Polymarket User-to-User Matching Model

This matching design makes Polymarket look more like an exchange than a sportsbook. The platform does not need to keep a risk book or reserve capital to pay winners, because each contract is created when one user buys and another user sells. That lets Polymarket run with lower fixed costs, push fees down, and scale liquidity by attracting more makers instead of deploying house balance sheet.1 2 3

• In practice, liquidity comes from users posting resting limit orders, not from Polymarket taking the other side. Maker rewards are used to keep those orders live and spreads tight, so the product feels instant even though every fill is still user against user.1 2
• That is the clearest contrast with Kalshi. Polymarket runs on USDC and peer to peer crypto rails, while Kalshi operates on fiat rails with a CFTC regulated clearing setup and institutional market makers, which brings more compliance overhead and higher effective take rates.2 3
• The model also explains pricing power. Polymarket was able to start fee free, then add low taker fees while keeping makers at zero or better. By mid 2026 its effective monetization still ran below Kalshi's, even as volume reached billions per month.1 3

The next step is a deeper separation between matching engine and distribution. If Polymarket keeps being the lowest cost place to match event risk, more consumer apps, brokers, and data buyers can sit on top of its order flow, turning the exchange layer itself into the durable asset.1 3