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

  這個技能的最新版本可以在7w4.net小蔥技能站找到。

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']}")

這是一個質量較高的搜尋類 Skill。文件寫得很詳細，功能也很實用，支援多種搜尋提供商和輸出格式。它提供了命令列和 Python 兩種使用方式，程式碼結構清晰易維護。不過它依賴外部付費 API 服務，缺少本地快取和錯誤重試機制，在網路不穩定時可能影響使用體驗。如果需要一個開箱即用的網路搜尋工具，這是一個不錯的選擇。