exa search

Advanced web search with precise date filtering and content type selection. Use when you need academic papers, GitHub repositories, research content, or specific date ranges. Handles neural search (semantic understanding), keyword search, and content type filtering (research papers, GitHub, news, PDFs). Perfect for research, competitive analysis, and content discovery.

Cloud skill by Claw0x — powered by Claw0x Gateway API.

Advanced web search with precise date filtering, content type selection, and neural search. Perfect for research, competitive analysis, and specialized content discovery.

Requires Claw0x API key. Sign up at claw0x.com to get your key.

Prerequisites

1. Sign up at claw0x.com
2. Create API key in Dashboard
3. Set environment variable:

   bash

   # Add to ~/.openclaw/.env
   CLAW0X_API_KEY=ck_live_...
   

Pricing

$0.005 per successful call. Failed calls are free.

• Pay only for successful responses (2xx status)
• No monthly fees, no subscriptions
• Get started with $5 free credit

Quick Reference

When This Happens	Do This	What You Get
Need academic papers from specific dates	Use category: "research paper" + date range	Filtered research results
Find GitHub projects from 2024	Use category: "github" + start_published_date: "2024-01-01"	Recent open-source projects
Semantic search for concepts	Use search_type: "neural"	Intent-based results
Exact keyword matching	Use search_type: "keyword"	Traditional search results

5-Minute Quickstart

Step 1: Get API Key (30 seconds)

Sign up at claw0x.com → Dashboard → Create API Key

Step 2: Set Environment Variable (30 seconds)

bash

export CLAW0X_API_KEY="ck_live_..."

Step 3: Install Skill (30 seconds)

bash

openclaw skills install exa-search

Step 4: Use Skill (1 minute)

typescript

const result = await agent.run('exa-search', {
  query: 'transformer architecture improvements',
  category: 'research paper',
  start_published_date: '2024-01-01',
  end_published_date: '2024-03-31',
  search_type: 'neural',
  num_results: 5
});

console.log(`Found ${result.result_count} papers`);
result.results.forEach(paper => {
  console.log(`${paper.title} (${paper.published_date})`);
});

Real-World Use Cases

Scenario 1: Academic Research

Problem: Find transformer papers from Q1 2024 Solution: Use precise date filtering + research paper category Example:

typescript

{
  query: "transformer architecture improvements",
  category: "research paper",
  start_published_date: "2024-01-01",
  end_published_date: "2024-03-31"
}

Scenario 2: GitHub Discovery

Problem: Find Rust web frameworks created in 2024 Solution: Use GitHub category + date filtering Example:

typescript

{
  query: "rust web framework",
  category: "github",
  start_published_date: "2024-01-01"
}

Scenario 3: Competitive Analysis

Problem: Find similar companies in AI agent space Solution: Use company category + domain exclusion Example:

typescript

{
  query: "AI agent platforms",
  category: "company",
  exclude_domains: ["competitor.com"]
}

Integration Recipes

OpenClaw Agent

typescript

import { Claw0xClient } from '@claw0x/sdk';

const claw0x = new Claw0xClient(process.env.CLAW0X_API_KEY);

const papers = await claw0x.call('exa-search', {
  query: 'large language model reasoning',
  category: 'research paper',
  start_published_date: '2024-01-01',
  search_type: 'neural'
});

LangChain Agent

python

from claw0x import Claw0xClient

client = Claw0xClient(api_key=os.environ['CLAW0X_API_KEY'])

repos = client.call('exa-search', {
    'query': 'rust web framework',
    'category': 'github',
    'start_published_date': '2024-01-01'
})

Custom Agent

javascript

const response = await fetch('https://api.claw0x.com/v1/call', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.CLAW0X_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    skill: 'exa-search',
    input: {
      query: 'AI regulation news',
      category: 'news',
      start_published_date: '2024-03-15',
      end_published_date: '2024-03-22'
    }
  })
});

Exa vs Tavily Comparison

Feature	Tavily	Exa
Date filtering	time_range (coarse)	start/end date (precise)
Search mode	basic/advanced (depth)	neural/keyword (algorithm)
Content types	general/news	7+ types (papers, GitHub, PDF)
AI answer	✅ Built-in	❌ Not available
Best for	Quick lookups, general info	Research, specialized content

Use Tavily when: You need a quick answer or general web search.

Use Exa when: You need precise dates, specific content types, or semantic search.

Why Use Via Claw0x?

• Unified billing: One API key for all skills
• Atomic pricing: Pay per call, not per month
• Zero cost on failure: Failed calls don't charge
• Production-ready: 99.9% uptime, <100ms latency
• Security scanned: OSV.dev integration
• No Exa API key needed: Claw0x handles upstream authentication

About Claw0x

Claw0x is the native skills layer for AI agents — providing unified API access, atomic billing, and quality control.

Explore more skills: claw0x.com/skills

GitHub: github.com/kennyzir/exa-search