The agent gathered foundational information about Alpha Mortgages from the homepage and web search results, but encountered significant friction: multiple internal pages returned 500 errors, pricing details were not publicly disclosed, and competitive differentiation had to be inferred rather than explicitly stated on the site.

• ›Step [1] was the only successful direct fetch of site content; it yielded the core service description and target audience, but the homepage alone does not articulate detailed pricing or differentiation.
• ›Steps [2], [3], [4], [9] all returned HTTP 500 errors, indicating the website has technical issues that prevented access to deeper pages (/pricing, /about, /services, learn subdomain). The agent correctly diagnosed this as a site problem, not an authentication barrier.
• ›The agent filled the pricing gap entirely with model memory and phone contact info from search results (step [7]), not from fetched site content; the actual pricing model remains unknown.
• ›Competitor information (step [8]) came from generic web search results about the Israeli mortgage market, not from ALPM's own positioning or comparison claims. The agent had to infer differentiation from fragmentary homepage claims ('transparency,' '24-72 hours,' 'family treatment').
• ›The agent correctly noted that ALPM's online presence is limited (calculator app, learning center subdomain) and suggested a traditional phone-based business model, but this inference was not validated against fetched content on those assets (learn.alpm.co.il also 500'd).