The agent partially fulfilled the task by assembling a coherent explanation of Kabba's business model, target markets, and differentiation, but relied heavily on web search and external sources rather than content directly from kabba.vercel.app. The original domain (kabba.vercel.app) proved difficult to parse due to client-side rendering, forcing the agent to pivot to kabbatransport.com and third-party sources; while the final answer is substantive, it leaves critical gaps (exact pricing, revenue model clarity) unfilled and cannot verify whether kabba.vercel.app itself contains this information.

• ›Steps [9–14] (fetches to kabbatransport.com) returned Next.js applications with client-side rendering that did not yield extractable text content in the HTML responses—all returned truncated, script-heavy payloads that the agent could not parse. The agent inferred Kabba's positioning from navigable structure (URLs like /businesses, /schools, /commuters) but not from semantic content.
• ›The agent discovered Kabba's actual business model through web search results (step [6], [15]) and a cited third-party article (Shega news piece) rather than from the official site itself. No pricing page exists at a standard URL, and the site does not expose a structured, crawlable pricing model.
• ›The kabba.vercel.app domain (steps [1–4]) loaded but was equally opaque—client-side rendered and no different from kabbatransport.com in terms of content extraction. The agent could not determine why two domains exist or which is authoritative, and the /pricing endpoint returned 404 (step [3]).
• ›The agent successfully inferred Kabba's three customer segments and core value proposition (data-driven fixed routes vs. informal minibuses) from URL structure and external reporting, but pricing precision and revenue model details remain incomplete—the agent explicitly flagged these gaps in its final response.