Exa is a search API for AI applications that helps developers retrieve relevant web pages and context for LLM workflows.

Exa is best for developers building answer engines, research agents, enrichment tools, and search based AI products.

How is Exa different from normal search?

Exa is built for AI workflows, where semantic relevance and programmatic retrieval matter more than a consumer search results page.

Can Exa be used for RAG?

Yes. Exa can help retrieve web context that can be passed into RAG systems or LLM applications.

Does Exa crawl entire websites?

Exa focuses on search and retrieval. Teams may still use dedicated crawling tools for full website extraction.

Is Exa only for developers?

Yes, it is mainly a developer API rather than a standalone consumer research app.

Exa

AI search API for agents, chatbots, deep research, and web data retrieval.

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What is Exa?

TL;DR

Exa is an AI search API for agents and LLM applications that provides semantic web search, content retrieval, deep research, monitoring, and enrichment workflows for current information and production AI products.

Search API designed for AI applications and agents
Retrieve webpage contents, highlights, and citations
Supports deep research, monitors, and enrichment workflows

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About

Exa is an AI search API built for developers who need high-quality web context inside AI applications. It provides search, content retrieval, deep research, monitoring, and enrichment capabilities that help agents and chatbots access current information from the web. Unlike a general consumer search engine, Exa is designed as infrastructure for AI products. Developers can use it to ground model responses, retrieve relevant documentation, search company or people data, power research agents, monitor the web for changes, and feed clean context into LLM workflows. The platform is especially useful for SaaS founders building coding agents, AI research tools, sales intelligence products, support assistants, market monitoring systems, and RAG pipelines that need live web data. Exa also offers endpoint-level pricing for search, contents, deep search, monitors, and agent runs, making it flexible for different product designs. For FutureStack, Exa is a tier-one developer tool because web search is becoming a core primitive for AI agents. It helps builders add real-time knowledge and retrieval to their products without building a search engine, crawler, and ranking system from scratch.

Use Cases

AI Web Search

Search the live web for relevant information and return context that can be passed into LLM workflows.

Research Agents

Build agents that search, retrieve, and synthesize current web information across multiple sources.

Company Research

Find company, people, and market information for sales intelligence, research, and enrichment workflows.

Web Monitoring

Monitor topics and sources for changes that can trigger downstream AI analysis or alerts.

Key Features

Search API designed for AI applications and agents
Retrieve webpage contents, highlights, and citations
Supports deep research, monitors, and enrichment workflows
Useful for coding agents, chatbots, and company search

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