Changelog

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AI Agent

• Improved the Data Reliability Crew so each member’s request now reads as a plain-language question in the transcript. On the agent page and in the public How it works demo alike, you can see at a glance what a crew member is asking of your warehouse.
• Improved the How it works demo so each crew member gets its own page title, making a shared or bookmarked link say which member it opens.

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Schema Monitoring

• Improved schema drift detection to catch column-level changes, including a column’s data type, whether it allows nulls, and its default value, in addition to added and removed columns and tables.
• Added an alert routing summary to the Automatic Monitoring panel, so you can see exactly where an asset’s schema-change alerts go, or that no destination is set yet, and attach a destination right there without leaving the page.

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Alerts

• Added a searchable timezone picker to operating schedules, defaulted to your local timezone, so setting quiet hours no longer means typing an IANA identifier from memory.
• Improved the operating schedules and blackout windows list so your saved entries show up clearly and consistently.

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Integrations

• Added multi-workspace Slack support, so you can connect more than one Slack workspace to a single company and route alerts to any of them.
• Improved connecting PostgreSQL, MySQL, and Redshift data sources over SSL: require, verify-ca, and verify-full modes are fully supported, and you can now attach a CA certificate to validate servers that use a private or Amazon RDS certificate authority.

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Alerts

• Improved alert destination pickers to show the owning Slack workspace, for example AnomalyArmor / #database-changes, so channels stay clear when you have multiple workspaces connected.
• Improved the alert rule form to let you target a specific asset directly, making it obvious exactly what each rule watches.

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Security

• Added a Security page under Settings with a static outbound IP address you can add to your database allowlist for AnomalyArmor connections.

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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.

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Assets

• Improved discovery and alert loading on large warehouses by batching column lookups, turning hundreds of queries into one for faster page loads.

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Intelligence

• Improved intelligence analysis so a run is marked complete only when the full analysis succeeds, giving you results you can trust.

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AI Agent

• Added a public 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.

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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.

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Onboarding

• Improved signup to use your work email, keeping each workspace tied to your organization. Existing accounts are unaffected.

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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.

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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.
• 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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AI Agent

• Added five new MCP tools so agents can validate, plan, apply, pull, and diff data contracts directly.

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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.

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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.

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Security

• Improved scope requirements on 25 public write endpoints for tighter API safety.

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SDK

• Added the @anomalyarmor/sdk TypeScript SDK, with a companion developer guide on docs.anomalyarmor.ai for building agents and integrations against the platform.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Alert Rules

• Snoozed alerts can now be re-snoozed.

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Analytics

• The campaign filter chip is now dismissible so you can clear it without reloading.

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Data Quality

• Schema change review stats update instantly when toggling review status, no page refresh needed.

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AI Agent

• Improved ability for AI to configure and manage schema drift monitoring.

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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.

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Incidents

• Redesigned the bulk action bar as a floating bottom bar for a cleaner, more consistent experience across pages.

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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.

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Tags

• Redesigned the tags page with inline editing, keyboard navigation, and collapsible tag groups

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Alert Rules

• Added bulk edit buttons for enabling, disabling, and deleting multiple alert rules at once

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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

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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

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Intelligence

• Added analyze wizard dialog with toggleable context domains for customizing AI analysis
• Added configurable sample size controls for LLM analysis in admin settings

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Monitoring

• Added monitoring pipeline completeness tracking across all monitor types
• Aligned column naming across all monitor tables for a consistent experience

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Charts

• Migrated all charts to a new high-performance rendering engine for smoother interactions

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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

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Custom SQL Monitors

• Added custom SQL monitors for defining your own data quality checks with arbitrary queries

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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

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Homepage

• Added daily AI briefing card summarizing your data health each morning

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Onboarding

• Added welcome dialog for magic link users with guided first steps

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SDK

• Added CoverageResource for programmatic access to coverage tiers and recommendations

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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

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MCP Server

• Added Slack destination management tools for alert routing via MCP

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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

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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

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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

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UI

• Improved light mode text readability

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SDK

• Bumped SDK version to 0.4.0
• Fixed UUID/int type mismatch in freshness schedule endpoints

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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

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Connections

• Added 3-step connection wizard for adding and editing data sources
• Added support for all 9 database types in the connection wizard

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Intelligence

• Added full-screen chat overlay with scope tree for deeper data exploration
• Improved anomaly deduplication in technical discoveries

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Email

• Added 1-click unsubscribe

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Tags

• Added Reset Tags button for quick bulk tag management

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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

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Contextual Help

• Added help banners to 12+ pages with links to relevant documentation
• Added configurable help levels (none, light, heavy) in user preferences

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Authentication

• Added magic link authentication for streamlined prospect onboarding

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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

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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

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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

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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

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Emails

• Added one-click unsubscribe to all operational emails

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Onboarding

• Improved walkthrough chapters with better step tracking across alerts, intelligence, and data quality
• Improved intelligence chapter with interactive typewriter Q&A demonstration

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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

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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

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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

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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

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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

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Billing

• Added Strategic AI feature gating with plan-based access to intelligence features

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Reliability

• Improved briefing endpoint error handling with standardized error responses

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Row Count Monitoring

• Improved monitor creation flow with fixed form validation and API compatibility
• Improved dropdown scrolling and documentation for row count configuration

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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

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Documentation

• Added in-app doc links integrated with Help & Guidance system on data quality sections
• Improved 20+ diagrams and redesigned concepts overview chart

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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

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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

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Documentation

• Added AI contextual menu integration for ChatGPT, Claude, and popular IDEs
• Added 65+ visual diagrams across all documentation pages

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Settings

• Added instant-save email notification toggles for faster preference updates

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UI

• Renamed “Completeness” to “Row Count Monitoring” for clearer terminology
• Improved frontend reliability and error recovery

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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

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Assets

• Added Schema baseline and monitoring configuration endpoints
• Added Asset creation and management APIs
• Added Freshness schedule CRUD operations

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Billing

• Improved Data Quality billing status to include row count schedules

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SDK

• Added Python SDK methods for AI skills, dry-run previews, and recommendations
• Improved SDK published to PyPI version 0.2.0

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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

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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

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Authentication

• Improved User auto-creation reliability with enhanced error handling and retry logic

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Documentation

• Added Phase 2.1 Core Concepts diagrams with 13 detailed visual guides

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UI

• Improved Asset page load reliability and consistency
• Improved Schema changes health indicators for maintenance vs unhealthy states

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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

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Assets

• Added SSH tunnel support for secure database connections
• Added BigQuery and Athena interfaces

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Integrations

• Added Linear notification provider
• Added GitLab client for version control integration
• Improved Lifecycle management for destination configuration

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Billing

• Added Campaign tracking fields for trial codes
• Improved Trial code handling with email and promo code pre-fill from URL parameters

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Authentication

• Added Unified sign-in and sign-up interface with tabbed layout
• Improved the onboarding process for new users with trial codes

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API

• Added Batch API infrastructure to prevent rate limiting
• Improved Rate limit handling with N+1 request prevention

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UI

• Added Cookie consent and floating button visibility toggles in settings

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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

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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

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Settings Pages

• Improved Profile, Company, Billing, Assets, API Keys, Integrations, and Users settings pages with consistent design
• Improved Notification toggle auto-save reliability

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Assets

• Added AWS Athena database adapter support
• Improved Asset overview page with health status visibility
• Improved Metric detail page with better data visualization

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SDK & CLI

• Added SDK and CLI interfaces for data quality metrics management
• Improved SDK package published as anomalyarmor on PyPI

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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

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UI

• Added Contextual help system with in-app documentation links
• Improved Freshness status display on homepage

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Alerts

• Improved Alert pagination reset when highlighted alert is filtered out
• Improved Slack message domain migration handling

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Billing

• Improved Transaction type display in billing history

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Alerts

• Added Rich Slack message formatting with Block Kit layouts
• Added Slack OAuth integration with channel picker for alert destinations

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Assets

• Added Databricks 3-level namespace support (catalog.schema.table)

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Intelligence

• Improved Hidden field surfacing in schema intelligence results
• Improved Compound table name classification (e.g., customer_support_tickets)

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Billing

• Added Company transaction history to billing page
• Improved Stripe payment info preservation during plan changes

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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

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Team & Billing

• Added Team Management: Invite users, manage roles, and seat-based billing

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SDK

• Added SDK Extensions: Intelligence, Tags, Badges, and Alerts in Python SDK
• Improved SDK with jobs status command and asset resolution

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Data Freshness

• Added Freshness graphs with SLA lines, std dev bands, and sliding window

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Intelligence

• Added Intelligence cost estimation before running analysis

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UI & Onboarding

• Added Design System with Emerald theme and full dark mode support
• Added Product tours and onboarding flows via Intercom

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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

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Data Freshness

• Improved Active schedule ordering in history lookup

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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

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Alerts

• Improved Filter-based alert rules to correctly pass asset ID

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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

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Notifications

• Added Email notification preferences

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Authentication

• Improved Token refresh robustness for long-running jobs

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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

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Billing

• Improved Billing page for trial users
• Improved Billing settings display and error handling

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Billing

• Added Subscription paywall with friend allowlist system

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Tagging

• Added Tag Classifications Dashboard backend infrastructure
• Improved TagDrillDownModal performance with React Query caching and composite indexes

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Alerts

• Added Tag and lineage-based alert rules

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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

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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

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Performance

• Added Redis caching for home page asset feature status

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Jobs

• Improved Production stability: encryption, worker, and UI improvements

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Assets

• Improved Handling of concurrent asset connection tests
• Improved Job-based connection test response handling

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UI

• Improved Memory management for component lifecycle

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Infrastructure

• Improved Database initialization and migration to Atlas

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Authentication

• Improved Production authentication reliability

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Intelligence

• Improved UPSERT handling in intelligence workflow

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Assets

• Added Scheduled connection tests for assets

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Schema

• Improved Schema drift detection and database standardization

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Data Freshness

• Improved AsyncSession usage in freshness API and providers

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Data Freshness

• Added SLA Management UI with dual-mode freshness monitoring
• Added Refresh button to trigger immediate freshness checks

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Alerts

• Added Alert Rules System complete MVP implementation

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Assets

• Improved Company ID validation and error handling

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Schema

• Added Dual filter system for schema changes
• Improved Schema changes UI reliability

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Alerts

• Added Alert history API endpoint

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Intelligence

• Added Intelligence Q&A API endpoints

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Billing

• Added Intelligence Q&A usage and billing integration
• Added Usage-based pricing with feature limits

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UI

• Added Enterprise-Ready UX improvements
• Improved Last Refresh metric and Setup Required warnings

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Security

• Added Enhanced API security and input validation
• Improved Connection security and validation

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Schema

• Added Database-specific asset services

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Database

• Improved Database connection management and CLI options

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Infrastructure

• Improved Session lifecycle management

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API

• Added API governance and testing infrastructure
• Improved Complete API standardization

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Performance

• Added DAL performance optimization

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UI

• Improved Homepage data display
• Improved Console error handling across multiple pages
• Improved Navigation icons and PageLayout

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Performance

• Added Redis caching backend migration
• Improved Async decorator reliability and TTL handling

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Authentication

• Added Complete Clerk-only authentication migration
• Improved Clerk user validation to reject users without database records

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Database

• Added Demo data cleanup and separation

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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

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Jobs

• Improved ECS container startup and job dependencies

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Database

• Improved PostgreSQL function parsing in baseline migration

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Data Freshness

• Added Freshness monitoring job workers and automation
• Improved Freshness monitoring transformed from tree to data table

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Notifications

• Added Complete email server implementation

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UI

• Added Centralized job display configuration
• Improved Email verification and asset management UX
• Improved Email validation in integrations modal

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Authentication

• Improved Visibility controls and multi-tenancy
• Improved Authorization consistency across application

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Intelligence

• Improved Intelligence Q&A system reliability

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Tagging

• Improved Tag generation for all categories instead of hardcoded subset
• Improved System and business tag counts display

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UI

• Improved Navigation styling consistency

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Integrations

• Added Complete Slack and JIRA integration platform
• Improved Credential decryption in JIRA integration

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API

• Added User preferences API

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UI

• Improved Bootstrap to shadcn/ui migration for broken pages

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UI

• Added Demo pages with neutral-dominant color system

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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

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Security

• Improved Billing security and validation

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Billing

• Added Stripe webhook processing with database integration
• Added Scheduled billing automation Phase 3