The agent satisfied the task by assembling a comprehensive explanation of Polymarket from web search results and help documentation, since the main polymarket.us site itself returned only truncated, compressed HTML unsuitable for extraction. The agent successfully explained what Polymarket does (peer-to-peer prediction markets), who it's for (international users via crypto, US users via regulated app with KYC), pricing (taker fees of $1–$1.75/100 shares, zero maker fees), and how it differs from alternatives (Kalshi, Manifold, etc.). However, the site's own pages were not machine-readable, forcing heavy reliance on external sources and prior knowledge.

• ›The main polymarket.us site (steps [1], [3], [4], [5]) returned compressed, truncated HTML that contained no extractable text content, making it unusable for answer construction.
• ›All substantive information came from external web searches (steps [7], [8], [9], [18], [20]) pointing to third-party help centers and documentation, or from fetches of help.polymarket.com and docs.polymarket.com (steps [11], [17])—not from polymarket.us itself.
• ›The site's agent-readiness is poor: Polymarket publishes structured information in help.polymarket.com and docs.polymarket.com, but polymarket.us itself serves no machine-readable content, only client-side-rendered pages. The agent had to pivot to web search and external documentation to answer the query.
• ›The agent clearly identified gaps it could not resolve (relationship between polymarket.us/polymarket.com/Polymarket US app, exact market resolution process, deposit minimums, withdrawal timelines), showing awareness of incomplete site coverage.
• ›Web search acted as a discovery and routing layer: 50% of fetches came from prior artifacts (the search result URLs), 38% from web search itself, suggesting the site does not surface its own documentation clearly from the main domain.