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Run parallel web searches, filter results, and extract content from pages.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lens" yet — see the docs or source repo.
Use Lens to search DuckDuckGo and Naver in parallel for "AI document assistant 2025 competitors," keep the 10 most relevant results, extract key information from each page, and organize product name, features, pricing, and target users into a table.
A deduplicated competitor research table with highly relevant results and extracted page summaries.
Use Lens to search Naver News for "AI regulation" and related DuckDuckGo web results, automatically filter low-relevance content, extract the main points, and produce a five-point news summary.
A multi-source news summary highlighting key points and important information sources.
Use Lens to search for "BM25 relevance filtering MCP server," keep the most relevant results, extract page content, and return structured context for further LLM analysis.
Structured web context with result links, high-relevance summaries, and extracted content.
Search the web, fetch pages, and extract structured information efficiently.
Enable AI agents to search the web and retrieve structured results.
Search, crawl, and collect structured web data through an MCP server.
Search the web and extract readable page content for AI workflows.
Search the web and fetch pages via DuckDuckGo without an API key.
Search the web and read single or multiple pages efficiently.