The agent assembled a coherent explanation of SigRank/SignalAF by stitching together fragments from the sigeconomy.com site (homepage, docs pages, leaderboard interface) and supplementary content from signalaf.com, relying heavily on prior knowledge and web search to fill gaps. The site's pages returned boilerplate HTML with truncated content, forcing the agent to infer structure and purpose from partial fetches, URL patterns, and external references rather than from readable, machine-accessible copy.

• ›Steps [1, 2, 3] fetched sigeconomy.com's homepage, pricing, and about pages but returned only truncated HTML scaffolding—the actual content (likely rendered client-side) was not accessible. The agent could not extract pricing, positioning, or feature details from these primary pages.
• ›Steps [4, 5, 6] fetched /how-it-works, /compare, and /operator-evals from sigeconomy.com and found working pages (200 responses), but again with truncated HTML. The agent had to rely on URL structure (/how-it-works, /compare, /operator-evals) as hints to what the site covers rather than reading prose.
• ›The agent discovered signalaf.com was the real operational platform via a link in step [6] (/operator-evals). Steps [12, 19] fetched signalaf.com/score and /token-telemetry, which also returned truncated HTML but the URLs themselves conveyed meaning (token telemetry, scoring/yield concept).
• ›Web searches [9, 10, 14, 16, 18] were content-bearing: the search result snippets and linked pages (e.g., step [11] to signalaf.com/alternatives/ccusage-alternatives, step [19] to /token-telemetry) provided the actual substance—comparisons to ccusage, definitions of Yield metric, multi-platform support claims, and privacy positioning.
• ›The agent explicitly cited steps [11, 18, 19] in its final Sources section, all of which came from web search discovery rather than direct site navigation. This reveals the site itself did not publish clear, machine-readable positioning or feature lists; the agent had to reconstruct understanding from external references and URL conventions.
• ›The final answer includes confident claims (e.g., Yield formula, MIT license, free pricing, token telemetry metrics) that were not visibly retrieved from any fetched step—these likely came from prior knowledge or inferred from snippet context, not from readable site content.