Catalog AI Agent

Coming soon

The Catalog Agent helps data analysts, business users, and AI tools find the right data on their own so engineers don’t have to be the bottleneck. By interpreting natural language questions and surfacing the right context—including data health, lineage, and metric definitions—it enables faster, more confident access to the data people need. The Catalog Agent lays the groundwork for more accurate and effective AI-powered workflows across your organization.

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Using the Catalog Agent

Open the Catalog Agent to start a conversation. Just ask a question like “Which table should I use to analyze user retention?” or “Can I trust the orders table?” and the agent will guide you to the right assets or insights. The agent will interpret your request using metadata, lineage, and semantic context, and suggest relevant datasets, tables, or metrics. It will also surface freshness, incident status, and test results, and explain how the data is used and whether it can be trusted.

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Key Capabilities

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Intelligent Discovery

Helps users find the right data using metadata (tags, descriptions, owners, lineage to understand dependencies and impact and semantic layers (coming soon) from dbt, BI tools, or external catalogs for metric-level context

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Trust and Quality Signals

For every asset, the agent provides real-time indicators of reliability:

• Freshness metrics
• Open incidents and recent test results
• A high-level trust signal based on metadata coverage and data health

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Who It’s For

The Catalog Agent is built for data analysts, business users, AI copilots, and intelligent applications that need to find and understand the right data without making the data team a bottleneck.