Exa

What does Exa do?

Exa powers AI apps with web search that returns clean, relevant context instead of ad-driven results. Its Search, Deep Search, and Answer endpoints support fast retrieval, structured outputs, shows, and web-grounded citations, while Contents and Monitors handle full-page ingestion and recurring web checks. The API is built for agent loops and batch workflows, with configurable latency down to under 180ms and search results that can scale to thousands of items for automatic processing. Behind the scenes, Exa indexes 100s of billions of webpages and uses semantic search technology to understand natural-language queries and complex intent. Customers like Cursor, Flatfile, WhyHow.AI, and Databricks use it to ground agents, reduce hallucinations, and find fresh sources; Exa says thousands of companies rely on it, and OpenRouter uses it to bring real-time web data to 400+ LLM models. The platform also supports dedicated indexes and zero data retention on Enterprise.

Why use Exa?

• Exa is optimized for AI applications rather than clicks and ads, so results are tuned for relevance to LLM workflows.
• Its semantic search and natural-language query handling help teams ask complex questions without brittle keyword logic.
• Low-latency search options under 180ms fit agent loops where slow retrieval breaks the user experience.
• Deep Search adds structured outputs and grounded citations, which makes multi-step research easier to trust and reuse.
• Enterprise options include zero data retention, custom indexes, and custom rate limits for stricter deployment needs.

Who is Exa for?

• AI product teams who need grounded web context for LLM features and agents.
• Developers building coding assistants who need current docs, repos, and changelogs.
• Research teams who need structured outputs and citations for complex queries.
• Operations teams who need recurring web monitoring and webhook-based updates.
• Data enrichment teams who need fresh company or people search results at scale.

What are Exa's key features?

What does Exa integrate with?

• HubSpot
• OpenAI
• Zapier
• n8n
• Make
• Gumloop
• Flowise
• Langflow
• Dify
• Google Sheets
• Lindy
• LangChain
• CrewAI
• LlamaIndex
• Pydantic AI
• Haystack
• IBM watsonx
• Mastra
• Langfuse
• Composio
• Arcade
• Groq
• Toolhouse
• LiveKit
• Cartesia
• ElevenLabs
• Clay
• Claude
• Cursor
• VS Code

What are Exa's use cases?

How does Exa work?

1. Choose the first search mode in the playground or API: Fast for quick retrieval, Deep for multi-step research, or AI Answer for cited responses. Start with a query and optional filters.
2. Add the web scope you need, then refine with Full Web, Code, or Read Any Webpage to pull the right sources. Use shows to inspect the most relevant passages quickly.
3. Request Structured Output when you need clean fields instead of raw text. Map results into your schema so downstream agents, apps, or analysts can consume them directly.
4. Connect Export or plug into your stack with tools like OpenAI, Zapier, LangChain, or Google Sheets. Send results into your existing workflow without rebuilding your pipeline.
5. Turn on Monitors for recurring searches and webhook delivery. Keep the same query running on a cadence so your team gets fresh updates as soon as new web events appear.

How much does Exa cost?

Frequently asked questions