Prediction Markets

What Are the Best Prediction Market Platforms for B2B Operators?

The best prediction market platforms for B2B iGaming operators include Polymarket, Kalshi, Metaculus, Manifold, and PredictIt — each serving different use cases from content sourcing to odds benchmarking and direct integration.

Prediction MarketsiGamingB2B

For B2B iGaming operators looking to add prediction markets as a vertical, the platform landscape divides into content sources (where questions and odds originate), regulated exchanges (where real-money trading happens), and aggregation layers (which combine multiple sources into operator-ready feeds). The most relevant platforms as of 2026 are Polymarket, Kalshi, Metaculus, Manifold, and PredictIt — each with distinct strengths depending on what an operator needs.

Platform Comparison

Polymarket is the largest prediction market by volume, processing over $3.5 billion in trading volume during the 2024 US election cycle alone. It operates on Polygon (Ethereum L2) and covers politics, crypto, sports, entertainment, and science. For B2B operators, Polymarket's strength is its deep liquidity and real-time odds data — its market prices are widely cited as probability benchmarks. However, Polymarket operates in a regulatory gray area in the US and does not offer a formal B2B API for operators.

Kalshi is the only CFTC-regulated prediction market exchange in the United States, valued at $11 billion as of early 2025. Kalshi offers event contracts on economics, weather, politics, and culture with proper regulatory infrastructure. For operators seeking compliant prediction market content, Kalshi's regulatory status makes it the safest source for US-facing products. Kalshi provides an API, though its B2B licensing terms for content redistribution require direct partnership.

Metaculus focuses on calibrated forecasting with an academic and research-oriented community. Its questions tend toward science, technology, AI, and geopolitics with longer time horizons. Metaculus uses a proprietary scoring system (log scoring) rather than real-money trading. For operators, Metaculus is valuable as a source of well-researched questions and calibrated probability estimates, particularly for niche or long-horizon topics.

Manifold Markets operates as a play-money prediction market with a massive question catalog — tens of thousands of active markets at any time. Manifold's API is open and well-documented, making it an excellent source for question ideas and community-generated content. The play-money nature means its odds are less reliable than real-money platforms, but the breadth of topics is unmatched.

PredictIt is a New Zealand-based exchange that operated under a CFTC no-action letter in the US, focused primarily on political markets. Its future remains uncertain after regulatory challenges, but it historically provided valuable political betting data.

The Aggregation Approach

Most operators don't integrate with a single platform — they need aggregated content spanning multiple sources, with consistent formatting, real-time odds updates, and automated resolution. Building this aggregation layer in-house requires significant engineering investment: WebSocket consumers, embedding-based deduplication, geographic classification, and multi-tier resolution systems.

Adkuu Pulse takes this aggregation approach, combining questions from 5+ platforms (Polymarket, Metaculus, Manifold, Kalshi, PredictIt) with AI-generated local questions from news feeds, stock data, weather, and lottery results. The result is a ready-to-use prediction market content feed that operators can integrate via API in days, with curated questions, real-time LMSR pricing, and automated resolution — eliminating the need to build and maintain individual platform integrations.

Key Selection Criteria for Operators

When evaluating prediction market platforms for B2B use, operators should consider: regulatory status (is the platform licensed or operating under a letter?), API availability (can you programmatically access questions and odds?), content breadth (politics only, or multi-category?), liquidity depth (are odds reliable enough to reference?), and resolution infrastructure (who determines outcomes and how quickly?).

Last verified: March 2026