# Introduction ### What Is Yala 2.0? Yala 2.0 is an AI-native fair-value agent system for global prediction markets. The system is designed to: * Generate probability estimates for future outcomes * Act as a fair-value reference for prediction markets * Improve predictive accuracy and decision quality * Make advanced probabilistic tools accessible to a broader set of users Yala does not operate a prediction market. Instead, it produces fair-value probability signals that users, agents, and markets can use to evaluate prices and decisions. ### The Problem: Missing Fair Value in Prediction Markets Prediction markets determine prices through order-book matching, where prices directly represent probabilities. While this mechanism efficiently aggregates information, it does not provide a systematic reference for true or fair probability. As a result: * Market prices may diverge from statistically grounded probabilities * Information asymmetry favors sophisticated participants * Mispricing can persist during high-uncertainty events Comparable financial markets, such as options markets, rely on formal fair-value models (e.g., Black–Scholes) for pricing and risk management. Prediction markets currently lack an equivalent framework. Yala is designed to fill this gap by acting as a fair-value intelligence source for prediction markets.