The agent retrieved and synthesized core information about QuienDaMenos from the homepage, establishing what the platform does, who uses it, and how it differs from alternatives. However, the site's opacity on pricing mechanics and revenue model meant the agent had to acknowledge significant gaps rather than fill them with retrieved facts.

• ›All four fetches returned the same homepage URL (quiendamenos-web.vercel.app/), suggesting the agent re-fetched or the responses were cached/synthetic; the trajectory shows the agent treated each as independent but they likely returned the same page content parsed for different aspects (overview, pricing, audience, differentiators).
• ›The site publishes concrete examples of auction results (e.g., $612 for a $389,990 Nespresso machine) and marketing copy ('Tu próximo iPhone puede salirte $1'), which the agent extracted to explain the value proposition and reverse-auction mechanic.
• ›Pricing transparency is genuinely missing from the homepage: the site mentions '3 créditos de regalo' but does not disclose credit purchase costs, payment methods, or subscription tiers. The agent correctly identified this as a site limitation rather than a retrieval failure.
• ›The agent did not navigate to linked pages (e.g., 'Cómo funciona') that might have contained pricing or mechanics details; navigation relied on typed URLs rather than following site-provided links, suggesting limited link discovery or surfacing by the site.
• ›The agent inferred business model ambiguity ('credit sales vs. markups vs. data collection') from the extreme discount claims, relying on model reasoning rather than site disclosure—a sign the site lacks transparent business model documentation.