deep-research

To generate a cited research report, you need to conduct multi-source discovery, fetch full-page content for deep reading, extract evidence, and assemble source-attributed findings. This synthesized approach produces executive summaries and numbered source lists suitable for decision-making.

The best way to conduct due diligence and competitive analysis is to search across news, academic, and web sources to surface relevant material, then scrape full content to extract evidence. Assembling these findings creates structured, cited reports for evaluating markets or companies.

Yes, this research approach works with firecrawl and exa for web scraping. It leverages multi-channel search and crawling tools like firecrawl_search, firecrawl_scrape, web_search_exa, and crawling_exa to fetch full content and extract evidence for source-attributed findings.

Yes, you can use web scraping for technology evaluation and market sizing. By applying multi-channel search tools to gather broad material and extracting full-page content, you can synthesize evidence into structured, cited reports tailored for in-depth topical investigations.

The main limitation of automated research synthesis is the risk of unsourced claims if evidence extraction is incomplete. While multi-channel search and web scraping gather broad material, users must ensure the assembled source-attributed findings are properly validated for due diligence.

To synthesize academic and news sources into an executive summary, conduct broad searches across these channels, scrape full-page content for key sources, and extract evidence. Assembling these source-attributed findings produces a structured report with thematic findings and a numbered sources list.