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Exa

Exa is an AI-powered search API and web crawler designed for developers building AI agents, RAG applications, and cha...

Updated Jun 2026· 80/100
research#write-code#answer-questions#search-the-web#write-content
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About Exa

Exa is an AI-powered search API and web crawler designed for developers building AI agents, RAG applications, and chatbots. It provides neural search capabilities with semantic query understanding, real-time indexing, and configurable latency from 180ms to 1 second. The service offers a free tier with 1,000 requests per month.

Exa is a search API and web crawling platform built specifically for developers integrating search into AI applications. The service uses neural search technology to deliver semantic query understanding and real-time web indexing, positioning itself as an alternative to traditional search engines for AI agents and LLM-powered products. Exa powers search functionality for tools like Cursor, Cognition, HubSpot, and over 400,000 developers. The platform offers multiple products including Search, Contents, Deep, Agent, and Monitors APIs, with configurable latency options and support for various use cases from coding agents to news monitoring.

Pros & cons

Pros

  • Free tier provides 1,000 requests per month, allowing developers to test and prototype without upfront costs
  • Configurable latency options (180ms to 1 second) let developers balance speed versus result quality based on their application needs
  • Neural search with semantic query understanding delivers more contextually relevant results than keyword-based search, particularly for AI applications
  • Powers search for major platforms like Cursor, Cognition, and HubSpot, demonstrating production-grade reliability

Cons

  • Some users report unresponsive customer support, with one reviewer mentioning 7 unanswered emails across 3 addresses
  • Pricing can become unpredictable for high-volume usage, with per-request costs that may escalate quickly in production
  • Primarily search-focused; users needing deep structured data extraction beyond snippets may require additional scraping tools
  • Response times can vary significantly, with some alternatives offering faster performance for certain use cases

Pricing plans

Free
$0 / month
  • 1,000 requests per month
  • Web search tool calls for agents
  • Webpage text and highlights
  • Configurable latency: 180ms to 1s
Pro
Usage-based / month
  • $12 per 1,000 requests (Deep)
  • $15 per 1,000 requests (Deep Reasoning)
  • $1 per 1,000 pages (Contents)
  • Production AI agents and RAG apps
Enterprise
Custom / month
  • Custom pricing
  • Contact sales for details

Key features

Api

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Feature
Exa
Lovable
You.com
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
No
No
No
API
Yes
—
Yes
Self-hosted
No
No
No
Team support
—
Yes
—

Frequently asked questions

Is Exa free?+

Yes, Exa offers a free tier that includes up to 1,000 requests per month. This free plan provides access to web search tool calls for agents, webpage text and highlights, and configurable latency options from 180ms to 1 second. Beyond the free tier, Exa operates on usage-based pricing.

What does Exa integrate with?+

Exa is used by major platforms including Cursor, Cognition, HubSpot, OpenRouter, and Monday.com, serving over 400,000 developers. As an API-first service, it can integrate with any application that can make HTTP requests. Specific integration details for other platforms were not found in our research — check the official documentation for comprehensive integration guides.

How does Exa compare to alternatives?+

Exa is positioned as an AI-native search API with neural search capabilities, competing with alternatives like Tavily, Firecrawl, and traditional search APIs. Reviewers note that Exa excels at semantic search and contextual understanding for LLM applications. However, alternatives like Tavily may offer more predictable costs and faster response times in some cases, while tools like Firecrawl provide deeper structured data extraction. The choice depends on whether you prioritize semantic search quality, cost predictability, or extraction depth.

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