yandex.ru
success
Claude Code
intent

What does yandex.ru do and who is it for? Explain it back to me.

10steps
73.8sduration
$0.7851cost
124,297tokens
14 steps4 reasoning steps5 searches
home
search
/en
/portal
home
search
/en/prices
search
search
search
60%
on-site discovery
80%
reliability
0%
link following
path origin
  • web search40%
  • prior knowledge60%
insight

The agent successfully assembled a comprehensive explanation of Yandex by relying heavily on web search results and prior knowledge, since the primary yandex.ru domain returned unhelpful redirects and the fetched cloud pricing page (step [9]) contained only HTML boilerplate with no readable content. The agent pieced together what Yandex does, its market position, pricing structure, and differentiation from competitors by synthesizing multiple search result snippets and external sources, revealing that the site itself does not publish machine-readable, agent-friendly information about its own offerings.

  • ›Step [1] (yandex.ru/) returned only a redirect script to Dzen/SSO, providing zero meaningful content about what Yandex is or offers — the homepage is inaccessible to agents seeking product information.
  • ›Steps [3], [8], [10], [11], [12] (all web searches) were the primary content sources; the agent had to rely entirely on third-party summaries, review sites, and market analysis rather than Yandex's own published information.
  • ›Step [9] (yandex.cloud/en/prices) returned 200 but the response body contained only truncated HTML boilerplate with no readable pricing data, pricing tables, or service descriptions — the agent could not extract what it needed from the direct fetch.
  • ›The agent explicitly noted in its final response that 'Most detailed service information is in Russian, making it harder to assess all offerings from the English-language site' and that 'detailed comparisons of specific service features vs. competitors weren't readily available on their main pages,' confirming the site does not self-serve agent navigation.
  • ›The agent had to apply prior knowledge (~60% of sources per the run header) combined with web search (~40%) to construct the answer; Yandex's own domain contributed almost nothing to the final output despite multiple direct fetch attempts.

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