Web Search & Extraction Search the web and extract content via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login
Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}' Available Apps Tavily App App ID Description Search Assistant tavily/search-assistant AI-powered search with answers Extract tavily/extract Extract content from URLs Exa App App ID Description Search exa/search Smart web search with AI Answer exa/answer Direct factual answers Extract exa/extract Extract and analyze web content Examples Tavily Search infsh app run tavily/search-assistant --input '{ "query": "What are the best practices for building AI agents?" }' Returns AI-generated answers with sources and images. Tavily Extract infsh app run tavily/extract --input '{ "urls": ["https://example.com/article1", "https://example.com/article2"] }' Extracts clean text and images from multiple URLs. Exa Search infsh app run exa/search --input '{ "query": "machine learning frameworks comparison" }' Returns highly relevant links with context. Exa Answer infsh app run exa/answer --input '{ "question": "What is the population of Tokyo?" }' Returns direct factual answers. Exa Extract infsh app run exa/extract --input '{ "url": "https://example.com/research-paper" }' Extracts and analyzes web page content. Workflow: Research + LLM
1. Search for information
infsh app run tavily/search-assistant --input '{ "query": "latest developments in quantum computing" }'
search_results.json
2. Analyze with Claude
infsh app run openrouter/claude-sonnet-45
--input
'{
"prompt": "Based on this research, summarize the key trends:
1. Extract content from URL
infsh app run tavily/extract --input '{ "urls": ["https://example.com/long-article"] }'
content.json
2. Summarize with LLM
- infsh app run openrouter/claude-haiku-45
- --input
- '{
- "prompt": "Summarize this article in 3 bullet points:
" - }'
- Use Cases
- Research
-
- Gather information on any topic
- RAG
-
- Retrieval-augmented generation
- Fact-checking
-
- Verify claims with sources
- Content aggregation
-
- Collect data from multiple sources
- Agents
- Build research-capable AI agents