The agent gathered a coherent overview of Residencia en Datos by fetching the homepage and a machine-readable context file, but left key pages (About, Sources, Privacy, Terms, Contact confirmation) unvisited, resulting in a partial answer with acknowledged gaps and caveats about pricing, verification methods, and update frequency.

• ›The site publishes an explicit llms-full.txt file that supplements the homepage with structured information about business model, data sources, and interpretation rules — a signal of agent-readiness — but pricing remains deliberately absent from both.
• ›The agent had to infer the target audience from the llms-full.txt content since the homepage does not state it directly; this is a minor identity gap but recoverable.
• ›Enterprise/institutional features (hospital management, university cohorts, aggregate reporting) are documented in llms-full.txt but not surfaced on the homepage, so the agent had to synthesize them to build a complete business model picture.
• ›The homepage references contact, About, Sources, and Privacy pages but the agent did not fetch them; these would have resolved several 'confusing' items (verification method, update frequency, contact confirmation) but were treated as lower-priority exploration.
• ›Neither fetched page explicitly states whether the core platform (vacancies, cutoff scores, exam prep) is free or requires premium; the agent correctly flagged this ambiguity rather than guessing.