The agent assembled a comprehensive explanation of Proxus by combining information from the site's own pages (which returned React-heavy HTML with limited extractable content) and third-party news/education articles. The site itself was poorly navigable for machine extraction — direct fetches of proxus.es returned truncated, largely identical HTML responses with no substantive content differences, forcing the agent to rely on external sources (Euroinnova, Infobae, Sherpa Campus) to answer the core questions about what Proxus does, who it's for, and how it's priced. The agent satisfied the task despite the site's poor content exposure.

• ›Direct site fetches (steps [0–3, 7]) returned identical or near-identical HTML stubs with title and meta description only; no detailed feature breakdowns, pricing tables, or differentiation content were extractable from the actual proxus.es domain. This suggests a client-side rendered React app where content lives behind login or is dynamically injected.
• ›All substantive details about features (tests, flashcards, podcasts, MagIA), pricing tiers (€6.99 MagIA, €12.99 SuperMagIA), and company origin (five UCM students) came from external third-party sources (steps [10, 13] — Euroinnova article and Infobea news piece), not from the site itself.
• ›The agent correctly identified gaps it could not fill from site content — exact free-tier feature limits, detailed per-plan breakdowns — and transparently called this out. The site does not publish machine-readable pricing or feature tables in a way accessible via static fetch.
• ›The final response cites three external sources as primary, indicating the site failed to be self-documenting. Web search (steps [5, 8, 12]) was essential to discovery; prior knowledge and web search combined accounted for 72% of sourcing, leaving only the site's own direct pages as 28%.