The agent partially fulfilled the task by identifying MEPEX's core business (exhibition stand construction) and reverse-engineering the app's module structure from configuration files, but could not fully evaluate pricing, commercial model, or user experience since the app is login-protected with no public documentation. The site itself (mepex.com.ar) offered minimal information; the agent had to guess at internal URLs and extract intelligence from developer configuration files to build its answer.

• ›Step [2] (mepex.com.ar homepage) and [12] (LinkedIn company profile) provided only basic business identity—that MEPEX builds stands and exhibitions. Neither source contained service details, pricing, or product positioning.
• ›Steps [17], [18], [19] were content-bearing developer artifacts (manifest.json, config.js, data.js) that revealed the app's module structure, role hierarchy, and backend architecture—but these were accessed by the agent guessing URLs (/manifest.json, /config.js, /data.js), not discovered through site navigation or documented entry points.
• ›The site published zero public documentation, pricing pages, or feature descriptions. The app domain (app.mepex.com.ar) returns only a login redirect; no help, about, pricing, or FAQ pages exist. The agent could not answer 'how it's priced' or 'how it's different from alternatives' because these answers are not published anywhere.
• ›The agent had to bridge missing information by inferring that the system is internal-only (not a commercial SaaS) based on the presence of hardcoded user names and role assignments in config files—a valid inference but one that required reading developer code rather than product marketing.
• ›No structured data (JSON-LD, OpenGraph, or API documentation) was published to help agents understand the product's commercial intent, target users, or positioning.