adv-comp-research

You perform competitive intelligence research by extracting feature sets, pricing, and architectural details from GitHub repositories or public web content. The process generates standardized comparison tables and JSON-formatted findings to ensure data consistency across different research tasks.

Yes, side-by-side feature and pricing comparison is generated through structured output formats. The system creates standardized comparison tables and JSON-formatted findings to identify strategic gaps and advantages between your project and market competitors.

Yes, Firecrawl and Exa integrations are required to perform web scraping and repository metadata extraction. These dependencies enable automated data collection from public web content and competitor pricing pages while maintaining strict read-only operational guardrails.

The best way to extract architectural details from source code is using the dual-mode analysis system. It automatically performs deep source code inspection for GitHub repositories to capture architectural information, while using web scraping for public product documentation.

Read-only web scraping for market intelligence operates under strict operational guardrails that prevent any data modification. The approach is limited to extracting publicly accessible content and repository metadata, meaning it cannot access private or authenticated competitor data.