The agent assembled a partial understanding of datavis.saredica.site by combining truncated homepage content (step [1]), web search results about SAREDICA as a Senegalese cadastral organization (steps [9] and [11]), and prior knowledge about the sector. The site itself was minimally navigable for this discovery task—standard pages like /pricing, /about, and /features returned 404s, and the homepage HTML was cut off. The agent had to rely heavily on external research and contextual inference rather than on-site information architecture.

• ›Step [1] returned the homepage HTML but it was truncated (noted '4400 more chars'), so the agent never saw the full content it needed to understand positioning, features, or pricing
• ›Steps [3], [4], [5] all returned 404s for /pricing, /about, and /features—the three pages that would typically house the core answers to the task (pricing model, competitive differentiation, and audience). The site does not publish this information in standard locations
• ›Steps [9] and [11] (web searches for 'SAREDICA' + cadastre context) were the only content-bearing sources that provided real answers—they surfaced that SAREDICA is a Senegalese government/institutional system for cadastral data, not a commercial product. This information was NOT available on the site itself
• ›The agent used prior knowledge (~40%) to piece together that this is a government tool; the site does not expose its own business model, target audience, or differentiation through metadata, visible text, or standard navigation
• ›The site is entirely in French and appears to be an internal government portal rather than a marketed product, explaining the absence of typical B2B SaaS information architecture (no pricing, no features page, no about/team)