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ExaAI-native search API delivering high-quality web results for LLMs and agents

4.5 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Exa is a search engine built specifically for AI applications, offering a developer-friendly API that returns clean, relevant web content optimized for use with large language models. Unlike traditional search engines designed for human browsing, Exa uses neural and keyword search techniques to surface high-quality pages based on meaning rather than just keywords. Developers can use Exa to power retrieval-augmented generation (RAG) pipelines, research agents, and other AI workflows that need fresh, accurate information from the web. The API supports semantic search, similarity lookups, content extraction, and filtering by domain, date, or type. With structured outputs and direct page content retrieval, Exa aims to reduce the friction of integrating real-time web data into AI products.

Key features

  • Neural and keyword search modes
  • Full page content retrieval
  • Similarity search from URLs
  • Date, domain, and category filters
  • Developer API with SDKs
  • RAG-ready structured outputs

Pricing

Model
Free
Category
Research
Rating
4.5 / 5 (4)

Use cases

Powers coding agents with smart search across docs and repos

Makes coding agents smarter by providing comprehensive coverage over all search verticals, giving them the right context to solve problems.

Enrichments as structured outputs across 70M+ companies

Extracts enrichments as structured outputs across 70M+ companies with Exa, providing low-latency to deep research in one API.

Trusted by world-class teams for data discovery

Trusted by world-class teams to find the data they need, Exa powers all parts of various projects and lead engines, such as Devin and HubSpot.

Pros & Cons

Pros

  • Designed specifically for LLM and agent use cases
  • Semantic search returns contextually relevant results
  • Built-in content extraction saves scraping work
  • Flexible filters for domain, date, and content type

Cons

  • Requires technical knowledge to integrate
  • Usage-based pricing can scale with high volume
  • Less useful for non-developer end users

Battle record

Across 1 battle in the Pantheon.

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Last battle

Reviews

4.5

Average from 4 ratings.

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GE

Gunnar Eriksson

Nov 18, 2025

Use it every day

Honestly didn't expect to like it this much. Full page content retrieval is exactly what I needed, and built-in content extraction saves scraping work. I do wish usage-based pricing can scale with high volume, but I reach for it almost every day now and it just clicks.

Olga Ivanova

Olga Ivanova

Nov 5, 2025

Use it every day

Honestly didn't expect to like it this much. Date, domain, and category filters is exactly what I needed, and semantic search returns contextually relevant results. I do wish requires technical knowledge to integrate, but I reach for it almost every day now and it just clicks.

Priya Nair

Priya Nair

Aug 3, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on full page content retrieval, and built-in content extraction saves scraping work caught me off guard. still, I'd recommend giving it a real trial.

Pierre Dubois

Pierre Dubois

Jul 26, 2025

Solid for our team

We rolled this out across the team last quarter and semantic search returns contextually relevant results. Date, domain, and category filters fits neatly into how we already work, and date, domain, and category filters removed a step we used to do by hand. but it has held up under daily use.

Q&A

What's on our roadmap?

Build a (much) larger index Solve search. No, really.

Asked by Petros Georgiou · Feb 3, 2026

Does Exa have a crawler?

Exa crawls pages on the web, just like any other search engine. If a webpage has the noindex tag and is therefore not crawlable by any search engine, then Exa will not crawl that page.

Asked by Quang Nguyen · Jan 18, 2026

What security measures does Exa take?

We have robust policies and everything we do is either in standard cloud services, or built in house (e.g., we have our own vector database that we serve in house, our own GPU cluster, our own query model and our own search solution). In addition to this, we can offer unique security arrangements like zero data retention as part of a custom enterprise agreement. Learn more.

Asked by Mateusz Wozniak · Jan 17, 2026

How does similarity search work?

When you search using a URL, Exa crawls the URL, parses the main content from the HTML, and searches the index with that parsed content. The model chooses webpages which it predicts are talked about in similar ways to the prompt URL. That means the model considers a range of factors about the page, including the text style, the domain, and the main ideas inside the text. Similarity search is a natural extension for a semantic search engine like Exa, and something that’s difficult with traditional search engines.

Asked by Bianca Ferreira · Dec 28, 2025

How often is the index updated?

We update our index every hour, and are constantly adding batches of new links. We target the highest quality web pages. Our clients oftentimes request specific domains to be more deeply covered - if there is a use-case we can unlock by additional domain coverage in our index, please contact us.

Asked by Ren Nakamura · Dec 26, 2025

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