AI Agent Index
ByHeather MacAvelia·Independently reviewed·Last verified Jul 8, 2026

AI-native search API for agents with Search, Deep Search, Research, and Crawling. $361M raised at $2.2B valuation. Free tier; Search $7/1K requests. 400K+ developers.

How we scored it

Autonomy

5/5

Integrations

5/5

Pricing clarity

5/5

Evidence

4/5

Setup

4/5

The facts

Exa AI (formerly Metaphor Systems) is the AI-native search infrastructure platform built for AI agents and large language models needing real-time web search, structured content extraction, deep research with structured outputs, and full-site crawling through a single API. Founded around 2021 by Will Bryk (CEO), Dan McArdle, and Jeffrey Wang in San Francisco, Exa has built a proprietary search engine that indexes over 500 billion URLs using models trained from scratch rather than reselling Google or Bing results. In May 2026, Exa raised $250M in a Series C round led by Andreessen Horowitz at a $2.2 billion valuation. That brought total confirmed funding to $361M across four rounds, with participation from Benchmark, Lightspeed Venture Partners, Y Combinator, and NVIDIA. The platform serves 400,000+ developers and 5,000+ businesses. Named customers include Cursor, Cognition (which powers all web access for the Devin AI developer agent through Exa), HubSpot (2.7 million enrichments completed via an agentic lead engine), OpenRouter, and Monday.com. Exa is API-first with native integrations across major AI agent frameworks: LangChain, LlamaIndex, and OpenAI (direct tool-use support). The platform publishes an official MCP server (endpoint mcp.exa.ai/mcp, listed in the Model Context Protocol registry) enabling any MCP-compatible AI system to access all Exa endpoints directly. Python and JavaScript SDKs are open source under the exa-labs GitHub organization. Enterprise features include Zero Data Retention (configurable automatic purging of all queries and data), Single Sign-On for team authentication, and dedicated support with custom SLAs. Notable integration gap: Exa does not publish native integrations with vector database providers such as Pinecone, Weaviate, or Chroma for hybrid retrieval workflows, and does not offer low-code connectors for non-developer teams. Pricing is usage-based with a permanent free tier. Free provides 20,000 requests per month with no credit card required. Search costs $7 per 1,000 requests with web search, token-efficient page contents via Exa Highlights, and configurable latency from 180ms to 1 second. Deep Search costs $12 to $15 per 1,000 requests for multi-step agent workflows with structured outputs and web-grounded citations. Crawling is billed at $1 per 1,000 pages. Enterprise pricing is custom with dedicated SLAs and custom rate limits. A free student program is available for academic use. Exa is not designed for non-developer use cases or teams needing a consumer research interface. Perplexity AI ($17/mo) provides consumer-facing research with built-in web search. ChatGPT Deep Research ($20/mo) and Gemini Deep Research ($19.99/mo) handle autonomous research through conversational interfaces without developer tooling. Tavily (free tier, usage-based) is the closest direct competitor, with a similar four-capability API stack and a larger confirmed developer base at 2M+. Tavily was acquired by Nebius for $275M in February 2026 and is now a Nebius subsidiary, while Exa remains independent with Andreessen Horowitz backing. SerpAPI and Brave Search API provide traditional search access for non-AI applications. The $250M Series C led by Andreessen Horowitz at a $2.2 billion valuation (May 20, 2026) is the defining recent event, bringing total funding to $361M across four rounds. Recent enterprise hires include the former head of retrieval infrastructure from Meta, the head of search backend from Yandex, and a research team from Google, alongside Marcus Holm (President of LaunchDarkly) as Chief Revenue Officer. Exa Highlights processes up to 25 trillion tokens per week through its specialized content extraction model. The platform holds SOC 2 Type II certification (current audit report and 2026 bridge letter) plus HIPAA compliance, with full documentation on the Trust Center at trust.exa.ai. The Websets product extends the API with structured data collection for lead generation and enrichment workflows.

Pricing

freemium

View pricing ↗

Segment

b2b

Setup

easy

Verified

Jul 8, 2026

Transparency

Public

Contract

Month-to-month

Data training

Not Disclosed

Autonomy

Autonomous

Capabilities

web-searchcitationsdeep-researchdata-analysisautonomous

Pros & Limitations

Editorial assessment

Pros

  • Proprietary search index covering 500 billion+ URLs, built with models trained from scratch, provides independence from Google and Bing result reselling. That enables search quality and customization wrapper-based alternatives cannot match, with Exa Highlights processing up to 25 trillion tokens per week.
  • $361M total funding, including a $250M Series C led by Andreessen Horowitz at a $2.2 billion valuation, signals category-defining institutional conviction. Benchmark, Lightspeed, Y Combinator, and NVIDIA as investors provide ecosystem access across the full AI value chain.
  • Named enterprise adoption by category-defining AI companies: Cognition uses Exa to power all web access for the Devin AI developer agent, and HubSpot completed 2.7 million enrichments through an agentic lead engine powered by Exa, confirming production-grade reliability at scale.

Limitations

  • A thin independent review trail: just 1 G2 review at 4.5 as of mid-2026 despite $361M in funding, so procurement teams must rely on investor backing and case studies rather than peer reviews. Tavily (G2 claimed, 2M+ developers, 27K+ GitHub stars via GPT Researcher) has a more established evidence profile.
  • Usage-based pricing creates cost uncertainty for production agents with variable query volumes: Search at $7/1K and Deep Search at $12 to $15/1K can generate unpredictable monthly costs, while flat-rate alternatives such as Perplexity ($17/mo) offer more predictable budgeting.
  • Smaller confirmed developer base than primary competitor Tavily: 400K+ developers versus 2M+ creates a narrower ecosystem and less publicly documented production deployment history, though independence from acquisition (versus the Nebius acquisition of Tavily) may advantage teams avoiding platform lock-in.

Technical Details

Deployment
api
Model architectureProprietary neural search engine (500B+ URL index, models trained from scratch) with a Highlights content-extraction model
Avg setup time< 30 minutes (sign up free, generate API key, install SDK in agent framework, run first search query within the 20,000 free monthly request quota)
Autonomous rateFully autonomous: Deep Search and Research endpoints execute multi-step agent workflows with structured outputs and web-grounded citations without human involvement. Search and Crawl endpoints resolve queries autonomously with Exa Highlights processing up to 25T tokens per week. Per-request pricing ($7 to $15/1K) structures every call as an independent resolution.
Integrations
LangChainLlamaIndexOpenAIMCP ServerPython and JavaScript SDKs
Security
SOC 2 Type IIHIPAA

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Rating

4.7/ 5

Editorial score

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Recognition

Rated 4.7 ★MCP Server VerifiedTransparent PricingListed 2026
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Industries

DevToolsSaaSStartupsEnterprise

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