The agent successfully synthesized a coherent overview of RLTY as an agent-matching marketplace by assembling fragments from the homepage and About page. The site lacked clear pricing documentation and business model transparency, forcing the agent to infer structure from scattered content and fill gaps with reasonable deductions about standard real estate commission practices.

• ›The homepage [step 0] and About page [step 3] were the only successful fetches from rlty.com itself; /pricing and /how-it-works both returned 404, indicating poor information architecture for these core questions.
• ›The site does not explicitly state how it monetizes or how much agents/buyers pay; the agent correctly inferred commission-based pricing from context clues ('pay only when you close') rather than from explicit disclosure.
• ›Agent eligibility criteria (3+ years, full-time, loan product knowledge) were discoverable on the About page [step 3], but company history, founding date, and detailed service flow were absent even from fetched pages.
• ›Web search [step 6] confirmed the agent-matching positioning and network size (5,000–7,000 agents) but did not surface competitor comparisons or further pricing details—the agent synthesized differentiation from site-provided vetting claims without external validation.
• ›The site does not surface information about how money flows or who pays what; the agent correctly flagged this as a gap rather than speculating, and did not rely on model memory to fill it with false certainty.