Merchant trust verification for AI agents. One call = trust score, badge, and purchase safety.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-yb48666-ctrl-otr-protocol": {
"command": "<see-readme>",
"args": []
}
}
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Merchant trust verification for AI agents. One call = trust score, badge, and purchase safety.
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The merchant trust layer for AI agent commerce
Deterministic, verifiable, open-source merchant trust scoring for the agentic economy
Protocol v4.1
Specification • Scoring Algorithm • Quick Start • Packages • Contributing
AI agents are increasingly making purchase decisions on behalf of consumers. The agentic commerce stack is taking shape -- but there is a critical missing layer:
┌──────────────────────────────────────────────────────────────────┐
│ AI Agent Commerce Protocol Stack │
├──────────────────────────────────────────────────────────────────┤
│ │
│ Visa TAP ·············· Agent Identity Verification │
│ Google UCP ············ Structured Data Exchange │
│ Stripe ACP ············ Payment Processing │
│ │
│ ┌───────────────────────────────────────────────────────────┐ │
│ │ OTR Protocol ····· MERCHANT TRUST VERIFICATION ◀━━━━━ │ │
│ │ "Is this merchant safe to buy from?" │ │
│ └───────────────────────────────────────────────────────────┘ │
│ │
│ Visa TAP answers "Who is the AI agent?" │
│ Google UCP answers "What products are available?" │
│ Stripe ACP answers "How do I pay?" │
│ OTR answers "Should I trust this merchant?" ◀━━ ONLY OTR │
│ │
└──────────────────────────────────────────────────────────────────┘
Without OTR, AI agents operate blind -- unable to distinguish a legitimate retailer from a sophisticated scam site. This exposes consumers to fraud and erodes trust in the entire agentic commerce ecosystem.
OTR (Open Trust Registry) provides deterministic, verifiable merchant trust scores using 6 verification dimensions, a 10-layer anti-fraud pipeline (Layer 0: Google Web Risk one-vote veto + Layers 1-9: core detection engine), and three-layer immutable audit trail. It is fully open-source (MIT), machine-readable, and designed from the ground up for AI agent consumption.