609. OpenClaw Search Skill - Web Search

O Skills Marketplace

Basic Information

ItemDetails
Product NameOpenClaw Search Skill
TypeAI Agent Web Search Skill
PlatformClawHub / OpenClaw Ecosystem
Main APIsTavily, Perplexity Sonar, WebSearchAPI.ai, Exa.ai, Brave Search
ProtocolMCP / Agent Skills Specification
Representative Skillweb-search (inf-sh), etc.

Product Description

The OpenClaw Search skill is a category of web search skills that enable AI agents to search the internet in real-time for the latest information. By 2026, the AI search API market has rapidly evolved from Tavily's dominance to a diverse ecosystem of multiple search solutions.

Search skills are one of the most fundamental capabilities of AI agents—without search capabilities, AI agents can only rely on knowledge from training data, whereas search skills allow agents to access real-time information. Within the OpenClaw ecosystem, search is the most commonly integrated foundational skill, widely relied upon by other skills (news, research, shopping, etc.).

Core Features

  • Real-time Web Search: Access the latest internet information
  • Two Search Modes:
  • Raw Results Mode (Tavily, etc.): Returns structured data such as URLs, summaries, and extracted text for agents to process
  • Synthesized Answer Mode (Perplexity Sonar): Returns a synthesized answer with citations, requiring no post-processing
  • Deep Research: Supports multi-step deep research, automatically tracking and synthesizing multiple sources
  • Semantic Search: Exa.ai provides search based on semantics rather than keywords
  • Independent Index: Brave Search offers an independent search index not reliant on Google
  • MCP Integration: Tavily and others provide official MCP servers
  • RAG Optimization: Search results are optimized for LLM context windows, reducing post-processing needs
  • JSON Structured Output: Facilitates programmatic processing

Comparison of Major Search APIs (2026)

APIFeaturesAccuracyLatency
TavilyRAG-optimized raw results, acquired by Nebius93.3% (SimpleQA)Low
Perplexity SonarLLM-synthesized answers + citations93.9%High
WebSearchAPI.aiGoogle-powered, RAG-ready-Low
Exa.aiSemantic search-Medium
Brave SearchIndependent index, large-scale-Low
FirecrawlWeb scraping + search-Medium

Business Model

  • Most search APIs offer a free tier (with limited search counts)
  • Paid APIs charge per search
  • Tavily: Starting at $0.004 per search
  • Perplexity Sonar: Charged per API call
  • Open-source alternatives: Self-hosted search engines like SearXNG

Target Users

  • All OpenClaw users: Search is the most fundamental agent capability
  • Researchers: Require deep research capabilities
  • Developers: Building applications that need real-time information
  • Content creators: Accessing the latest materials and references
  • Business analysts: Market intelligence and competitor research

Competitive Advantages

  • Multi-engine Switching: Not locked into a single search provider
  • AI-native Design: Search results optimized for LLMs, not humans
  • MCP Standardization: Cross-platform compatibility via the MCP protocol
  • Deep Research Capability: Multi-step research processes beyond simple searches
  • Open-source Options Available: Self-hosted search engines like SearXNG can be used

Market Performance

  • Tavily was acquired by Nebius in February 2026, validating the commercial value of AI search APIs
  • Search APIs are the fastest-growing segment in AI agent infrastructure
  • Organizations like AIMutiple have benchmarked eight search APIs
  • Platforms like Firecrawl have published guides comparing the best OpenClaw search providers

Relationship with the OpenClaw Ecosystem

Search skills are infrastructure-level skills in the OpenClaw ecosystem, with almost all advanced skills requiring external information relying on search capabilities. Firecrawl specifically published the "Best OpenClaw Search Providers in 2026" guide, highlighting the deep integration of search with OpenClaw. The quality of search skills directly impacts the effectiveness of other skills (news, research, shopping, etc.).

Sources

External References

Learn more from these authoritative sources: