Exa vs Tavily: Search API for AI Agents Compared
Exa and Tavily both provide web search and retrieval APIs for AI agents. Exa emphasizes search, crawling, content retrieval, and deep research APIs, while Tavily focuses on search, crawl, extract, and map APIs for RAG and agent workflows.
Tagline
Search API built for AI agents.
Search and extract web data for AI agents.
Pricing
FreemiumFree tier; usage-based pricing
FreemiumFree tier; usage-based pricing
Open source
No
No
API available
Yes
Yes
Platforms
API
API
Key features
- • Search API
- • Web crawling
- • Content retrieval
- • Deep research API
- • Agent search
- • Search API
- • Crawl API
- • Extract API
- • Map API
- • RAG workflows
Exa
Search API built for AI agents.
Pros
- + Built for AI agents
- + Good developer docs
- + Useful for web-grounded apps
Cons
- – API-only
- – Requires engineering
- – Search quality depends on query design
Tavily
Search and extract web data for AI agents.
Pros
- + Agent-focused APIs
- + Good for RAG
- + Simple developer workflow
Cons
- – Developer-only product
- – Usage pricing needs monitoring
- – Requires source validation
Which should you choose?
Choose Exa if…
- • You need ai search
- • You need agent research
- • You need web data retrieval
Choose Tavily if…
- • You need ai agents
- • You need web search
- • You need rag systems
The verdict
Choose Exa if you want a broad search and web data API for agent research and crawling. Choose Tavily if your main need is a straightforward agent/RAG search API with extract and crawl workflows.