Serve every model with frontier-level knowledge

Give every model you deploy the largest index of the public web and private data sources.

Search that ships with all your models

Offer search natively and give open models access to today's knowledge.

Give every model access to 100B documents

Ground model responses in an index spanning companies, code, finance, shopping, sports, and news. Exa tracks 1.4T URLs so models can look up a company's latest funding round, a product's price, or yesterday's game through one API.

Offer web search as a native feature

When search lives outside an inference platform, a developer's agent makes an extra network call for every task that requires research. Offering it natively turns search into a feature that developers procure directly from the platform without a separate sign-up, bill, or vendor to manage.

Eliminate the knowledge cutoff on models

Give models a search tool for information missing from their training data. Retrieve this morning's news, the latest library documentation, or yesterday's market close as context for the next response.

The default search engine across OpenRouter's 400+ models

OpenRouter uses Exa as the default search engine for models that come without built-in search.

OpenRouter
“OpenRouter has a laser focus on bringing a great developer experience to all language models, and Exa is the best way we've found for grounding AI in the real world in a model-agnostic way.”
Alex Atallah
CEO, OpenRouter

Exa organizes data across billions of sources

Every datapoint is selected on source quality and freshness, based on the latest events from today

70M+ Businesses
Pricing pages
1B+ People Records
Job postings
Contact data
Product reviews
Latest News
Funding rounds
Financial market data
Exa Connect
Earnings call transcripts
Investor portfolios
Recent hires
Conference speaker lists

Connect Exa to your inference and serve workflow

Claude

Serve tool-using models

ChatGPT

Ground live answers

LangChain

Wire search into agents

Exa MCP

Connect research tools

AWS

Run workflows

Databricks

Join serve traces to data

See all integrations (55)

Common questions

Inference providers run Exa Search server-side and offer web search as a native feature of their platform, so developers enable search on a model without a second vendor key and without a round trip from their own client. Exa returns cited passages at answer time, which lets open models answer from today's web rather than their training date. OpenRouter, for example, uses Exa as the default search engine for models that come without built-in search.

Coding agents call Exa to pull working code examples from Exa's code index when they hit an unfamiliar library, and to verify against current documentation, changelogs, and release notes for changes made after the model's training cutoff. Exa Highlights return the relevant excerpt rather than the full documentation page, which keeps tokens per task down. Devin from Cognition and CodeRabbit's code review agents both use Exa; the details are in Exa's coding use case.

No. Exa supplies live web search and page contents through an API, and you keep your own vector store, memory layers, and inference stack. Exa sits beside them as the source for what is on the web today.

Exa Instant, Exa's fastest search tier, returns results in under 250ms. Exa Search also offers Fast at about 450ms, Auto at about one second, and Deep at 4-15 seconds for agentic research, so a provider picks the tier per call. The Exa Instant post has the published figures; for latency on your own stack, talk to Exa sales.

Exa's integrations page lists them by category, including Models & Inference, Frameworks & SDKs, Agents & Assistants, and Automation & No-Code. Exa also connects to Claude, ChatGPT, LangChain, AWS, and Databricks, and runs as an MCP server through Exa MCP.

Yes, without retraining the model. In Exa's published RL study of May 13, 2026, holding the model fixed and changing only the search backend raised SimpleQA Pass@1 from 0.579 to 0.651 on an untrained Qwen3-4B and from 0.689 to 0.730 on an untrained Qwen3-235B. Exa scored higher on 11 of the 12 model and benchmark pairs the study reports. Setup and full tables are in the RL search outcomes post.

Exa is SOC 2 Type II audited, and honors GDPR and CCPA data-subject rights. Zero data retention is available, meaning your queries and results are not stored or used for training. Single sign-on comes with an Enterprise plan. Terms are on the enterprise page.

Give every model you serve today's knowledge