AI API testing that keeps your endpoints honest
AI API testing runs your REST endpoints with real auth, headers, and request bodies, then checks status codes, response schema, and data so a breaking change is caught before it reaches production.
- Frontend tests pass while a changed API contract quietly breaks a downstream client.
- Postman collections drift out of date and nobody runs them on every change.
- Auth, pagination, and error responses rarely get covered until something breaks.
Why API testing gets skipped
APIs change faster than the tests that cover them. Teams keep a Postman collection around, but running it by hand does not scale, so contract changes, broken pagination, and new error codes slip through until a customer or a client app hits them.
How BugBrain does AI API testing
Save a request once with its base URL, auth, headers, and body, and BugBrain reuses it exactly as configured. It checks status codes, response shape, and values, flags a changed contract, and files a verified issue with the request and response attached so a developer can reproduce it in seconds.
What you get
- Reuse a saved request with its auth, headers, and body as-is
- Assertions on status code, response schema, and values
- Breaking-change detection routed to Slack, Jira, or Linear
- Runs alongside your web and mobile coverage in one platform
Frequently asked questions
What is AI API testing?
AI API testing uses an agent to run your API requests, judge the responses against expected status codes and schema, and surface breaking changes automatically, instead of you maintaining and manually running a request collection.
Does BugBrain test authenticated APIs?
Yes. A saved request keeps its auth, headers, and body, so BugBrain can call authenticated endpoints. Point it at a staging environment with test credentials.
Can it test the API and the UI together?
Yes. API testing lives in the same platform as web, mobile, and load testing, so one run can cover the endpoint and the screens that depend on it.
See it on your own app
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