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MIAPI

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MIAPI is a developer API that delivers web-grounded AI answers with inline citations and source links, compatible with the OpenAI API format.

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Inputs: textOutputs: text
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About MIAPI

MIAPI is a developer API that delivers web-grounded AI answers with inline citations and source links, designed as a drop-in replacement for OpenAI's chat completions endpoint. By integrating real-time web search, each response includes citation markers (e.g., [1][2]) that link to verifiable sources, aiming to reduce hallucinations and provide trustworthy information. The API offers multiple modes beyond basic question answering, including a Knowledge Mode for RAG (retrieval-augmented generation) with custom documents, a Search-Only Mode for raw search results without LLM processing, dedicated News and Image Search endpoints, and streaming support via Server-Sent Events. Built for developers, it claims an average response time of ~1.1 seconds and supports over ten endpoints.

Key Features

Web-grounded answers with real-time search and inline citations
OpenAI-compatible drop-in replacement (change base_url)
Knowledge Mode for answer retrieval from user-provided documents plus web search
Streaming support via Server-Sent Events for real-time output
Search-Only Mode returning raw search results for custom pipelines (LangChain, RAG)
Dedicated News Search endpoint with article dates, sources, and snippets
Image Search endpoint returning image URLs, thumbnails, dimensions, and source links
Claims accuracy rates and cost efficiency (e.g., '98% accuracy', 'as low as $0.0025/query')

Pros & Cons

Pros
  • Low per-query cost appears to be competitive (pricing claims $0.0025/query; exact rates should be verified)
  • OpenAI API compatibility simplifies integration for developers already using that format
  • Web grounding with inline citations helps reduce hallucination risk and improves trustworthiness
  • Multiple specialized endpoints (news, images, search-only) offer flexibility beyond basic Q&A
  • Supports streaming for interactive user experiences
Cons
  • Free tier is not mentioned; usage-based pricing may be costly for high-volume applications
  • Output quality depends on the underlying web search results and may vary by query
  • Requires internet access and an API key, limiting offline use
  • Limited to text-based inputs and outputs (no support for image generation or audio processing)
  • Accuracy claims (e.g., '98% accuracy') are self-reported and should be verified in practice

Best For

Building customer support chatbots that need verifiable, source-backed answersDeveloping research assistant tools that pull real-time information from the webCreating content verification systems that cite original sourcesEnhancing RAG pipelines by combining custom documents with live search resultsPowering news aggregation or monitoring applications with the dedicated news endpoint

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FAQ

How does MIAPI compare to Perplexity's API?
The MIAPI website claims it beats Perplexity at 60% less cost, but this claim should be verified through independent testing and current pricing comparisons.
Is MIAPI compatible with existing OpenAI code?
Yes, MIAPI is designed as a drop-in replacement for OpenAI's chat completions. You only need to change the base URL to https://api.miapi.uk/v1 to use your existing OpenAI client code.
What endpoints does MIAPI offer?
Based on the website, MIAPI offers at least ten endpoints, including grounded answer (/v1/answer), chat completions (/v1/chat/completions), search-only, news search, image search, and knowledge mode. The full list should be checked in the documentation.
Is there a free trial or free tier available?
The website does not explicitly mention a free tier. Pricing appears to be usage-based starting at $0.0025 per query, but the exact pricing model and availability of a free trial should be confirmed with MIAPI directly.
Can I use MIAPI with my own documents?
Yes, MIAPI offers a Knowledge Mode that allows you to pass your own documents for RAG-style answering, combining custom data with optional web search.
Does MIAPI support streaming responses?
Yes, MIAPI supports real-time streaming via Server-Sent Events, enabling responses to appear as they are generated.