Automatically research and document APIs for your dev team

It searches the web for API documentation, extracts the details, and builds a ready-to-use schema file for your team.

How the work actually flows

It repeats. Repeats next pending service picked.

Pattern: Structured Loop (21)

flowchart TD trig(["runs on a schedule"]):::trigtime s0[("pick pending service from sheet")]:::store s1["search web for documentation"]:::svc s2["AI extracts api operations"]:::task s3["group operations into schema"]:::task s4[("save schema and update sheet")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 lp{"no pending services left"}:::gate s4 --> lp lp -. "next pending service picked" .-> s0 lp -->|"finished"| out out[/"api schema documented"/]:::out pay{{"faster dev onboarding"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetRepeat or finishResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsWeb Scraping & Data CollectionFile & Cloud Storage
Connects
Google SheetsGoogle DriveApifyQdrantGoogle Gemini

The problem it solves

Your developers waste hours hunting for API documentation across scattered websites, then manually piecing together how each service works. Keeping track of which APIs have been researched, extracted, and documented becomes its own project. You need a reliable way to build a library of API knowledge without pulling engineers off real work.

Who it fits

Software development teams and technical leads who need to catalog and document multiple third-party APIs.

How it works

  1. A pending service is picked up from a tracking sheet
  2. The system searches the web and pulls in matching documentation pages
  3. An AI reads the pages to identify the product's API operations
  4. The operations are grouped into a single schema file
  5. The finished schema is saved to a shared drive and the sheet is updated
What you get

API schemas ready for a developer to check

Your team gets a first draft of an API schema pulled together from public documentation for each new service you track.

What you get

A structured, ready-to-use API schema file plus an up-to-date tracking sheet showing what's been researched, extracted, and documented.

What you need

A Google Workspace account, an Apify account, a Qdrant vector database, and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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