The agent successfully gathered enough information to explain Duo's core purpose, pricing tiers, target audience, and competitive positioning, but relied heavily on web search results and prior knowledge to fill gaps in what the site's HTML pages actually contained. The Duo website itself returned valid pages for homepage, pricing, features, use-cases, and differentiation, but the fetched HTML was truncated (showing only metadata and headers, with '...4400 more chars' elision), making it unclear whether the site's actual content was accessible or whether the agent had to reconstruct the explanation from search results and external sources.

• ›Steps [1], [3], [4], [7], [12], [13], [17] all fetched Duo's own pages (homepage, pricing, product, features, use-cases, why-duo) and returned HTTP 200, but all responses were truncated at exactly 4400 characters after the header metadata. The agent could not extract substantive content from these pages and had to rely on fragments or prior knowledge to build its answer.
• ›Steps [9], [10], [15] were web searches that provided comparison frameworks (Duo vs Okta, pricing aggregators, feature lists). These searches returned link titles and snippets that directly informed the competitive positioning and tier breakdown in the final answer — search results were more content-bearing than Duo's own site.
• ›The agent's final answer cites all 9 sources (including Duo's own pages), but the trajectory shows that the homepage, pricing page, features page, and why-duo page were inaccessible in machine-readable form; the agent synthesized from search results, truncated page headers, and prior knowledge (38% of fetches came from prior knowledge). The pricing tier names and costs ($0, $3, $6, $9) appear to have been sourced from search results or prior knowledge, not from the fetched Duo pricing page.
• ›The agent flagged three confusions: exact feature breakdowns by tier (couldn't parse from pricing page), industry focus (not prominently visible), and integration lists (not found on accessible pages). These gaps align with the HTML truncation — substantive content was not delivered by the site's own pages.
• ›The site's navigation was straightforward (pricing, features, use-cases, why-duo URLs exist and return 200), but the site itself did not surface machine-readable pricing detail, feature matrices, or competitor comparison data. The agent had to augment with web search to answer the task completely.