API implementations evolve constantly, but OpenAPI specifications often fall behind. Your developers keep adding endpoints, modify responses, or change payload structures, while the contract documentation stays outdated. This contract drift can break API clients, invalidate mocks, and cause confusion across development and QA teams.

Beeceptor continuously monitors your APIs to keep your contract accurate. After you upload an OpenAPI specification, Beeceptor records real API traffic and validates every request and response against the spec. When a mismatch appears, Beeceptor flags it as contract drift and shows the exact difference.

Beeceptor AI then generates a smart patch based on the observed traffic. Review it and apply the update to your OpenAPI spec with a single click.

Detection, patching, and commit happen in seconds, saving hours of manual contract maintenance.

Our OpenAPI-to-Mock capability already lets you go from an API specification to a live mock server in under a minute. You upload an OpenAPI spec and instantly see your API come to life with realistic, contextual responses. Instead of static placeholders, Beeceptor automatically generates meaningful test data - product names, people names, ages, street addresses, SSN/Aadhaar numbers, and more - using AI and 300+ built-in data generators. You get a mock API that looks and behaves much closer to a real production system.

Now we’re taking this a step further with custom response overrides.

While Beeceptor can automatically generate contextual responses, you can now override and customize any part of the generated response/field to match your exact testing needs. Want specific product names, controlled user profiles, or predictable IDs for integration tests? You’re in full control.

How: Switch to your endpoint settings and open Customize Test Data under the specification section.

No coding. No infrastructure. No deployments.
Just upload OpenAPI spec and start building.

If you run into syntax errors while building a dynamic response template for your mock rule, Fix with AI is here to help. Available directly from the error notification, it intelligently corrects the issue inline. Whether you’re working with JSON or XML, it focuses only on the relevant syntax errors, so you don’t have to spend time debugging formatting details.

You can stay focused, designing your mock APIs. It’s fast, context-aware, and built to save you time. Give it a try today![we think you’ll love how much smoother template editing becomes!

If you run into syntax errors while building a dynamic response template for your mock rule, Fix with AI is here to help. Available directly from the error notification, it intelligently corrects the issue inline. Whether you’re working with JSON or XML, it focuses only on the relevant syntax errors, so you don’t have to spend time debugging formatting details.

You can stay focused, designing your mock APIs. It’s fast, context-aware, and built to save you time. Give it a try today![we think you’ll love how much smoother template editing becomes!

Beeceptor introduces Agentic Mode with MCP (Model Context Protocol) support, bringing AI-driven control directly into your development workflow. Install the Beeceptor MCP tool in Cursor, Claude, Antigravity, or any MCP-compatible environment and let your AI assistant automatically interact and build mock behaviors.

You can now control your endpoints using simple natural language instructions directly from your working context. Create, update, and manage mock behaviors without switching tools or writing manual configurations.

With Agentic Mode, you can:

• Create and modify mock behaviors from plain text instructions.
• Record API traffic, inspect requests, and generate mocks instantly.
• Build full prototypes with working backends using CRUD APIs, stateful scenarios, and user journeys.
• Generate dynamic responses using Beeceptor’s template engine.
• Test OAuth flows and authentication scenarios.
• Host and work with API specifications.
• Apply bulk updates across mock rules with a single instruction

Beeceptor introduces Agentic Mode with MCP (Model Context Protocol) support, bringing AI-driven control directly into your development workflow. Install the Beeceptor MCP tool in Cursor, Claude, Antigravity, or any MCP-compatible environment and let your AI assistant automatically interact and build mock behaviors.

You can now control your endpoints using simple natural language instructions directly from your working context. Create, update, and manage mock behaviors without switching tools or writing manual configurations.

With Agentic Mode, you can:

• Create and modify mock behaviors from plain text instructions.
• Record API traffic, inspect requests, and generate mocks instantly.
• Build full prototypes with working backends using CRUD APIs, stateful scenarios, and user journeys.
• Generate dynamic responses using Beeceptor’s template engine.
• Test OAuth flows and authentication scenarios.
• Host and work with API specifications.
• Apply bulk updates across mock rules with a single instruction

Beeceptor now supports payments in Chinese Yuan (CNY), making it easier for customers to pay using their local currency.

Along with existing support for USD, INR, GBP, EUR, BRL, JPY, and AUD, Beeceptor now covers most major regions with localized payment options, helping you subscribe and manage billing more conveniently worldwide.

Customers in India can pay using UPI, while wire transfer / bank payments are available for annual plans. Beeceptor also supports PO-based order processing for organizations that require purchase order workflows.

When external/vendor APIs act unpredictably, go offline, or return unexpected errors, your test coverage takes a hit. Beeceptor now includes a built-in Forward Proxy that routes outbound HTTP(S) traffic, intercepts API calls, and gives you precise control over how upstream services behave during a test run. You can now observe real network traffic in flight, and build hebahiors without changing application code. You get full control over your test scenarios.

With Forward Proxy you can intercept specific API or HTTP calls, inspect request and response payloads, and create mock rules to simulate targeted scenarios such as failures, 500 errors, latency spikes, or custom responses. You can deliberately trigger edge cases and validate how your application performs under stress.

Beeceptor's Forward Proxy integrates seamlessly with existing mocking, rules engine, and traffic inspection capabilities.

Key use cases:

• Inspecting and logging outbound API calls during end-to-end test runs.
• Validating request structure before traffic reaches external systems.
• Selectively mocking specific third-party APIs while allowing others to pass through.
• Simulating upstream failures such as timeouts, 4xx, or 5xx responses.
• Injecting controlled test data into live integration flows.
• Reproducing production issues safely in lower environments.

Beeceptor now shows in real time who is actively editing a mock rule, so you always know what’s happening before making changes. If someone is working on a rule, now you can see it immediately, helping you avoid accidental overwrites and confusion. You can now confidently keep building and refining mocks without second guessing who’s editing what.

We’ve made it much easier to bring your 2FA codes into Beeceptor. You can now simply drag-n-drop or paste image files, or even scan a QR code directly using your device camera if your QA code is on another device, making the experience faster and more seamless for sandbox and test authentication.

You can also generate a persistent link to retrieve future codes whenever you need them, so you don’t have to repeat the setup every time.