unsearch（unsearch 搜索）

UnSearch Web Search Skill

Search the web, extract content, verify facts, and conduct deep research using the UnSearch API—an open-source Tavily/Exa alternative.

Quick Start

Set your API key:

export UNSEARCH_API_KEY="uns_your_api_key"

Get a free API key at https://unsearch.dev (5,000 queries/month free).

API Endpoints

Base URL: https://api.unsearch.dev/api/v1

All requests require header: X-API-Key: $UNSEARCH_API_KEY

1. Web Search

Search the web with optional content scraping.

curl -X POST "https://api.unsearch.dev/api/v1/search" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "your search query",
    "engines": ["google", "bing", "duckduckgo"],
    "max_results": 10,
    "scrape_content": true
  }'

Key Parameters

Response

{
  "results": [
    {
      "title": "Page Title",
      "url": "https://example.com",
      "snippet": "Search result snippet...",
      "scraped_content": {
        "text": "Full page content...",
        "word_count": 2500
      }
    }
  ],
  "processing_time_ms": 1500
}

2. Agent Search (Tavily-Compatible)

AI-optimized search with optional answer generation.

curl -X POST "https://api.unsearch.dev/api/v1/agent/search" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What is machine learning?",
    "include_answer": true,
    "max_results": 5,
    "search_depth": "basic"
  }'

Key Parameters

Response

{
  "query": "What is machine learning?",
  "answer": "Machine learning is a subset of AI...",
  "results": [
    {
      "title": "Machine Learning - Wikipedia",
      "url": "https://en.wikipedia.org/wiki/Machine_learning",
      "content": "Machine learning is a branch of AI...",
      "score": 0.95
    }
  ],
  "response_time": 1.25
}

3. Content Extraction

Extract content from specific URLs.

curl -X POST "https://api.unsearch.dev/api/v1/agent/extract" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "urls": ["https://example.com/article"],
    "extract_depth": "basic"
  }'

Response

{
  "results": [
    {
      "url": "https://example.com/article",
      "raw_content": "Full article text...",
      "failed": false
    }
  ]
}

4. Deep Research

Multi-source research with AI synthesis.

curl -X POST "https://api.unsearch.dev/api/v1/agent/research" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "Impact of AI on healthcare",
    "depth": "deep",
    "max_sources": 15,
    "include_analysis": true
  }'

Depth Levels

Response

{
  "executive_summary": "AI is transforming healthcare...",
  "key_findings": ["AI diagnostics show 95% accuracy..."],
  "sources": [...],
  "model_used": "qwq-32b"
}

5. Fact Verification

Verify claims against multiple sources.

curl -X POST "https://api.unsearch.dev/api/v1/verify/claim" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "claim": "GPT-4 was released in March 2023",
    "depth": "thorough"
  }'

Response

{
  "verdict": "true",
  "confidence": 95,
  "summary": "GPT-4 was released March 14, 2023.",
  "supporting_evidence": [...],
  "sources_checked": 12
}

Verdict values: true, false, partially_true, misleading, unverifiable

Python Examples

import httpx
import os

API_KEY = os.environ["UNSEARCH_API_KEY"]
BASE_URL = "https://api.unsearch.dev/api/v1"

async def search(query: str, scrape: bool = False):
    async with httpx.AsyncClient() as client:
        response = await client.post(
            f"{BASE_URL}/search",
            headers={"X-API-Key": API_KEY},
            json={
                "query": query,
                "max_results": 10,
                "scrape_content": scrape
            }
        )
        return response.json()

async def agent_search(query: str, include_answer: bool = True):
    async with httpx.AsyncClient() as client:
        response = await client.post(
            f"{BASE_URL}/agent/search",
            headers={"X-API-Key": API_KEY},
            json={
                "query": query,
                "include_answer": include_answer,
                "max_results": 5
            }
        )
        return response.json()

async def extract_urls(urls: list[str]):
    async with httpx.AsyncClient() as client:
        response = await client.post(
            f"{BASE_URL}/agent/extract",
            headers={"X-API-Key": API_KEY},
            json={"urls": urls}
        )
        return response.json()

JavaScript Examples

const API_KEY = process.env.UNSEARCH_API_KEY;
const BASE_URL = "https://api.unsearch.dev/api/v1";

async function search(query, scrapeContent = false) {
  const response = await fetch(`${BASE_URL}/search`, {
    method: "POST",
    headers: {
      "X-API-Key": API_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      query,
      max_results: 10,
      scrape_content: scrapeContent
    })
  });
  return response.json();
}

async function agentSearch(query, includeAnswer = true) {
  const response = await fetch(`${BASE_URL}/agent/search`, {
    method: "POST",
    headers: {
      "X-API-Key": API_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      query,
      include_answer: includeAnswer,
      max_results: 5
    })
  });
  return response.json();
}

Rate Limits

Rate limit headers in response:

• X-RateLimit-Remaining: Requests left
• X-RateLimit-Reset: Reset timestamp

Privacy Mode

For sensitive queries, enable zero-retention:

curl -X POST "https://api.unsearch.dev/api/v1/search" \
  -H "X-API-Key: $UNSEARCH_API_KEY" \
  -H "X-Zero-Retention: true" \
  -H "Content-Type: application/json" \
  -d '{"query": "sensitive query"}'

Error Handling

Additional Resources

• Documentation: https://docs.unsearch.dev
• API Reference: https://docs.unsearch.dev/api
• Self-hosting: https://github.com/unsearch-org/unsearch
• Get API Key: https://unsearch.dev