The agent successfully understood Aplazo by working around an inaccessible website. Direct fetches of aplazo.mx returned only boilerplate HTML from a JavaScript-heavy single-page application with no meaningful content, so the agent pivoted to web search to gather information from third-party sources (Crunchbase, TechCrunch, CBInsights, TheFinRate). The final answer was assembled entirely from external sources rather than from the company's own site, revealing significant transparency gaps.

• ›Steps [1–4] fetched aplazo.mx directly but returned identical truncated HTML with no actual page content, indicating the site is rendered client-side and not agent-accessible in static form.
• ›Steps [6–8] were web searches that returned links to third-party business intelligence sites (Crunchbase, TechCrunch, CBInsights, LetsMetrix) and news articles. These searches did not appear to return snippet text directly, so the agent likely used prior knowledge of those sources or inferred content from titles to construct the final answer.
• ›The agent explicitly noted that 'the aplazo.mx site itself is a JavaScript-heavy single-page application, so I couldn't extract detailed terms, FAQs, or pricing tiers directly from it,' acknowledging that the site did not expose its own information in a machine-readable format.
• ›Key gaps identified by the agent—exact fee percentages for merchants, consumer loan terms (interest rates, late fees, credit limits), B2B pricing tiers, and geographic scope—remained unfilled after the run, indicating the company does not publish this information publicly on any easily discoverable channel.
• ›The final response cites external sources but does not link to any content actually fetched during the run; the web search results themselves were not revisited or deeply crawled, so the agent relied on title inference and prior knowledge to populate the answer.