sias-audit

Score integrity auditing cross-checks source entities, the transaction ledger, and UI display points to identify mismatches and generate a traceable remediation report. This preserves data accuracy across the metabolic reset program.

Cached UI points diverge from ledger transactions when source entities like DailyScoreEntity or WeeklyBiometricEntity fail to sync properly. A discrepancy analysis traces the exact divergence point across these data layers.

Provide a target user's name to initiate the audit, which maps DailyScoreEntity and WeeklyBiometricEntity records against ledger transactions to verify points. This yields a structured discrepancy report for that specific user.

Yes, the audit supports both single-user investigations and batch processing of multiple users. Batch audits identify score discrepancies across the entire recruits index to preserve systemic data integrity.

Without source entity traceability, findings cannot map to ledger transactions or cached UI points, preventing concrete remediation steps. Full traceability across all data layers is required to preserve audit integrity.