Treblle

Integration is through lightweight SDK middleware (available for Node.js, Laravel, Django, Rails, and others) that captures request/response data and sends it to Treblle's platform. The API covers retrieving request history, error reports, endpoint analytics, and the auto-generated documentation. For agents analyzing API health or generating usage reports, the Treblle API provides structured access to the captured observability data.

Reliability is appropriate for an API observability service. Treblle processes captured request data asynchronously — the middleware captures and forwards data without blocking API response latency. Teams should verify that Treblle's data capture is GDPR-compliant for their API's data handling requirements, as request payloads may contain personal data.

Treblle is an API observability platform that captures real API traffic, generates automatic documentation from observed requests, and provides error tracking and performance monitoring. It sits in the sdk-tooling category as a complement to SDK generation tools — where Speakeasy and Stainless help teams produce good SDKs, Treblle helps teams understand how their API is actually being used. For agents operating API products, Treblle's observability surface provides data on unexpected request patterns, error rates, and documentation gaps revealed by real usage.

Authentication uses API keys for both the SDK integration and the management API. The SDK middleware key is included in the server-side configuration — it should be stored as a server-side secret. The management API key provides read access to captured request data and analytics, which may include sensitive request payload data depending on what the API handles.

Documentation covers the SDK integration for each supported framework clearly. The API reference for retrieving analytics and request history is adequate for building automated reporting workflows. Teams evaluating Treblle for API observability will find the zero-infrastructure-overhead integration model appealing compared to full observability stacks.