The agent satisfied the task by assembling a coherent explanation of AFIP/ARCA from fragmented sources: the official Argentina.gob.ar portal pages, Wikipedia articles, and third-party regulatory commentary. The afip.gob.ar domain itself was largely unhelpful—it redirects to a landing page with only metadata and keywords visible in the fetched response—forcing the agent to rely on web search results and the Argentina.gob.ar mirror to answer core questions about what the agency does, who it serves, and its pricing model. The site's navigability was poor for direct discovery; the agent succeeded only by pivoting to external sources and prior knowledge.

• ›Steps [10], [12], [13] (argentina.gob.ar ARCA pages) contained the most structured information about services (tax collection, customs, social security, employer services, import/export). These pages were discoverable only via web search, not from the afip.gob.ar homepage.
• ›Steps [14], [18] (Wikipedia articles) provided historical context and confirmed the October 2024 AFIP→ARCA transition; these were essential for explaining the organizational change and were explicitly cited as sources.
• ›Step [16] (Sovos regulatory update) clarified the AFIP-to-ARCA transition and was cited as a source, confirming the agent used external expertise rather than relying on official website content.
• ›The afip.gob.ar domain [steps 1, 2] contained only redirect logic and metadata keywords in the HTML; no substantive service descriptions, pricing information, or organizational structure were accessible from the official domain. The agent had to work around this by redirecting to argentina.gob.ar and external sources.
• ›Pricing information was never explicitly stated on any fetched page; the agent inferred 'free government agency' from prior knowledge and the fact that no pricing page existed, not from site content.
• ›The site's structure—split across afip.gob.ar (legacy redirects), arca.gob.ar (also redirects), and argentina.gob.ar/arca (live service pages)—created friction; the agent had to guess and search to find the actual live pages.