Agent successfully assembled a coherent explanation of ArcenPay's purpose, audience, and differentiation by combining content from the homepage and main marketing site, but encountered navigation friction on the docs subdomain (multiple 404s) and had to work around incomplete/vague pricing disclosure and missing competitor positioning.

• ›Steps [0] and [3] (homepage fetches) returned structured navigation and feature descriptions but no pricing or competitor details, forcing the agent to pivot to the main site (step [5]) for business positioning.
• ›Steps [1], [2], [4] returned 404s despite being listed in homepage navigation (/pricing, /getting-started, /core-concepts), indicating broken or non-existent doc routes that blocked direct drilling.
• ›Step [5] (arcenpay.com main site) was fetched from model memory, not surfaced by docs site links, and proved essential for obtaining pricing tiers, target customer segments, and differentiator framing that were absent from docs.arcenpay.com.
• ›Agent correctly identified and called out the vagueness of the pricing model (three tier names but no actual fee structure published) and the absence of explicit competitor comparisons, grounding both gaps in what it searched for but didn't find.
• ›The agent successfully synthesized multi-chain support, AI agent payments, wallet-native design, and non-custodial settlement as differentiators by extracting technical claims across steps [0], [3], [5], [6], but had to supply comparative framing (vs. Stripe) from model knowledge, not site content.