Smarter search that gives AI agent richer data at lower cost
Exa 3.0 is the biggest search quality update to Exa’s search API for AI agents. It adds a larger embedding model, billions of new documents including 1.27B ecommerce listings and 211M+ local businesses, and Dynamic Highlights, which use 95% fewer tokens than full page text. A new Exa Lite tier costs $4 per 1,000 requests, and Exa Auto costs $7. Available now through the API.
Exa 3.0 is a major upgrade to Exa’s search API, built for AI assistants and search-intensive applications. It solves the challenge of getting high-quality, current web data without excessive cost or token usage.
What stands out:
Top-ranked retrieval across coding, finance, deep research, company intelligence, and public benchmarks.
Dynamic Highlights reduces token usage by 95% versus full-page text while improving answer quality—at no extra charge.
Expanded independent index with 2T+ URLs tracked and 100B pages served, adding ecommerce listings, local businesses, news, sports, weather, flights, events, transit, and podcasts.
Exa Lite, a cost-sensitive search option at $4 per 1,000 requests, alongside Exa Auto at $7 per 1,000 requests.
It’s especially useful for teams building personal AI assistants, research tools, coding agents, and go-to-market or company-intelligence products.
If you’re building an AI product that needs reliable web search, this is worth exploring.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
About Exa 3.0 on Product Hunt
“Smarter search that gives AI agent richer data at lower cost”
Exa 3.0 launched on Product Hunt on October 20th, 2026 and earned 132 upvotes and 1 comments, placing #5 on the daily leaderboard. Exa 3.0 is the biggest search quality update to Exa’s search API for AI agents. It adds a larger embedding model, billions of new documents including 1.27B ecommerce listings and 211M+ local businesses, and Dynamic Highlights, which use 95% fewer tokens than full page text. A new Exa Lite tier costs $4 per 1,000 requests, and Exa Auto costs $7. Available now through the API.
On the analytics side, Exa 3.0 competes within API, Artificial Intelligence and Search — topics that collectively have 598.4k followers on Product Hunt. The dashboard above tracks how Exa 3.0 performed against the three products that launched closest to it on the same day.
Who hunted Exa 3.0?
Exa 3.0 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Exa 3.0 is a major upgrade to Exa’s search API, built for AI assistants and search-intensive applications. It solves the challenge of getting high-quality, current web data without excessive cost or token usage.
What stands out:
Top-ranked retrieval across coding, finance, deep research, company intelligence, and public benchmarks.
Dynamic Highlights reduces token usage by 95% versus full-page text while improving answer quality—at no extra charge.
Expanded independent index with 2T+ URLs tracked and 100B pages served, adding ecommerce listings, local businesses, news, sports, weather, flights, events, transit, and podcasts.
Exa Lite, a cost-sensitive search option at $4 per 1,000 requests, alongside Exa Auto at $7 per 1,000 requests.
It’s especially useful for teams building personal AI assistants, research tools, coding agents, and go-to-market or company-intelligence products.
If you’re building an AI product that needs reliable web search, this is worth exploring.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends