The agent assembled a partial understanding of Pegasus by combining the inaccessible homepage (JavaScript-rendered), web search results that repeatedly surfaced the tagline 'Institutional memory for private capital,' and two third-party comparison articles. However, the site itself proved fundamentally opaque—no pricing details, feature docs, or product demos were publicly available or machine-readable—forcing the agent to work around the gap by relying on search engines and inferring differentiation from competitor positioning rather than direct product evidence.

• ›Step [1] (homepage fetch) returned only raw HTML skeleton with no rendered content—the site is a JavaScript SPA that hides all copy, pricing, and feature details from static fetches. The agent correctly identified this limitation and pivoted to web search.
• ›Steps [7], [28], [32], [38] (web searches) surfaced the same homepage URL repeatedly as the primary source, but only the tagline 'Institutional memory for private capital' was visible in search snippets. No pricing, feature lists, case studies, or detailed positioning appeared in search results—indicating minimal public content or indexing.
• ›Steps [34] and [36] (third-party comparison articles from Transacted and WorkWise) were the only content-bearing sources that provided context about PE diligence platforms and competitors like Keye and Datasite. However, neither article contained specific details about Pegasus itself—the agent had to infer its differentiation by absence.
• ›The agent correctly cited three URLs in the final response ([1], [38], and the third-party articles [34], [36]) as its primary sources, acknowledging that direct product information was unavailable. The site published no pricing page, feature matrix, demo, or technical documentation that the agent could access.
• ›The agent's core answer—'institutional memory for private capital' and comparison to VDR/diligence platforms—came almost entirely from prior knowledge and web search snippets, not from the site itself. The site failed to surface: pricing model, use cases, competitive differentiation, team/funding information, or product examples.
• ›The site's JavaScript-first architecture, combined with sparse public marketing and no apparent SEO optimization for product details, made it effectively invisible to agent navigation. The agent had to work backward from search engine caching and third-party references rather than forward from the product site.