CAILculator

关于

CAILculator is a Model Context Protocol (MCP) server that provides AI agents with access to "Applied Pathological Mathematics™", leveraging higher-dimensional Cayley-Dickson algebras (up to 256D) and Clifford algebras. It enables computation and analysis of structures like zero divisor patterns and non-associativity, which are traditionally deemed "pathological" but are reinterpreted here for computational advantage in AGI research. The server offers tools for transforming data into high-dimensional spaces, detecting intricate patterns, performing direct algebraic calculations, and generating visualizations, alongside specialized financial analysis features designed for detecting structural shifts and market regimes.

主要功能

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• High-Dimensional Algebraic Computation (up to 256D Cayley-Dickson and Clifford algebras)
• Proprietary Chavez Transform for High-Dimensional Data Mapping
• Detection of Zero Divisor Patterns and Conjugation Symmetries
• Zero Divisor Transmission Protocol (ZDTP) for Structural Data Integrity
• Specialized Financial Time Series Analysis and Regime Detection

使用案例

• Advanced AGI research in high-dimensional representation learning and neural architecture design.
• Detection of complex patterns and structural shifts in time series data.
• Financial market analysis, including dual-method regime detection and technical indicator calculation.