- Automatically discover and update data lineage across your stack
- Visualize upstream/downstream dependencies in real time
- Track asset-level, column-level, and process-level lineage
- Highlight impact radius before any schema, logic, or data change
The Data Lineage Agent maps and monitors your data flows—autonomously. It traces upstream sources, downstream impact, and hidden dependencies, giving every other agent and stakeholder the context needed to take smarter action.
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Where every decision is powered by reliable, self-healing data.
Turn your metadata into a reasoning engine.
Powered by the xLake Reasoning Engine, the Lineage Agent continuously synchronizes metadata and behavior across data systems
The Data Lineage Agent is part of a multi-agent system—working alongside other specialized agents to share context, coordinate actions, and resolve issues faster. This agent-to-agent collaboration drives smarter decisions and scalable data governance.
Continuously monitors, detects, and remediates data quality issues, ensuring AI-ready data.
Analyzes datasets to surface distributions, anomalies, and structural insights, strengthening quality and governance.
Monitors pipeline execution in real time to detect failures, optimize performance, and maintain pipeline reliability.
Most lineage maps are static. This agent maintains a living, real-time view and fuels intelligent actions across ADM.
Yes. Choose which systems, schemas, or transformations to monitor. Agents can adapt based on platform and policy.
Absolutely. Lineage logs include who made changes, what changed, and which downstream assets were impacted.
It provides context to Data Quality, Compliance, and Cost agents—enabling proactive fixes and policy enforcement.
Yes. The Business Notebook simplifies complex flows into plain-language summaries and explorable visuals.
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