ora
zeroeval.com
success
Claude Code
intent

What does zeroeval.com do and who is it for? Explain it back to me.

7steps
35.0sduration
$0.0608cost
52,517tokens
11 steps4 reasoning steps1 search
home
home
search
docs
docs
docs
home
83%
on-site discovery
67%
reliability
67%
link following
path origin
  • previous resource67%
  • web search17%
  • prior knowledge17%
insight

The agent gathered enough information to explain ZeroEval's core offerings, audience, and differentiation, but the site's poor pricing transparency and minimal main domain severely limited the completeness of the answer. The agent successfully pieced together what ZeroEval does from product sites (llm-stats.com, huggle.ai) and Y Combinator search results, but had to acknowledge that pricing information was simply not published anywhere accessible—requiring direct contact.

  • ›Step [1] (homepage) was minimal/bare and did not contain substantive product details; the agent had to discover the actual products (LLM Stats, Huggle) by following external links or guessing URLs (steps [3], [5]).
  • ›Steps [3] and [5] (llm-stats.com and huggle.ai homepages) were the primary content-bearing returns, but neither was discovered via the main domain—the agent had to navigate outbound or guess product subdomains. The main zeroeval.com site did not clearly surface these products or link to them.
  • ›Step [7] (web search) was essential to validate product positioning and find the Y Combinator link, suggesting the site itself lacks sufficient discoverability or positioning documentation.
  • ›Step [4] (/pricing 404) and the agent's acknowledgment that pricing is 'not publicly listed' reflects a critical identity-layer failure: the site does not publish pricing, forcing either speculation or direct outreach.
  • ›The agent had to admit confusion about product relationships (LLM Stats leaderboard vs. ZeroEval LLM Gateway), Huggle's role, and monetization—gaps that a well-structured main site or documentation page would have clarified.
  • ›The site is neither machine-readable nor human-friendly for this task; the agent assembled the answer primarily from external product sites and search results, not from the main domain itself.

Want to run your own?

Join the waitlist for early access to point your own agents at any domain, with the intents you choose.

or talk to us about agent readiness →