The agent successfully retrieved and synthesized the core information about Kalsama from two pages (homepage and methodology), providing a complete picture of what the product does, how it works, who it targets, and what gaps exist in the documentation. The site is moderately agent-ready: it publishes methodology publicly and has a clear structure, but omits guidance on signal interpretation and leaves some metrics unexplained.

• ›The homepage does not explain the Kalsama Index itself—the agent had to follow a link to the methodology page to understand how it's calculated. This is a discovery friction point: the headline metric is opaque without a secondary fetch.
• ›Pricing information is completely absent from both fetched pages. The agent explicitly noted it did not check for a separate pricing page, so the conclusion that the site is 'free-looking' is partially grounded in absence of evidence rather than explicit site statement.
• ›The methodology page is comprehensive and cites data sources (Alternative.me, BGeometrics API, Binance, internal RSI calculation), making the index reproducible in principle. However, it does not validate forecasting accuracy or reference independent performance studies—the site is transparent about its limitations.
• ›Multiple metrics on the homepage lack explanation or units (e.g., 'Realized Profit STH: 13× 30d median', negative loss percentages of −1,072%), and the agent correctly identified these as confusing. The site provides no interpretation guidance (e.g., which MVRV or Puell levels signal market extremes).
• ›The agent discovered both pages via direct URL entry and link-following, with no reliance on search results. The site's navigation from homepage to methodology is clear, but the lack of a top-level pricing or product overview page means key information (who it's for, how much it costs) is left implicit or absent.