What is Exa?

Exa is fundamentally a modern, AI-native search engine designed to serve as the backbone for intelligent applications, agents, and advanced research workflows. Unlike traditional search engines, Exa focuses on delivering high-quality, realtime, and structured web data directly via a robust suite of APIs. It combines the power of traditional search result retrieval (SERP API) with advanced website crawling tools and deep research endpoints, ensuring that developers and enterprises have access to the freshest, most accurate information available on the web.

This platform is engineered for performance and accuracy, often outperforming competitors on critical benchmarks across various search verticals like company, people, and code search. By providing a unified API for all web data needs—from simple lookups to complex, multi-page content extraction—Exa empowers the next generation of AI agents to operate with up-to-date context, leading to more reliable outputs and superior application performance.

Key Features

• Comprehensive API Suite: Offers five distinct endpoints: Search, Crawl, Answer, Research, and Websets, covering the full spectrum of web data requirements from a single integration point.
• Superior Search Accuracy: Proven to deliver best-in-class performance across challenging benchmarks (Company Search, People Search, Code Search Eval), ensuring high relevance and low hallucination rates for AI models.
• Websets for Complex Queries: A powerful search mode designed to handle highly complex queries, capable of finding and processing thousands of relevant results simultaneously.
• Advanced Crawling Capabilities: Allows users to retrieve all pages on a specified site and extract their full contents, ideal for building proprietary knowledge bases or performing deep site analysis.
• Natural Language Summarization (Answer Endpoint): Provides instant, natural language summaries based on the retrieved web results, saving time on manual synthesis.
• Deep Research Endpoint: Delivers in-depth research with structured output, perfect for generating detailed reports or feeding structured data into analytical models.
• Industry-Specific Optimization: Tailored data access for various sectors, including specialized indexing for Coding Agents (Stack Overflow, GitHub), Finance (historical market data), Recruiting (LinkedIn profiles), and Marketing (realtime trends).
• Granular Filtering: Extensive filtering options allow users to tailor searches precisely by domain, location, semantic category, phrase, and publication date, ensuring highly relevant results.
• Enterprise Readiness: Offers high-volume tiers with Service Level Agreements (SLAs), Data Processing Agreements (DPAs), and a commitment to Zero Data Retention for enhanced privacy and compliance.

How to Use Exa

Getting started with Exa involves integrating its powerful API into your application or research workflow. The process is streamlined for developers:

1. Access the API Dashboard: Sign up to gain access to your API keys and the management console.
2. Explore Documentation: Review the comprehensive API documentation, which details the structure and parameters for all five endpoints (Search, Crawl, Answer, Research, Websets).
3. Start with Search: Begin by utilizing the basic search endpoint (e.g., exa.search("space companies based in the US")) to retrieve a list of relevant results with content snippets.
4. Implement Advanced Workflows: For deeper needs, integrate the Crawl endpoint to pull full page content, or use the Answer endpoint to generate immediate summaries.
5. Leverage Websets for Scale: For complex, high-volume data gathering, utilize the Websets functionality to manage extensive queries across specific data subsets.
6. Utilize Filters: Fine-tune your requests using domain, category, or date filters to ensure the data returned perfectly matches your AI model's requirements.

Use Cases

1. Powering Autonomous AI Agents: Developers building agents that require real-time decision-making rely on Exa's low-latency, high-accuracy search to ground their responses in current web facts, preventing outdated information from compromising agent performance.
2. Financial Market Analysis: Investment firms use Exa to pull historical market movements, recent company news, and S&P 500 data from specific time periods. This data is used to train in-house market prediction models, seeking alpha based on timely web intelligence.
3. Recruiting and Talent Acquisition: HR technology platforms leverage Exa's specialized search capabilities across platforms like LinkedIn and public profiles to find the most relevant, up-to-date candidate profiles, ensuring recruiters are engaging with current professionals.
4. In-App Research and Productivity Tools: Companies like Notion integrate Exa's capabilities (Research Mode) to allow users to access and summarize the entire web directly within their productivity environment, enabling instant context gathering without switching applications.
5. Consulting and Industry Deep Dives: Large consulting firms use Websets to conduct instant, in-depth research, pulling highlights from thousands of relevant web pages, PDFs, and expert sources to quickly synthesize industry reports and identify key thought leaders.

FAQ

Q: How does Exa ensure data privacy and compliance for enterprise users? A: Exa offers enterprise-ready tiers that include comprehensive Data Processing Agreements (DPAs) and Service Level Agreements (SLAs). Crucially, Exa enforces Zero Data Retention policies, ensuring true privacy and compliance by not storing user query data.

Q: Can I filter search results based on my own proprietary data sources? A: While Exa indexes the public web, the platform allows extensive filtering over its index, including filtering by specific domains, categories, and phrases. For searching over your own subset of the web, you can use the Crawl endpoint to ingest specific sites into your own system, or leverage Websets for highly targeted public searches.

Q: What makes Exa's Code Search superior for developer tools? A: Exa's Code Search is trained specifically on high-accuracy code referencing from sources like Stack Overflow, coding documentation, and GitHub repositories. This specialized training minimizes hallucinations and ensures the returned code snippets and API references are accurate and immediately usable by developer tools.

Q: Is Exa suitable for high-volume, production-level applications? A: Yes. Exa is built for production use, offering high-capacity rate limits and enterprise features. The platform's performance is validated through open-source benchmark testing against major competitors, demonstrating high quality and low latency necessary for production environments.

Q: What is the difference between the Search and Websets endpoints? A: The standard Search endpoint returns a list of results and their contents for typical queries. Websets is Exa's most powerful mode, designed to handle highly complex, nuanced queries that require finding and processing thousands of results across a filtered subset of the web, often used for large-scale data extraction projects.