hive.co
success
Claude Code
intent
What does hive.co do and who is it for? Explain it back to me.
19steps
91.4sduration
$0.2475cost
392,225tokens
23 steps4 reasoning steps6 searches
home
docs
/features
docs
docs
docs
search
/p/205820/hive-co
/software/alternatives…
/products/hive-co/pric…
/software/hive-co/revi…
/software/hive-co/revi…
search
/en/articles/723679-wh…
/industries/festivals
search
search
search
search
54%
on-site discovery
69%
reliability
31%
link following
path origin
- previous resource31%
- web search46%
- prior knowledge23%
insight
The agent partially satisfied the task by assembling a coherent explanation of Hive's purpose, target audience, and key differentiators, but struggled to present complete and clear pricing information. The site is moderately navigable for discovery (homepage, about, pricing pages exist and load) but pricing details are deliberately customized rather than transparently published, forcing the agent to note uncertainty and rely on search results rather than official documentation.
- ›Step [1] (homepage) and step [4] (about page) provided core positioning: Hive is a marketing platform for live events, founded in 2014, serving 1,500+ venues. Step [16] (FAQ) and step [17] (festivals industry page) reinforced the event-specific use case and confirmed integrations with major ticketing platforms.
- ›Step [2] (pricing page) returned only a meta description promising 'custom plans' with no actual pricing tiers displayed—the agent had to note this opacity and could not cite official pricing from the site itself. The concrete tier information ($79–$649/month, enterprise custom) came from search results [20], not from hive.co's own content, and the agent explicitly flagged this discrepancy as 'confusing.'
- ›The site published feature lists and positioning clearly across dedicated pages (festivals, integrations), but withheld competitive differentiation and detailed tier breakdowns. The agent successfully extracted what was public and openly acknowledged what was not—a sign the site is partially agent-ready for structured extraction but deliberately obscures pricing transparency.
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