> ## Documentation Index > Fetch the complete documentation index at: https://docs.anomalyarmor.ai/llms.txt > Use this file to discover all available pages before exploring further. # Changelog > Product updates, new features, and improvements to AnomalyArmor Stay up to date with the latest improvements to AnomalyArmor. ### Data Quality * Improved bulk actions on metrics and referential checks to run as a single batched operation, so activating, deactivating, or deleting many checks at once is noticeably faster. ### Assets * Improved discovery and alert loading on large warehouses by batching column lookups, turning hundreds of queries into one for faster page loads. ### Intelligence * Improved intelligence analysis so a run is marked complete only when the full analysis succeeds, giving you results you can trust. ### AI Agent * Added a public [How it works](/how-it-works) demo where you can watch a Data Reliability Crew run live on a sample warehouse, with no signup or setup. Pick a crew member and see it work step by step. * Added per-member signature panels to the crew demo, so each specialist shows its own artifact: column profiles for the Profiler, freshness at a glance for the Sentinel, root-cause callouts for the Investigator, and governance coverage for the Governor. * Improved the agent page with a resizable, hideable split-screen canvas alongside chat, featuring a Data Reliability Graph that highlights the tables the agent touches as it works. ### Lineage * Improved the lineage graph with a clean, layered data-reliability view and a selectable quality lens, so you can color nodes by the dimension you care about while entity type stays readable at a glance. ### Onboarding * Improved signup to use your work email, keeping each workspace tied to your organization. Existing accounts are unaffected. ### Billing * Improved the AI usage meter to show when your monthly AI operations refresh, so you can see your reset date at a glance and plan your usage for the month. ### Billing * Added a **Free plan** (\$0/mo) available at signup, including 3 tables, 1 data source, 20 AI operations per month, and daily scans, so you can keep monitoring your most important data at no cost. [Compare plans](/billing/plans). * Improved the trial experience so that when a trial ends your workspace moves to the Free plan automatically instead of pausing, keeping your core monitoring running. * Added an AI usage meter so you can track your monthly AI operations against your plan limit, with a clear in-app prompt to upgrade when you reach it. ### Alerts * Added **incident correlation**. When one upstream problem cascades through your lineage, the downstream alerts now collapse into a single incident with a named root cause and a visible blast radius, instead of one alert per affected table. The incident sends a single Slack message (later alerts thread beneath it) and auto-resolves once every grouped alert clears. On by default for accounts with lineage. [Learn more](/alerts/incident-correlation). ### Data Quality * Added a **Validity** monitor tab with a guided rule wizard, history chart, and detail view, so you can create and manage column validity rules directly in the UI. * Added an auto-baseline detection mode for validity monitors. It learns each rule's normal invalid rate from history and alerts only on an unusual spike, with a sensitivity slider to tune how aggressive it is. * Improved metric, row count, and validity monitors with operating-period awareness, so quiet closed hours like nights and weekends no longer skew the baseline your business-hours data is measured against. Link an operating schedule or let it learn the pattern automatically. ### SDK * Added validity rule create and update to the Python SDK, plus operating-period settings across metric, row count, and validity resources, so the new detection modes are configurable end to end from code. ### AI Agent * Added auto-baseline and operating-period settings to the agent's metric and validity tools, so assistants can turn on the new detection modes while setting up monitoring. ### SDK * Added `client.investigations.explain(asset_id, question)` to the Python SDK. Returns a structured `EvidenceCapsule` with root cause, triggers, consequences, confidence, and a suggested fix, each row cited back to the underlying record. Replaces the previous five-step investigation recipe with one typed call. * Added `client.investigations.get(investigation_id)` for retrieving persisted alert investigations in the same capsule shape. ### AI Agent * Added the `investigate_asset` agent tool. The agent now answers "why is this table stale?" with a citable capsule rendered inline in chat, where each piece of evidence links back to the alert, schema event, or asset it came from. ### Alerts * Improved alert digest grouping so related freshness and schema drift events on the same table collapse into a single notification, cutting noise in Slack and email destinations. ### UI * Improved blog header rendering with dark-mode aware SVG diagrams that match the docs theme on first paint, so visitors no longer see a brief flash of the wrong palette. ### Agent Readiness * Improved API entries in `llms.txt` with branded, descriptive titles so agents can pick the right endpoint by name instead of guessing from URLs. * Added the MCP OAuth discovery endpoints to `llms.txt` so MCP clients can find `/.well-known/oauth-authorization-server` and `/.well-known/openid-configuration` from the agent index. ### Agent Readiness * Added a **Developer Resources** section to the top of `llms.txt` so the OpenAPI spec, auth docs, webhooks, MCP server, and SDK references are discoverable by name at predictable URLs. * Improved `llms.txt` to emit per-page URLs with a `.md` suffix, so agents and crawlers can fetch the markdown mirror of any docs page directly. * Added a visible link to `/llms.txt` in the docs top bar and surfaced an LLM-agent directive in the rendered HTML of every page, so agents land on the markdown index without guessing. ### Documentation * Improved markdown mirrors at `docs.anomalyarmor.ai` so accordion and FAQ content render inline as headings, giving agents and offline readers full parity with the HTML pages. ### Data Contracts * Added ODCS v3.1.0 data contract export and import: pull contracts as YAML with `armor contract pull`, edit them in source control, then validate, plan, and apply changes back through the CLI or SDK. * Added bulk contract export across selected assets, with async job support and per-feature exports for freshness, schema drift, metrics, validity, row count, alert rules, destinations, and blackouts. * Added a `/migrate` landing page with a public validate endpoint so anyone can try a YAML contract against AnomalyArmor without an account. * Added contract import from existing **dbt** and **Soda** projects through a new adapter framework, so teams can bring their current data quality definitions across in one step. ### AI Agent * Added five new MCP tools so agents can validate, plan, apply, pull, and diff data contracts directly. ### SDK * Added the `armor contract` command group to the Python CLI for end-to-end contract workflows, plus contract export support in the JavaScript SDK. * Improved ODCS payload shapes for `customProperties` and root description fields so contracts round-trip cleanly with other ODCS-aware tools. ### Documentation * Added in-page FAQ blocks across the customer documentation, with question-and-answer content backfilled across the most-visited pages so common questions are answered in context. ### Security * Improved scope requirements on 25 public write endpoints for tighter API safety. ### SDK * Added the **@anomalyarmor/sdk** TypeScript SDK, with a companion developer guide on docs.anomalyarmor.ai for building agents and integrations against the platform. ### MCP Apps * Added customer documentation for MCP Apps, including four illustrated diagrams that walk through install, auth, and the tool-call flow. * Added OAuth 2.0 / OIDC discovery metadata at `/.well-known/oauth-authorization-server` and `/.well-known/openid-configuration` so MCP clients and third-party integrators can auto-discover our auth endpoints. ### API * Improved the public OpenAPI spec at `/openapi.json`: internal routes are filtered out, the endpoint is now reliably reachable through the edge, and a CI gate keeps the spec from drifting. * Improved the asset create API to return a clear `409 Conflict` response when a name is already in use, so duplicate-name handling is deterministic for API consumers. ### Authentication * Improved the reliability of magic-link sign-in and unsubscribe links when emails pass through link-scanning clients, so legitimate users land where they expect. ### Agent Readiness * Added an **Agent Readiness** runbook to the guides, covering the `ora.era` score, the agent-readiness surface inventory, and the SDK/MCP release process. * Added `npx skills add anomalyarmor/agents` to the install instructions as the preferred way to pull in the AnomalyArmor command skill pack. ### Row Count Monitoring * Added historical data bootstrapping so row count monitors skip the 7-day learning phase and get an instant baseline when a timestamp column is available. * Redesigned the row count detail chart with a rich tooltip showing expected range, deviation, status, confidence (N/30), and whether the point came from backfill or scheduled checks. * Per-point status colors (warning orange, anomaly red) make deviations easier to spot at a glance. * Bounds are now always visible on the chart, no toggle needed. * Added a configurable backfill panel with lookback period and granularity controls. * Added a hint in the UI when backfill isn't available because the table has no timestamp column. ### Integrations * Redesigned the integrations settings page with a sidebar + detail panel layout, grouped by category (Messaging, Notifications, Incident Management, Developer). * Sidebar shows connection status dots and destination counts at a glance. * Unconfigured integrations now show value-prop CTAs with headlines and bullets instead of empty "Not configured" states. ### Onboarding * Added a new wizard flow that carries intent and prompt from the marketing homepage through sign-up straight into the agent, auto-creating a demo asset along the way. * Added a "Connect your database" CTA card after the first agent response to guide users from the demo to real data. ### Alert Rules * Snoozed alerts can now be re-snoozed. ### Analytics * The campaign filter chip is now dismissible so you can clear it without reloading. ### Data Quality * Schema change review stats update instantly when toggling review status, no page refresh needed. ### AI Agent * Improved ability for AI to configure and manage schema drift monitoring. ### Data Quality * Added bulk activate, deactivate, and delete controls to the Drift tab so you can manage many drift monitors at once, matching the other monitor tabs. * Improved deep-linking on the asset data-quality page: the active tab now syncs to the URL, so links like `?tab=drift` open directly to the right tab and can be shared. ### Incidents * Redesigned the bulk action bar as a floating bottom bar for a cleaner, more consistent experience across pages. ### Alert Rules * Schema change rules can now be scoped by change type. Pick **Any change**, **Breaking only**, **Non-breaking only**, or **Specific types** to route breaking schema changes to PagerDuty and additive drift to a low-urgency channel without writing custom consumers. * Fixed a bug where rules created via the alert-rule wizard never fired on schema changes. Any affected rules have been automatically repaired. ### Tags * Redesigned the tags page with inline editing, keyboard navigation, and collapsible tag groups ### Alert Rules * Added bulk edit buttons for enabling, disabling, and deleting multiple alert rules at once ### AI Agent * Added clickable links in agent chat responses for quick navigation to referenced resources * Added bug report dialog with structured form fields for submitting issues from the agent * Added collapsible scope panel in the chat sidebar for managing conversation context * Added copy-to-clipboard for full chat conversations * Improved agent reliability and response quality ### Assets * Redesigned the assets page with the Slate design system for a cleaner layout * Added table monitoring drawer on the asset overview for quick access to monitors * Improved design consistency across schema, lineage, and freshness views ### Intelligence * Added analyze wizard dialog with toggleable context domains for customizing AI analysis * Added configurable sample size controls for LLM analysis in admin settings ### Monitoring * Added monitoring pipeline completeness tracking across all monitor types * Aligned column naming across all monitor tables for a consistent experience ### Charts * Migrated all charts to a new high-performance rendering engine for smoother interactions ### Coverage Intelligence * Added coverage tiers and scoring that rate your monitoring completeness from Bronze to Platinum * Added personalized monitoring recommendations with one-click setup * Added coverage badges on the asset list so you can spot gaps at a glance * Added zero-state guidance that helps new users get started when no monitoring exists yet * Added dismissal and recovery for recommendations you want to revisit later ### Custom SQL Monitors * Added custom SQL monitors for defining your own data quality checks with arbitrary queries ### AI Agent * Imnproved AI to make recommendations then implement recommendations across all features * Added tool access to Intelligence Q\&A for richer, data-backed answers * Added tag-scoped monitoring tools so the agent can manage monitors by tag * Added error guidance with clear next steps when agent actions fail * Improved agent reliability with automatic rollback on errors ### Homepage * Added daily AI briefing card summarizing your data health each morning ### Onboarding * Added welcome dialog for magic link users with guided first steps ### SDK * Added CoverageResource for programmatic access to coverage tiers and recommendations ### AI Agent * Consolidated 47 agent tools down to 18 streamlined v2 tools for faster, more reliable conversations * Added list\_objects and bulk operation tools for managing multiple resources at once * Polished agentic demo with improved tool discovery and error handling ### MCP Server * Added Slack destination management tools for alert routing via MCP ### Onboarding * Rewrote 40 walkthrough steps with motivation-first content explaining "why" before "how" * Added lineage diagram to intelligence chapter * Fixed chapter resume to use step ID instead of index, preventing skipped steps * Fixed stuck chapters with cascade toggle improvements and UI polish * Updated MCP chapter with real demo workflows ### Intelligence * Added object-level change history card for tracking schema evolution * Added full object intelligence profile with deep metadata analysis * Added knowledge base context injection into agent conversations * Added quality degradation alerting via Sentry for LLM output monitoring * Improved LLM parsing, profile UX, and added medallion recognition ### Alerts * Added Slack destinations with full SDK/MCP parity * Added destination management tools for MCP and SDK * Added operating schedules and blackout windows for alert rules ### UI * Improved light mode text readability ### SDK * Bumped SDK version to 0.4.0 * Fixed UUID/int type mismatch in freshness schedule endpoints ### Design System * Rebuilt all pages with the new Slate design system for a cleaner, more consistent look and feel * Added redesigned layout shell with updated navigation, theme toggle, and user menu * Added redesigned agent chat with full-screen overlay and scope tree for focused conversations * Added redesigned alert rules and badges pages with improved visual hierarchy ### Connections * Added 3-step connection wizard for adding and editing data sources * Added support for all 9 database types in the connection wizard ### Intelligence * Added full-screen chat overlay with scope tree for deeper data exploration * Improved anomaly deduplication in technical discoveries ### Email * Added 1-click unsubscribe ### Tags * Added Reset Tags button for quick bulk tag management ### AI Agent * Added in-app Web Agent with 31 tools for monitoring setup, alert management, and data exploration * Added session persistence so agent conversations carry across page navigations * Added real-time tool execution visibility showing each step the agent takes * Added guided monitoring setup assistant that chains discovery, scheduling, and alerting in one conversation ### Contextual Help * Added help banners to 12+ pages with links to relevant documentation * Added configurable help levels (none, light, heavy) in user preferences ### Authentication * Added magic link authentication for streamlined prospect onboarding ### Onboarding * Added welcome page for new prospects with guided first steps * Added learning page hero carousel with animated product mockups * Added interactive intro chapter with sales showcase ### Reliability * Improved race condition handling in demo resource creation and user preferences * Improved Slack destination metadata with channel info in agent responses * Improved cookie consent with corrected Axeptio identifier * Improved account deletion resilience with transaction poisoning prevention ### Page Redesigns * Added redesigned Asset Overview as a two-column command center with at-a-glance health status * Added redesigned Alerts Overview with streamlined inbox, trend charts, and bulk actions * Added redesigned Freshness Overview with SLA violation summaries and schedule status cards * Added redesigned Schema Changes page with stats bar, column-level filters, and table view * Added redesigned Data Quality page with FK check parity and unified monitoring controls * Added redesigned Intelligence page as a findings-first command center with anomaly deduplication * Added redesigned Lineage page with improved impact visualization * Added redesigned Tags page with split-pane review layout for faster tag management * Added redesigned Jobs page and Job Detail with clearer status tracking and duration display ### Monitoring * Added 4-step wizard for creating freshness schedules with guided configuration * Improved wizard accessibility with ARIA labels and keyboard navigation * Improved tooltip guidance throughout the monitoring setup flow ### Emails * Added one-click unsubscribe to all operational emails ### Onboarding * Improved walkthrough chapters with better step tracking across alerts, intelligence, and data quality * Improved intelligence chapter with interactive typewriter Q\&A demonstration ### Reliability * Improved alert inbox query performance with optimized indexes and statement timeouts * Improved frontend code quality with all lint warnings resolved and promoted to blocking checks ### Intelligence * Added Proactive Daily Briefing with AI-generated health summary of your entire data estate * Added Agentic Investigation API for SDK-driven root cause analysis * Added Automated Incident Investigation that correlates alerts with schema changes, freshness, and lineage * Added Resolution Learning that captures how alerts are resolved and suggests fixes for recurring patterns * Added Smart Alert Routing that identifies code authors from Git history and recommends who to notify ### GitHub Integration * Added one-click GitHub connect with automatic repository discovery * Added GitHub App installation with webhook support for real-time change tracking * Added repository-to-asset linking for tracing data issues back to code changes * Added Git monitoring toggle per asset with graceful analysis fallback * Added disconnect, sync status, and re-sync controls ### SDK & MCP * Added OAuth 2.1 authentication for MCP server, eliminating the need for API keys * Added SDK methods for daily briefings, resolution metadata, and code author fields * Added Clerk JWT support in RLS middleware for secure SDK and MCP queries * Improved SDK published to PyPI version 0.2.2 ### Assets * Added dedicated Assets index page to better enable customers with 20+ assets * Improved sidebar navigation so customer can pin only their most important assets to the left nav ### Billing * Added Strategic AI feature gating with plan-based access to intelligence features ### Reliability * Improved briefing endpoint error handling with standardized error responses ### Row Count Monitoring * Improved monitor creation flow with fixed form validation and API compatibility * Improved dropdown scrolling and documentation for row count configuration ### Onboarding * Improved walkthrough chapter navigation with better step tracking * Improved Connect chapter with error handling and premature advance prevention * Fixed multiple walkthrough bugs including step stuck states and tooltip positioning ### Documentation * Added in-app doc links integrated with Help & Guidance system on data quality sections * Improved 20+ diagrams and redesigned concepts overview chart ### UI * Improved consistent patterns across all data quality sections * Improved dark mode hover states for documentation links * Fixed asset deletion navigation and toast notification cleanup ### Onboarding * Added 9 new walkthrough chapters covering Freshness Monitoring, Schema Drift, and core fundamentals * Improved walkthrough navigation with better step tracking and faster auto-fill * Added Learning menu visibility toggle in settings ### Documentation * Added AI contextual menu integration for ChatGPT, Claude, and popular IDEs * Added 65+ visual diagrams across all documentation pages ### Settings * Added instant-save email notification toggles for faster preference updates ### UI * Renamed "Completeness" to "Row Count Monitoring" for clearer terminology * Improved frontend reliability and error recovery ### Intelligence * Added AI Skills with dry-run preview capabilities for safe testing before execution * Added Intelligent monitoring recommendations based on your data patterns * Added Alert resolution tracking and history for complete incident lifecycle management ### Assets * Added Schema baseline and monitoring configuration endpoints * Added Asset creation and management APIs * Added Freshness schedule CRUD operations ### Billing * Improved Data Quality billing status to include row count schedules ### SDK * Added Python SDK methods for AI skills, dry-run previews, and recommendations * Improved SDK published to PyPI version 0.2.0 ### UI * Added Row Count detail view with historical trend charts * Added Prediction visualization for row count monitoring * Improved Text selection now enabled in toast notifications * Improved User creation reliability and consistency ### Intelligence * Added Operational history and synthesis for Q\&A context * Added Time-based staleness detection for operational knowledge base domains * Improved Q\&A interface with cleaner, more intuitive layout ### Authentication * Improved User auto-creation reliability with enhanced error handling and retry logic ### Documentation * Added Phase 2.1 Core Concepts diagrams with 13 detailed visual guides ### UI * Improved Asset page load reliability and consistency * Improved Schema changes health indicators for maintenance vs unhealthy states ### Intelligence * Added context for schema drift, freshness, alerts, and more * Added Session history with rename and delete capabilities * Added Job-specific detail views for Intelligence Q\&A results ### Assets * Added SSH tunnel support for secure database connections * Added BigQuery and Athena interfaces ### Integrations * Added Linear notification provider * Added GitLab client for version control integration * Improved Lifecycle management for destination configuration ### Billing * Added Campaign tracking fields for trial codes * Improved Trial code handling with email and promo code pre-fill from URL parameters ### Authentication * Added Unified sign-in and sign-up interface with tabbed layout * Improved the onboarding process for new users with trial codes ### API * Added Batch API infrastructure to prevent rate limiting * Improved Rate limit handling with N+1 request prevention ### UI * Added Cookie consent and floating button visibility toggles in settings ## Recent Highlights | Date | Feature | What It Means for You | | ------ | ------------------------ | -------------------------------------------------------------------------------- | | Mar 15 | Agent Tool Consolidation | 47 tools consolidated to 18 for faster, more reliable agent conversations | | Mar 15 | Object Intelligence | Full object-level profiles with change history, KB context, and quality alerting | | Mar 15 | Alert Schedules | Operating schedules and blackout windows to silence alerts during maintenance | | Mar 15 | Dead Code Cleanup | \~31,700 lines removed for a leaner, faster codebase | | Mar 15 | Lifecycle Emails | Dedicated HTML templates for all lifecycle emails with consistent branding | *** ## Full Changelog ### Data Quality * Added Data Quality Metrics with per-row validation, distribution analysis, and referential integrity checks * Added Time-windowed metric capture with configurable collection intervals * Added Filtering, search, bulk operations, and virtualized lists for metrics management * Added Feature parity with data freshness monitoring (scheduling, SLA tracking, alerting) * Added Unified pool metering for data quality features ### Alerts * Improved Alert inbox page with modernized layout and better navigation * Improved Alert rules page with enhanced filtering and search * Improved Alert log page with improved readability and status tracking * Improved Alerts overview with better health visibility ### Settings Pages * Improved Profile, Company, Billing, Assets, API Keys, Integrations, and Users settings pages with consistent design * Improved Notification toggle auto-save reliability ### Assets * Added AWS Athena database adapter support * Improved Asset overview page with health status visibility * Improved Metric detail page with better data visualization ### SDK & CLI * Added SDK and CLI interfaces for data quality metrics management * Improved SDK package published as `anomalyarmor` on PyPI ### UI * Improved Homepage with freshness status cards and better health indicators * Improved Scrollbar visibility in dropdowns and tables with always-visible design * Improved Dark mode support by migrating native selects to Radix Select * Improved Badges list page with polished layout * Improved Schema changes filter and table picker UX ### UI * Added Contextual help system with in-app documentation links * Improved Freshness status display on homepage ### Alerts * Improved Alert pagination reset when highlighted alert is filtered out * Improved Slack message domain migration handling ### Billing * Improved Transaction type display in billing history ### Alerts * Added Rich Slack message formatting with Block Kit layouts * Added Slack OAuth integration with channel picker for alert destinations ### Assets * Added Databricks 3-level namespace support (catalog.schema.table) ### Intelligence * Improved Hidden field surfacing in schema intelligence results * Improved Compound table name classification (e.g., customer\_support\_tickets) ### Billing * Added Company transaction history to billing page * Improved Stripe payment info preservation during plan changes ### Alerts * Added Report Badges: Embeddable SVG status badges for dashboards and docs * Added Guided onboarding for alert rule creation * Improved Alert inbox and log tables with unified columns ### Team & Billing * Added Team Management: Invite users, manage roles, and seat-based billing ### SDK * Added SDK Extensions: Intelligence, Tags, Badges, and Alerts in Python SDK * Improved SDK with jobs status command and asset resolution ### Data Freshness * Added Freshness graphs with SLA lines, std dev bands, and sliding window ### Intelligence * Added Intelligence cost estimation before running analysis ### UI & Onboarding * Added Design System with Emerald theme and full dark mode support * Added Product tours and onboarding flows via Intercom ### Billing * Added Monthly API call limits to pricing page * Added Alert rule table usage tracking for billing badges * Improved API limits simplified to monthly + rate limit * Improved API limits display for enterprise plans ### Data Freshness * Improved Active schedule ordering in history lookup ### Tagging * Added Tags filter to Dashboard view * Improved Tag filter UX with consistent colors between filter and tree view * Improved Tag display names using title case formatting ### Alerts * Improved Filter-based alert rules to correctly pass asset ID ### Tagging * Added Unified LLM tag generation with bulk operations * Added Unified category filter UI across dashboard and tree views * Improved Tag distribution with per-category fallback and enhanced patterns ### Notifications * Added Email notification preferences ### Authentication * Improved Token refresh robustness for long-running jobs ### Alerts * Added Schema drift alerting integration * Added Alert grouping and digest support * Added Dynamic alert rules * Added Bulk alert rule generation * Added Optimistic updates and skeleton loading for alerts ### Billing * Improved Billing page for trial users * Improved Billing settings display and error handling ### Billing * Added Subscription paywall with friend allowlist system ### Tagging * Added Tag Classifications Dashboard backend infrastructure * Improved TagDrillDownModal performance with React Query caching and composite indexes ### Alerts * Added Tag and lineage-based alert rules ### Data Freshness * Improved Merged redundant tables into unified Freshness History * Improved Polling and schedule creation for freshness monitoring * Improved Reliability for tags, lineage, and freshness features ### Data Freshness * Added Real-time updates with Server-Sent Events * Improved Redesigned monitoring table for improved clarity * Improved Learning phase and timeline clarity * Improved Freshness monitoring reliability * Improved Freshness polling removal ### Performance * Added Redis caching for home page asset feature status ### Jobs * Improved Production stability: encryption, worker, and UI improvements ### Assets * Improved Handling of concurrent asset connection tests * Improved Job-based connection test response handling ### UI * Improved Memory management for component lifecycle ### Infrastructure * Improved Database initialization and migration to Atlas ### Authentication * Improved Production authentication reliability ### Intelligence * Improved UPSERT handling in intelligence workflow ### Assets * Added Scheduled connection tests for assets ### Schema * Improved Schema drift detection and database standardization ### Data Freshness * Improved AsyncSession usage in freshness API and providers ### Data Freshness * Added SLA Management UI with dual-mode freshness monitoring * Added Refresh button to trigger immediate freshness checks ### Alerts * Added Alert Rules System complete MVP implementation ### Assets * Improved Company ID validation and error handling ### Schema * Added Dual filter system for schema changes * Improved Schema changes UI reliability ### Alerts * Added Alert history API endpoint ### Intelligence * Added Intelligence Q\&A API endpoints ### Billing * Added Intelligence Q\&A usage and billing integration * Added Usage-based pricing with feature limits ### UI * Added Enterprise-Ready UX improvements * Improved Last Refresh metric and Setup Required warnings ### Security * Added Enhanced API security and input validation * Improved Connection security and validation ### Schema * Added Database-specific asset services ### Database * Improved Database connection management and CLI options ### Infrastructure * Improved Session lifecycle management ### API * Added API governance and testing infrastructure * Improved Complete API standardization ### Performance * Added DAL performance optimization ### UI * Improved Homepage data display * Improved Console error handling across multiple pages * Improved Navigation icons and PageLayout ### Performance * Added Redis caching backend migration * Improved Async decorator reliability and TTL handling ### Authentication * Added Complete Clerk-only authentication migration * Improved Clerk user validation to reject users without database records ### Database * Added Demo data cleanup and separation ### Infrastructure * Added Bulletproof production deployment architecture * Added Secure production deployment workflow * Added Secrets migration from GitHub to AWS SSM * Improved Mixed Content handling and nginx routing ### Jobs * Improved ECS container startup and job dependencies ### Database * Improved PostgreSQL function parsing in baseline migration ### Data Freshness * Added Freshness monitoring job workers and automation * Improved Freshness monitoring transformed from tree to data table ### Notifications * Added Complete email server implementation ### UI * Added Centralized job display configuration * Improved Email verification and asset management UX * Improved Email validation in integrations modal ### Authentication * Improved Visibility controls and multi-tenancy * Improved Authorization consistency across application ### Intelligence * Improved Intelligence Q\&A system reliability ### Tagging * Improved Tag generation for all categories instead of hardcoded subset * Improved System and business tag counts display ### UI * Improved Navigation styling consistency ### Integrations * Added Complete Slack and JIRA integration platform * Improved Credential decryption in JIRA integration ### API * Added User preferences API ### UI * Improved Bootstrap to shadcn/ui migration for broken pages ### UI * Added Demo pages with neutral-dominant color system ### Jobs * Added Complete unified job system migration * Added Jobs page overhaul with asset info and 3-button UI * Improved Intelligence jobs now visible on jobs page * Improved Job status tracking reliability * Improved Worker service and UI to eliminate duplicate jobs ### Security * Improved Billing security and validation ### Billing * Added Stripe webhook processing with database integration * Added Scheduled billing automation Phase 3 *** Changes older than 6 months have been archived.