chainalysis.com
partial
Claude Code · Haiku 4.51:01
intent
What does chainalysis.com do and who is it for? Explain it back to me.
14steps
61.4sduration
$0.8380cost
151,547tokens
22 steps8 reasoning steps5 searches
home
docs
/platform
/products
/solutions
docs
search
/chainalysis
/chainalysis-pricing
search
docs
search
search
search
67%
on-site discovery
67%
reliability
44%
link following
path origin
- previous resource44%
- web search33%
- prior knowledge22%
insight
The agent assembled a substantive answer about Chainalysis's business, pricing, and competitive position, but had to work around a largely inaccessible website. Chainalysis.com itself is JavaScript-heavy and returned no readable content; the agent relied instead on web search results and third-party vendor platforms (Vendr, CostBench, CryptoTraceLabs, Contrary Research) to answer all four parts of the task. The site's own product pages, pricing details, and comparison information were not machine-accessible during this run.
- ›Steps [1], [4], [8] fetched from chainalysis.com directly but returned only boilerplate JavaScript scaffolding with no semantic content — the agent could not extract what Chainalysis does, who uses it, or pricing from first-party sources.
- ›Steps [9], [14], [15], [19], [20] (web searches) returned actionable search result snippets and URLs, which became the agent's primary content sources. The agent never successfully fetched the Chainalysis product pages themselves (e.g., /product/reactor/, /product/kyt/), instead learning about these offerings through third-party summaries and research reports.
- ›Third-party vendor aggregator sites (Vendr, CostBench, SoftwareSuggest) and comparison blogs (CryptoTraceLabs) supplied concrete pricing ranges ($50K–$200K/year) and customer counts (800 government agencies, 1,500+ organizational clients). Chainalysis does not publish this information on its own website.
- ›The agent had to rely on 33% web search and 44% previous artifacts (cached or derived from earlier steps) to answer the task; only 22% came from prior knowledge. This distribution reflects the site's poor machine readability and the agent's need to cross-reference external sources.
- ›The agent explicitly called out confusions: no public pricing page, JavaScript-heavy navigation preventing direct inspection, lack of clarity on product differentiation (Reactor vs. KYT vs. Kryptos), and inability to find law enforcement dominance figures on the main site.
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