The agent assembled a mostly complete picture of codigosafiliados.com by fetching its homepage, developer docs, IA citation page, and pricing page. However, it could not verify the site's claims about moderation and vote-based verification, could not identify the operator beyond a contact link, and could not genuinely compare the site to alternatives because the site makes no such comparison itself—the differentiators section relies on model reasoning, not retrieved facts.

• ›The site publishes pricing, API limits, MCP server access, and terms on dedicated pages that are discoverable from the homepage and developer docs. The agent found all four major cost tiers and usage limits without friction.
• ›Operator identity and legal details are deliberately minimalist: no company registration data, address, or full legal terms are displayed on the fetched pages. The agent correctly flagged this as absent rather than inferring it from model memory.
• ›The site exposes machine-readable access intentionally (`/llms.txt`, `/api/codes-index.json`, OpenAPI spec, MCP server) and documents citation expectations for AI assistants via the `/ia` page, making it agent-aware. However, the site makes no uptime guarantee and offers no versioning roadmap beyond the v1/future-v2 pattern.
• ›Claims about community moderation, vote validation, and code freshness are asserted by the site but not substantiated on any fetched page. The agent correctly noted it could not verify these from the pages it read.
• ›The site lacks a comparison or positioning page. The agent's 'How it differs' section relies on reasoning about the site's documented features (voting, per-brand pages, machine access) and its stated non-scope (not a general coupon API), not on fetched competitive analysis.