# 5.2 Three-Axis Computational Engine | Core Operational Structure

All proposal parameters, module adjustments, and policy recommendations must undergo three-axis review and comparative evaluation by the AI Consensus Computational Layer:

<table data-header-hidden><thead><tr><th width="60"></th><th width="173"></th><th></th></tr></thead><tbody><tr><td><strong>Axis</strong></td><td><strong>Name</strong></td><td><strong>Description</strong></td></tr><tr><td>1</td><td>Price Forecast</td><td>Analyzes market prices, premium fluctuations, market depth, and trading volume to forecast future protocol price trends and identify potential adjustment points.</td></tr><tr><td>2</td><td>Behavioral Metrics</td><td>Analyzes community participation, voting preferences, proposal responses, and sentiment trends to measure consensus momentum and decision confidence.</td></tr><tr><td>3</td><td>Risk Intelligence</td><td>Simulates module failure risks, extreme market scenarios, and execution anomalies to provide early warnings for high-risk parameters and emergency response solutions.</td></tr></tbody></table>

Through three-axis cross-calibration and result weighting, ARK can derive the system's safety boundaries, risk intervals, and recommended control points from the data, enabling real-time governance support.