Beeceptor vs Hoverfly

Beeceptor is a developer-focused API simulation platform for mocking services, virtualizing them, testing contracts, and simulating failures. It supports HTTP, HTTPS, HTTP/2, mTLS, REST/OpenAPI, SOAP, GraphQL, and gRPC. Users can build no-code mocks with request-matching rules and set response status codes, headers, and bodies. Uploading an OpenAPI specification can create a populated mock server with AI-generated data. Beeceptor can proxy requests to live backends, record traffic, and switch to mock behavior when a backend is unavailable. Latency, timeouts, and errors can be simulated to check client resilience. Its CLI exposes a localhost service through a public HTTPS URL and runs on Windows, macOS, and Linux. Management APIs support mock-server configuration, while MCP connectivity supports AI agents including Claude and Cursor. API Connections store OAuth credentials and generate tokens for outbound requests. Beeceptor says it is SOC 2 Type II audited, adheres to ISO 27001, and complies with GDPR; it also says data is encrypted in transit and at rest. The free plan has public endpoints, a 1 MB request payload limit, and cleanup rules for unclaimed endpoints.

Hoverfly Cloud is a hosted API simulation and mocking platform for testing without live API dependencies. It handles HTTP/S services including REST, SOAP, XML, JSON, and GraphQL. Users can capture and replay traffic, generate simulations from OpenAPI specifications, and match requests by methods, headers, parameters, and bodies. Simulations can delay responses, inject faults or errors, and modify replies. A command-line interface supports scripted configuration and testing pipelines. Hoverfly and hoverctl binaries run on macOS, Linux, and Windows, while documentation covers Docker and Kubernetes installation. The underlying Hoverfly framework is open source under Apache 2, has no GUI, and is generally run locally or in a user’s infrastructure. Cloud use cases include performance testing, functional testing, and development.