This work introduces ECOIN, a non-invasive and non-manipulative protocol for observing whether interactions among individuals, groups, institutions, and AI systems evolve toward recoverable circulation or toward irreversible lock-in. Rather than prescribing behavior or optimizing outcomes, ECOIN provides state-based visibility into interaction dynamics, focusing on autonomy preservation, recovery capacity, and structural rigidity. The framework distinguishes between individual internal states and external interaction vectors, enabling the construction of observable safety indices without attributing intent, blame, or moral judgment. A two-layer disclosure model is proposed, separating publicly shareable safety indicators from NDA-protected mathematical specifications. The protocol scales from small-group experimental settings to civilizational baselines, offering a transparent, choice-preserving alternative to behavioral manipulation and control-oriented measurement systems. ECOIN is positioned as decision-support infrastructure, not governance or persuasion technology, with restoration of autonomy as its final objective.