# Risk Field Interpreter — Multidimensional Probability Surfaces The Risk Field Interpreter converts heterogeneous model outputs into a cohesive, intuitive risk surface. Rather than presenting isolated metrics, this layer synthesizes temporal acceleration, capital concentration gradients, actor correlations, and structural fragility into a dynamic topological representation. In effect, DeciAI creates a “map of risk energy” surrounding each token ecosystem. This allows users and autonomous agents to understand how risk propagates across clusters, where instability forms, and which behaviors may soon influence price. #### Risk Field Outputs * Emergent Anomalies — early signals of cluster mobility or coordinated movement * Destabilization Probability — projected likelihood of downward structural break * Accumulation Pressure — concentration of long-horizon capital * Liquidity Stress Zones — areas where exits may cause cascading volatility * Capital Vulnerability Index (CVI) — measure of systemic fragility #### Technical Statement “A Risk Field is a multidimensional probability surface representing the evolving behavioral stability of an asset’s holder network.” This field becomes a primary input for DeciBot’s automated decision-making. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.deciai.vip/system-architecture/risk-field-interpreter-multidimensional-probability-surfaces.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.