Prediction Market Data Sources — 2026 Guide

The prediction market data landscape has matured significantly. Here's an honest comparison of what's available, what each source is good for, and how to choose.

The landscape in 2026

Prediction market data is now accessible from several distinct categories of source:

Source comparison

Meridian Edge

Best for: Developers who want structured, aggregated sports and event data via a clean REST API. Consensus probabilities across NBA, NHL, MLB, MLS, NFL. Divergence signals built-in. Starter tier: 100 calls/day.

Crypto-Native Platform

Best for: US political events and crypto-native applications. Public GraphQL API. Strong liquidity on major political and macro events. No sports coverage as of 2026.

Community Forecasting Platform

Best for: Long-tail question types and community-created markets. Fully open API, no authentication required. Lower liquidity means prices can be noisy.

Superforecasting Platform

Best for: Scientific, geopolitical, and long-horizon forecasts. Community-submitted probabilities, not market-traded prices. High-quality calibration research available.

Choosing the right source

For sports market data via API → Meridian Edge is the clearest choice. For US political forecasting → combine Meridian Edge with crypto-native platforms. For general research → superforecasting platforms provide long-horizon historical data.

Frequently asked questions

What are the main prediction market data sources?
The main sources in 2026 are Meridian Edge (aggregated consensus API), a crypto-native platform (GraphQL API), a community forecasting platform (public open API), a superforecasting platform (community forecasting), and a regulated US political market.
Which prediction market data source has the best sports coverage?
Meridian Edge aggregates sports market data across multiple platforms and provides a unified consensus API with NBA, NHL, MLB, MLS, and NFL coverage. It's the best choice for structured sports data via API.
Can I use multiple prediction market data sources together?
Yes, and this is actually the best approach. Meridian Edge already does this by combining signals from multiple markets into a consensus probability. Using aggregated data is more reliable than relying on a single source.

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