Tavily Web Search
Real-time web search using Tavily API optimized for AI agents. Use when you need current information, recent news, factual research, competitive analysis, or...
Real-time web search using Tavily API optimized for AI agents. Use when you need current information, recent news, factual research, competitive analysis, or...
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
Web search powered by Tavily API, optimized for AI agent consumption with structured, relevant results.
Basic search (5 results):
python3 scripts/search.py "your query here"
With options:
# Fewer results python3 scripts/search.py "AI agents" --max-results 3AI-generated answer
python3 scripts/search.py "what is OpenClaw" --answer
Advanced search (deeper crawling)
python3 scripts/search.py "casino bonuses" --depth advanced
Include images
python3 scripts/search.py "WordPress themes" --images
Raw JSON output
python3 scripts/search.py "n8n automation" --json
--max-results N: Number of results (1-10, default 5)--depth: Search depth
basic (default): Fast, good for most queriesadvanced: Deeper crawling, more comprehensive--answer: Include AI-generated answer summary--images: Include relevant image URLs--json: Output raw JSON instead of formatted textFormatted output includes:
JSON output provides full Tavily API response for programmatic use.
The script looks for the Tavily API key in:
workspace/secrets/tavily_api_key (OpenClaw workspace)secrets/tavily_api_key (relative to current directory)TAVILY_API_KEY environment variableCurrent key is stored at:
workspace/secrets/tavily_api_key
Research task:
python3 scripts/search.py "WordPress plugin security best practices 2026" --max-results 5 --answer
Quick fact check:
python3 scripts/search.py "OpenClaw GitHub repository" --max-results 3
Competitive analysis:
python3 scripts/search.py "top casino affiliate sites" --depth advanced --max-results 10
News monitoring:
python3 scripts/search.py "AI agent frameworks January 2026" --answer
--answer is useful for summarization tasks--depth advanced for comprehensive research (uses more API credits)--json output is useful for parsing and processing results programmaticallyNo automatic installation available. Please visit the source repository for installation instructions.
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