The agent could not fully satisfy the task because Quarry's website is heavily JavaScript-rendered and does not expose its core business information (pricing, features, differentiation) in static or fetchable HTML. The agent assembled a partial answer by finding the sitemap, visiting several pages (/plan, /learn, /about, /contact), and relying heavily on prior knowledge and web search inference, but ultimately could not retrieve pricing details, specific feature descriptions, or concrete differentiation claims directly from the site's content.

• ›The sitemap (step 34) was the only structural discovery tool that worked; it revealed pages like /plan, /learn, /learn/glossary, and /tools/hubzone. However, fetching these pages (steps 38–40) returned only HTML skeletons with no visible text content, indicating content is client-side rendered.
• ›Pricing information—the core answer to 'how it's priced'—was completely absent from the site. The /plan page (step 38) returned only boilerplate HTML; the agent had to admit failure and recommend contacting support directly.
• ›The agent filled gaps using 53% prior knowledge and 41% prior artifacts rather than fresh site content, indicating the site did not surface its own positioning clearly. Web search (6%) yielded competitor names (GovWin, HigherGov, FedScout, SamSearch) but no comparison anchored in Quarry's actual claims.
• ›The site's robots.txt (step 35) disclosed internal routes (/account, /billing, /profile, /pipeline, /pursuits, /checkout) but these are all disallowed and inaccessible to the agent, further limiting discovery of real functionality.
• ›The agent's final answer was largely a reverse-engineered inference from page titles, URL structure, and domain name rather than explicit content from the site—e.g., 'reads SAM.gov nightly' and 'renders verdicts' appear to be deduced from page slugs like /tools/hubzone, not extracted from body text.