The agent successfully compiled a comprehensive explanation of iResearch Services by relying almost entirely on web search results and prior knowledge, as the website's direct HTML fetches were incomplete or design-heavy and did not surface usable content. The agent pieced together what the company does, who it serves, and how it differs from competitors, but explicitly flagged that pricing information is not publicly disclosed—a genuine gap rather than a retrieval failure. The site proved poorly navigable for machine reading; the agent had to work around opaque pages by conducting targeted searches.

• ›Direct fetches of iresearchservices.com returned mostly HTML boilerplate and CSS link tags (steps [1], [3], [4], [5], [10], [11])—the agent could not extract meaningful content and pivoted to web search, which proved more fruitful.
• ›Web searches (steps [7], [8], [13], [16], [17], [19], [21], [23]) returned snippet previews and URLs that the agent used to infer the company's positioning, service model, client base, and revenue scale. The agent never actually fetched the full content of these search results; it assembled the narrative from search metadata and result titles alone.
• ›The agent correctly identified and surfaced a genuine business opacity: iResearch Services does not publish pricing tiers on their site. Rather than hallucinating, the agent stated this explicitly and explained the business model (enterprise-custom engagement pricing) based on company size and industry norms—a reasonable inference but not a direct finding.
• ›The agent's final response cites sources (iresearchservices.com homepage, /our-services, /about-us, Growjo, LinkedIn, Crunchbase, and a blog post) but none of these were successfully scraped in-run; they were referenced from prior knowledge, search results, or standard SaaS intelligence databases. The blog result (step [23]) was the only search snippet that surfaced specific company positioning language.
• ›The site's opacity on methodology, case study details, and service breakdown forced the agent to rely on inferred differentiators (research-first, proprietary methodology, full-service integration) rather than directly stated claims, limiting confidence in those characterizations.