What is Exa AI?
Exa separates problem-oriented web search from page content retrieval into distinct interfaces. Search is used to discover relevant web pages, while Contents handles links that are already known; applications can pass the titles, URLs, and content snippets of search results to downstream models or business logic, thereby reducing the steps required to manually open and organize web pages.
When you need to explore a question further, you can choose Deep Search or use the Agent API, which is designed for longer research projects, list-building, and information‑supplementation tasks. The official website also offers structured results and relevant content snippets, making it ideal for converting retrieved web pages into data that applications can continue to process.
Access can be initiated from the official console and the developer quick start guide, with options for Python, JavaScript SDK, or HTTP requests. Existing agent clients can also view Exa MCP integration. The choice of interface should depend on whether a URL is already known, whether further investigation is needed, and the desired output format; any facts cited from web pages should still be verified against the original links.
Key features
Search: Find relevant web pages around the query and retrieve usable content.
Contents: Extract content from a specified web page link.
Deep Search and Agent: Support for advanced searching and longer research-oriented workflows.
Content fragments and structured results: facilitate further processing by downstream models and programs.
Developer Integration: Provides guidance on Python, JavaScript, HTTP, and MCP.
Use cases and audience
For developers and teams integrating web-based data into AI assistants, retrieval-augmented applications, research workflows, and information organization processes.
- Supplement recent online resources for AI Q&A and agents.
- Extract relevant text from known websites and organize it as material for subsequent processing.
- Organize searches and information supplementation around research questions or company lists.
Search for questions or keywords, known web page links, as well as the content and result settings supported by the API.
Relevant webpages, titles and links, extracted page content or snippets, as well as the structured results supported by the selected research interface.
How to use
- 01
Read the official quick start guide to access the console and prepare for API integration; the agent client can alternatively follow MCP guidance.
- 02
Select Search, Contents, Deep Search, or Agent according to the task.
- 03
Submit a query or URL to examine the returned source links, content snippets, and result structure.
- 04
Integrate the verified data into your own application and manage requests according to actual usage and the official billing guidelines.
Benefits and limitations
Benefits
- Retrieval, web content, and research interfaces can be combined separately within workflows.
Limitations
- API integration requires handling account management, API authentication, and corresponding usage metering.
- The search results are from external webpages; facts and citations still need to be verified.
Official website & sources
Updated on 2026-10-23
