Core Engine: Gamification & Anti-Fraud Logic

Credit Allocation Algorithm

The platform replaces "coins/rewards" with Digital Credits (also referred to as Engagement Points) to drive User Engagement Metrics. Credits are issued when users complete Executing Micro-Interactions that match campaign intent and evidence rules.

Allocation uses a weighted score that combines difficulty, completion quality, and user reputation:

credit = base_rate
       * difficulty_weight
       * quality_score
       * reputation_multiplier
       * time_decay

Inputs:

  • difficulty_weight: derived from interaction type (follow, vote, view) and proof strictness.
  • quality_score: evidence confidence from verification pipeline.
  • reputation_multiplier: dynamic trust tier based on historical success and dispute rate.
  • time_decay: penalizes abnormal latency or burst patterns.

This model maintains a stable credit economy while incentivizing sustained engagement across campaigns.

Automated Verification Layer

Evidence is validated by an Automated Verification Worker that combines AI/OCR and rule-based checks to confirm that Executing Micro-Interactions occurred on the target platform.

Verification stages:

  • OCR extraction for screenshots and UI evidence.
  • Semantic validation of metadata and platform identifiers.
  • Cross-check against API signals or third-party telemetry when available.
Evidence -> OCR -> Normalize -> Validate -> Confidence Score -> Credit Grant

This layer provides deterministic gating so credits are only released when evidence meets minimum confidence thresholds.

Fraud Detection Protocol

The platform applies Anomaly & Fraud Detection Algorithms to prevent spam, click farms, and replayed evidence. Controls are enforced at both request and post-audit stages:

  • Rate limiting per device and account.
  • Cooldown windows to prevent burst submissions.
  • Reputation scoring tied to dispute ratio and completion consistency.
  • Post-audit sweeps to invalidate suspicious events and revoke credits.
Signals -> Anomaly Scoring -> Quarantine -> Post-Audit -> Finalize

This protocol protects campaign integrity while keeping engagement pipelines responsive and scalable.