support.clever.com
partial
Claude Code
intent
What does support.clever.com do and who is it for? Explain it back to me.
6steps
58.7sduration
$0.4435cost
30,069tokens
11 steps5 reasoning steps2 searches
home
search
docs
search
/hc/en-us
home
50%
answer from your site
50%
answer efficiency
33%
followed site links
answer sources
- from this site50%
- from search results17%
- from agent knowledge33%
url discovery
- given in the task25%
- followed a link25%
- found via web search50%
insight
The agent assembled a comprehensive overview of Clever's identity platform, pricing, and positioning by fetching the main website and pricing page, then working around rendering failures on support.clever.com by relying on search results and inferred knowledge. The target support site itself was not fully navigable due to CSS errors, forcing the agent to source documentation and contact details from search results and external references rather than direct site exploration.
- ›The primary Clever website (www.clever.com/) loaded successfully and provided core product positioning and feature information, serving as the authoritative source for what Clever does and who it serves.
- ›The pricing page (www.clever.com/pricing) was fully accessible and contained the specific tier names, feature lists, and à la carte pricing — making pricing the most complete answer in the response, all from site_content.
- ›support.clever.com failed to render with CSS errors on both the root and /hc/en-us paths, preventing direct access to help articles, documentation structure, or support contact flows; the agent recovered by using search results to cite support.clever.com URLs from search snippets rather than fetches.
- ›The agent inferred differentiation from Clever's education-specific focus and free tier without finding explicit competitive comparisons on the target domain — this section relied on model reasoning rather than site statements.
- ›The agent correctly flagged what it could not find (specific district-size pricing, exact competitors, feature depth, API capabilities) rather than fabricating details, showing disciplined handling of incomplete information.
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