AI-friendly mock platform

Prototype, share, and evolve APIs from one clean sandbox.

FakeAPI gives every client a dedicated namespace, a one-time token, versioned routes, and a serious admin workspace for building inline mocks or stateful record flows. It is built for product teams that want speed now and implementation-ready contracts later.

/{sandbox}/v1/* Versioned route model with namespace isolation
AI Export Fetch every endpoint, response, and flow hint in one call
POST https://fakeapi.vexlo.ca/api/auth/reserve { "namespace": "vexlo-demo" } 201 Created { "namespace": "vexlo-demo", "token": "copy-once-token", "baseMockUrl": "https://fakeapi.vexlo.ca/vexlo-demo" }
Runtime Example
POST https://fakeapi.vexlo.ca/vexlo-demo/v1/auth/login x-fakeapi-session: sess_9c4e { "email": "[email protected]", "password": "••••••" }

A better fake backend for real delivery pressure

This service is not just a response stubber. It is a structured API workspace with versioning, grouped management, request and response visibility, and export APIs that are friendly to both humans and AI systems.

01 Namespace

First-come reservation

Every client claims a sandbox root once. If it is free, they receive a token that becomes the lightweight credential for future login and management.

02 Versioning

Ship v1 and v2 together

Keep multiple API versions side by side so product, mobile, and backend teams can iterate without stepping on each other.

03 Stateful flows

Record mode with session memory

Move request sessions through states like START, OTP_SENT, and AUTHORIZED to simulate real user journeys instead of flat canned responses.

From reservation to runtime in four clean steps

The product flow is intentionally simple for end users, but rich enough to support serious mock API work inside the console and downstream agent workflows.

1

Reserve

Pick a namespace. If it is available, FakeAPI creates the sandbox and shows the token once.

2

Authenticate

Return later with namespace and token. You land directly in the admin workspace.

3

Drive requests

Send any request shape you want, include fakeresponse, and inspect what the namespace heard and returned.

4

Export for AI

Use export APIs to give the full contract to an LLM or to bootstrap the real backend implementation.

For teams

Console-first management

Inspect recent interactions, keep request and response structures visible in one place, and copy exact requests back out for reuse.

For agents

LLM-optimized exports

Ask for all endpoints, metadata, and mock behavior using one authenticated API call. This makes the service practical for scaffolding real services later.

Ready to build your namespace?

Use the console for signup and request-log inspection, then open the docs for copyable curl examples.