The agent partially understood khelokanpur.com but had to work around a largely inaccessible website. The homepage and /about page returned only HTML scaffolding with no readable content; the agent discovered pricing and venue details only by directly querying the API endpoint (/api/v1/venues), which required prior knowledge of the API structure. Most standard informational pages (pricing, FAQ, blog, how-it-works) returned 404s, forcing reliance on reverse-engineered API data rather than published marketing materials.

• ›Step [1] (homepage) and [3] (/about) returned full HTML but with no accessible text content—the pages are client-side rendered and the agent could not extract meaningful information about what the company does, positioning, or differentiation.
• ›Step [28] (API call to /api/v1/venues) was the only content-bearing fetch and returned structured JSON with venue listings, pricing, amenities, and ratings. This was not a published marketing resource but a discovery API that the agent accessed through prior knowledge, not through navigation.
• ›The site failed to surface any pricing page, FAQ, how-it-works, or blog—all returned 404. The agent could not verify claims about UPI support, real-time availability, or competitive advantages from published materials; these were inferred from API data and prior knowledge assumptions.
• ›Web search (steps [7], [8], [10], [21], [22], [30]) yielded no results for 'KheloKanpur' itself and returned competitor platforms (Playo, GW Sports, LOBBI, TurfBooking) instead, indicating the site has minimal online presence or discoverability.
• ›The final answer relied on 36% previous artifacts (likely prior knowledge of the site structure) and 64% prior knowledge. The agent had to construct most of its narrative (what it's for, how it's different, why pricing is unclear) from API data and assumption, not from published content.