JSPM

Mathematical AI interpretability plugin providing sheaf cohomology, spectral analysis, causal inference, and quantum topology for coherence validation, consensus verification, and hallucination prevention.

Advanced mathematical AI interpretability: Category Theory, Homotopy Type Theory, Spectral Analysis, Causal Inference, Quantum Topology, and Sheaf Cohomology for WebAssembly. Implements functorial retrieval, univalence axioms, Cheeger bounds, do-calculus,

Mathematical AI interpretability plugin providing sheaf cohomology, spectral analysis, causal inference, and quantum topology for coherence validation, consensus verification, and hallucination prevention.

Official TypeScript/JavaScript SDK for the RootCause platform API

Difference-in-differences estimator for causal inference

Standalone causal tree probability engine. Decompose predictions into weighted causal nodes, compute combined probability, sensitivity analysis, what-if scenarios. Zero dependencies.