The agent partially satisfied the task by assembling a coherent explanation of what Armut does, who it serves, and how it differs from competitors—but could not retrieve specific customer-facing pricing or provider commission rates. The homepage and most service category pages returned incomplete HTML due to heavy client-side rendering, forcing the agent to rely primarily on web search results and prior knowledge rather than the site's own content. The agent successfully answered the 'what' and 'who' and 'differentiators' questions but hit a hard wall on pricing transparency.

• ›Step [1] (homepage fetch) returned truncated HTML (4400+ chars hidden) and appeared to be a Next.js app that doesn't expose full content server-side. The meta description and title were readable, but pricing and feature details were not present in the fetchable response.
• ›Steps [6–8, 12–14, 17] (web searches) were the primary content sources for the final answer. These searches returned news articles, Crunchbase profiles, and PitchBook summaries that revealed the merger with ProntoPro, the €15M funding round, the 2M+ professionals figure, and the geographic scope—none of which came from armut.com itself.
• ›Steps [3], [4], [10], [16] (attempted direct navigation to /hakkimizda, /en, /puanlandirmis-ustalar, /temizlik-hizmeti) all failed or returned incomplete/404 responses, indicating the site's URL structure is not crawlable or relies entirely on client-side routing. The agent had to abandon attempts to find pricing details on the actual website.
• ›The agent explicitly acknowledged in its response that 'The website appears to use heavy client-side rendering, so many specific pages return 404 errors' and 'specific customer fees…the website doesn't clearly publish.' This is a direct admission that armut.com does not expose pricing information in a machine-readable or static form.
• ›No explicit pricing data, commission rates, or customer fee structures were found in any fetched response. The agent's description of the pay-per-lead and commission model came from inferred business logic (typical for service marketplaces) and web search context, not from the site itself.
• ›The site is Turkey-focused and Turkish-language; the agent correctly identified this as a navigation barrier but succeeded in understanding the platform's positioning despite the language and client-side rendering challenges.