---

name: exa description: | Exa API integration with managed API key authentication. Perform neural web search, retrieve page contents, find similar pages, get AI-generated answers, and run async research tasks. Use this skill when users want to search the web, extract content from URLs, find similar websites, get research answers with citations, or run deep research tasks. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key. metadata: author: maton version: "1.0" clawdbot: emoji: 🧠 homepage: "https://maton.ai" requires: env: - MATON_API_KEY

Exa

Access the Exa API with managed API key authentication. Perform neural web searches, retrieve page contents, find similar pages, get AI-generated answers with citations, and run async research tasks.

Quick Start

# Search the web
python <<'EOF'
import urllib.request, os, json
data = json.dumps({"query": "latest AI research", "numResults": 5}).encode()
req = urllib.request.Request('https://gateway.maton.ai/exa/search', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

https://gateway.maton.ai/exa/{endpoint}

Replace {endpoint} with the Exa API endpoint (search, contents, findSimilar, answer, research/v1). The gateway proxies requests to api.exa.ai and automatically injects your API key.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

1. Sign in or create an account at maton.ai
2. Go to maton.ai/settings
3. Copy your API key

Connection Management

Manage your Exa API key connections at https://ctrl.maton.ai.

List Connections

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections?app=exa&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'exa', 'method': 'API_KEY'}).encode()
req = urllib.request.Request('https://ctrl.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Open the returned url in a browser to enter your Exa API key.

Get Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Delete Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Exa connections, specify which one to use with the Maton-Connection header:

python <<'EOF'
import urllib.request, os, json
data = json.dumps({"query": "AI news"}).encode()
req = urllib.request.Request('https://gateway.maton.ai/exa/search', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If omitted, the gateway uses the default (oldest) active connection.

API Reference

Search

Perform a neural web search with optional content extraction.

POST /exa/search
Content-Type: application/json

{
  "query": "latest AI research papers",
  "numResults": 10
}

Request Parameters:

Parameter	Type	Required	Description
query	string	Yes	Search query string
numResults	integer	No	Number of results (max 100, default 10)
type	string	No	Search type: neural, auto (default), keyword
category	string	No	Filter by category: company, research paper, news, tweet, personal site, financial report, people
includeDomains	array	No	Only include these domains
excludeDomains	array	No	Exclude these domains
startPublishedDate	string	No	ISO 8601 date filter (after)
endPublishedDate	string	No	ISO 8601 date filter (before)
contents	object	No	Content extraction options (see below)

Contents Options:

{
  "contents": {
    "text": true,
    "highlights": true,
    "summary": true
  }
}

Option	Type	Description
text	boolean/object	Extract full page text
highlights	boolean/object	Extract relevant snippets
summary	boolean/object	Generate AI summary

Response:

{
  "requestId": "abc123",
  "resolvedSearchType": "neural",
  "results": [
    {
      "id": "https://example.com/article",
      "title": "Article Title",
      "url": "https://example.com/article",
      "publishedDate": "2024-01-15T00:00:00.000Z",
      "author": "Author Name",
      "text": "Full page content...",
      "highlights": ["Relevant snippet 1", "Relevant snippet 2"],
      "summary": "AI-generated summary..."
    }
  ],
  "costDollars": {
    "total": 0.005
  }
}

Get Contents

Retrieve full page contents for specific URLs.

POST /exa/contents
Content-Type: application/json

{
  "ids": ["https://example.com/page1", "https://example.com/page2"],
  "text": true
}

Request Parameters:

Parameter	Type	Required	Description
ids	array	Yes	List of URLs to fetch content from
text	boolean	No	Include full page text
highlights	boolean/object	No	Include relevant snippets
summary	boolean/object	No	Generate AI summary

Response:

{
  "requestId": "abc123",
  "results": [
    {
      "id": "https://example.com/page1",
      "url": "https://example.com/page1",
      "title": "Page Title",
      "text": "Full page content..."
    }
  ]
}

Find Similar

Find pages similar to a given URL.

POST /exa/findSimilar
Content-Type: application/json

{
  "url": "https://example.com",
  "numResults": 10
}

Request Parameters:

Parameter	Type	Required	Description
url	string	Yes	URL to find similar pages for
numResults	integer	No	Number of results (max 100, default 10)
includeDomains	array	No	Only include these domains
excludeDomains	array	No	Exclude these domains
contents	object	No	Content extraction options

Response:

{
  "requestId": "abc123",
  "results": [
    {
      "id": "https://similar-site.com",
      "title": "Similar Site",
      "url": "https://similar-site.com",
      "score": 0.95
    }
  ],
  "costDollars": {
    "total": 0.005
  }
}

Answer

Get an AI-generated answer to a question with citations.

POST /exa/answer
Content-Type: application/json

{
  "query": "What is machine learning?",
  "text": true
}

Request Parameters:

Parameter	Type	Required	Description
query	string	Yes	Question to answer
text	boolean	No	Include source text in response

Response:

{
  "requestId": "abc123",
  "answer": "Machine learning is a subset of artificial intelligence...",
  "citations": [
    {
      "id": "https://example.com/ml-guide",
      "url": "https://example.com/ml-guide",
      "title": "Machine Learning Guide"
    }
  ]
}

Research Tasks

Run asynchronous research tasks that explore the web, gather sources, and synthesize findings with citations.

Create Research Task

POST /exa/research/v1
Content-Type: application/json

{
  "instructions": "What are the top AI companies and their main products?",
  "model": "exa-research"
}

Request Parameters:

Parameter	Type	Required	Description
instructions	string	Yes	What to research (max 4096 chars)
model	string	No	Model to use: exa-research-fast, exa-research (default), exa-research-pro
outputSchema	object	No	JSON Schema for structured output

Response:

{
  "researchId": "r_01abc123",
  "createdAt": 1772969504083,
  "model": "exa-research",
  "instructions": "What are the top AI companies...",
  "status": "running"
}

Get Research Task

GET /exa/research/v1/{researchId}

Query Parameters:

Parameter	Type	Description
events	string	Set to true to include event log
stream	string	Set to true for SSE streaming

Response (completed):

{
  "researchId": "r_01abc123",
  "status": "completed",
  "createdAt": 1772969504083,
  "finishedAt": 1772969520000,
  "model": "exa-research",
  "instructions": "What are the top AI companies...",
  "output": {
    "content": "Based on my research, the top AI companies are..."
  },
  "costDollars": {
    "total": 0.15,
    "numSearches": 5,
    "numPages": 20,
    "reasoningTokens": 1500
  }
}

Status values: pending, running, completed, canceled, failed

List Research Tasks

GET /exa/research/v1?limit=10

Query Parameters:

Parameter	Type	Description
limit	integer	Results per page (1-50, default 10)
cursor	string	Pagination cursor

Response:

{
  "data": [
    {
      "researchId": "r_01abc123",
      "status": "completed",
      "model": "exa-research",
      "instructions": "What are the top AI companies..."
    }
  ],
  "hasMore": false,
  "nextCursor": null
}

Code Examples

JavaScript

// Search with content extraction
const response = await fetch('https://gateway.maton.ai/exa/search', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.MATON_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    query: 'latest AI news',
    numResults: 5,
    contents: { text: true, highlights: true }
  })
});
const data = await response.json();

Python

import os
import requests

# Search with content extraction
response = requests.post(
    'https://gateway.maton.ai/exa/search',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'},
    json={
        'query': 'latest AI news',
        'numResults': 5,
        'contents': {'text': True, 'highlights': True}
    }
)
data = response.json()

Notes

• Search types: neural (semantic), auto (hybrid), keyword (traditional)
• Maximum 100 results per search request
• Content extraction (text, highlights, summary) incurs additional costs
• Categories like people and company have restricted filter support
• Timestamps are in ISO 8601 format
• IMPORTANT: When piping curl output to jq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments

Error Handling

Status	Meaning
400	Missing Exa connection or invalid request
401	Invalid or missing Maton API key
429	Rate limited
4xx/5xx	Passthrough error from Exa API

Resources

• Exa API Documentation
• Exa API Reference
• Exa Dashboard
• Maton Community
• Maton Support