Prediction markets are often framed as betting platforms. This article argues they are evolving into something far more important: structured information-pricing systems, and that fair value is the catalyst for that transformation.
This article outlines Yala’s multi-stage roadmap, explaining why the platform is being built incrementally, from early fair value signals to a full multi-agent probabilistic system, and how each phase de-risks the next.
AI is reshaping prediction markets by shifting competition from narrative conviction to measurable calibration. This article explores how AI changes the structure of prediction markets and why fair value agents represent a new class of market participant.
A first-principles explanation of fair value in prediction markets, why price is not probability, and how fair value should be computed under real-world constraints.
Prediction markets price information efficiently, but lack clear fair-value benchmarks. Explore why fair value matters and how AI agents can improve probability pricing.