Yala’s ‘Fair-Value’ AI Agent Wants To Enhance Accuracy In Prediction Markets

🔵 Polymarket: 77% YES

Considering strike proximity, short time-to-expiry, and recent realized range/vol:

→ Market is underpricing YES pic.twitter.com/XwsEZzwmLs

— Yala (@yalaorg) December 22, 2025

It’s similar in some ways to what sports bettors do. When betting on soccer games, professional gamblers always look for “value” in the odds, rather than simply choosing who they think will win the game. If they estimate a team’s chances of winning a game is one-in-ten but the bookie is offering offs of 15/1, they take the bet every time because it offers value. After all, soccer is unpredictable and surprises happen frequently.

Evolving intelligence

Yala 2.0’s roadmap describes how the agent will build up its intelligence step-by-step. The initial phase is focused on closed, internal testing and rapid iteration, and will initially use a model that’s based on historical data, news analysis, smart-money tagging and social media sentiments. The initial focus will be on digital asset prices and sports outcomes, with Yala refining the model over time, based on the accuracy of its predictions. Its early probability estimates will be shared via X, as part of its transparent approach to calibrating the underlying model.

The second stage will see the public launch of Yala 2.0 and its adoption of a modular architecture. During this period, Yala 2.0’s performance will be publicly verified and continuously measured in live markets with a controlled risk limit. Users will be invited to interact with the agent by entering basic prompts, such as the market type, target conduction and time horizon to generate a probability estimate.

At this stage, Yala 2.0’s architecture will evolve to a multi-agent design that’s coordinated by a central orchestrator agent, with separate modules for date ingestion and processing, predictions and safety and governance.

Finally, stage three will mark full maturity, where the agent expands to become a comprehensive “swarm framework” made up of a supervisor agent that governs a suite of specialist worker agents to determine probabilities across every domain. It’s at this stage that Yala 2.0 will go beyond risk-neutral pricing to generate more subjective fair-value estimates, incorporating additional micro-factors into its calculations.

Yala 2.0 will enhance the utility of Yala’s native $YALA cryptocurrency, which is destined to become the agent’s governance token and a “value-alignment asset”. Holders will be able to stake $YALA to participate in votes and token reward distributions tied to the agent’s expansion. Meanwhile, $YALA’s tokenomics structure will evolve, with platform revenue from performance and usage fees allocated to token buybacks.

Ultimately, Yala wants to become the “fair-value operating system” for markets like Polymarket and Kalshi and foster deeper liquidity and more accurate pricing across the fast-growing prediction economy.

Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.