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ExaEditor's Pick

Neural search engine using embeddings-based next-link prediction – finds semantically similar content, not just keyword matches.

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

AI search APIs are the infrastructure layer that gives large language models access to current web information. Unlike traditional search engines, these APIs return semantically relevant, structured results optimized for retrieval-augmented generation (RAG) and AI agent workflows. They are used by AI products that need to answer questions about the real world beyond their training data.

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Features

–JS Rendering
✓Structured Output
–Open Source
–Self-Hosted Option
Pricing:FreemiumSee pricing →

Editorial assessment

The most technically differentiated search API in the category. Embeddings-based retrieval surfaces results that keyword search misses entirely, which is why Cursor and AWS use it. At ~$10M ARR with 1,010% YoY growth and a $700M valuation, execution is strong – but pricing at $5-10/1K queries adds up fast for high-volume agent workloads.

How Exa compares

Tavily

Tavily is the direct competitor with broader LLM framework integrations, though now Nebius-owned.

You.com

You.com offers composable search APIs with more granular control over source types at enterprise scale.

See full Exa alternatives comparison →

Comparisons

Exa vs Linkup: Pricing & Features Compared (2026)Exa vs Perplexity Sonar: Pricing & Features Compared (2026)Exa vs Tavily: Pricing & Features Compared (2026)

Frequently asked questions

How much does Exa cost?

Exa charges roughly $5 per 1K queries on the keyword tier and $10 per 1K queries for neural search with content retrieval. There's a free tier with 1,000 queries per month for testing. Enterprise plans are negotiated separately and typically include volume discounts past 10M queries per month.

Is Exa better than Tavily?

Exa wins on semantic discovery: its embeddings-based index surfaces conceptually similar pages that keyword search misses entirely, which is why Cursor and AWS use it. Tavily wins on LLM-framework integration breadth (LangChain, LlamaIndex) and price-per-query for straightforward web search. Choose Exa if you're building discovery-heavy agents; choose Tavily if you need plug-and-play RAG.

What is the Exa API used for?

Exa is used for AI agents that need to find semantically related web content rather than keyword matches – research agents, deep-research tools, similar-document discovery, and link-prediction features inside coding assistants. Its `findSimilar` endpoint is the most differentiated feature; competitors don't offer a comparable embeddings-native retrieval primitive.

Does Exa offer a free tier?

Yes. Exa offers 1,000 free queries per month on signup, which is enough to evaluate the API end-to-end on a real workflow. Paid plans start around $25/month for higher query volumes; pricing scales by query type (keyword vs. neural) and whether you fetch full page content.

Latest News

AI search startup Exa raises $250M at $2.2B valuationMay 20, 2026

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