The agent worked around a Cloudflare-blocked main domain by relying on web search results and documentation fetches to assemble a comprehensive explanation of Square Cloud's service, pricing, features, and market positioning. While the primary website was inaccessible, search results and the documentation site provided enough fragmentary information to construct a coherent answer, though some details (free tier status, enterprise plan specifics, USD pricing) remained unclear or unverified.

• ›Step [3] (web search) was the critical discovery vector—it surfaced the pricing page URL, about page, and comparative context that the agent could not fetch directly. The search results themselves contained snippet-level information (e.g., 'Pricing: Plans from R$12.49/month') that populated parts of the answer.
• ›Step [10] (second web search for Discord bot hosting) refined the agent's understanding and surfaced the docs.squarecloud.app domain, which was the only successful direct fetch ([12]) and returned structured documentation on bot hosting. This step proved essential because the main domain was completely inaccessible.
• ›Step [12] (docs.squarecloud.app/en/services/bots) was the only successful fetch of substantive content, but the response was truncated in the trajectory log. The agent cited this URL as a source, confirming it contributed to the final answer, likely providing bot-specific features and deployment details.
• ›The site's Cloudflare protection made the main domain ([1], [5], [6], [7]) completely unusable for direct fetching, forcing 80% reliance on web search. This is a major agent-readiness friction point—the pricing and positioning pages were unreachable despite being critical to the task.
• ›The agent had to infer competitive positioning (vs. Heroku, Railway, Replit) from third-party comparison articles rather than from Square Cloud's own marketing; this represents unverified secondhand assembly rather than primary source material.
• ›Pricing transparency gaps identified by the agent (Brazilian Real–only quotation, unclear free tier, opaque enterprise tiers) suggest the site does not expose a complete, machine-readable pricing model—the agent had to piece together fragmentary values from search snippets and infer details.