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exa search

这是需Claw0x API密钥的高级网页搜索工具,核心功能含神经/关键词双搜索模式,支持精确日期范围筛选,可指定研究论文、GitHub、新闻等7+内容类型。典型用于学术研究、GitHub项目发现、竞品分析等场景。输入含查询词、分类、日期等参数的请求,输出对应筛选后的精准结果。按成功调用计费($0.005/次),无月费,提供$5免费额度。

kennyzir
kennyzir
热度 45.60
最近更新 2026-05-11 17:36:54
分类:搜索依赖:第三方 API应用场景:研究 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add exa-search-pro
Metadata
name
Exa Search
description
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.
metadata
{"requires":{"env":["CLAW0X_API_KEY"]}}

Exa Search

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:
    # 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)

export CLAW0X_API_KEY="ck_live_..."

Step 3: Install Skill (30 seconds)

openclaw skills install exa-search

Step 4: Use Skill (1 minute)

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:

{
  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:

{
  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:

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

Integration Recipes

OpenClaw Agent

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

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

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