DEVELOPERS

Build on clearer output.

Developer documentation for the sample reports: readable JSON, a shared schema, and practical integration examples.

Start with the contract, not the credentials.

The developer resources show how to consume AnalyzeAPI.com’s bundled sample reports. They are ordinary public JSON files, not authenticated API endpoints. You can inspect them in a browser, download them, or fetch them from the same origin after hosting this site.

Build your parser and interface against a known fixture first. When you connect a real analysis provider, keep its collection logic, authentication, and limits separate from the interface that displays the resulting evidence.

What is included

Eight sample reports share a documented schema. Each report has a sample marker, an analysis type, a target, a completion state, a summary, and evidence-linked findings. The not_measured field makes the boundaries explicit.

What a production integration adds

A real implementation needs an authorized data source, a collection method, a task-specific analysis, and operational error handling. A website workflow may need a crawler; an LLM evaluation may need model access and a reviewed dataset. Those services are not silently substituted by the examples here.

Keep private credentials on an appropriate server-side boundary. Do not add a secret key to this site’s public JavaScript. Validate returned data before using it to drive an automated decision.

See practical integration patterns

Make your next move
a clearer one.

Explore the workflows. Inspect the evidence. Build something useful.