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Complete user guides for Data Generation, API Mocking, and MCP integration, organized for both developers and LLM-driven workflows.

Data Generation

Edit and Export

Refine generated data and export SQL, XML, JSON, or CSV.

Edit and Export

After an initial run, refine output and export in the format your workflow needs.

Edit Pass

Use edit mode to update mappings and regenerate data with improved realism.

Good Reasons To Re-Edit

  • Column values look too generic.
  • Relationship values require stricter behavior.
  • Edge-case coverage is missing.

Export Formats

  • SQL: INSERT-ready data for relational workflows.
  • JSON: application or fixture workflows.
  • CSV: spreadsheet and import tooling.
  • XML: integration and legacy system workflows.

Export Considerations

Hidden Columns

Hidden columns are excluded from output.

Format Selection

  • Use SQL for direct DB seed workflows.
  • Use JSON for API fixtures and app tests.
  • Use CSV for analyst-friendly validation.

Download Flow

Exports are generated and delivered through signed download links.

Repeatable Workflow

  1. Run generation.
  2. Review sample rows.
  3. Edit mappings.
  4. Regenerate.
  5. Export final data format.
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