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AI SearchđŸŸĸNo Code
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Metaphor

AI-native search engine and API (formerly Metaphor, now Exa) that finds content through semantic understanding rather than keyword matching.

Starting at$1 per 1,000 searches (free tier available)
Visit Metaphor →
💡

In Plain English

AI-native search engine and API (formerly Metaphor, now Exa) that finds content through semantic understanding rather than keyword matching.

OverviewFeaturesPricingUse CasesLimitationsFAQSecurityAlternatives

Overview

Metaphor, now rebranded as Exa, is a modern AI-powered search engine and API platform designed to give developers and AI agents access to high-quality web search, content extraction, and structured data retrieval. Unlike traditional search engines that rely on keyword matching, Exa uses neural network-based semantic understanding to find content based on meaning, context, and conceptual similarity. The platform maintains a massive web index of over 70 million companies and dedicated high-quality indexes for specific verticals including people, code documentation, financial data, and news, making it particularly powerful for enrichment and research workflows.

Exa is built primarily as a developer-first API platform, offering products including Search, Contents, Answer, and Websets. The Search API delivers results in under 180 milliseconds, making it suitable for powering real-time AI agent workflows. Its structured output capability allows developers to extract specific data fields from search results, enabling complex enrichment pipelines. The Highlights feature intelligently extracts the most relevant excerpts from web pages, helping reduce token budgets and LLM costs by over 50 percent when feeding results into language models.

The platform is trusted by leading AI companies including OpenRouter, Databricks, Flatfile, StackAI, and Anara for use cases ranging from powering coding agents to scientific research workflows. Exa offers enterprise-grade security with SOC 2 Type II certification, Zero Data Retention options for privacy-sensitive deployments, and Single Sign-On for team management. Whether you are building an AI agent that needs real-time web context, conducting deep research across the web, or assembling structured datasets from unstructured sources, Exa provides the infrastructure to do so programmatically at scale.

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Editorial Review

Highly regarded for its fast, developer-friendly semantic search API. Users praise the sub-200ms latency, structured output capabilities, and dedicated vertical indexes. Particularly valued by AI agent builders and RAG pipeline developers for token-efficient content extraction. Some users note usage-based costs can scale quickly for high-volume workloads.

Key Features

Search API with Structured Outputs+

Exa's Search API returns results in under 180ms and supports structured output extraction, allowing developers to define JSON schemas and receive clean, typed data directly from search results. This enables complex enrichment workflows — such as extracting company names, CEO names, and founding years — from Exa's database of over 70 million companies without additional scraping or parsing steps.

Token-Efficient Highlights+

The Highlights feature extracts the most query-relevant excerpts from web pages, reducing the amount of text that needs to be sent to language models by over 50%. This is critical for AI agent and RAG pipeline builders who need to balance context quality with token costs, ensuring LLMs receive focused, relevant information rather than entire web pages.

Dedicated Vertical Web Indexes+

Exa maintains industry-leading, curated web indexes for specific use cases including people, companies, code documentation, financial data, and news. These specialized indexes provide higher quality and more relevant results than general-purpose search for domain-specific queries, making them ideal for vertical AI applications and targeted research workflows.

Websets for Dataset Assembly+

Websets allows users to programmatically build structured, filtered collections of entities from web data based on defined criteria. This product turns Exa's search capabilities into a dataset assembly tool, useful for lead generation, competitive intelligence, market mapping, and creating curated training data at scale without manual research.

Enterprise Security and Compliance+

Exa provides SOC 2 Type II certified infrastructure with customizable Zero Data Retention policies that ensure queries and results are automatically purged according to organizational requirements. Combined with Single Sign-On team management, these features make Exa suitable for compliance-sensitive deployments in healthcare, finance, and government-adjacent industries.

Pricing Plans

Free

$0/month

  • ✓1,000 searches per month
  • ✓Basic Search and Contents API access
  • ✓Community support

Basic

From $1 per 1,000 searches

  • ✓Pay-as-you-go usage-based pricing
  • ✓Search, Contents, and Highlights APIs
  • ✓Standard rate limits
  • ✓Email support

Pro

Usage-based with volume discounts

  • ✓Higher rate limits
  • ✓Websets access
  • ✓Structured output extraction
  • ✓Priority support

Enterprise

Custom pricing

  • ✓SOC 2 Type II compliance
  • ✓Zero Data Retention (ZDR)
  • ✓Single Sign-On (SSO)
  • ✓Dedicated account manager
  • ✓Custom SLAs and rate limits
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Metaphor?

View Pricing Options →

Best Use Cases

đŸŽ¯

Powering AI coding agents with real-time web search to find up-to-date documentation, code examples, and API references at sub-200ms latency

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Building company enrichment pipelines that extract structured data (CEO names, founding dates, industry classifications) from Exa's 70M+ company database

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Scientific and academic research workflows that need to find relevant papers and sources across the web with semantic understanding rather than exact keyword matching

🚀

Developing RAG applications that use Highlights to feed only the most relevant web content excerpts to LLMs, cutting token costs by half

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Lead generation and market intelligence by using Websets to build curated lists of companies or people matching specific criteria

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Grounding AI agent responses in real-world facts by integrating Exa's search API to provide current web context and reduce hallucinations

Integration Ecosystem

NaN integrations

Metaphor works with these platforms and services:

View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Metaphor doesn't handle well:

  • ⚠No standalone consumer search product — primarily designed as an API and developer tool, requiring technical integration
  • ⚠Structured output extraction is limited to Exa's pre-built indexes (companies, people, code docs, financial data, news) and may not cover all domains equally
  • ⚠Free tier has limited query volume; production-scale usage requires paid plans that scale with consumption
  • ⚠Search index, while extensive, is not as comprehensive as Google's for highly obscure or recently published content
  • ⚠Real-time indexing speed may vary — newly published content may not appear in results immediately depending on the source and vertical

Pros & Cons

✓ Pros

  • ✓Extremely low latency search API (under 180ms) suitable for real-time AI agent workflows
  • ✓Structured output extraction from a database of 70M+ companies enables complex enrichment pipelines without manual parsing
  • ✓Highlights feature reduces LLM token costs by over 50% by extracting only the most relevant page excerpts
  • ✓Dedicated high-quality web indexes for specific verticals (people, companies, code docs, financial data, news) improve result relevance
  • ✓Enterprise-grade security with SOC 2 Type II certification, Zero Data Retention, and SSO for compliance-sensitive organizations
  • ✓Flexible developer tooling including MCP Server, prompt builder, GitHub integration, and comprehensive API documentation

✗ Cons

  • ✗Primarily an API product — no full-featured consumer search interface for non-technical users
  • ✗Rebranding from Metaphor to Exa may cause confusion when searching for documentation or community resources under the old name
  • ✗Pricing is usage-based and can become expensive at scale for high-volume query workloads
  • ✗Web index, while large, may not match the breadth of coverage of established search engines like Google for long-tail or niche content
  • ✗Structured output and specialized indexes are limited to supported categories — custom verticals may require workarounds

Frequently Asked Questions

Is Metaphor the same as Exa?+

Yes, Metaphor rebranded to Exa (Exa Labs Inc.). The core technology remains the same — an AI-native search engine built on neural networks for semantic understanding. The rebrand reflects the company's expanded focus beyond search into structured data extraction, web crawling, and a full suite of API products including Search, Contents, Answer, and Websets. Existing Metaphor API users were migrated to the Exa platform.

How does Exa's search API differ from Google's search API?+

Exa's search API is built specifically for AI agents and programmatic use cases, delivering results in under 180 milliseconds with built-in features like structured output extraction, semantic highlights, and dedicated vertical indexes for companies, people, and code documentation. Unlike Google's Custom Search API, which mirrors traditional keyword-based web search, Exa understands meaning and context, enabling queries based on conceptual similarity rather than exact keyword matches. Exa also provides token-efficient content extraction optimized for feeding results into large language models.

What are Websets and how do they work?+

Websets is one of Exa's core products that enables users to build curated, structured datasets from web search results. Rather than returning a simple list of links, Websets allows you to define criteria and automatically assemble collections of entities (such as companies, people, or resources) that match your specifications. This is particularly useful for lead generation, market research, competitive analysis, and building training datasets where you need structured, filtered data at scale.

Is Exa suitable for enterprise use?+

Yes, Exa offers enterprise-grade security and compliance features including SOC 2 Type II certification, customizable Zero Data Retention (ZDR) policies that automatically purge queries and data based on your requirements, and Single Sign-On for team authentication and authorization management. Companies like Databricks, OpenRouter, and Flatfile use Exa in production. Enterprise customers can contact the sales team for custom pricing, dedicated support, and tailored deployment configurations.

How does the Highlights feature help reduce AI costs?+

Exa's Highlights feature intelligently extracts the most relevant excerpts from web pages based on your specific query, rather than returning entire page contents. This can reduce token budgets and LLM costs by over 50% because you only send the most pertinent text to your language model instead of full documents. This is especially valuable when building AI agents or RAG (Retrieval-Augmented Generation) pipelines where every token sent to an LLM has a direct cost impact and where irrelevant context can degrade response quality.

🔒 Security & Compliance

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SOC2
Unknown
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GDPR
Unknown
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HIPAA
Unknown
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SSO
Yes
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Self-Hosted
Unknown
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On-Prem
Unknown
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RBAC
Unknown
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Audit Log
Unknown
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API Key Auth
Unknown
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Open Source
Unknown
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Encryption at Rest
Unknown
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Encryption in Transit
Unknown
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What's New in 2026

Exa has launched Websets as a new core product for building structured datasets from web search results. The platform now features structured output capabilities for extracting typed JSON data directly from search, dedicated vertical indexes covering 70M+ companies, and an MCP Server for integration with AI coding tools. Enterprise security features including SOC 2 Type II certification and Zero Data Retention have been added for compliance-sensitive deployments.

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Quick Info

Category

AI Search

Website

metaphor.systems
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