Provides deterministic and verifiable merchant trust scores for AI agent commerce to prevent fraud.
Sponsored
AI agents are increasingly making purchase decisions on behalf of consumers, but lack a critical layer for merchant trust verification. OTR Protocol addresses this by offering deterministic, verifiable, and open-source merchant trust scores, preventing fraud and building confidence in the agentic commerce ecosystem. It leverages 7 verification dimensions, a 9-layer anti-fraud engine, and an immutable audit trail, empowering AI agents to make secure purchasing decisions.
Key Features
019-Layer Anti-Fraud Engine to detect fraudulent merchants
020 GitHub stars
03Three-Layer Immutable Audit Trail (SHA-256, Base L2, IPFS) for transparency
04Deterministic and Verifiable Merchant Trust Scores
05TypeScript SDK and Model Context Protocol (MCP) Server for AI agent integration
067-Dimension Scoring Engine for comprehensive evaluation
Use Cases
01Integrate merchant trust verification into e-commerce platforms and applications
02Protect consumers from fraudulent merchants in the agentic economy
03Enable AI agents to make secure and informed purchase decisions
