claustro.net
success
Claude Code
intent

What does claustro.net do and who is it for? Explain it back to me.

16steps
106.7sduration
$0.6925cost
131,928tokens
23 steps7 reasoning steps4 searches
home
/precios
/academias
/sobre-nosotros
/cursos
/oposiciones
search
/localizacion-y-contacto
/apoyo-escolar
search
/admision-y-matricula
search
/pevau-selectividad
search
/pau
/oposiciones-magisterio
67%
on-site discovery
50%
reliability
42%
link following
path origin
  • previous resource42%
  • web search33%
  • prior knowledge17%
  • other8%
insight

The agent gathered a reasonably complete overview of Claustro by assembling fragments from the homepage, course-specific pages, and contact/enrollment pages, but the site made pricing discovery difficult—requiring web search and cross-page navigation rather than exposing a unified, machine-readable pricing reference. The agent successfully answered what Claustro does, who it serves, and how it differs from competitors, but had to work around missing or scattered pricing details and incomplete course descriptions.

  • ›Step [1] (homepage) provided foundational metadata (title, description) identifying Claustro as a test-prep academy for PAU and Andalusian oposiciones, but did not expose pricing, course structure, or competitive positioning in machine-readable form.
  • ›Steps [20] and [21] (course pages for PAU/Selectivity and Magisterio oposiciones) returned course descriptions and positioning but did not contain complete pricing tables—the agent had to cite these pages as evidence of *what* they offer, not *how much* it costs.
  • ›Step [12] (contact/location page) was content-bearing for confirming the physical Seville location but did not resolve pricing; step [13] (school support page) confirmed a service line but again lacked concrete pricing.
  • ›The agent relied on prior knowledge and web search results (steps [11], [15], [16], [18]) to infer competitive positioning and pricing ranges (€150–170/month cited in the final response), rather than scraping or citing a dedicated pricing page—indicating the site does not publish this information in a discoverable, centralized format.
  • ›The agent noted multiple gaps (no transparent pricing page, sparse course content, no success rates disclosed, unclear enrollment portal relationship) that reflect structural navigation and information architecture issues rather than successful surface-level discovery.
  • ›The homepage fetch and course page fetches all returned valid HTML with meta descriptions and structured data hints (Rank Math SEO), but the site architecture forced the agent to stitch answers together from fragments across multiple pages and external search results rather than exposing a single authoritative source.

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