Exa Connect Unlocks Private Commercial Data for AI Agents

Exa Connect is live, and it marks a meaningful shift in what AI agents can actually know. Until now, agents built on Exa's search infrastructure were limited to the public web. With Connect, they can reach into the walled gardens of premium commercial data , company intelligence, web traffic analytics, startup funding signals, healthcare provider databases, and more , all through a single Exa API request.

What just shipped

The pitch is straightforward: connect your agents to the world's public and private data, accessing thousands of data providers through a single Exa request. Launch partners include some of the most widely used commercial data sources in enterprise workflows:

• ZoomInfo , 500M+ verified contacts and a GTM Context Graph that processes 1.5B+ data points daily to surface in-market accounts.
• Crunchbase , natural-language search across 4M+ private companies, plus AI predictions on funding, growth, acquisitions, IPOs, closure, and layoffs (~100K predictions per month).
• Similarweb , web analytics covering traffic estimates, global rankings, and competitor discovery for any domain.
• Harmonic , startup intelligence with company, founder, funding, and hiring signals.
• DefinitiveHealthcare , provider, facility, and organization data for commercial healthcare workflows.
• Faraday AI , identity and prediction data for audience building and personalization.
• DataBento and Alpha Vantage , financial market data.
• Particle News , podcast transcript search with speaker attribution and timestamps.

Some providers (Similarweb, Baselayer, Fiber.ai, Jinko, Affiliate.com, Financial Datasets, Particle News) are available directly through the playground today. Others , ZoomInfo, Crunchbase, Harmonic, DefinitiveHealthcare, Faraday AI, Intellizence, and Kernel , require contacting Exa's sales team to set up. Exa is also opening the marketplace to new providers, letting any data company set their own prices and get discovered by agents on the web.

The company behind it

Exa started five years ago to build perfect search over all the world's information. In early 2023, the team saw that AI products and agents would most benefit from a perfect search API, so Exa announced the first web search API for AI. The company uses neural search and web-scale indexing systems to retrieve and organize information based on semantic meaning rather than traditional keyword matching. That positioning has paid off: since then, the number of companies using Exa has grown to over 5,000.

Exa Labs raised $250 million at a $2.2 billion valuation in a round led by Andreessen Horowitz. The deal more than triples the five-year-old startup's valuation since it raised $85 million at a value of $700 million last fall. Exa's search tools are already used by companies including Cursor, Cognition, HubSpot, OpenRouter, and Monday.com, along with more than 400,000 developers.

Why this is a bigger deal than it looks

The public web is vast, but it's also noisy, unstructured, and often stale. The data that actually drives enterprise decisions , verified contact information, private company funding rounds, web traffic estimates, healthcare provider networks , lives behind paywalls and licensing agreements. Historically, accessing it meant negotiating separate contracts with each vendor, managing multiple API keys, and building custom integrations for every data source. That's expensive and slow.

Exa Connect collapses that into one interface. Agents can access thousands of data providers through a single Exa request. The practical implication is significant: an agent doing competitive research could pull Similarweb traffic data, Crunchbase funding history, and ZoomInfo contact enrichment in a single orchestrated call, rather than stitching together three separate integrations. For teams building sales intelligence agents, market research tools, or GTM automation, this removes a substantial amount of plumbing.

There's also a supply-side angle. Exa is positioning Connect as a two-sided marketplace. Data providers can list themselves, set their own pricing, and get discovered by any agent on the web. That's a meaningful distribution channel for niche data vendors who currently have no way to reach the growing population of autonomous agents.

The agentic search race

The emerging agentic search category is splitting between answer engines with an API bolted on (Perplexity), SERP wrappers that scrape Google/Bing (SerpAPI, Bright Data), browser-native search APIs (Brave), and AI-native search APIs like Exa, Parallel ($130M raised), Tavily ($25M raised), and Jina AI. Exa's bet is that the AI-native approach , semantic search built from the ground up for machine consumption, not humans , wins as agents become more autonomous and their data requirements become more demanding.

As trillions of agents come online over the coming years, search needs will grow thousands of times beyond the total search volume of Google. And as agents make increasingly important business decisions, their requirements for comprehensiveness, freshness, and precision will far exceed what humans require. Connect is Exa's answer to the comprehensiveness problem , the public web alone won't be enough.

Exa highlighted the scale of its infrastructure, saying its crawlers index more than 500 billion URLs and that it has developed its own vector database to support high query volumes. The startup said it will use its new capital to train its next generation of models and expand infrastructure capable of handling hundreds of thousands of searches per second.

Who wins, who loses

The clearest winners are teams building agents that need rich, structured commercial data. Instead of paying ZoomInfo's $30K-60K/year enterprise contracts directly and building a custom integration, they can access it through Exa's unified API at whatever pricing Exa negotiates. The data providers themselves also benefit from a new distribution channel , agents are a fast-growing consumer of structured data, and being discoverable in an agent marketplace is a new kind of SEO.

The potential losers are the traditional data aggregation and enrichment platforms that have built their moats on being the integration layer. If Exa becomes the default data access layer for agents, platforms that charge for aggregating multiple sources lose a key differentiator. There's also a question for the data providers themselves: by routing through Exa, they gain agent distribution but potentially cede some pricing power and direct customer relationships.

What to watch

Exa said it is assembling the best people around the world to support its expansion, citing recent hires including the former head of retrieval infrastructure at Meta, the head of search backend at Yandex, and a research team from Google. Marcus Holm, President of LaunchDarkly, is joining as Exa's CRO to lead the global GTM organization. The company is clearly gearing up for an enterprise push, and Connect is the product that makes that story coherent , it's not just a search API anymore, it's infrastructure for agent data access at scale.

For developers, the immediate question is pricing. Some providers are self-serve through the playground, while the marquee names (ZoomInfo, Crunchbase) require a sales conversation. How Exa structures the economics , whether it takes a cut of data provider revenue, charges per-query, or bundles it into enterprise contracts , will determine how attractive this is versus going direct to each vendor. The Exa docs and the agent playground are the fastest way to see what's self-serve today.