
In prediction markets, The House is responsible for setting up the market structure. This includes defining events, outcomes, trading rules, and how resolution will work.
The House does not represent a forecast or belief. Its role is operational, ensuring the market functions smoothly and fairly. The House may collect fees, manage liquidity mechanisms, or oversee resolution processes. These responsibilities directly affect incentives and participant behavior.
Trust in The House is important for market participation. Clear rules and consistent execution improve confidence in prediction markets data.
For analysts, The House provides context. Market behavior can vary depending on fee structure, resolution design, and governance choices made by the operator.
The House shapes how prediction markets operate. Understanding its role helps users interpret incentives, fees, and reliability of market outcomes.
In prediction markets, The House refers to the organization or protocol that runs the market. It defines rules, manages infrastructure, and oversees resolution. The House does not take positions on outcomes. Its role is to enable trading and settlement.
Decisions made by The House influence liquidity, volatility, and participation. Fee levels, market design, and resolution methods all shape prediction markets data. Analysts must account for these factors when comparing markets. Different Houses can produce different market dynamics.
Prediction markets APIs expose data generated under specific market operators. Knowing who The House is helps analysts interpret structural differences in the data. It provides context for fees, resolution timing, and governance behavior. APIs allow these operator-level effects to be analyzed systematically.
On Polymarket, The House defines how events are listed, how trades are executed, and how outcomes are resolved. These decisions influence how probabilities behave across markets.
FinFeedAPI’s Prediction Markets API provides prediction markets data across markets operated by different Houses. Analysts can study how operator-level rules affect liquidity, probabilities, and resolution outcomes. This supports comparative analysis, market evaluation, and structural research. The API enables consistent analysis of House-driven effects across prediction markets.
