The agent assembled a reasonably complete picture of StackerScan by combining partial site fetches (homepage, pricing, about pages) with web search results and app store listings. The site's client-side rendering prevented full content access via fetches, forcing reliance on search snippets and external sources; the agent honestly flagged pricing ambiguity it could not resolve directly from the site itself.

• ›Site fetches [1, 3, 4, 11] returned only HTML scaffolding (truncated Next.js app shells) with no readable content, forcing the agent to rely on search results and prior knowledge rather than native site structure.
• ›Search results [6, 12, 13] provided the majority of actionable intelligence: app store listings confirmed the product category (precious metals portfolio tracker), search snippets surfaced feature names (AI receipt scanning, PCGS integration, privacy claims), and external reviews (SaaS Browser, MetalMetric comparison) supplied differentiation and pricing context.
• ›Pricing information remained unresolved: the agent found a `/premiums` URL but correctly inferred it referred to precious metal premiums rather than pricing tiers, and candidly noted the contradiction between 'free' marketing language and unverified mentions of per-scan costs in secondary sources.
• ›The agent drew heavily on prior knowledge and app store metadata rather than native site documentation—the site does not publish structured pricing, feature comparison, or competitor positioning in a format the agent could access directly.