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

API Mocking

AI Endpoint Generation

Prompting AI endpoint generation and validating preview output.

AI Endpoint Generation

AI endpoint generation helps bootstrap mocks quickly from plain-language prompts.

What To Provide

Describe:

  • Domain (commerce, auth, billing, etc.)
  • Needed resources
  • Expected endpoint count
  • Important response states

Generation Flow

  1. Create or select a mock.
  2. Open AI generation flow.
  3. Submit endpoint prompt.
  4. Review generated preview.
  5. Accept and persist endpoint set.

Prompt Quality Tips

  • Ask for explicit methods and paths.
  • Request realistic status codes and error cases.
  • Include at least one negative path per core operation.

Validation Checklist

  • Paths are consistent and REST-like.
  • Required CRUD operations are present.
  • Status codes align with expected behavior.
  • Response bodies are coherent.

After Generation

  • Edit scenarios for your exact app behavior.
  • Add condition-specific responses.
  • Add delays for resilience testing.
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