Agentic Checkout Control Plane

What you get

This is a reference architecture + starter implementation for building an enterprise control plane that manages AI agent checkout traffic. It is not a managed service — you host it, you control it, you audit it.

Architecture documentation

• System design with data flow diagrams
• Threat model covering impersonation, replay attacks, rate-limit evasion, log tampering
• Component breakdown: proxy layer, auth service, audit logger, dashboard

Starter code

• Express.js proxy middleware with JWT validation and rate-limiting
• PostgreSQL/SQLite audit logging
• Docker Compose deployment configuration
• API specification for /v1/checkout and /v1/audit endpoints

Operations

• Incident response runbooks (token compromise, rate-limit bypass, dashboard outage)
• Production deployment checklist
• Environment configuration template

What this is not

This is starter code and documentation, not a fully hardened production system. Security review, penetration testing, and compliance validation are your responsibility before exposing to the internet.