InfluTrust™ Patent Pending · Proprietary AI Technology

InfluTrust™ Methodology: How Crypto Influencer Grades Are Calculated

Last updated: 2026-08-11

Reputation assessments on CryptoInfluencers.net are produced by InfluTrust™, our patent-pending, proprietary multi-signal reputation intelligence engine. InfluTrust™ combines advanced machine-learning models, continuous on-chain telemetry, natural-language analysis of promotion and disclosure patterns, project-continuity graphing, social trust-score aggregation, and long-horizon accountability metrics into a single industry-standard integrity grade (A+ through F). The system is trained and recalibrated on multi-year market-cycle data; on-chain audits and independent investigative corroboration validate underlying signals. InfluTrust™ model weights, feature pipelines, and scoring architecture are proprietary and confidential.

Signal stack

  1. AI promotion-pattern intelligence: NLP models detect undisclosed, serial, or extractive promotional cycles
  2. Project-continuity graphing: delivery after peak visibility and abandonment risk across market cycles
  3. On-chain telemetry layer: wallet and operational integrity indicators validated against audits
  4. Social trust-score aggregation: multi-year public accountability and engagement quality
  5. User-testimonial consensus: long-horizon community feedback with investigator corroboration
  6. Long-term accountability metrics: statement-to-outcome alignment and ethics drift detection
  7. Proprietary ensemble scoring: multi-model consensus produces the final A+ to F grade

Grade bands

InfluTrust™ is a trademark of CryptoInfluencers.net. The InfluTrust™ multi-signal reputation engine and related systems are proprietary. Patent pending.

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