Exa AI - 2025 Review, Features and Pricing

Try for free

Exa AI

Free: 1000 requests/month without time limits
Pay-as-you-go: from $0.0025 per request
Scale from $99/month - 100,000+ requests
Platforms: Web, API, Python SDK, TypeScript/JS SDK
Integrations: LangChain, LlamaIndex, CrewAI, Vercel AI SDK
Search Modes: Neural, Keyword, Auto

2022

Year Founded

Search Modes

10+

AI Framework Integrations

Search by meaning, not keywords

Exa AI is a next-generation search API built on neural embeddings. Unlike traditional search engines, it finds content based on the meaning of the query rather than keyword matching. Founded in 2022 as Metaphor Systems, it was renamed to Exa in 2024 following the launch of a full-fledged API product for developers of LLM applications, AI agents, and RAG systems.

Key fact: Exa returns not just links, but the full text of found pages via Contents API-without separate scraping. This fundamentally simplifies the architecture of LLM pipelines.

Key features of Exa AI

Neural Search - embedding-based search finds semantically close pages, even if the exact words of the query are absent.
Auto Search - mode automatically determines the optimal type of search (neural or keyword) for a specific query; recommended for most agent applications.
Contents API - returns full structured text of found pages (headlines, body, metadata) directly in the API response.
Highlights - instead of the full page text, the API gives only the most relevant snippets, saving tokens in LLM pipelines.
Find Similar - pass any site URL and get a list of semantically similar resources; indispensable for competitive analysis and dataset collection.
Livecrawl - real-time page parsing (without cache) for monitoring current news; priced at $0.005 per request.
Research Mode - multi-step queries for deep research: the system analyzes numerous sources and forms a detailed answer with quotes.

Advantages and disadvantages of Exa AI

Pros

Semantic search surpasses keywords
Contents API without separate scraping
Official support for LangChain, CrewAI
1000 free requests without a timer
Flexible filtering by domain, date, type
Active development and Discord community

Cons

No UI for non-technical users
Index smaller than Google and Bing
Livecrawl slower and more expensive than cache
Costs rise with high volumes

Exa AI rates and pricing

Free

$0/month

1000 API requests per month
Neural Search + Keyword Search
Contents API included
No time limit

Pay-as-you-go

from $0.0025/request

Neural/Keyword Search: $0.0025 per request
Contents: $1 per 1000 pages
Highlights: $1 per 1000 pages
Livecrawl: $0.005 per request

Scale

from $99/month

100,000+ requests per month
Reduced cost per request
Priority support
SLA guarantees

Enterprise

On request

Dedicated infrastructure
Custom search models
Dedicated Account Manager
Extended SLA

Exa AI vs competitors: what's the difference

The closest analogue is Tavily: also a search API for AI agents, often cheaper on basic queries, but surpasses Exa in neural search and lacks Find Similar. SerpAPI scrapes Google and Bing results-a wide reach, but the search is keyword-based without semantics; Exa builds its own neural index-a fundamentally different approach to relevance.

Perplexity AI - a ready product for end-users with a beautiful interface; Exa is an API-first tool with no user UI, but full control over queries and page content. Brave Search API emphasizes privacy and an independent index; Exa specializes in semantic search for LLM pipelines-different niches.

Lifehack: Use Auto mode instead of explicitly choosing Neural or Keyword-Exa will determine the optimal method itself and often give the best results without additional setup.

Use cases for Exa AI

AI agents with internet access

Connect Exa to an agent on LangChain or CrewAI-the agent will find up-to-date data before generating a response.

RAG with web sources

Contents API returns full page text as ready context for LLM-without separate scraper in the architecture.

Brand and news monitoring

Livecrawl + filtering by date finds recent mentions every few hours and forms an automatic digest.

Competitive analysis

Find Similar API by competitor's URL returns a list of similar services with full text for automatic data extraction.

Who is Exa AI suitable for

AI agent developers - need semantic search with full page content without self-scraping.
Data scientists and researchers - collecting thematic texts from required types of resources for training samples.
Analysts and PR teams - real-time brand mention monitoring and competitive intelligence.
AI-based startups - predictable pricing, good documentation, generous free tier for prototyping.

How to get started with Exa AI

1

Register - go to exa.ai, create an account via email or GitHub. It takes less than a minute.
2

Get an API key - generate a key in the Dashboard. Free plan is automatically activated: 1000 requests without time limits.
3

Install SDK - pip install exa-py for Python or npm install exa-js for TypeScript. First request-three lines of code.
4

Connect to framework - use ready integrations with LangChain, LlamaIndex, or Vercel AI SDK from official documentation; ready code examples are provided.
5

Choose a plan - switch to Pay-as-you-go or Scale from $99/month based on expected request volume when going to production.

Supported platforms and integrations

Frequently asked questions about Exa AI

Is Exa AI free?

Yes, the free plan includes 1000 API requests per month without time restriction-sufficient for developing and testing prototypes. Contents API and Highlights are included in the free tier.

How does Exa's neural search differ from regular search?

Traditional search looks for exact keyword matches, whereas neural search uses embeddings to search by meaning. Exa finds relevant pages even if the query's words don't appear explicitly.

How do I connect Exa to LangChain?

Install the langchain-exa package, pass the API key, and use ExaSearchRetriever as the agent tool. The official Exa documentation provides a ready code example in Python and TypeScript.

Does Exa AI support search in Russian?

Yes, Exa supports multilingual search, including Russian, Spanish, French, German, Chinese, and Japanese. Neural embeddings work cross-lingually.

Exa AI occupies a clear niche: it is a search API for developers who need semantic search with full page content in LLM pipelines. If you're building AI agents, RAG systems, or monitoring tools-start with the free plan on exa.ai and evaluate the quality of neural search on real queries.