Neural web search API and AI search engine built for LLM agents, with embedding-based retrieval and structured content extraction.
Neural web search API and AI search engine built for LLM agents, with embedding-based retrieval and structured content extraction.
Exa is a search API engineered from the ground up for AI agents instead of human browsers. Where traditional search engines optimize for ten blue links and ad inventory, Exa indexes the web with embeddings and serves query-by-meaning results that surface authoritative pages even when the wording does not match. Developers can call /search for keyword or neural search, /findSimilar to expand a known page into a cluster of related sources, /contents to pull cleaned page text or summaries, and /answer for grounded LLM responses with citations. A newer Deep Research endpoint kicks off multi-step background investigations that return long-form reports. Exa also ships an MCP server, letting Claude Desktop, Cursor, and other MCP clients add Exa as a real-time search tool with one config entry. Pricing is usage-based: a generous free tier with $10 in credit, then pay-as-you-go from roughly $0.0001–$0.025 per query depending on result count, content extraction, and depth. Higher-volume Standard and Enterprise plans add dedicated capacity, SLAs, and discounted rates. Teams building research agents, RAG pipelines, monitoring tools, and competitive intelligence dashboards use Exa as a higher-signal replacement for SerpAPI-style scrapers when they need clean, semantically relevant pages rather than noisy SERP HTML.
Was this helpful?
Exa's neural search engine excels at finding content that keyword-based search APIs miss entirely, making it invaluable for AI agents doing research and discovery. The smaller index means some coverage gaps, but semantic search quality is often superior to traditional alternatives.
A purpose-built embeddings-based web index that ranks results by semantic meaning, allowing AI agents to issue natural-language queries and retrieve conceptually relevant pages even when keywords do not match.
Fetches clean, parsed text, summaries, and highlights from any URL returned by search (or supplied directly), removing the need for custom scraping, boilerplate stripping, and HTML cleanup in RAG pipelines.
Returns a synthesized natural-language answer with inline citations from the open web, enabling developers to embed Perplexity-style cited responses into their own applications via a single API call.
Higher-level product that turns a natural-language description of an entity type into a structured, spreadsheet-style dataset of matching results enriched with custom columns — useful for lead generation, recruiting, and market research.
Orchestrates multi-step search, browsing, and synthesis to produce long-form, cited research reports from a single high-level prompt, designed for agentic workflows that need depth rather than a single SERP.
Official Model Context Protocol server plus SDKs and integrations let MCP-aware clients (Claude, Cursor) and frameworks (LangChain, LlamaIndex) call Exa as a native tool without custom adapters.
Supports filtering by domain, date range, language, and content type, with an auto mode that dynamically chooses between neural and keyword search per query for optimal recall and precision.
Prompt builder, API dashboard with usage analytics, status page, and detailed documentation reduce time-to-first-query and make it easier to monitor production deployments.
$10 credit
From $0.0001/query
From $250/mo
Custom
Ready to get started with Exa?
View Pricing Options →Exa works with these platforms and services:
We believe in transparent reviews. Here's what Exa doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
Exa has continued to expand beyond a pure search API into a broader AI web-data platform. Recent additions include the Websets product for building structured datasets from natural-language descriptions, a Deep Research API for long-form cited reports, and an official MCP server that lets Claude, Cursor, and other Model Context Protocol clients call Exa as a native tool. The Answer endpoint has been hardened for production use with citation support, and the Contents API now offers richer summaries and highlights. Developer tooling has grown with a prompt builder, an updated API dashboard, and additional case studies and integration partners, reflecting Exa's positioning as core retrieval infrastructure for agentic applications.
AI Developer Tools
a real-time search, extraction, research, and web crawling API designed specifically to connect AI agents to the web.
Integrations
Independent search API with its own 30+ billion page web index, real-time updates, AI answer summaries, and privacy-first architecture. The default search provider for Claude MCP integrations.
Search & Discovery
Serper: Google SERP API optimized for AI retrieval pipelines. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
No reviews yet. Be the first to share your experience!
Get started with Exa and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →Stop drowning in repetitive tasks. These 10 AI automation workflows help small businesses save time on email, customer support, invoicing, social media, and more — with practical setup guidance using accessible tools.
Learn LangGraph from scratch. Build stateful AI agent workflows with cycles, branching, persistence, human-in-the-loop, and multi-agent coordination — with real Python code examples.