crowdrealestate.nl
success
Claude Code
intent

What does crowdrealestate.nl do and who is it for? Explain it back to me.

7steps
41.7sduration
$0.3261cost
23,416tokens
9 steps2 reasoning steps1 search
home
/en/pricing
/en
/en/how-it-works
/en/faq
/en/about
search
67%
answer from your site
50%
answer efficiency
60%
followed site links
answer sources
  • from this site67%
  • from search results17%
  • from agent knowledge17%
url discovery
  • given in the task17%
  • followed a link50%
  • guessed the URL33%
insight

Agent successfully gathered comprehensive information about Crowdrealestate's core offering, pricing, and market position despite multiple 404 errors blocking expected navigation paths. The site exposed its value proposition and fees directly, but required the agent to type URLs from memory and supplement with external search results to address competitive positioning.

  • ›Homepage ([1]) and English section ([3]) delivered core facts about what the platform does, target users, returns, and regulatory status in structured form without requiring authentication or navigation through missing pages.
  • ›Pricing information ([5]: FAQ page) was discoverable only by the agent typing the URL from memory—the site did not surface a dedicated pricing page (attempted URL returned 404), and the FAQ was not linked from the homepage output shown in the trajectory.
  • ›Pages for 'how-it-works' ([4]), 'about' ([6]), and 'pricing' ([2]) all returned 404 errors, indicating structural navigation issues; the agent worked around this by trying alternative URLs and relying on memory.
  • ›Competitive differentiation required external search results ([7]) because the site itself does not explain how it differs from alternatives—only what it offers. The agent had to synthesize positioning from claimed features (licensing, security, accessibility) rather than explicit competitive claims.
  • ›The site did not expose enough information to fully answer questions about risk handling, return determinants, or company background; the agent acknowledged these gaps rather than filling them from model memory alone.

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