System and Method for Computing Longitudinal Trust Scores Using Weighted Decay-Aware Contributions from Cryptographically Verified Behavioral Events in Digital Commerce Platforms

A distributed trust score system comprising:

• one or more processors;
• and memory storing instructions that, when executed by the processors, cause the system to:
• maintain persistent trust scores ranging from 0 to 100 for reviewer entities and institution entities in a distributed database via a deterministic fixedpoint kernel keyed by a versioned config id, such that identical inputs under the same config_id yield bit-identical outputs across nodes;
• receive cryptographically verified behavioral events through an event ingestion interface, the events comprising identity verification events, purchase proof events, location attestation events, and moderation decision events;
• perform deterministic canonicalization of received events using version-pinned processing models and versioned policy parameters;
• actively refuse processing and enter quarantine mode when model version drift or policy version mismatch exceeds a service level objective threshold, thereby preventing computation of inconsistent scores;
• process location attestation events entirely within a device trusted execution environment that computes distance between device and venue coordinates, maps the distance to discrete proximity categories, and performs cryptographic zeroization of coordinate values before any data exit the trusted environment;
• calculate weighted contribution values for behavioral events using tier-specific coefficients within predetermined ranges based on verification level;
• apply event-specific temporal decay functions including exponential decay with rates between 0.0001 and 0.1 to contribution values;
• detect adversarial behavior through velocity checking with age-stratified daily gain limits and behavioral similarity analysis using a vector-similarity metric;
• synchronize trust scores across venues using category similarity matrices and cryptographically authenticated synchronization messages over a canonical byte sequence of defined fields, including a nonce and config_id version, and refusing messages with a reused nonce or with an unauthenticated version;
• generate statistical confidence bands with asymmetric bounds based on interaction count and recency;
• and output trust scores with the asymmetric confidence bands for trust decisions.