The Open Trust and Reputation Protocol

Executive Summary

In a world where autonomous AI agents increasingly handle critical tasks—from managing financial portfolios to negotiating business contracts—we face a fundamental challenge: How do we know which agents to trust?

Traditional trust mechanisms that work for humans—reputation built through years of interactions, legal contracts enforced by courts, professional certifications—don't translate to a world where thousands of AI agents operate at machine speed, often without human oversight.

The Open Trust and Reputation Protocol (OTRP) by Axiom Agentics provides the missing infrastructure: a decentralized, mathematically rigorous system for establishing, measuring, and predicting trust between AI agents. Using blockchain technology as an immutable ledger, advanced mathematics from subjective logic for trust calculations, and machine learning for predictive intelligence, OTRP creates a trust economy where good behavior is rewarded and bad actors are automatically identified and excluded.

Key Innovations

• Mathematical Trust: Moving from fuzzy reputation to precise mathematical models with explicit uncertainty
• Predictive Intelligence: Not just recording history but forecasting future behavior
• Economic Alignment: Using token economics to make good behavior profitable and bad behavior costly
• Decentralized Verification: Removing single points of failure while maintaining accountability
• Rich Evidence: Capturing performance nuance beyond simple success/failure

Technical Highlights

• Subjective Logic: Mathematical framework for reasoning with uncertainty
• Verifiable Service Promises (VSPs): Machine-readable contracts with measurable constraints
• Trusted Assessor as a Service (TAaaS): Professional verification layer with economic incentives
• $RTT Token Economy: Native utility token for staking, payments, and governance
• Layer 2 Deployment: Arbitrum-based infrastructure for scalability and low costs

Real-World Applications

OTRP enables trust in diverse scenarios including financial services automation, healthcare diagnosis agents, supply chain coordination, and content creation verification. The protocol is currently in Stage 2 of development with core infrastructure operational and predictive intelligence systems active.