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Documentation Index

Fetch the complete documentation index at: https://docs.datachecks.io/llms.txt

Use this file to discover all available pages before exploring further.

Datachecks is built around four AI agents, each responsible for a distinct phase of the data migration lifecycle. The agents are powered by LangGraph workflows and run as background jobs you can monitor in real time.

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The four agents

Asset Discovery

Ask natural language questions about your data schemas, tables, columns, and relationships. The agent queries your registered assets and generates SQL on demand.

Migration Assessment

Analyze stored procedures, views, and translation complexity in your source database. Get a structured readiness report before committing to a migration.

Data Validation

Describe what you want to validate in plain language. The agent extracts the target table and validation type and configures the validation for you.

Translation

Translate SQL queries from your source database dialect to the target platform. The agent classifies each query, translates it, and verifies correctness by running a comparison.

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How agents fit into the migration workflow

The agents are designed to work sequentially, but you can run them independently: 
Asset Discovery
      ↓
  Understand what you have
      ↓
Migration Assessment
      ↓
  Know what will be complex
      ↓
Translation
      ↓
  Convert SQL logic to target dialect
      ↓
Data Validation
      ↓
  Confirm data integrity after migration

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Where to find agents

Navigate to the Agents tab in the left sidebar to access the agent interface. Each agent run is tracked as a job — go to Jobs to monitor progress and view results.