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  • Retrieve detailed information about a specific dataset by its slug - Returns complete schema including all columns with data types - Includes ownership details and metadata - Example slugs: dex.trades, tokens.erc20, ethereum.transactions

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Use Cases

  • Schema Discovery: Retrieve the complete schema of a dataset including column names, data types, and nullability.
  • Table Exploration: Understand the structure of a dataset before writing queries against it.
  • Data Integration: Programmatically fetch table schemas for ETL pipelines and data integration tools.
  • Documentation Generation: Automatically generate documentation for datasets based on their schemas.
  • Validation: Verify dataset structure and columns before building queries or applications.