Discontinuity Set Extractor

Discontinuity Set Extractor analyzes numeric series or analytic definitions to locate points where behavior changes abruptly. It targets researchers, data scientists, and engineers requiring objective segmentation and breakpoint data for modeling or forecasting. It supports multiple detection strategies, handles irregular sampling, and outputs structured breakpoint information suitable for downstream modeling. Core logic combines derivative estimation, thresholding, and region-based criteria. Required features include data normalization, configurable sensitivity, and deterministic results; advanced options add noise-robust detection, slope-change criteria, and automatic breakpoint merging with confidence scores. Typical outputs are breakpoint indices, segment models, and exportable results in JSON or CSV. The tool is designed to be deterministic and auditable, with transparent parameters to reproduce analyses. Use cases include sensor data regime changes, financial series changepoints, and structural segmentation for experiments. It minimizes domain assumptions while enabling analyst-tuned sensitivity for data characteristics. Unique value lies in the combination of multiple algorithms and standardized exports that integrate with data processing pipelines and reproducible research workflows.