Agent successfully understood Fliinow's core offering, pricing, differentiation, and customer base by fetching the homepage four times. The site clearly published comprehensive information, though the agent had to note missing details (geographic focus, approval rates, direct competitor comparisons) that the site did not explicitly surface.

• ›All content came from the homepage itself (steps [1–4]), with the agent typing the URL from memory rather than discovering it via navigation—indicating the site does not surface information through internal links or site structure, requiring direct URL knowledge.
• ›The homepage consolidated all necessary information (service description, pricing, differentiation, customer list, metrics, and case study) in a single fetchable page, making it agent-friendly and reducing navigation friction.
• ›The agent correctly extracted specific, quantifiable claims (€10M financed, 5,400+ bookings, 500+ partners, 22% conversion lift, 38% transaction value increase, specific APR/interest rates), confirming the site published structured business metrics.
• ›Geographic limitations (Spain/Europe focus) and missing approval rate statistics were identified by the agent as gaps, not contradicted by fetched content—the site simply did not publish these details, requiring the agent to flag absence rather than correct false claims.
• ›The agent assembled a coherent final answer without model hallucination about features or claims; the four fetches provided sufficient depth that the response stayed grounded in retrieved facts, with caveats clearly marked as 'unclear or missing'.