Prompt

I'm building a frontend app and need mock APIs for development, what should I use?

Technology / Testing & QA1 observationLast seen Oct 6, 2026

Latest observation

Oct 6, 2026OpenAI APIWeb search: off

For frontend development, the best choice depends on how “real” you want the API to feel and whether you need persistence.

Good options

1. MSW (Mock Service Worker)

  • Best if you want to mock network requests in your frontend app itself.
  • Intercepts fetch/XHR at the browser level.
  • Great for development and testing.
  • Lets you keep your app code calling real API endpoints.

Use this if: you want realistic integration without changing app code much.


2. JSON Server

  • Turns a db.json file into a quick REST API.
  • Super easy to start.
  • Supports basic CRUD out of the box.
  • Good for prototypes and demos.

Use this if: you want a fast fake backend with simple REST endpoints.


3. Mirage JS

  • Built specifically for frontend mocking.
  • Can simulate routes, delays, and complex scenarios.
  • Useful for SPAs and offline-like workflows.

Use this if: you want more control than JSON Server and don’t mind a bit more setup.


4. Mockoon

  • Desktop app for creating mock APIs visually.
  • Good for teams and quick endpoint setup.
  • Can export environments or run locally.

Use this if: you prefer a GUI over code.


5. Postman Mock Server

  • Handy if you already use Postman collections.
  • Easy for shared mocked endpoints.
  • Less ideal for highly dynamic behavior.

Use this if: your team already uses Postman heavily.


My recommendation

  • For most frontend apps: MSW
  • For quick CRUD demos: JSON Server
  • For more complex behavior: Mirage JS
  • For non-coders / team-friendly setup: Mockoon

If you want, I can suggest the best one based on your stack (React/Vue/Angular/Next.js) and whether you need persistent data, auth simulation, or pagination.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.