Platform Architecture

MPPFi is built as a decentralized neobank infrastructure for AI agents, leveraging Solana blockchain for transparent settlement and the Machine Payments Protocol (MPP) for standardized agent-to-merchant payments.

System Design

Core Architecture Principles

  1. Blockchain-Native: All transactions settled on Solana with sub-second finality

  2. Agent-First: Purpose-built for autonomous AI systems

  3. Protocol-Driven: Machine Payments Protocol enables interoperable commerce

  4. Cryptographically Secure: HSM-backed key management and on-chain enforcement

  5. Transparently Auditable: Every transaction verifiable on public blockchain

System Components

1. Platform Layer

MPPFi API Service

  • RESTful API for agent account management

  • Payment initiation and tracking

  • Policy configuration and enforcement

  • Webhook event distribution

  • Rate limiting and authentication

Technologies: Node.js, Express, TypeScript

Agent Management Service

  • AI agent identity provisioning

  • Cryptographic keypair generation

  • HSM integration for private key storage

  • Hierarchical Deterministic (HD) wallet management

  • Agent balance and transaction history

Technologies: Rust, AWS CloudHSM

Policy Enforcement Engine

  • Spending limit validation

  • Merchant allowlist checking

  • Multi-signature coordination

  • Time-based restrictions

  • On-chain policy deployment

Technologies: Rust, Solana Programs (Anchor framework)

2. Blockchain Layer

Solana Network

  • Primary settlement layer

  • Supports 65,000 TPS (transactions per second)

  • Sub-second finality

  • Proof of History (PoH) consensus

  • Low transaction fees (~$0.00025 per transaction)

MPPFi Smart Contracts (Solana Programs)

Deployment: Solana Mainnet-Beta

3. Payment Protocol Layer

Machine Payments Protocol (MPP)

MPP is an open protocol for standardized machine-to-machine payments:

MPP Features:

  • Service Discovery: Merchants publish .well-known/mpp-manifest.json

  • Dynamic Pricing: Real-time quotations based on parameters

  • Atomic Settlement: Payment and service access bundled

  • Verifiable Receipts: On-chain proof of payment

  • Refund Support: Standardized refund workflows

4. Data Layer

Primary Database (PostgreSQL)

Blockchain State (Solana RPC)

Cache Layer (Redis)

Analytics Database (ClickHouse)

Architecture Diagrams

Payment Flow Architecture

Policy Enforcement Architecture

Security Architecture

Key Management

Hierarchical Deterministic (HD) Wallets

Private Key Security:

  • Keys never leave HSM boundaries

  • FIPS 140-2 Level 3 certified hardware

  • Multi-party computation (MPC) for critical operations

  • Automated key rotation every 90 days

  • Audit logging for all key access

Authentication & Authorization

API Key Authentication

Agent Identity Verification

Scalability & Performance

Horizontal Scaling

API Tier: Stateless Node.js services behind load balancer

  • Auto-scaling based on CPU/memory

  • Kubernetes orchestration

  • Target: 10,000 requests/second per region

Database Tier: PostgreSQL with read replicas

  • Primary: Writes

  • Replicas: Reads (eventually consistent)

  • Connection pooling (PgBouncer)

  • Sharding by agent ID for future growth

Cache Tier: Redis cluster

  • Session data

  • Rate limiting counters

  • Real-time balance cache

  • Pub/sub for webhook distribution

Blockchain Integration

Solana RPC Endpoint Strategy

Performance Targets:

  • Payment initiation: <200ms (p95)

  • Blockchain confirmation: <1s (p95)

  • Webhook delivery: <100ms (p95)

Monitoring & Observability

Metrics Collection

Application Metrics (Prometheus)

Blockchain Metrics

Business Metrics (DataDog)

Alerting

Critical Alerts (PagerDuty)

  • API 5xx error rate > 1%

  • Payment failure rate > 5%

  • Database connection pool exhausted

  • Blockchain RPC unavailable

  • HSM connection failure

Warning Alerts (Slack)

  • API latency p95 > 500ms

  • Webhook delivery failures > 10%

  • Policy violations spike

  • Rate limit hits increasing

Disaster Recovery

Backup Strategy

Database Backups

  • Continuous WAL archiving to S3

  • Daily full snapshots

  • Point-in-time recovery (PITR) capability

  • Retention: 30 days

Blockchain State

  • No backup needed (public blockchain)

  • Multiple RPC endpoints for redundancy

  • Transaction signatures stored in database

Configuration Backups

  • Policy configurations in git

  • Infrastructure as Code (Terraform)

  • Secrets in AWS Secrets Manager

Recovery Procedures

RTO (Recovery Time Objective): 15 minutes RPO (Recovery Point Objective): 5 minutes

Failover Scenarios:

  1. Primary database failure → Promote read replica

  2. Solana RPC failure → Switch to backup endpoint

  3. Region failure → Route traffic to backup region

  4. HSM failure → Failover to backup HSM cluster

Compliance & Audit

Audit Logging

All operations logged immutably:

Retention: 7 years (regulatory requirement)

Regulatory Compliance

AML/KYC: Agent operators verified during onboarding Data Privacy: GDPR/CCPA compliant data handling Financial Regulations: FinCEN reporting for large transactions Blockchain Transparency: All transactions publicly auditable

Technology Stack

Backend Services

  • Language: TypeScript (Node.js), Rust

  • Framework: Express, Actix-web

  • Database: PostgreSQL 15

  • Cache: Redis 7

  • Message Queue: AWS SQS

  • Search: Elasticsearch

Blockchain

  • Network: Solana Mainnet-Beta

  • Smart Contracts: Anchor Framework (Rust)

  • RPC Providers: QuickNode, Alchemy, Helius

  • Wallet: @solana/web3.js

Infrastructure

  • Cloud: AWS (primary), GCP (backup)

  • Orchestration: Kubernetes (EKS)

  • IaC: Terraform

  • CI/CD: GitHub Actions

  • Monitoring: Prometheus, Grafana, DataDog

Security

  • HSM: AWS CloudHSM

  • Secrets: AWS Secrets Manager

  • WAF: Cloudflare

  • DDoS Protection: Cloudflare

  • Audit: Vanta

Future Architecture Evolution

Planned Enhancements

Multi-Chain Support (2026 Q2)

  • Ethereum L2s (Arbitrum, Optimism)

  • Cosmos ecosystem

  • Polkadot parachains

Advanced AI Features (2026 Q3)

  • Autonomous spending optimization

  • Fraud detection with ML models

  • Natural language policy configuration

Decentralized Governance (2026 Q4)

  • Token-based voting on protocol changes

  • Community-driven feature prioritization

  • Transparent fee structure updates

Next Steps

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