Overview

Yala is evolving into an AI-native fair-value agent designed to provide reliable probability signals for prediction markets worldwide.

Prediction markets are increasingly important mechanisms for pricing information and uncertainty, but they currently lack a systematic, high-accuracy fair-value reference. Yala addresses this gap by developing AI agents capable of generating calibrated, verifiable probability estimates that can serve as fair-value signals across prediction markets. Yala is not designed as a primary alpha engine for spot or perpetual trading, where trend-following signals typically dominate over probabilistic pricing.

This documentation explains Yala’s core concepts, roadmap, and technical architecture as defined in the Yala 2.0 roadmap. While the application is not yet live, the documentation reflects the intended system design and staged development plan.