Exa Features

Exa is an AI-powered knowledge API that retrieves high-quality, real-time data from the web to complement AI applications with semantic search capabilities.
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Key Features of Exa

Exa is an AI-powered search engine that uses advanced embedding and transformer technology to understand query semantics and retrieve highly relevant web content. It offers features like semantic search, content scraping, similarity search, and powerful filters to provide up-to-date information from across the web. Exa is designed specifically for AI applications and developers to access organized web knowledge through an API.
Semantic Search: Uses embedding search to understand semantic meaning beyond just keywords
Content Scraping: Ability to scrape full, cleaned content from any webpage
Similarity Search: Find similar results using a URL or long text input
Large Result Sets: Can return up to 1 million results for comprehensive data gathering
Real-time Updates: Crawls new URLs every minute to provide up-to-date information
Powerful Filters: Search over specific domains, date ranges, or data categories

Use Cases of Exa

AI Research Assistant: Power AI agents to gather comprehensive, up-to-date information on any topic
Sales Intelligence: Feed deep research AI to help sales teams research prospects and leads
Legal AI Applications: Retrieve relevant legal information and precedents for AI-powered legal tools
Content Generation: Provide real-time data to AI content generation tools for accuracy
Academic Research: Gather comprehensive sources and data for AI-assisted academic research

Pros

Provides highly relevant results by understanding query semantics
Offers up-to-date information with real-time crawling
Designed specifically for AI applications with developer-friendly API

Cons

Requires technical integration and API key for use
May have limitations compared to established search engines in some areas

Exa Monthly Traffic Trends

Exa experienced a 9.1% decline in traffic, with 205,711 visits. Despite significant funding and the launch of Websets, the decline may be due to the slow search results and the intense competition from established players like Google and OpenAI.

View history traffic

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