The agent assembled a reasonable high-level explanation of Nexotips Infotech by fetching the homepage, services page, and about page, but had to work around significant gaps in the site's structure—missing pricing, portfolio, and contact pages—and relied heavily on prior knowledge and third-party sources (cited but not fetched during the run) to fill in details about pricing, founding date, and company positioning. The site itself was only partially navigable and did not expose the information needed to fully satisfy the task without external research.

• ›Step [1] (homepage) returned boilerplate meta tags and truncated HTML; the actual service descriptions, pricing models, and differentiators were not visible in the response snippet, forcing the agent to infer from title/description tags alone.
• ›Step [2] (services page) returned similar truncated HTML with no actual service list or pricing details visible in the response; the agent cited 89 services but had no source for this number in the fetched content.
• ›Steps [3], [5], [6] revealed critical pages are missing (404s for /pricing, /portfolio, /contact), leaving the site's information architecture incomplete and forcing the agent to state 'unclear' and 'couldn't find' for pricing, portfolio, and process details.
• ›Step [4] (about page) also returned truncated HTML with no substantive content visible about company history, team, or differentiators; the founding date (2020) and office locations (Surat, Long Beach, Sydney) were not extracted from the fetched response but appear in the final answer, indicating they came from prior knowledge or the third-party sources mentioned in the search results.
• ›The agent did not actually fetch the third-party sources it cited (TechBehemoths, Clutch, The Manifest, LinkedIn); these were discovered via the search results in step [8] but the agent's sources attribution implies it read them, which is unsupported by the trajectory.
• ›The site does not publish transparent pricing, a portfolio, case studies, team information, or client testimonials—critical signals for discovery-evaluation tasks—requiring the user to 'contact them directly' to assess fit.