The agent successfully synthesized a comprehensive explanation of rentaikey.com by retrieving markdown documentation files (.md and .llms.txt) that contained the full business model, pricing mechanics, and positioning. The site is highly agent-readable via structured artifact files, though pricing transparency is deliberately vague ("under $1/hour") and no dedicated pricing page exists, forcing users to reach checkout to see actual rates.

• ›Steps [11–16] all returned markdown artifacts (.llms.txt, .faq.md, .how-it-works.md, .about.md, .leaderboard.md, .privacy.md) that directly contained the complete answer. The site publishes these as machine-readable, citable sources rather than HTML-only.
• ›The agent correctly identified missing information: no /pricing route (404 in step [3]), no transparent pricing formula, and no refund policy details—these gaps were acknowledged and called out in the final response, showing the agent understood what it could not find.
• ›Discovery was bootstrapped via prior knowledge (steps [1], [4]) and markdown file guessing (steps [11–16]); web search (steps [9–10]) did not contribute to the final answer. The site is optimized for LLM consumption via .llms.txt and .md routes but not for organic search or agent discovery.
• ›Pricing remains deliberately opaque: "demand-based dynamic pricing starts under $1/hour" but no algorithm detail, no rate card, and no way to preview prices without booking. The agent correctly flagged this as confusing and unsolvable from available public docs.