Build a Data Product with an AI Agent
PreviewIf your team builds data products as code (dbt, Databricks) with a coding agent like Claude Code, a Data Product Builder lets the agent generate both the pipeline and the metadata from a data contract — in your existing engineering workflow.
Before you start
- A Data Product Builder is configured for your organization (set up by Governance) and applies to your data product.
- You use a supported coding agent: Claude Code, OpenAI Codex, or GitHub Copilot CLI.
- You have an API key and the entropy-data CLI installed.
Steps
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Open your data product in Studio and go to the Builder tab.

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Copy the install command shown for your coding agent and run it to install the plugin.
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Connect the agent to Entropy Data with the entropy-data CLI using your API key.
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Ask the agent to implement the data product. It reads the linked data contracts, generates the pipeline, and runs
datacontract testto verify the data matches the schema and quality rules.
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The agent ships the change as a pull request. Review and merge it as usual; metadata syncs back to Entropy Data.