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Exa Search

Semantic web search — find tweets, research papers, and web content by meaning, not keywords.

Deploy with Exa Search

What is Exa Search?

Exa Search uses neural search to find content by meaning rather than keywords. Your bot can find the most relevant tweets, research papers, blog posts, and web content by describing what it's looking for in natural language. This makes research tasks dramatically more accurate than traditional keyword-based search.

Capabilities

  • Neural/semantic web search
  • Find tweets and social media content
  • Search research papers and academic content
  • Crawl and extract content from results
  • Filter by date, domain, and content type

What You Can Do

Deep research on complex topics
Find expert opinions and discussions
Track academic research in specific fields
Discover niche content that keyword search misses

How to Use Exa Search with OpenClaw

  1. Deploy your AI agent on OpenClaw Launch — pick your chat platform (Telegram, Discord, or Web UI) and click Deploy.
  2. Install Exa Search — go to your instance settings and add Exa Search as a tool. One click, no configuration needed.
  3. Start using it — just ask your bot. For example: “Deep research on complex topics”

Try Exa Search with your AI bot

Deploy an OpenClaw agent and install Exa Search in under a minute.

Get Started

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Exa Search is open source. View on GitHub →