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Exa

Exa is a web search API and AI research platform built specifically for LLMs and agents — semantic and keyword search across the open web with token-efficient highlights, structured outputs, sub-200ms latency tiers, and verticals for code, companies, news, people, research, and financials. The platform pairs the core Search, Contents, and Answer endpoints with Research (asynchronous deep research), Agent (managed multi-step agents at four effort modes), Monitors (scheduled searches with webhooks), and Websets (curated, enrichable result collections). Customers include Cognition (Devin), HubSpot, Monday, Databricks, AWS, and Cursor; Exa raised a $250M Series C to build the search engine for AIs. Open SDKs in Python and JavaScript, an MCP server, Google Sheets and n8n integrations, and a free tier of 1,000 requests/month round out the surface.

7 APIs 19 Features
AISearchWeb SearchNeural SearchLLMAgentsResearchWebsets

APIs

Exa Search API

Exa's prompt-engineered Search API performs semantic and keyword web search optimized for LLM and agent consumption. Returns a list of relevant results with URLs, titles, author...

Exa Research API

Asynchronous multi-step deep-research tasks. Submit a research instruction, Exa orchestrates a Deep Search agent across the live web with structured outputs and web-grounded cit...

Exa Monitors API

Schedule recurring Exa searches and receive webhook notifications when fresh matching content appears on the web. Supports create, list, get, update, delete, batch actions, manu...

Exa Agent API

Run an Exa-hosted research agent at four effort modes — low ($0.025), medium ($0.10), high ($0.50), and x-high ($2.00) — with built-in web search, content retrieval, structured ...

Exa Websets API

Curated, enrichable collections of web results scoped to a query, vertical (companies, people, news, research), or imported list. Compose searches, attach LLM-driven enrichments...

Exa Team API

Lightweight team-info endpoint at /v0/teams/me — returns the authenticated team identity and metadata for the API key.

Exa Team Management API

Admin API for managing API keys within a team — create, list, get, update, delete keys with optional per-key rate limits and budgets, plus a per-key usage endpoint at GET /api-k...

Features

Neural and keyword web search built specifically for LLMs and agents
Token-efficient highlights — claimed ~90% reduction in LLM context cost vs full page text
Latency tiers — fast (~180ms), auto (~1s), deep (~10s)
Verticals — Code, Companies, News, People, Research, Financials
Structured outputs with web-grounded citations
Contents API for full-page text, summaries, highlights, and subpages
Answer endpoint — LLM-grounded answers with sources, streaming optional
Research API — asynchronous deep-research tasks
Agent API — managed research agents with low/medium/high/x-high effort modes
Monitors API — scheduled searches with webhook notifications
Websets — curated, enrichable result collections with imports and webhooks
Webhooks for Webset events, enrichments, monitor runs, and agent runs
Team Management API with per-key rate limits, budgets, and usage reporting
Official SDKs in Python (exa-py) and JavaScript / TypeScript (exa-js)
Exa MCP server and Websets MCP server for agent tool integration
n8n node, Google Sheets extension, Zed editor extension
Free tier — 1,000 requests/month
Pay-as-you-go from $7 per 1,000 search requests; $1 per 1,000 content pages
$1,000 startup/education grant program

Semantic Vocabularies

Exa Ai Context

0 classes · 12 properties

JSON-LD

Resources

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Sources

Raw ↑
aid: exa-ai
url: https://raw.githubusercontent.com/api-evangelist/exa-ai/refs/heads/main/apis.yml
apis:
  - aid: exa-ai:exa-search-api
    name: Exa Search API
    tags:
      - AI
      - Search
      - Web Search
      - Neural Search
      - LLM
    humanURL: https://exa.ai/docs/reference/search-api-guide
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs/reference/search-api-guide
        type: Documentation
      - url: https://exa.ai/docs/reference/search
        type: Documentation
      - url: https://exa.ai/docs/reference/contents-api-guide
        type: Documentation
      - url: https://exa.ai/docs/reference/answer
        type: Documentation
      - url: openapi/exa-search-api-openapi.yml
        type: OpenAPI
      - url: json-schema/exa-search-result-schema.json
        type: JSONSchema
      - url: json-ld/exa-ai-context.jsonld
        type: JSONLD
    description: >-
      Exa's prompt-engineered Search API performs semantic and keyword web search optimized for LLM and agent
      consumption. Returns a list of relevant results with URLs, titles, authors, published dates, relevance scores, and
      optional token-efficient highlights, summaries, or full text via the bundled Contents API. The Answer endpoint
      returns an LLM-generated answer grounded in web citations. Verticals include Code, Companies, News, People,
      Research, and Financials. Latency tiers run from fast (180ms) to auto (~1s) to deep (~10s).
  - aid: exa-ai:exa-research-api
    name: Exa Research API
    tags:
      - AI
      - Search
      - Research
      - Agents
      - Deep Search
    humanURL: https://exa.ai/docs/reference/research/overview
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs/reference/research/overview
        type: Documentation
      - url: https://exa.ai/docs/reference/research/create-a-task
        type: Documentation
      - url: https://exa.ai/docs/reference/research/get-a-task
        type: Documentation
      - url: https://exa.ai/docs/reference/research/list-tasks
        type: Documentation
      - url: openapi/exa-research-api-openapi.yml
        type: OpenAPI
    description: >-
      Asynchronous multi-step deep-research tasks. Submit a research instruction, Exa orchestrates a Deep Search agent
      across the live web with structured outputs and web-grounded citations, and you poll for the completed report.
      Lives under /research/v1 with create, get, and list operations.
  - aid: exa-ai:exa-monitors-api
    name: Exa Monitors API
    tags:
      - AI
      - Search
      - Monitors
      - Webhooks
      - Scheduled
    humanURL: https://exa.ai/docs/reference/monitors-api-guide
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs/reference/monitors-api-guide
        type: Documentation
      - url: https://exa.ai/docs/reference/monitors/create-a-monitor
        type: Documentation
      - url: https://exa.ai/docs/reference/monitors/list-monitors
        type: Documentation
      - url: openapi/exa-monitors-api-openapi.yml
        type: OpenAPI
    description: >-
      Schedule recurring Exa searches and receive webhook notifications when fresh matching content appears on the web.
      Supports create, list, get, update, delete, batch actions, manual trigger, and run history. Two API versions are
      exposed — the original /monitors namespace and the newer /v0/monitors surface aligned with Websets.
  - aid: exa-ai:exa-agent-api
    name: Exa Agent API
    tags:
      - AI
      - Agents
      - Search
      - LLM
    humanURL: https://exa.ai/docs/reference/agent-api-guide
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs/reference/agent-api-guide
        type: Documentation
      - url: https://exa.ai/docs/reference/agent-api/create-a-run
        type: Documentation
      - url: https://exa.ai/docs/reference/agent-api/get-a-run
        type: Documentation
      - url: openapi/exa-agent-api-openapi.yml
        type: OpenAPI
    description: >-
      Run an Exa-hosted research agent at four effort modes — low ($0.025), medium ($0.10), high ($0.50), and x-high
      ($2.00) — with built-in web search, content retrieval, structured outputs, and event streaming. Create, list, get,
      cancel, delete, and stream events from runs under /agent/runs.
  - aid: exa-ai:exa-websets-api
    name: Exa Websets API
    tags:
      - AI
      - Search
      - Websets
      - Enrichment
      - Webhooks
      - Imports
    humanURL: https://exa.ai/docs/websets/api-guide
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs/websets/api-guide
        type: Documentation
      - url: https://exa.ai/docs/websets/api/overview
        type: Documentation
      - url: https://exa.ai/docs/websets/api/websets/create-a-webset
        type: Documentation
      - url: openapi/exa-websets-api-openapi.yml
        type: OpenAPI
      - url: json-schema/exa-webset-item-schema.json
        type: JSONSchema
    description: >-
      Curated, enrichable collections of web results scoped to a query, vertical (companies, people, news, research), or
      imported list. Compose searches, attach LLM-driven enrichments, evaluate items, subscribe to webhooks for
      asynchronous events, and import seed lists. Endpoints under /v0/websets, /v0/webhooks, /v0/events, and
      /v0/imports.
  - aid: exa-ai:exa-team-api
    name: Exa Team API
    tags:
      - AI
      - Search
      - Team
      - Account
    humanURL: https://exa.ai/docs
    baseURL: https://api.exa.ai
    properties:
      - url: https://exa.ai/docs
        type: Documentation
      - url: openapi/exa-team-api-openapi.yml
        type: OpenAPI
    description: >-
      Lightweight team-info endpoint at /v0/teams/me — returns the authenticated team identity and metadata for the API
      key.
  - aid: exa-ai:exa-team-management-api
    name: Exa Team Management API
    tags:
      - AI
      - Search
      - Administration
      - API Keys
      - Team Management
    humanURL: https://admin-api.exa.ai/team-management
    baseURL: https://admin-api.exa.ai/team-management
    properties:
      - url: https://exa.ai/docs
        type: Documentation
      - url: openapi/exa-team-management-api-openapi.yml
        type: OpenAPI
    description: >-
      Admin API for managing API keys within a team — create, list, get, update, delete keys with optional per-key rate
      limits and budgets, plus a per-key usage endpoint at GET /api-keys/{id}/usage. The foundation for per-workload
      cost allocation and FinOps reporting against Exa.
name: Exa
tags:
  - AI
  - Search
  - Web Search
  - Neural Search
  - LLM
  - Agents
  - Research
  - Websets
kind: contract
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/exa/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/exa-ai-answer-with-deep-sources-workflow.yml
        name: Exa Answer with Deep Sources
        summary: Get a cited answer to a question, then deep-fetch the top citation.
      - url: arazzo/exa-ai-create-and-poll-research-workflow.yml
        name: Exa Create and Poll Research
        summary: Kick off an Exa research task and poll until it completes, then read output.
      - url: arazzo/exa-ai-create-webset-and-list-items-workflow.yml
        name: Exa Create Webset and List Items
        summary: Create a Webset from a search, poll until it settles, then list its items.
      - url: arazzo/exa-ai-enrich-webset-and-poll-workflow.yml
        name: Exa Enrich Webset and Poll
        summary: Build a Webset, then add an enrichment column and poll until it completes.
      - url: arazzo/exa-ai-expand-webset-search-workflow.yml
        name: Exa Expand Webset Search
        summary: Build a Webset, add a follow-up search, and poll it to completion.
      - url: arazzo/exa-ai-find-similar-and-fetch-contents-workflow.yml
        name: Exa Find Similar and Fetch Contents
        summary: Find pages similar to a seed result, then fetch their full contents.
      - url: arazzo/exa-ai-preview-then-create-webset-workflow.yml
        name: Exa Preview then Create Webset
        summary: Preview how a query decomposes, then commit it to a real Webset.
      - url: arazzo/exa-ai-resume-latest-research-workflow.yml
        name: Exa Resume Latest Research
        summary: Find the most recent research task and poll it until it completes.
      - url: arazzo/exa-ai-scout-then-research-workflow.yml
        name: Exa Scout then Research
        summary: Scout sources with a quick search, then launch and poll a deep research task.
      - url: arazzo/exa-ai-search-and-fetch-contents-workflow.yml
        name: Exa Search and Fetch Contents
        summary: Run an Exa neural search and pull full page contents for the top result.
      - url: arazzo/exa-ai-webset-item-deep-contents-workflow.yml
        name: Exa Webset Item Deep Contents
        summary: Build a Webset, list its items, and deep-fetch the top item's contents.
  - type: Portal
    url: https://exa.ai
  - type: Documentation
    url: https://exa.ai/docs
  - type: GettingStarted
    url: https://exa.ai/docs/getting-started
  - type: Documentation
    url: https://exa.ai/docs/reference/search-api-guide
  - type: SignUp
    url: https://dashboard.exa.ai
  - type: Sandbox
    url: https://dashboard.exa.ai/playground
  - type: Pricing
    url: https://exa.ai/pricing
  - type: ChangeLog
    url: https://exa.ai/changelog
  - type: Blog
    url: https://exa.ai/blog
  - type: StatusPage
    url: https://status.exa.ai
  - type: TermsOfService
    url: https://exa.ai/terms
  - type: PrivacyPolicy
    url: https://exa.ai/privacy
  - type: Support
    url: https://exa.ai/contact
  - type: LinkedIn
    url: https://www.linkedin.com/company/exa-ai
  - type: GitHubOrganization
    url: https://github.com/exa-labs
  - type: SDK
    url: https://github.com/exa-labs/exa-py
    name: Python SDK
  - type: SDK
    url: https://github.com/exa-labs/exa-js
    name: JavaScript / TypeScript SDK
  - type: Tool
    url: https://github.com/exa-labs/exa-mcp-server
    name: Exa MCP Server
  - type: Tool
    url: https://github.com/exa-labs/websets-mcp-server
    name: Websets MCP Server
  - type: Tool
    url: https://github.com/exa-labs/zed-exa-mcp-extension
    name: Zed Exa MCP Extension
  - type: Tool
    url: https://github.com/exa-labs/exa-for-sheets
    name: Exa for Google Sheets
  - type: Tool
    url: https://github.com/exa-labs/n8n-integration
    name: Exa n8n Integration
  - type: CodeExamples
    url: https://github.com/exa-labs/exa-hallucination-detector
    name: Exa Hallucination Detector
  - type: CodeExamples
    url: https://github.com/exa-labs/company-researcher
    name: Company Researcher
  - type: CodeExamples
    url: https://github.com/exa-labs/exa-deepseek-chat
    name: Exa + DeepSeek R1 Chat
  - type: CodeExamples
    url: https://github.com/exa-labs/exa-o3mini-chat
    name: Exa + OpenAI o3-mini Chat
  - type: CodeExamples
    url: https://github.com/exa-labs/answer-chat-app
    name: Exa Answer Chat App
  - type: CodeExamples
    url: https://github.com/exa-labs/jfk-files-app
    name: JFK Files Chat
  - type: CodeExamples
    url: https://github.com/exa-labs/research-paper-app
    name: Research Paper App
  - type: CodeExamples
    url: https://github.com/exa-labs/websets-news-monitor
    name: Websets News Monitor
  - type: Authentication
    url: https://exa.ai/docs/getting-started/authentication
  - type: OpenAPI
    url: https://exa.ai/docs/exa-spec.json
  - type: OpenAPI
    url: https://exa.ai/docs/team-management-spec.yaml
  - url: plans/exa-ai-plans-pricing.yml
    type: Plans
  - url: rate-limits/exa-ai-rate-limits.yml
    type: RateLimits
  - url: finops/exa-ai-finops.yml
    type: FinOps
  - type: Features
    data:
      - Neural and keyword web search built specifically for LLMs and agents
      - Token-efficient highlights — claimed ~90% reduction in LLM context cost vs full page text
      - Latency tiers — fast (~180ms), auto (~1s), deep (~10s)
      - Verticals — Code, Companies, News, People, Research, Financials
      - Structured outputs with web-grounded citations
      - Contents API for full-page text, summaries, highlights, and subpages
      - Answer endpoint — LLM-grounded answers with sources, streaming optional
      - Research API — asynchronous deep-research tasks
      - Agent API — managed research agents with low/medium/high/x-high effort modes
      - Monitors API — scheduled searches with webhook notifications
      - Websets — curated, enrichable result collections with imports and webhooks
      - Webhooks for Webset events, enrichments, monitor runs, and agent runs
      - Team Management API with per-key rate limits, budgets, and usage reporting
      - Official SDKs in Python (exa-py) and JavaScript / TypeScript (exa-js)
      - Exa MCP server and Websets MCP server for agent tool integration
      - n8n node, Google Sheets extension, Zed editor extension
      - Free tier — 1,000 requests/month
      - Pay-as-you-go from $7 per 1,000 search requests; $1 per 1,000 content pages
      - $1,000 startup/education grant program
    sources:
      - https://exa.ai
      - https://exa.ai/pricing
      - https://exa.ai/docs/reference/search-api-guide
      - https://exa.ai/docs/websets/api-guide
      - https://exa.ai/docs/llms.txt
      - https://github.com/exa-labs
    updated: '2026-05-25'
created: '2026-05-25T00:00:00.000Z'
modified: '2026-05-25'
position: Consuming
description: >-
  Exa is a web search API and AI research platform built specifically for LLMs and agents — semantic and keyword search
  across the open web with token-efficient highlights, structured outputs, sub-200ms latency tiers, and verticals for
  code, companies, news, people, research, and financials. The platform pairs the core Search, Contents, and Answer
  endpoints with Research (asynchronous deep research), Agent (managed multi-step agents at four effort modes), Monitors
  (scheduled searches with webhooks), and Websets (curated, enrichable result collections). Customers include Cognition
  (Devin), HubSpot, Monday, Databricks, AWS, and Cursor; Exa raised a $250M Series C to build the search engine for AIs.
  Open SDKs in Python and JavaScript, an MCP server, Google Sheets and n8n integrations, and a free tier of 1,000
  requests/month round out the surface.
maintainers:
  - FN: Kin Lane
    email: info@apievangelist.com
    X: apievangelist
    url: https://apievangelist.com
specificationVersion: '0.16'