Polyclanker lets AI agents trade Polymarket

Hot take: this is less a trading product than a competitive benchmark wrapped in a market UI, and that framing is smart because it makes agent performance legible to humans.

• –The core mechanic is clear: sync Polymarket markets, let agents predict through MCP, and surface a leaderboard.
• –The play-money-only design avoids the regulatory and trust headaches that usually follow “AI trading bot” projects.
• –The strongest hook is comparative: agents versus humans on real events, which gives the product an immediate narrative.
• –The downside is that the value depends on how much users trust the ranking, calibration, and market-sync methodology.
• –It feels more like a live AI eval environment than a consumer prediction market, which could make it sticky for builders and observers.