Late Stage: Multi-Agent Fair-Value System

In the late stage, Yala evolves into a comprehensive multi-agent fair-value system.

Expanded Inputs

• Any asset or event category

• Broader prediction-market landscape (crypto, equities, elections, esports, macro)

• Future time horizons

Outputs

• Probability density functions (PDFs)

• Multi-factor fair-value curves

• Confidence intervals

• Distribution shapes

Supervisor and Worker Agent Architecture

Supervisor (Orchestrator) Agent

• Parses user queries

• Assigns tasks to Worker Agents

• Monitors execution

• Aggregates outputs into final results

Worker Agents

• Fair-Value Modeling Agent

• Data Collection Agent

• Sentiment Analysis Agent

• Smart-Money Analysis Agent

• Event Tracking Agent

• Options Analysis Agent

• Simulation Agent

• Decision Aggregation Agent

Together, these agents generate explainable, multi-factor fair-value assessments.

Private-Information Adjustment

The late stage introduces:

• Insider / Private-Information Adjustment Agent

• Encrypted vector storage

• Confidential RAG pipelines

This allows users to securely contribute private signals that refine subjective fair values.