Exa builds a neural, ad-free web search for AI—usage-based Web Search API and Websets delivering semantic results, full-page extraction, customizable privacy, and high-volume SLAs.

Enables complex, multi-step web searches for agentic workflows that require iteration, query expansion, and rich context retrieval. Supports deep research tasks with configurations like type="deep" for superior performance on benchmarks such as FRAMES (96%) and MultiLoKo (89%), delivering comprehensive results despite higher latency of 4000-6000ms.

Provides real-time web search and content retrieval capabilities for AI applications, enabling access to a continuously updated index of web content through natural language queries and neural search technology. Supports web crawling, content scraping, similarity search, and filtering by domain, date, or category to deliver structured data like links, summaries, or highlights.

Token-efficient webpage contents is an Exa API feature that provides cleaned, structured web page text optimized for low token usage in AI applications.

Provides AI-powered web search capabilities that deliver relevant, real-time results beyond traditional keyword matching, using semantic understanding and neural search to retrieve content from indexed webpages, PDFs, and niche sources. Supports customizable filters for domains, dates, and categories, along with content extraction, highlights, and API integration for structured data retrieval.

Provides real-time web search capabilities using AI to retrieve relevant content from a continuously updated index, combining neural and keyword-based methods for handling complex natural language queries. Supports filtering by domain, date, location, and semantic category, along with content extraction and structured data retrieval for integration into AI workflows.