Exa
AI search API and engine that retrieves the best, real-time web data for AI apps.
Overview
Exa: AI Web Search API and Real-Time Engine for Building AI Agents and Apps
Exa is the AI search API and engine that gives AI apps real-time, high-quality web data. Engineers building agents, RAG systems, research tools, and AI products use Exa to retrieve the best content per query, including full page contents, semantic similarity, and structured finds, instead of trying to scrape the web themselves. Backed by YC and Lightspeed, Exa Labs powers retrieval for many of the AI products you already use.
Key Features:
- AI search API with semantic and keyword retrieval
- Full page contents and structured data per result
- Real-time crawling for fresh web information
- Find similar pages and entity-level discovery
- Strong relevance for AI agents, RAG, and research tools
- SDKs for TypeScript, Python, and other languages
- Free tier with monthly searches and usage-based scaling
- Enterprise plans with dedicated capacity and SSO
- Active Discord and developer community
Ideal Use Case:
Exa is built for engineers shipping AI agents, RAG systems, research tools, and AI search features that need real-time web data. It is especially valuable when retrieval quality directly drives product quality and a managed search API beats running a crawler.
Why Use Exa:
- Plug high-quality real-time web data into AI agents and apps
- Retrieve full page contents and structured data per query
- Use semantic similarity for entity and content discovery
- Skip building and operating your own web crawler
- Pay per use, with enterprise plans for production scale
- Use the same search infrastructure that powers many AI products
FAQ
Is Exa free? Yes. Exa has a free tier with monthly searches. Paid usage is metered per search, with Pro and Enterprise plans for higher volume.
What does Exa do? Exa is an AI search API and engine that returns the best real-time web data, including full contents and similarity finds.
Who uses Exa? Engineers building AI agents, RAG systems, research tools, and AI search features in many AI products.
Does Exa have SDKs? Yes. Exa has TypeScript, Python, and other SDKs.
How is Exa different from Bing or Google search APIs? Exa is purpose-built for AI use cases with semantic retrieval, full contents, and entity discovery, optimized for agents and RAG.
tl;dr:
Exa is the AI search API for AI apps, with real-time web data, semantic retrieval, and structured contents. For engineers shipping agents, RAG, and AI research tools, it is one of the most credible search infrastructure choices on the market.
Related
Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Exa is also tracked on Crunchbase.
Why Use Exa
FAQ
Editorial Review
Our take on Exa.
Exa is an AI search API that retrieves real-time web data for AI applications, with freemium access and usage-based pricing.
What works
- Live web data for AI agents without staleness penalty
- API returns ranked, structured results ready for LLM context
- Freemium tier lowers barrier to prototype and validate
What doesn't
- Cost scales with query volume; can get expensive at scale
- Dependent on Exa's crawler quality and uptime guarantees
Exa functions as a search engine purpose-built for AI agents and applications that need current web data. Rather than relying on static training data, it lets AI systems query live internet content—news, research, recent announcements—and returns ranked results optimized for machine consumption. The API surfaces both metadata and full page content, so you can feed structured information directly into LLM prompts without parsing brittle HTML yourself.
The freemium model lets you test the API with a monthly quota before committing to usage-based pricing. Paid tiers add higher rate limits, dedicated capacity, and team features like SSO. As of 2026, it's seeing adoption in AI product suites that need real-time context—the kind of thing that breaks with outdated embeddings or knowledge cutoffs. The 4.83 community rating suggests users find the retrieval quality and API design solid for the job.
Trade-offs are real. You're dependent on Exa's crawler and ranking, not your own index; if their quality drifts, so does yours. Cost scales with query volume, which can add up fast in production. And like any external API, you're bound to their uptime and rate limits. Best fit is for teams building AI features that genuinely need fresh data—customer research tools, real-time analytics dashboards, competitive intelligence agents—not as a search replacement for consumer apps.
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