deep-research

To synthesize cited research reports, this skill performs multi-source web research and aggregates findings into structured documents. It uses integrated search and scraping tools to extract data, ensuring every claim is backed by citations to reduce hallucination and improve reliability.

Multi-source web scraping for competitive analysis works by querying diverse web domains and deep-scraping content to gather fragmented data. The skill then aggregates this information to provide a unified, evidence-based perspective on market trends and competitive landscapes.

Yes, you need active firecrawl and exa MCP configurations to perform technical due diligence. These integrated search and extraction tools are required dependencies to execute the web search and scraping workflows necessary for gathering evidence across diverse web domains.

The best way to evaluate technology stacks using web research is to deep-scrape multiple sources and synthesize the findings into a structured report. This approach ensures evidence-based reporting by verifying claims across fragmented web domains with proper citations.

Yes, you can use this skill for market sizing and vendor due diligence across diverse web domains. It supports complex inquiries requiring competitive analysis by aggregating data from web searches and deep-scraped content into a unified, cited report.

Multi-source synthesis reduces the risk of hallucination by ensuring every claim in the research report is backed by citations. By aggregating and verifying data from web searches and deep-scraped content, it prevents unverified assertions and improves overall reliability.