Building a Real-Time Consensus Engine for Prediction Markets — Architecture Deep Dive
python
dev.to
Prediction markets are now a $1.3 trillion industry. But if you want to know the consensus probability on an event — a basketball game, a Fed rate decision, an election — you have to manually check a dozen different platforms. I built Meridian Edge to solve this. It's a REST API that aggregates prediction market data from regulated sources and computes a real-time consensus probability for each event. This post walks through the architecture. The problem Prediction market data is f