API Virtualization Built for the AI-Native Enterprise
From OpenAPI-driven mocks to AI-assisted virtualization workflows, Beeceptor gives developers, QA, and platform teams a faster path from integration design to production readiness.
Manage your mock server from your IDE.
Beeceptor MCP lets your AI assistant run real actions on your mock server, so you can stay in flow without jumping to the dashboard.
This is AI actually operating your server, not generating config snippets to paste.
What your AI can do:
- Create and update rules from plain English
- Set up full flows like OAuth, CRUD, and failure scenarios
- Inspect request history and state data
- Configure CORS, security, and limits from prompts
Describe the API behavior. Deploy a working virtual service instantly.
Describe your API in plain English and Beeceptor generates production-like mock behavior instantly.
- Static mocks, CRUD APIs, and proxy callouts from one prompt
- Realistic fake data with 300+ intelligent generators
- Simulate failures, delays, retries, and weighted responses
- Add conditions using headers, JWTs, query params, or payload fields
- Review and refine generated rules before publishing
{
"id": -23423423423345,
"name": "dolore est",
"price": 3.24e+38,
"stock": -42370641,
"category": "in elit",
"created_at":
"1932-09-28T18:03Z"
}{
"id": 23,
"name": "Wireless Headphones",
"price": 638.69,
"stock": 478,
"category": "Electronics",
"created_at":
"2026-05-18T10:23Z"
}Spec → Live APIs in Seconds
Turn any OpenAPI, GraphQL, SOAP, or gRPC spec into a live mock API with realistic responses. No backend setup. No fake data scripts.
What makes Beeceptor different is AI-powered intelligent mocking. Instead of returning "string" or 0 everywhere, Beeceptor understands field names, types, and descriptions to generate responses that actually look real.
- Generate contextual API responses instantly
- Support for nested objects, enums, oneOf, maps, and streaming RPCs
- Edit or fine-tune generated fields directly from the UI
API Governance
Your API changed. We caught it.
AI will fix the spec for you.
Teams ship backend changes quickly, but specs are often updated later. Beeceptor spots those mismatches from live traffic and helps you patch the contract before clients break.
Upload your OpenAPI spec as the baseline
Set the source of truth that all live traffic will be validated against.
Beeceptor monitors every real request & response
In proxy or mock mode, traffic is continuously validated against the spec.
Drift events are flagged with full context
Exact mismatch type, path, field, and real traffic samples, grouped by frequency.
AI generates a minimal spec patch
A precise, structured diff for your review. Nothing is applied automatically.
Apply with one click
Beeceptor merges the patch, re-validates future traffic, and marks the drift as resolved.
Types of drift Beeceptor detects
Endpoint & Protocol
Request & Response Shape
Template broken? AI fixes it in one click.
Beeceptor templates are powerful, but one syntax error in JSON or XML can break a response.
Fix with AI sends the broken template and error context to AI. It fixes only the syntax issue, preserves your intent, and explains what changed.
What it fixes
Invalid helpers, malformed blocks, broken JSON/XML Handlebars syntax
What it preserves
Full response structure, correct parts of the template, intent of the mock
Don’t let missing APIs block engineering
Generate realistic mock APIs instantly and keep development moving in parallel. Test integrations, edge cases, and failures without relying on live services.