The agent successfully assembled a comprehensive explanation of Cuvo Health's business model, pricing, and differentiation by retrieving two markdown artifacts (pricing.md and a comparison page) that contained structured, detailed information. The site was moderately navigable — it published machine-readable pricing and competitive positioning in .md format, but required web search and prior knowledge to fill gaps around company background, operational details, and day-to-day workflows that weren't explicitly documented.

• ›Step [6] (pricing.md) returned detailed tier pricing ($2k–$8k/month + setup fees + $25/consult), flat-fee structure, and value claims (0% medication markup, no revenue share) — the core of the pricing answer came directly from this fetch.
• ›Step [16] (cuvo-vs-rimo.md) provided explicit differentiation claims (fully operated vs. self-serve, transparent vs. hidden pricing, MSO structure, compliance depth) that formed the backbone of the 'how it's different' section.
• ›The site exposes pricing and positioning in machine-readable .md format, which was agent-friendly; however, the HTML homepage and /about pages returned truncated boilerplate without substantive content, forcing the agent to rely on markdown artifacts and web search to complete the picture.
• ›The agent had to fill critical gaps (founder names, company history, operational SLAs, data portability mechanics, vertical-specific scaling limits) via web search and prior knowledge — these details were not present in the fetched markdown or search results, indicating the site does not document them publicly.
• ›The agent explicitly cited [6] and [16] in the Sources section and used them as primary evidence; web search steps [7], [11], [12] were routing/discovery steps but did not themselves contain substantive content that made it into the final answer.