API Documentation Generator — InsightWorker Use Case

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Code & Repo Hygiene

Backend teams, platform teams, and engineers who need accurate API docs from source code

FastAPIFlaskMarkdownWordstatic analysis

The problem

API docs drift quickly — code changes, endpoints move, request/response models evolve, and documentation becomes stale.
Teams waste time doing “doc archaeology” when integrating with services — reading route files and guessing payloads.
Even when docstrings exist, they aren’t structured into a consistent endpoint reference.
Manual doc writing is expensive — the work is repetitive and easy to forget during releases.

How InsightWorker handles it

Ingest inputs — API title/version/base URL + repo URL (clone) or pasted code snippet. git clone · input validation

Scan & extract routes — detect FastAPI/Flask decorators and collect methods/paths and docstrings. route extraction · framework detection

Parse models & schemas — extract Pydantic BaseModel / dataclass field definitions (optional). type hints · request/response models

Generate API reference — endpoint-by-endpoint documentation (params, body, response, examples). structured markdown generation

Export artifacts — Word doc + Markdown file saved to the run folder; optional email delivery. doc export · downloads

Sample prompt

"Scan this FastAPI repo and generate a full API reference in Markdown and Word. Include endpoints, request/response models, and descriptions inferred from docstrings and type hints."

Deliverables: inputs_summary.md · routes_discovered.md · models_reference.md · api_reference.md · api_reference.docx · (optional email status)

Screenshots

Provide repo URL or paste code, choose framework, and set API metadata.

Scan the codebase and extract routes, methods, and docstrings.

Optional extraction of Pydantic/dataclass models into a reference appendix.

Structured endpoint reference with parameters, request/response, and descriptions.

Exported Word + Markdown artifacts ready for sharing.

Key Capabilities

Framework-aware scanning: FastAPI and Flask route detection plus a generic fallback mode.
No execution: static analysis only — safe for unknown repos.
Model reference: optional Pydantic/dataclass schema appendix with field types and defaults.
Docstring fallback: if docstrings are missing, descriptions are inferred from function and parameter names.
Word + Markdown export: one workflow run produces both formats for different audiences.

Prefer the browser?

Run this in InsightStudio — no CLI install for the user.

Authors publish the app once with iw app publish; business users open it in the marketplace and click Run. Your worker box does the execution.

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Generate API docs from source code

Keep docs current by generating structured reference pages directly from routes and models.

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