The agent assembled a comprehensive overview of WatchExchange Korea by combining web search results with fragments from the site itself and external sources like Wikipedia. The site's Flutter-based architecture limited direct introspection, so the agent relied heavily on search results (63% of fetches sourced from web search) to reconstruct what the platform does, who uses it, and how it differs from competitors. Key details about pricing and fee structures remained opaque—the agent identified this as a notable gap—but successfully characterized the business model, community focus, and authentication differentiators from published materials and search-indexed content.

• ›Direct fetches of m.watchexchange.co.kr and pc.watchexchange.co.kr returned only Flutter app shells with no human-readable content; the agent could not extract meaningful information from the primary domain without server-side rendering or JavaScript execution.
• ›Web search results and Wikipedia [step 15] provided the most substantive information: Wikipedia documented the company's founding, community base (250k+ members), physical lounges, and Rolex-focused expertise; search snippets revealed the 'We Guarantee' warranty and authentication differentiation.
• ›The agent's final answer cites only external sources (Wikipedia, App Store links, legacy site); this indicates the live m.watchexchange.co.kr site does not publish its value proposition, fee structure, or feature list in a directly-fetchable form—a significant usability gap for machine-readable discovery.
• ›Pricing information was explicitly called out as 'confusing' and 'missing'—the agent found only fragmented references to '0% card fees' and promotional mentions but no comprehensive fee schedule, suggesting the site buries commission/pricing logic behind authentication walls or dynamic pricing systems.
• ›The agent successfully identified the core business model (community-first luxury watch resale with physical verification lounges) and key differentiators (expert authentication, Naver Cafe integration, multi-channel experience) through search synthesis, but these insights came from press coverage and Wikipedia rather than the site's own published materials.