Zero Point Logic

Zero Point Logic provides deterministic stability scoring for binary matrices across a range of domains, offering a single, mathematically grounded score (AIN) that quantifies how stable a system is at any moment. The platform is designed to answer whether a system is approaching instability, delivering a reproducible result based on published mathematical methodology. Its scoring engine operates on binary matrices of size 3x3 up to 100x100, returning a score from 0 (collapse) to 100 (perfectly balanced), along with status flags indicating the system's state: STABLE, ACTIVE, or INHIBITED.

The tool supports use cases in areas such as crypto markets, game economies, AI and machine learning model monitoring, security anomaly detection, research on convergence and consensus, and forex or macroeconomic analysis. For example, it can flag regime shifts in financial markets, detect bias and drift in AI outputs, and monitor for early signs of instability in network security data or experimental research.

Zero Point Logic is accessible through multiple interfaces. 0 specification. There is also integration with the MCP Server for use with platforms like Claude Desktop and Cursor. All interfaces connect to the same Rust-based engine, ensuring consistent results regardless of how the tool is accessed. The platform emphasizes deterministic outputs—identical input always yields identical output—and highlights the transparency of its published mathematical framework, though the engine's implementation remains proprietary.

Pricing is structured around compute tokens, with a free tier offering 5,000 tokens per month and paid plans scaling up to enterprise levels with additional features like higher dimension limits, more API keys, gRPC streaming, and dedicated support. There are no seat fees or hidden costs, and users can cancel at any time. The platform operates on Hetzner bare metal infrastructure and is positioned as an open science tool, with its core methodology published on Zenodo.