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NanoGPT Web Search

该 Skill 提供命令行与 Python 两种方式,经 NanoGPT API 调用 linkup、tavily、exa、kagi、perplexity、valyu、brave 等搜索提供商执行网页检索,支持深度、日期、域名过滤及最大结果数等参数,可输出搜索结果、带引用的综合答案或结构化数据,也可直接输出原始 JSON。

twolf01
twolf01
热度 87.46
最近更新 2026-05-11 17:26:48
分类:搜索依赖:代码执行 / 第三方 API应用场景:研究

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 nano-web-search
Metadata
name
nano-web-search
description
AI-powered web search via NanoGPT API with multiple providers (linkup, tavily, exa, kagi, perplexity, valyu, brave). Supports searchResults, sourcedAnswer, and structured output formats.
homepage
https://nano-gpt.com
metadata
{"clawdbot":{"requires":{"bins":["python3","curl"],"packages":["requests"],"env":["NANOGPT_API_KEY"]},"primaryEnv":"NANOGPT_API_KEY"}}

NanoGPT Web Search

AI-powered web search via NanoGPT API with multiple providers.

Requirements

  • python3 - For payload building and output formatting
  • curl - For HTTP requests
  • requests Python package - For Python API usage

Setup

Install the requests package:

pip install requests

Set your NanoGPT API key as an environment variable:

export NANOGPT_API_KEY="sk-nano-your-key-here"

Get your API key from nano-gpt.com.

Usage

# Basic search
./search.sh "your query"

# With specific provider
./search.sh "AI trends 2025" --provider tavily

# Deep search
./search.sh "quantum computing" --depth deep

# Search with date filter
./search.sh "climate news" --from-date 2025-01-01 --to-date 2025-02-18

# Sourced answer (synthesized response with citations)
./search.sh "what is RAG" --output-type sourcedAnswer

# JSON output (for scripting)
./search.sh "python tutorials" --json

Providers

  • linkup (default) - $0.006 standard, $0.06 deep
  • tavily - $0.008 standard, $0.016 deep
  • exa - $0.005 base + per-page
  • kagi - $0.002 web/news, $0.025 search
  • perplexity - $0.005 flat
  • valyu - ~$0.0015/result
  • brave - $0.005 flat

Options

  • --provider - Search provider (default: linkup)
  • --depth - Search depth: standard or deep
  • --output-type - Output format: searchResults, sourcedAnswer, structured
  • --from-date - Start date filter (YYYY-MM-DD)
  • --to-date - End date filter (YYYY-MM-DD)
  • --include-domains - Comma-separated domains to include
  • --exclude-domains - Comma-separated domains to exclude
  • --max-results - Max results (provider-specific)
  • --json - Output raw JSON

Python API

from search import NanoWebSearch

# Pass API key explicitly (recommended)
search = NanoWebSearch(api_key="sk-nano-your-key")

# Or use NANOGPT_API_KEY environment variable
search = NanoWebSearch()

results = search.search("AI trends", provider="tavily", depth="deep")
for r in results['data']:
    print(f"{r['title']}: {r['url']}")