The agent assembled a partial understanding of Sellfee by combining fetches from the public marketing website with web search results, but could not access the login-protected admin dashboard or detailed pricing documentation. The marketing site (sellfee.app) is a Next.js application that renders minimal static content in the HTML—most information is client-side rendered and inaccessible to direct fetching. The agent successfully identified Sellfee as an Iran-focused social commerce platform for Instagram DM selling, but could not deliver complete answers on pricing tiers, transaction fees, or admin features due to the site's architecture and early-stage public documentation.

• ›Step [7] (besttechie.com article) and [16–18] (sellfee.app homepage fetches) were the primary content sources. The besttechie.com article described Sellfee as an 'eCommerce store' and 'one stop shop gaming solution' but did not provide pricing or admin details. The sellfee.app fetches returned Next.js-rendered HTML with minimal visible text—most content is lazy-loaded via client-side JavaScript and unavailable in the initial HTML payload.
• ›The admin.sellfee.app domain itself returned only an empty React shell (step [1]); no marketing copy, pricing, or feature documentation is accessible without authentication. The agent never found a public pricing page, feature matrix, or admin docs—indicating Sellfee either has no public documentation or keeps it behind login.
• ›The agent relied heavily on web search (40% of sources per the run metadata) rather than site-supplied content, finding scattered third-party references and competitor comparisons. The site structure does not publish machine-readable pricing, feature lists, or comparative positioning—the agent had to infer Sellfee's positioning from marketing headlines and one third-party review article. The Iran-first positioning was inferred from language tags (RTL, Farsi lang attributes) and payment gateway hints, not from explicit marketing copy in the fetched HTML.