exa-search

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Semantic web search, similar page discovery, and content extraction via Exa AI API. Use when the user needs meaning-based search (not keyword matching), wants to find pages similar to a URL, or needs clean content extraction from web pages. Requires EXA_API_KEY environment variable.

joemccann By joemccann schedule Updated 3/22/2026

name: exa-search description: Semantic web search, similar page discovery, and content extraction via Exa AI API. Use when the user needs meaning-based search (not keyword matching), wants to find pages similar to a URL, or needs clean content extraction from web pages. Requires EXA_API_KEY environment variable.

Exa Search

Exa is a semantic search engine built for AI. Unlike keyword search, Exa finds content by meaning using neural embeddings. It also provides clean content extraction and similarity search.

Prerequisites

Set the EXA_API_KEY environment variable. Get a key at https://dashboard.exa.ai/api-keys

Available Tools

This package provides three tools:

exa_search

Semantic web search. Finds pages by meaning, not keywords.

Key parameters:

  • query — Natural language description of what you're looking for
  • typeauto (default), fast (sub-350ms), neural, deep (multi-step reasoning)
  • category — Filter: company, research paper, news, tweet, personal site, financial report
  • includeDomains / excludeDomains — Domain filtering
  • startPublishedDate / endPublishedDate — Date range (ISO 8601)
  • includeText — Get full page text
  • includeSummary — Get AI-generated summary
  • includeHighlights — Get relevant excerpts (default: true)
  • numResults — Result count (default: 10, max: 100)

exa_find_similar

Find pages semantically similar to a given URL. Good for competitor analysis, related content, and "more like this" discovery.

Key parameters:

  • url — The URL to find similar pages for
  • numResults, includeDomains, excludeDomains, date filters — Same as search
  • excludeText — Exclude results containing specific text

exa_get_contents

Extract clean, parsed content from one or more URLs. More reliable than raw scraping.

Key parameters:

  • urls — Array of URLs to extract
  • includeText — Full page text (default: true)
  • includeSummary — AI summary
  • includeHighlights — Key excerpts
  • maxTextCharacters — Max characters per page (default: 5000)

When to Use Each Tool

Goal Tool Tip
Find content about a topic exa_search Use category to narrow results
Research with reasoning exa_search with type: "deep" Best for complex questions
Quick lookup exa_search with type: "fast" Sub-350ms responses
Find competitors/alternatives exa_find_similar Pass the company's URL
Get page content cleanly exa_get_contents Batch multiple URLs
Find related articles exa_find_similar Pass the article URL

Examples

Search for research papers

exa_search("transformer architecture improvements 2024", {
  category: "research paper",
  numResults: 5,
  includeHighlights: true,
  includeSummary: true
})

Find companies similar to a competitor

exa_find_similar("https://stripe.com", {
  numResults: 10,
  includeSummary: true,
  category: "company"
})

Extract content from multiple pages

exa_get_contents({
  urls: ["https://example.com/article1", "https://example.com/article2"],
  includeText: true,
  maxTextCharacters: 3000
})
Install via CLI
npx skills add https://github.com/joemccann/pi-exa --skill exa-search
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