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Metaphor API

Freemium
apisearchllmaineural searchdeveloper toolsdata extractioninformation retrievalsemantic search

A search API specifically designed for Large Language Models, using a neural approach to find relevant, high-quality content on the internet by understanding natural language and predictive queries.

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Metaphor API provides a unique search infrastructure built to connect LLMs with the internet's most current and relevant content. Unlike traditional keyword-based search, Metaphor employs a neural model trained on high-quality human web recommendations to interpret search queries expressed in natural, predictive language. This makes it an ideal tool for developers building AI agents and applications that require reliable, autonomous access to external knowledge. By returning clean, structured content from diverse sources, the API empowers LLMs to perform complex research and overcome the limitations of their static training data. Its core value is enabling AI to find not just facts, but the right content, by understanding the semantic intent behind a query.

Pros

  • Unique neural search model that understands semantic intent beyond keywords.
  • Specifically designed for LLMs, with a '/contents' endpoint that returns clean, parsed HTML.
  • Supports complex, natural language queries, including finding content similar to a given link.
  • Offers a generous free tier with 1,000 API calls per month for development and testing.
  • Provides official client libraries for both Python and TypeScript, simplifying integration.

Cons

  • Usage-based pricing on the paid tier can become costly for high-volume applications.
  • As a newer platform, its web index may not be as comprehensive as giants like Google or Bing.
  • The quality of results is dependent on its proprietary model, which can be a 'black box' for developers.
  • Less effective for use cases that require simple, precise keyword matching rather than semantic understanding.

Key features

  • Neural search endpoint for finding links via natural language queries
  • Find similar content endpoint to discover pages like a provided URL
  • Contents endpoint to retrieve clean, parsed HTML content from any URL
  • Keyword search option for more traditional queries
  • Ability to filter search results by date and domain
  • Official Python and TypeScript/JavaScript client libraries
  • Returns structured JSON responses with titles, URLs, and unique IDs

Integrations

PythonTypeScriptJavaScriptLangChainLlamaIndexcURLZapier (via Webhooks)Make.com (Integromat)Various AI Agent Frameworks

Target audience

AI developers, researchers, and companies building applications on top of Large Language Models (LLMs), such as AI agents, copilots, and autonomous research tools.

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Founded

2021

Headquarters

San Francisco, USA

Pricing Tiers

Launch

Includes 1,000 API calls per month, access to all endpoints (/search, /findSimilar, /contents), and community support. Ideal for building and experimenting.

Free

Scale

Includes a $20 base monthly fee plus $3 per 1,000 API calls. Offers unlimited API calls, access to all endpoints, and dedicated support. Designed for production applications.

$20/mo + usage

Frequently Asked Questions

Top Alternatives to Metaphor API

Google Programmable Search Engine

Choose Google for its massive index and powerful keyword-matching capabilities, especially if your application relies on traditional search paradigms.

Bing Web Search API

A strong and often more cost-effective alternative for general-purpose web search, backed by Microsoft's comprehensive index.

Brave Search API

Consider Brave for its independent search index and focus on privacy, which can provide results outside the Google/Bing bubble.

You.com API

Another AI-native search API that provides conversational search and structured data, making it a direct competitor for building LLM-powered applications.

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