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AI agents on DataHub’s context graph detect, diagnose, fix, and learn from data incidents — health for systems and health for humans.
Plan Smart. Travel Better. ⭐
When another team redefines a field, nothing errors — your models just quietly start returning wrong numbers. This agent reads DataHub on every PR and names whose assumptions break before merge.
Approval-first infrastructure planning grounded in governed metadata and durable decision memory.
An autonomous, MCP-powered DataHub agent that scans metadata graphs, flags governance risks, and auto-generates Git PRs with dbt, Airflow, and ML guardrails.
Safe, traceable analytics with DataHub MCP, deterministic planning, and local read-only synthetic SQLite.
ZephyrAQ turns Hanoi’s fragmented air-quality data into evidence-backed source investigations and human-approved actions, enabling faster responses to pollution.
An agent that assesses a schema change, writes the dbt fix, verifies its own fix, and won't write to DataHub unless it passes — then sweeps the whole catalog and ranks what's safe to change.
Blast Radius automatically analyzes DataHub lineage, fixes downstream schema changes, and opens ready-to-review pull requests.
AI agent that monitors DataHub lineage, ownership, and governance signals to detect metadata risks, orphaned assets, and documentation gaps before they become silent data failures.
Freshness and root-cause triage for self-hosted DataHub. Fires on state change, not thresholds, and writes every verdict back to the graph.
Evidence-first schema-change preflight that maps DataHub lineage, generates compatibility artifacts, and blocks unsafe migrations before merge.
A modern enterprise data catalog that helps engineers discover datasets, understand lineage, access documentation, and accelerate onboarding through guided learning experiences.
Verify agent releases from runtime evidence, not declarations.
Your closet as governed data in DataHub. An AI roasts your wear habits using only verified stats. No cap.
A lineage-aware firewall that stops poisoned DataHub context before AI agents trust it.
DataHub-native change assurance: complete blast radius, validated migration code, and evidence-backed go/no-go decisions.
DataHub grounds the plan; deterministic policy authorizes the exact work; receipts preserve the handoff.
DataHub provides trusted metadata, MCP connects the agent to that metadata, and AI turns that context into preventive change-risk decisions.
Synthia turns sparse DEV data into a governed, KPI-ready augmented synthetic dataset, shortening pre-production testing with DataHub, Agent Context Kit, Vertex AI, Python, and BigQuery.
AN AUTONOMOUS AI AGENT THAT ASSIST US
Memory that shows its edits. A DataHub agent that writes down only what changed, and supersedes a belief instead of overwriting it.
An air-gapped governance auditor for DataHub that finds where PII leaks through your lineage — and never sends a byte to the cloud.
Catch hidden data dependencies before they become production incidents. DataRipple reconciles DataHub lineage with observed runtime usage to detect schema-change blast radius before PRs merge.
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