Fair Value Intelligence for the Prediction Economy
AI-calibrated, fair value forecasts built from market signals and global data.
What Is Yala's Fair Value Agent?
An AI agent that derives fair value probabilities from market and on-chain signals to help users trade more efficiently.
Architecture
Yala's fair value agent ingests multi-source signals, unifies them into features, runs AI probability models, applies strategy and safety checks, and delivers an end-to-end fair value prediction.
1
Early Stage — Establishing Fair Value Foundations
- Closed beta of Yala's first fair value agent
- Early probability signals released on X
- Core calibration and baseline models established
2
Mid Stage — Public Fair Value AI Agent
- Launch modular multi-agent architecture
- MCP APIs + Telegram/X bot interfaces
- Live trading validation with expanded factor signals (IV, Liquidity, Bayesian)
3
Late Stage — Multi-Agent Fair Value System
- Full probability distributions (confidence intervals, PDFs)
- Swarm architecture with Supervisor + Worker Agents
- Dual fair value system + strategy vaults and agent tokenization
Backed by the Best
