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Exa is a search API built specifically to serve AI applications and autonomous agents, designed to return search results in a format that's directly useful for a language model to reason over, rather than the ranked list of links a traditional search engine returns for a human to click through and read manually themselves. Its search index and ranking approach is optimized around semantic and neural search techniques, letting a query expressed as a natural, descriptive sentence surface highly relevant results even when the exact keywords in the query don't literally appear in the target content, which matters more for AI agents that often generate more conversational, descriptive queries than the short keyword-based queries a human typically types into a traditional search box. Exa can return full page content directly alongside search results, rather than just a link and a short snippet, which saves an AI application from needing a separate web-scraping step just to get the actual content needed to answer a user's question. Its API supports different search modes tuned for specific use cases, such as finding similar content to a given URL, searching within a specific domain, or filtering by content recency, giving developers building research agents, competitive intelligence tools, or retrieval-augmented generation systems more precise control than a general-purpose search API typically offers. Exa is aimed at developers building AI products that need reliable, machine-readable web search as a core capability of an agent or application.