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GraphFixture catches silent SQL data loss by generating DataHub-aware fixtures, verifying business contracts, and writing replayable proof back to the catalog.
Your catalog claims 513 connections. Nobody re-checks them. Probate does, per edge, with a date: 73 dead, 29 undeclared, and 145 it refuses to judge because it couldn't look.
A DataHub-native AI control plane that prevents unsafe agent data access and autonomously recovers broken data dependencies.
Is your catalog cleared for agent takeoff? Preflight scores every table, queues the fixes, and asks a human only what a human can know. Answer once, and the convention transfers everywhere.
One molecule can appear as a parent compound or different form. Apollo solves a hidden chemistry problem: derivative records are easy to merge and hard to verify.
Autonomous agents that fix broken data pipelines and quarantine compromised ML models by reading and writing back to the DataHub metadata graph via MCP.
Deterministic upstream lineage walk finds the true root cause in DataHub cited URNs, reproduction SQL, drafted fixes, 3/3 graded eval, and a structural human-approval gate before any write-back.
LineageGate intercepts GitHub PRs, analyzes SQL schema changes against DataHub lineage using Gemini AI, and alerts developers to breaking downstream impacts before merging to production.
Running DataHub applications learn, validate, retain, and replay missing behavior—without a source edit, redeploy, or repeated agent call.
Keep healthcare data in DataHub safe and well-described: an AI agent that discovers, audits, and enriches datasets with PII/quality/governance fixes.
Arbiter uses DataHub to allow, deny, or escalate data changes and AI agent actions then writes every verdict back so the next person or agent inherits why, not just what.
Closes the loop when someone breaks the data: files the DataHub incident on the assets that truly break, deprecates the column, and drafts each owner's migration — before the PR merges.
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