deep-research

To generate cited research reports, you automate the collection, verification, and synthesis of scattered web information into structured documents with inline source attribution. This requires access to web search tools to execute multi-source queries and scrape full content for evidence-backed findings.

The best way to automate competitive analysis is using a deep research process that leverages subagents to parallelize searches across sub-topics. This approach significantly cuts down research time by automating web searches and synthesizing findings into structured reports with executive summaries and key takeaways.

Yes, you need access to firecrawl or exa MCP tools to run deep research tasks. These tools provide the necessary functionality to search the web and news for relevant information, scrape full content from reputable sources, and gather the data required for synthesis into cited reports.

Yes, you can use parallel research for complex due diligence and technology evaluation queries. The system uses subagents to parallelize research across broad sub-topics, efficiently gathering and synthesizing scattered web information into evidence-backed findings for comprehensive topic investigation.

Multi-source synthesis handles unverified claims or data gaps by clearly labeling them within the final output. It verifies information across academic, official, and reputable sources, ensuring that the structured cited reports maintain transparency regarding the reliability of the synthesized findings.