Mock Response Generator
Generate realistic mock HTTP responses with custom status codes and headers. Copy ready-to-use curl commands and code snippets.
Quick Test:
Use httpbin.org/status/
to test how your code handles this status code.
How to Use
-
1
Select a status code to mock
Choose the HTTP status code you want the mock response to return. Common choices include 200, 201, 400, 401, 403, 404, 422, 429, and 500 for testing different handling paths.
-
2
Customize headers and body
Set custom response headers such as Content-Type, Retry-After, or WWW-Authenticate and provide an optional JSON response body. The generator pre-fills RFC-compliant defaults for each status code.
-
3
Copy the mock endpoint URL
Use the generated endpoint URL in your application, test suite, or Postman collection to trigger the exact response scenario you need without setting up a real server.
About
Realistic mock HTTP responses are a foundational tool for building resilient API clients and testing error-handling code paths that rarely occur in happy-path development. Rather than requiring a full test server, a mock response generator lets you inject any status code, header combination, and response body into your integration tests, frontend application, or API client library with minimal setup.
The Mock Response Generator adheres strictly to RFC 9110 (HTTP Semantics) for response structure and RFC 9457 (Problem Details for HTTP APIs) for error body formatting. Each status code comes pre-populated with its RFC-mandated headers — 401 includes WWW-Authenticate, 405 includes Allow, 429 includes Retry-After, and 304 omits the body entirely as required. This means your generated mocks are not just syntactically valid but semantically correct, catching client bugs that loose mocking would miss.
Common workflows include testing retry logic against 503 with Retry-After headers, verifying that authentication flows correctly handle 401 WWW-Authenticate challenges, and ensuring pagination code handles 204 No Content gracefully. Teams using contract testing frameworks like Pact or consumer-driven contract testing can use the generated mock definitions as starting points, and CI pipelines can drive the mock endpoints to validate client behavior before any backend code is written.