MIAPI

Freemium

MIAPI is a developer tool that gives you AI answers pulled from live web search. Every response comes with inline citations and source links. You get verifiable facts instead of hallucinated guesses.

It offers an OpenAI-compatible API. You swap the base URL and keep your existing code. The free tier gives you 500 queries monthly with credits that do not expire.

Pricing runs pay-as-you-go at $0.0025 per query. You can also pick a monthly plan. There is no subscription lock-in.

Open it if you need cited answers for production apps. Skip it if you need many AI models to pick from.

It fits when the job is specific and speed matters more than breadth.

• Developers with OpenAI stacks: You keep your /v1/chat/completions calls. You just change the base URL. Cited answers show up with no rewrite.
• Teams building chatbots that need current info: Answers come from live search. Your bot does not quote stale training data.
• Startups on tight API budgets: Pay per query scales from prototype to production. You do not commit to a plan.
• Teams building RAG pipelines: Raw search endpoints give you data to work with. You control how it gets used.
• AI assistant builders using MCP: Add the MCP server to Claude or Cursor. Your assistant searches the web with proper citations.
• Developers who want web search without custom tooling: Five exposed tools cover web answers, search, news, images, and usage checks.
• Users who need source citations for compliance: Inline citations with URLs satisfy audit requirements. You trace every answer back.

These are the parts you notice after wiring it up.

• OpenAI-compatible drop-in: You migrate in minutes. Your LangChain pipelines and Cursor integrations keep working.
• Inline citations with URLs: Trust improves when users can verify. You do not have to build source tracking yourself.
• Live web grounding: Answers reflect what is on the web now. You are not stuck with model cut-off dates.
• Free tier with non-expiring credits: 500 queries let you test for real. Your credits do not vanish at month end.
• MCP server integration: Claude Desktop, Cursor, and Windsurf connect directly. You get web search inside tools you already use.

The path is short.

1. Sign up and grab an API key from the dashboard.
2. Swap the base URL in your OpenAI-compatible client.
3. Call /v1/answer for cited responses, or /v1/search for raw results.
4. Pass a conversation_id if you want memory across turns.
5. Check the response headers for cache status and source links.

Skip it when the limits block your project.

• Limited AI model selection: You get one approach to answers. You cannot pick from many models for different tasks.
• Early-stage maturity: It is a solo project with little third-party validation. Documentation is sparse next to bigger players.
• No transparent enterprise terms: Pricing for high volume is unclear. You negotiate blind if you scale up.
• Web source dependency: Answer quality follows web source quality. Bad SEO content can pollute your results.