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.