The agent successfully understood rdyrct's core purpose, pricing, and differentiation by combining the homepage metadata, pricing page title, GitHub README, and source code exploration. The rdyrct.com website itself is a single-page React app that does not render full content in HTML fetches, forcing the agent to rely on prior knowledge and GitHub artifacts to assemble a complete answer. Despite this friction, the agent delivered a comprehensive, well-sourced explanation.

• ›Step [1] (homepage) and [2] (pricing page) returned only HTML skeletons with meta descriptions—the actual pricing table and feature list were rendered client-side and inaccessible to the agent's fetch. The agent had to infer structure from meta tags alone (e.g., 'Free, Hobby and Pro plans').
• ›Step [13] (GitHub README) was the primary source for authoritative product information: what it does, team-based positioning, Cloudflare edge infrastructure, self-hosting capability, and open-source nature. This resource was discovered via the agent's own prior knowledge of GitHub conventions, not surfaced by rdyrct.com itself.
• ›Step [11] (GitHub repo listing) confirmed the product exists as open-source and pointed to the README, but the site offers no link to its own GitHub from the public domain, making this an off-domain discovery path.
• ›The pricing table in the final response (Free $0 / Hobby $4 / Pro $9 with specific features per tier) came from meta descriptions and README inferences, not from a machine-readable pricing data structure. The agent had to reconstruct it from fragments.
• ›rdyrct.com does not publish comparison content, case studies, or clear self-hosting guides on its public pages, leaving the agent to infer differentiation from architecture (Cloudflare Workers) and licensing (MIT open-source) rather than explicit marketing claims.