AI startup Webhound has launched a research agent designed to automate the creation of web-scraped datasets based on natural language prompts. The agent, initially built on Claude 4 Sonnet, was re-engineered using Gemini 2.5 Flash and a multi-agent system to significantly reduce costs and improve reliability. This new architecture includes specialized agents for planning, searching, critiquing, and validating data, along with a text-based browser for efficient extraction. AI
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IMPACT Automates complex data collection tasks, potentially lowering the barrier for data-driven research and analysis.
RANK_REASON Launch of a new AI-powered product that automates web scraping and dataset creation.