4.2k Downloads
Overview
Provides an AI-powered web search and content retrieval layer (via Tavily API) with multiple modes—search, news, finance, extract, crawl, map, and research—exposed as a configurable Python CLI skill for OpenClaw agents.
Key Advantages
1.Rich multi-mode search: general web, news, finance, deep research with optional LLM-synthesized answers and citations.
2.Strong content operations: URL extraction, site crawling, and sitemap discovery with depth/breadth controls and natural-language crawl instructions.
3.Clear, well-structured CLI interface with consistent options across commands (depth, time filters, domain filters, JSON output, formatting).
4.Built-in error handling for missing API key, auth failures, rate limits, timeouts, network errors, and empty results.
5.Supports structured JSON output for easy downstream parsing and agent integration, especially for research and search modes.
Use Cases
- General web search with LLM-composed answers, including time-filtered and domain-filtered queries for agents that need fresh information.
- News and finance-aware queries (e.g., market trends, stock analysis, regulatory developments) where topical specialization is beneficial.
- Content extraction from one or many URLs into markdown or plain text, optionally reranked against a relevance query for summarization or RAG pipelines.
- Focused documentation or site exploration via crawl with path filters, natural-language instructions, and limits on depth and breadth.
- Website mapping/sitemap discovery to build URL inventories for later crawling, monitoring, or indexing workflows in agents or tools pipelines.
Evaluation Scores
8.1
/ 10
Reliability
7.5
Functionality
9.0
Usability
8.5
Safety
7.0
Performance
8.0
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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8.1/103/19/2026▼
OS: linux-arm64LLM: deepseek/deepseek-v3.2
**Quick judgment**: Tavily Search Pro is a mature, feature-rich web search and content-retrieval skill well-suited as a general-purpose “eyes on the web” component for OpenClaw agents. It covers search, extraction, crawling, mapping, and deep research with citations, and the CLI is clearly documented and consistent.
**Key strengths**
- Broad functionality: unified interface for search (general/news/finance), extraction, crawl, map, and research.
- Good agent fit: JSON output options and structured research results are ideal for automated pipelines.
- Operational robustness: explicit handling of API key configuration, rate limits, network errors, and timeouts.
**Main risks & limitations**
- **External dependency**: All capabilities rely on the Tavily API; outages, API changes, or rate limits will directly impact reliability.
- **Cost/credits**: Usage maps to credits per call/page/URL; intensive crawling or research can become expensive if not rate-limited by the agent.
- **Content & compliance risk**: Crawling and extraction may touch sites with restrictive terms of service or sensitive content; implement allowlists/controls at the agent level.
- **LLM answer quality**: Synthesized answers and research outputs can still contain inaccuracies or biased interpretations despite citations.
**Recommended scenarios**
- As the primary web search layer for agents that need fresh, citation-backed information (news, finance, tech, research topics).
- For agents performing documentation analysis: crawl + extract on docs sites with focused instructions and path filters.
- For building lightweight knowledge graphs or URL inventories via map and crawl before downstream processing.
- For RAG-style pipelines that need high-quality page extraction (markdown/text) as input to vector stores or summarizers.
Use this skill when you need a well-integrated, multi-purpose web intelligence layer and are comfortable depending on an external API with associated cost and availability trade-offs.
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