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Developer Tools

API Response Mock Generator

Generate realistic API mock responses instantly. Define schema or examples, get valid JSON, error cases, and ready-to-use curl/fetch/axios code. Perfect for frontend development, testing, and documentation.

Quick presets
Response Schema (edit live)
Live Mock Response
{
  "id": "00000000-0000-4000-8000-000000000000",
  "name": "Taylor Johnson",
  "email": "casey.330@example.com",
  "age": 18,
  "city": "Berlin",
  "active": false,
  "createdAt": "2024-10-19T19:07:33.518Z"
}
Copy-paste ready snippets
curl
curl -X GET "https://api.example.com/users" \
  -H "Accept: application/json" \
  -H "Content-Type: application/json"
fetch
const res = await fetch("https://api.example.com/users", {
  method: "GET",
  headers: { "Content-Type": "application/json" }
});
const data = await res.json();
console.log(data);
axios
const { data } = await axios.get("https://api.example.com/users");
console.log(data);
python
import requests
r = requests.get("https://api.example.com/users")
print(r.json())
node
const res = await fetch("https://api.example.com/users");
const json = await res.json();
console.dir(json);

Everything runs locally in your browser. Use the seed for stable test data across runs.

Why Mock APIs Matter

Building the frontend against a real backend is slow and brittle during early development. A good mock generator lets you iterate fast, test error states, and validate UI against realistic data shapes without waiting for the backend team or spinning up services. It also helps document expected contracts early and enables parallel work between frontend and backend teams.

Scenarios Covered

  • Simple resource objects (users, products, orders)
  • Nested structures and arrays of objects
  • Paginated responses with metadata
  • Client and server error bodies with custom status codes
  • Reproducible data via seed for tests and demos

Best Practices

  • Start with the contract (schema) before any code.
  • Use the generated snippets directly in your components or MSW handlers.
  • Test both happy paths and error responses early.
  • Seed the random data when writing deterministic tests or Storybook stories.

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