The agent successfully gathered comprehensive information about itseasy.co by fetching markdown versions of their core pages (home, about, pricing) and their documentation site. The site publishes structured, machine-readable markdown versions of key pages that made extraction straightforward, though the HTML versions were truncated and less useful. The agent assembled a complete picture of what Easy does, who it's for, pricing structure, and key differentiators—satisfying the task fully.

• ›Steps [8], [9], [10] returned well-formatted markdown with complete page content (title, description, body), making them highly content-bearing. These markdown endpoints proved to be the agent's primary information source and were explicitly cited in the final response's Sources section.
• ›The agent initially tried to fetch HTML versions (steps [1], [2], [4]) which returned truncated responses, forcing a pivot to markdown endpoints. The site's decision to expose .md versions of pages was critical to task success—without this, the agent would have struggled with incomplete HTML.
• ›Step [13] (docs.itseasy.co) was fetched but not heavily relied upon; the core business information came from the main site's markdown pages rather than API/integration docs. The homepage and about/pricing pages contained all necessary information for a discovery-evaluation task.
• ›The agent did not require web search results (step [12]) to construct its final answer—it had already gathered sufficient information from direct fetches. This indicates the site's own content was comprehensive enough to answer the task without external context.
• ›The agent identified genuine gaps (cashback mechanics, onboarding details, international scope, instant payout pricing) directly from what the markdown pages did NOT contain, showing good awareness of missing information rather than hallucination.