The agent successfully assembled a comprehensive explanation of DeepVest by discovering that deepvest.com is a parked domain and pivoting to deepvest.ai (the actual product) and deepvest.org (a separate investment institute). The site itself was largely non-navigable—the agent relied heavily on web search results and prior knowledge to piece together what DeepVest does, who it's for, pricing, and differentiators. The agent worked around this by synthesizing information from search snippets and press releases rather than fetching rich product documentation.

• ›Step [1] revealed deepvest.com is a redirect-only parked domain with no usable content; the agent had to infer the real product existed elsewhere.
• ›Steps [3], [11], [14], [15] were search results that surfaced press releases, news articles, and landing page snippets—the agent extracted pricing (credit-based: $5–$100), feature names (AgentLab, DataLab, AdvisorLab, MonitorLab), and positioning claims ('hallucination-free' AI) from search result titles and meta-descriptions alone, not from navigating the actual site.
• ›Step [5] fetched deepvest.org but returned minimal navigable HTML; the agent used only the meta-description to identify it as a separate investment institute—full site content was not parsed or cited.
• ›The agent never successfully accessed deepvest.ai directly (steps [4], [8], [9], [10] either returned 403 errors or Cloudflare challenges); all product information came from web search snippets and citations of news articles the agent could not itself fetch (steps [7], [11] returned 403).
• ›The agent disclosed heavy reliance on prior knowledge (14%) and web search (57%) because the domain itself published no accessible, machine-readable product information—pricing, features, and differentiators had to be inferred from press release headlines and LinkedIn posts.