JSON Schema for decision events as governance evidence units in automated decision and real-time risk systems. MIT.
Deterministic governance evidence layer for single-agent AI workflows. Make AI-assisted work reviewable before it becomes trusted.
Post-hoc trace reconstruction for AI agents: turns raw runtime traces into per-property reconstructability reports naming evidenced, missing, and opaque decision facts.
Python toolkit for label-free monitoring of governance evidence degradation in delayed-label risk decision systems using proxy drift monitors and response chains.
Python library for evidence sufficiency scoring in governance assessments under delayed ground truth, drift, and decision-readiness constraints.
Benchmark dataset and evaluation harness for comparing governance evidence feasibility across rule-based, hybrid ML, streaming, and agentic AI decision systems.
Python SDK for collecting raw system signals into Decision Event Schema evidence units with provenance, attribution, temporal metadata, and validation.
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