The agent successfully assembled a comprehensive overview of Koywe by combining web search results with fragments from the documentation site itself, which proved difficult to parse directly. The site's reliance on client-side rendering (Next.js) meant fetched pages returned only HTML scaffolding without readable content; the agent compensated by mining search results and prior knowledge to construct answers on what Koywe does, who it serves, and how it differs from competitors. Pricing information remained genuinely unavailable—not a navigation gap but a deliberate business decision to hide rates behind contact forms.

• ›Steps [8], [9], [13], [14] fetched docs.koywe.com pages successfully (200 status) but returned only Next.js boilerplate HTML with no extractable text content, making the live documentation site effectively unreadable to the agent without client-side rendering.
• ›Steps [7], [16]–[21] were web searches that surfaced actual insight: search snippets and third-party sources (Y Combinator, RFP.wiki, Dealroom) provided the core facts about Koywe's positioning, features (crypto on/off-ramps, multi-currency wallets, order management), target market, and competitive differentiation—information the agent could not retrieve from the docs domain itself.
• ›Pricing was genuinely absent: step [20] targeted 'site:koywe.com pricing OR fees OR rates' and returned no pricing pages; steps [5] and [16] confirmed no /pricing route exists on docs.koywe.com. The agent correctly identified this as a business choice (contact sales) rather than a missing page.
• ›The agent cited sources including docs.koywe.com URLs (steps [8], [9], [13], [14]) in its final response, but only because those pages appeared in search results; the actual content came from external sources and prior knowledge, not from parsing the live documentation.
• ›The site is poorly agent-readable due to Next.js client-side rendering; even pages that load (200 status) return HTML without semantic content. A documentation site should publish structured metadata, plaintext guides, or static HTML to enable machine discovery and extraction.