About Exa AI
Exa is a web search API and AI web researcher that retrieves the best, realtime data from the web for your AI. It offers products like web search, crawling, and LLM answers. Exa provides business-grade search and crawling for any web data, allowing users to search across the web, find and enrich data with its Websets feature, and get answers informed by Exa search results.
How to Use
Users can use Exa through its API for web search, crawling, and LLM answers. The API allows users to search the web, get full page contents, summaries, and metadata for URLs, and get LLM answers to questions informed by Exa search results. Exa Websets can be used to find and enrich data for sales, recruiting, and market research.
Key Features
- Web Search API
- Web Crawling
- LLM Answers
- Websets for data enrichment
Use Cases
- Summarize news on any topic
- Collect information about a company across news, socials, and databases
- Search for relevant sources and synthesize into a reliable report
- Ask questions and get answers with RAG
- Find and evaluate potential candidates for recruiting
Key Features
Pros & Cons
- Highest quality search accuracy per benchmarks (FRAMES, Tip-of-Tongue, Seal0)
- Low latency options (sub-200ms) for latency-sensitive agent loops
- Token-efficient highlights reduce costs for LLM context by up to 90%
- Structured outputs for easy parsing and integration into applications
- Large index of 500B+ webpages with real-time crawling capabilities
- Used by major companies and over 400,000 developers
- Flexible pricing with free tier ($20 credits on sign-up) and pay-as-you-go plans
- Dedicated research team with custom embedding models and H200 clusters
- Can be expensive for high-volume usage (pricing per 1k requests)
- Requires API integration and development effort, no standalone user interface
- Some advanced features (Agent, Deep Search, Monitors) have additional costs
- Free tier limited to $20 credits on sign-up, no permanent free option
- Best suited for developers and AI agents rather than end-users directly
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