The agent assembled a mostly complete answer to the open-ended discovery task by combining prior knowledge with web search results, since the developer portal itself is a React SPA that returns only an HTML shell. The agent successfully identified what Grubhub's developer platform does, who it's for, and flagged that pricing is opaque—but could not retrieve pricing details or differentiation from the site itself, relying instead on inferred context and search snippets. The site's architecture (client-side rendered) and access restrictions (403 blocks on support/sales pages) significantly hampered machine-readable discovery.

• ›Steps [1], [3], [4], [5] all returned identical React SPA shells with no substantive content—the portal does not publish documentation as static HTML or machine-readable artifacts, forcing the agent to infer structure and rely on prior knowledge.
• ›Steps [7] and [9] (web search) produced the most actionable results: search snippets and URLs that the agent cited as sources, including API Tracker and the Zendesk help center. These were discovered via search, not by the site itself surfacing them.
• ›The agent cited its sources explicitly, but most URLs (developer.grubhub.com/docs/..., get.grubhub.com/products/tech-integrations) were blocked (403) or returned identical SPA shells, indicating the site publishes little public static documentation.
• ›Pricing remained opaque throughout: no published tiers, rates, or cost structure were found. The agent correctly identified this as a gap and stated 'must contact sales'—a candid assessment based on absence of evidence rather than negative evidence.
• ›The agent's final answer synthesizes inferred positioning (POS integration focus, normalized endpoints, onboarding API) and is internally coherent, but is built more on reasoned extrapolation than direct retrieval from the site.