EPSILON = 1e-14;
+   private static final double TINY = 1e-300;
+   private static final int ITERATIONS = 10000;
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private SpecialFunctions()
+   {
+   }
+
+   /*******************************************************************************
+    ** Student t cumulative distribution, with symmetry around zero.
+    *******************************************************************************/
+   public static double studentTCdf(double t, double df)
+   {
+      double tail = beta(df / (df + t * t), df / 2, 0.5) / 2;
+      return (t < 0 ? tail : 1 - tail);
+   }
+
+   /*******************************************************************************
+    ** Chi-square CDF; significance tests use gammaQ directly to retain tiny tails.
+    *******************************************************************************/
+   public static double chiSquareCdf(double x, double df)
+   {
+      return (1 - gammaQ(df / 2, x / 2));
+   }
+
+   /*******************************************************************************
+    ** Lanczos approximation, reflected below one half.
+    *******************************************************************************/
+   public static double logGamma(double z)
+   {
+      double[] coefficients = {676.5203681218851, -1259.1392167224028, 771.3234287776531, -176.6150291621406,
+         12.507343278686905, -0.13857109526572012, 9.984369578019572e-6, 1.5056327351493116e-7};
+      if(z < 0.5)
+      {
+         return (Math.log(Math.PI) - Math.log(Math.sin(Math.PI * z)) - logGamma(1 - z));
+      }
+      double x = 0.99999999999980993;
+      for(int i = 0; i < coefficients.length; i++)
+      {
+         x += coefficients[i] / (z + i);
+      }
+      double t = z + 6.5;
+      return (0.5 * Math.log(2 * Math.PI) + (z - 0.5) * Math.log(t) - t + Math.log(x));
+   }
+
+   /*******************************************************************************
+    ** Regularized incomplete beta I_x(a,b), with symmetry for stable tails.
+    *******************************************************************************/
+   public static double beta(double x, double a, double b)
+   {
+      if(x <= 0 || x >= 1)
+      {
+         return (x <= 0 ? 0 : 1);
+      }
+      double factor = Math.exp(logGamma(a + b) - logGamma(a) - logGamma(b) + a * Math.log(x) + b * Math.log1p(-x));
+      return (clamp(x < (a + 1) / (a + b + 2) ? factor * betaFraction(x, a, b) / a : 1 - factor * betaFraction(1 - x, b, a) / b));
+   }
+
+   /*******************************************************************************
+    ** Modified Lentz evaluation of the incomplete beta continued fraction.
+    *******************************************************************************/
+   private static double betaFraction(double x, double a, double b)
+   {
+      double c = 1;
+      double d = 1 / nonzero(1 - (a + b) * x / (a + 1));
+      double h = d;
+      for(int m = 1; m <= ITERATIONS; m++)
+      {
+         double aa = m * (b - m) * x / ((a + 2 * m - 1) * (a + 2 * m));
+         d = 1 / nonzero(1 + aa * d);
+         c = nonzero(1 + aa / c);
+         h *= d * c;
+         aa = -(a + m) * (a + b + m) * x / ((a + 2 * m) * (a + 2 * m + 1));
+         d = 1 / nonzero(1 + aa * d);
+         c = nonzero(1 + aa / c);
+         double delta = d * c;
+         h *= delta;
+         if(Math.abs(delta - 1) < EPSILON)
+         {
+            return (h);
+         }
+      }
+      throw new ArithmeticException("Incomplete beta did not converge");
+   }
+
+   /*******************************************************************************
+    ** Upper regularized gamma Q(a,x), the chi-square survival probability.
+    *******************************************************************************/
+   public static double gammaQ(double a, double x)
+   {
+      if(x <= 0)
+      {
+         return (1);
+      }
+      double factor = Math.exp(-x + a * Math.log(x) - logGamma(a));
+      if(x < a + 1)
+      {
+         double term = 1 / a;
+         double sum = term;
+         for(int n = 1; n <= ITERATIONS; n++)
+         {
+            term *= x / (a + n);
+            sum += term;
+            if(Math.abs(term) < Math.abs(sum) * EPSILON)
+            {
+               return (clamp(1 - sum * factor));
+            }
+         }
+      }
+      else
+      {
+         double b = x + 1 - a;
+         double c = 1 / TINY;
+         double d = 1 / nonzero(b);
+         double h = d;
+         for(int n = 1; n <= ITERATIONS; n++)
+         {
+            double an = -n * (n - a);
+            b += 2;
+            d = 1 / nonzero(an * d + b);
+            c = nonzero(b + an / c);
+            double delta = d * c;
+            h *= delta;
+            if(Math.abs(delta - 1) < EPSILON)
+            {
+               return (clamp(factor * h));
+            }
+         }
+      }
+      throw new ArithmeticException("Incomplete gamma did not converge");
+   }
+
+   /*******************************************************************************
+    ** Avoid divisions by zero without changing the sign of a fraction term.
+    *******************************************************************************/
+   private static double nonzero(double value)
+   {
+      return (Math.abs(value) < TINY ? Math.copySign(TINY, value) : value);
+   }
+
+   /*******************************************************************************
+    ** Roundoff cannot create a probability outside its domain.
+    *******************************************************************************/
+   private static double clamp(double value)
+   {
+      return (Math.max(0, Math.min(1, value)));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/stats/Statistics.java

@@ -0,0 +1,331 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.stats;
+
+import java.util.Arrays;
+import java.util.Locale;
+
+/*******************************************************************************
+ ** Dependency-free statistical tests. All tests use two-sided 5% significance.
+ *******************************************************************************/
+public final class Statistics
+{
+   /*******************************************************************************
+    ** Non-applicable results never contain NaN, infinity or an invented p-value.
+    *******************************************************************************/
+   public record Result(String test, Double statistic, Double df, Double pValue, boolean applicable, String sentence, Double cramersV)
+   {
+   }
+
+   /*******************************************************************************
+    ** Utility class.
+    *******************************************************************************/
+   private Statistics()
+   {
+   }
+
+   /*******************************************************************************
+    ** Explain failed assumptions without claiming a negative test result.
+    *******************************************************************************/
+   public static Result unavailable(String test, String reason)
+   {
+      return (new Result(test, null, null, null, false, "Not applicable: " + reason, null));
+   }
+
+   /*******************************************************************************
+    ** The strict comparison deliberately excludes p equal to 0.05.
+    *******************************************************************************/
+   public static String sentence(double p)
+   {
+      String formatted = p < 0.001 ? String.format(Locale.ROOT, "%.3g", p)
+         : java.math.BigDecimal.valueOf(p).setScale(p < 0.01 ? 3 : 2, java.math.RoundingMode.HALF_UP).stripTrailingZeros().toPlainString();
+      return ((p < 0.05 ? "A and B differ" : "No significant difference") + " (p = " + formatted + ")");
+   }
+
+   /*******************************************************************************
+    ** Pooled standard error under equal proportions; require expected counts >= 5.
+    *******************************************************************************/
+   public static Result proportions(long successesA, long nA, long successesB, long nB)
+   {
+      String test = "Two-proportion z-test";
+      if(nA < 2 || nB < 2)
+      {
+         return (unavailable(test, "too few records"));
+      }
+      if(successesA < 0 || successesB < 0 || successesA > nA || successesB > nB)
+      {
+         return (unavailable(test, "invalid counts"));
+      }
+      double pooled = ((double) successesA + successesB) / ((double) nA + nB);
+      if(Math.min(Math.min(nA * pooled, nA * (1 - pooled)), Math.min(nB * pooled, nB * (1 - pooled))) < 5)
+      {
+         return (unavailable(test, "expected counts below 5"));
+      }
+      double z = ((double) successesA / nA - (double) successesB / nB) / Math.sqrt(pooled * (1 - pooled) * (1.0 / nA + 1.0 / nB));
+      double p = SpecialFunctions.gammaQ(0.5, z * z / 2);
+      return (new Result(test, z, null, p, true, sentence(p), null));
+   }
+
+   /*******************************************************************************
+    ** Welch-Satterthwaite degrees of freedom from sample (ddof=1) variances.
+    *******************************************************************************/
+   public static Result welch(long nA, double meanA, double varianceA, long nB, double meanB, double varianceB)
+   {
+      String test = "Welch's t-test";
+      if(nA < 2 || nB < 2)
+      {
+         return (unavailable(test, "too few records"));
+      }
+      if(!Double.isFinite(meanA) || !Double.isFinite(meanB) || !Double.isFinite(varianceA) || !Double.isFinite(varianceB) || varianceA < 0 || varianceB < 0)
+      {
+         return (unavailable(test, "invalid numeric summary"));
+      }
+      double a = varianceA / nA;
+      double b = varianceB / nB;
+      if(a + b == 0)
+      {
+         return (unavailable(test, "both groups have zero variance"));
+      }
+      double t = (meanA - meanB) / Math.sqrt(a + b);
+      double df = (a + b) * (a + b) / (a * a / (nA - 1) + b * b / (nB - 1));
+      double p = SpecialFunctions.beta(df / (df + t * t), df / 2, 0.5);
+      return (new Result(test, t, df, p, true, sentence(p), null));
+   }
+
+   /*******************************************************************************
+    ** Pearson chi-square without Yates correction; low expected categories pool
+    ** into Other. Homogeneity preserves sample rows; independence pools both axes.
+    *******************************************************************************/
+   public static Result chiSquare(double[][] observed, boolean homogeneity)
+   {
+      String test = homogeneity ? "Chi-square homogeneity" : "Chi-square independence";
+      if(observed == null || observed.length < 2 || observed[0] == null || observed[0].length < 2)
+      {
+         return (unavailable(test, "a table of at least 2 by 2 is required"));
+      }
+      int columns = observed[0].length;
+      for(double[] row : observed)
+      {
+         if(row == null || row.length != columns || Arrays.stream(row).anyMatch(v -> !Double.isFinite(v) || v < 0))
+         {
+            return (unavailable(test, "invalid counts"));
+         }
+         if(homogeneity && Arrays.stream(row).sum() < 2)
+         {
+            return (unavailable(test, "too few records"));
+         }
+      }
+
+      ////////////////////////////////////////////////////////////////////////////////
+      // pool the smallest category into Other until every expected count is >= 5. //
+      // homogeneity compares fixed samples (rows), so only columns are pooled.     //
+      ////////////////////////////////////////////////////////////////////////////////
+      double[][] table = Arrays.stream(observed).map(double[]::clone).toArray(double[][]::new);
+      boolean rowOther    = false;
+      boolean columnOther = false;
+      while(!validExpected(table))
+      {
+         double[] rows = Arrays.stream(table).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+         double[] cols = Arrays.stream(transpose(table)).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+         int smallestRow = homogeneity ? -1 : smallestIndex(rows, rowOther);
+         int smallestCol = smallestIndex(cols, columnOther);
+         boolean poolRow = smallestRow >= 0 && (smallestCol < 0 || rows[smallestRow] <= cols[smallestCol]);
+         if(poolRow)
+         {
+            table = transpose(poolInto(transpose(table), smallestRow, rowOther));
+            rowOther = true;
+         }
+         else if(smallestCol >= 0)
+         {
+            table = poolInto(table, smallestCol, columnOther);
+            columnOther = true;
+         }
+         else
+         {
+            break;
+         }
+         if(table.length < 2 || table[0].length < 2)
+         {
+            break;
+         }
+      }
+      if(table.length < 2 || table[0].length < 2)
+      {
+         return (unavailable(test, "too few categories after merging expected counts below 5 into Other"));
+      }
+      if(!validExpected(table))
+      {
+         return (unavailable(test, homogeneity ? "too few records" : "expected counts below 5 after merging into Other"));
+      }
+      double[] rows = Arrays.stream(table).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+      double[] cols = Arrays.stream(transpose(table)).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+      double total = Arrays.stream(rows).sum();
+      double statistic = 0;
+      for(int i = 0; i < rows.length; i++)
+      {
+         for(int j = 0; j < cols.length; j++)
+         {
+            double expected = rows[i] * cols[j] / total;
+            statistic += Math.pow(table[i][j] - expected, 2) / expected;
+         }
+      }
+      double df = (rows.length - 1.0) * (cols.length - 1.0);
+      double p = SpecialFunctions.gammaQ(df / 2, statistic / 2);
+      double v = Math.sqrt(statistic / (total * Math.min(rows.length - 1, cols.length - 1)));
+      return (new Result(test, statistic, df, p, true, sentence(p), v));
+   }
+
+
+
+   /*******************************************************************************
+    ** Every expected count is at least five (and the table is at least 2 by 2).
+    *******************************************************************************/
+   private static boolean validExpected(double[][] table)
+   {
+      if(table.length < 2 || table[0].length < 2)
+      {
+         return (false);
+      }
+      double[] rows = Arrays.stream(table).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+      double[] columns = Arrays.stream(transpose(table)).mapToDouble(r -> Arrays.stream(r).sum()).toArray();
+      double total = Arrays.stream(rows).sum();
+      return (total > 0 && Arrays.stream(rows).min().orElse(0) * Arrays.stream(columns).min().orElse(0) / total >= 5);
+   }
+
+
+
+   /*******************************************************************************
+    ** The index of the smallest category, not counting a trailing Other (which
+    ** only grows), or -1 when there is nothing left to pool.
+    *******************************************************************************/
+   private static int smallestIndex(double[] totals, boolean lastIsOther)
+   {
+      int limit = lastIsOther ? totals.length - 1 : totals.length;
+      if(limit <= (lastIsOther ? 0 : 1))
+      {
+         return (-1);
+      }
+      int smallest = 0;
+      for(int i = 1; i < limit; i++)
+      {
+         if(totals[i] < totals[smallest])
+         {
+            smallest = i;
+         }
+      }
+      return (smallest);
+   }
+
+
+
+   /*******************************************************************************
+    ** Move one column into a trailing Other column (creating it if needed).
+    *******************************************************************************/
+   private static double[][] poolInto(double[][] table, int column, boolean hasOther)
+   {
+      int columns = table[0].length;
+      int width = hasOther ? columns - 1 : columns;
+      double[][] result = new double[table.length][width];
+      for(int i = 0; i < table.length; i++)
+      {
+         int target = 0;
+         for(int j = 0; j < columns; j++)
+         {
+            if(j == column || (hasOther && j == columns - 1))
+            {
+               continue;
+            }
+            result[i][target++] = table[i][j];
+         }
+         result[i][width - 1] = table[i][column] + (hasOther ? table[i][columns - 1] : 0);
+      }
+      return (result);
+   }
+
+
+
+   /*******************************************************************************
+    ** Transposition lets independence apply the same pooling rule to both axes.
+    *******************************************************************************/
+   private static double[][] transpose(double[][] input)
+   {
+      double[][] result = new double[input[0].length][input.length];
+      for(int i = 0; i < input.length; i++)
+      {
+         for(int j = 0; j < input[i].length; j++)
+         {
+            result[j][i] = input[i][j];
+         }
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Normalize counts to shares; floor zero shares at 1e-6 for finite PSI.
+    ** This descriptive index is not a p-value or a significance test.
+    *******************************************************************************/
+   public static Double psi(double[] first, double[] last)
+   {
+      if(first == null || last == null || first.length == 0 || first.length != last.length
+         || Arrays.stream(first).anyMatch(v -> !Double.isFinite(v) || v < 0) || Arrays.stream(last).anyMatch(v -> !Double.isFinite(v) || v < 0))
+      {
+         return (null);
+      }
+      double a = Arrays.stream(first).sum();
+      double b = Arrays.stream(last).sum();
+      if(a <= 0 || b <= 0)
+      {
+         return (null);
+      }
+      double result = 0;
+      for(int i = 0; i < first.length; i++)
+      {
+         double x = Math.max(1e-6, first[i] / a);
+         double y = Math.max(1e-6, last[i] / b);
+         result += (y - x) * Math.log(y / x);
+      }
+      return (result);
+   }
+
+   /*******************************************************************************
+    ** Centered covariance avoids cancellation for large offsets; null on constants.
+    *******************************************************************************/
+   public static Double pearson(double[] x, double[] y)
+   {
+      if(x == null || y == null || x.length < 2 || x.length != y.length
+         || Arrays.stream(x).anyMatch(v -> !Double.isFinite(v)) || Arrays.stream(y).anyMatch(v -> !Double.isFinite(v)))
+      {
+         return (null);
+      }
+      double meanX = Arrays.stream(x).average().orElseThrow();
+      double meanY = Arrays.stream(y).average().orElseThrow();
+      double xx = 0;
+      double yy = 0;
+      double xy = 0;
+      for(int i = 0; i < x.length; i++)
+      {
+         xx += (x[i] - meanX) * (x[i] - meanX);
+         yy += (y[i] - meanY) * (y[i] - meanY);
+         xy += (x[i] - meanX) * (y[i] - meanY);
+      }
+      return (xx == 0 || yy == 0 ? null : Math.max(-1, Math.min(1, xy / Math.sqrt(xx * yy))));
+   }
+}

src/main/java/com/kingsrook/qbits/dataanalysis/watch/WatchBucket.java

@@ -0,0 +1,32 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.watch;
+
+import java.io.Serializable;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.result.Drill;
+
+/*******************************************************************************
+ ** One complete calendar bucket, ordered oldest first for detector input.
+ *******************************************************************************/
+public record WatchBucket(Serializable start, Double value, Set<String> categories, Drill drill)
+{
+}

src/main/java/com/kingsrook/qbits/dataanalysis/watch/WatchCustomizer.java

@@ -0,0 +1,97 @@
+/*
+ * QQQ - Low-code Application Framework for Engineers.
+ * Copyright (C) 2021-2025.  Kingsrook, LLC
+ * 651 N Broad St Ste 205 # 6917 | Middletown DE 19709 | United States
+ * contact@kingsrook.com
+ * https://github.com/Kingsrook/
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.kingsrook.qbits.dataanalysis.watch;
+
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Optional;
+import java.util.Set;
+import com.kingsrook.qbits.dataanalysis.model.DataAnalysisTables;
+import com.kingsrook.qbits.dataanalysis.permissions.DataAnalysisPermissions;
+import com.kingsrook.qqq.backend.core.actions.customizers.TableCustomizerInterface;
+import com.kingsrook.qqq.backend.core.context.QContext;
+import com.kingsrook.qqq.backend.core.exceptions.QException;
+import com.kingsrook.qqq.backend.core.model.actions.tables.insert.InsertInput;
+import com.kingsrook.qqq.backend.core.model.actions.tables.update.UpdateInput;
+import com.kingsrook.qqq.backend.core.model.data.QRecord;
+import com.kingsrook.qqq.backend.core.model.statusmessages.BadInputStatusMessage;
+
+/*******************************************************************************
+ ** Validate standard table CRUD, including partial updates and owner changes.
+ *******************************************************************************/
+public class WatchCustomizer implements TableCustomizerInterface
+{
+   private static final Set<String> CONFIGURATION = Set.of("saved_id", "table_name", "filter_json", "metric_json", "date_field", "bucket",
+      "detector", "parameters_json", "severity", "owner_user_id", "enabled");
+
+   /*******************************************************************************
+    ** Validate every inserted watch, including disabled drafts.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preInsert(InsertInput input, List<QRecord> records, boolean preview) throws QException
+   {
+      for(QRecord record : records)
+      {
+         validate(record, record);
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** Merge partial patches with the stored row before checking detector parameters.
+    *******************************************************************************/
+   @Override
+   public List<QRecord> preUpdate(UpdateInput input, List<QRecord> records, boolean preview, Optional<List<QRecord>> oldRecords) throws QException
+   {
+      for(QRecord record : records)
+      {
+         if(record.getValues().keySet().stream().noneMatch(CONFIGURATION::contains))
+         {
+            continue;
+         }
+         QRecord old = WatchRecords.get(DataAnalysisTables.WATCH, record.getValue("id"));
+         QRecord merged = new QRecord(old);
+         merged.getValues().putAll(record.getValues());
+         validate(record, merged);
+      }
+      return (records);
+   }
+
+   /*******************************************************************************
+    ** Record-level messages are shown by normal core insert/update screens.
+    *******************************************************************************/
+   private void validate(QRecord output, QRecord merged)
+   {
+      try
+      {
+         String owner = merged.getValueString("owner_user_id");
+         var session = QContext.getQSession();
+         WatchDefinition.require(owner != null && !owner.isBlank(), "owner_user_id is required.");
+         WatchDefinition.require(session != null && (session.hasPermission(DataAnalysisPermissions.ADMIN)
+            || session.getUser() != null && owner.equals(session.getUser().getIdReference())), "Only an administrator may assign another watch owner.");
+         WatchDefinition.parse(WatchRecords.resolve(merged));
+      }
+      catch(QException e)
+      {
+         output.addError(new BadInputStatusMessage(e.getMessage()));
+      }
+   }
+}