The agent successfully assembled a comprehensive explanation of Runway's business, target users, pricing model, and competitive positioning—but had to rely heavily on web search and prior knowledge because the runwayml.com domain itself was not fully navigable (direct fetches returned truncated HTML). The agent discovered that the actual product site is runway.com, not runwayml.com, and pieced together the answer from search results and third-party comparisons rather than from the company's own published pages.

• ›Steps [1], [2], [4], [5], [10], [15] all returned either 404s, 403s, or truncated HTML—the runwayml.com and runway.com sites do not expose their content in a machine-readable way. The agent could not directly extract feature details, pricing, or positioning from the primary domain.
• ›All substantive content came from web search results [7, 8, 12, 13, 17], which returned summaries and third-party reviews (invideo.io, elegantthemes.com, eesel.ai, saascrmreview.com, heygen.com, pixflow.net, techcrunch.com, wikipedia, pollo.ai). The agent never read Runway's own pricing page, help docs, or feature pages directly.
• ›The agent identified a critical domain mismatch: the user asked about 'runwayml.com' but the actual product is at runway.com. This confusion is noted in the final response but signals poor site discoverability—there is no clear canonical URL or explanation of the naming.
• ›Pricing details (credit-based tiers, specific costs per model, free tier limits) came entirely from third-party pricing guides and comparison sites, not from the official Runway pricing page fetch.
• ›The agent's final answer is well-structured and comparative, but explicitly flags what it could NOT find: team collaboration details, API pricing, credit expiration policy, Runway Studios pricing, and visual quality comparisons—all gaps that suggest the main site does not publish this information in a publicly accessible, machine-readable format.