Global Web3 micropayment network for smart vending machines
AI + Web3 Micropayment Token

AI + Web3Micropayment Network

Give vending machines on-chain wallets, x402 micropayments and AI agents for autonomous acquiring, restocking and reconciliation.

machine-wallet.js
HTTP 402 Payment Requiredagent.sign()settle.finality = 2sgas.cost < $0.0001
AI-poweredWeb3 nativeMicropaymentsGlobal vending payment network
Market Pain

The Last-Mile Payment Gap

Smart vending is scaling fast, but legacy payments struggle with cross-border, micro and machine-account scenarios.

Global smart vending machine market$29.79B → $112.39B

2025-2035 CAGR is projected at 14.20%, driven by unattended retail and cashless payments.

20252035$29.79B$112.39B
2024 shipments1.42M
Avg. unit price$3,200
Growth cycleAccelerating
Vending MachinePayment Last Mile

Slow cross-border settlement

International wires often take 3-5 business days.

High fees

Intermediaries add cost at every layer.

Small payments break down

Fixed card fees eat sub-$0.50 transactions.

Machines cannot pay

AI agents and devices lack native payment accounts.

Solution

AI + Web3 Micropayment Token

A fast, low-cost and autonomous settlement network for vending machines.

UMI

AI + Web3 Micropayment Token

Ultra-low fees

Sub-cent economics for high-frequency machine payments.

Instant settlement

Seconds to finality across borders.

Autonomous AI payments

Machines can settle, restock and reconcile on their own.

Positioning

A Vertical Entry Into a Billion-Dollar Market

Start with smart vending and build payment network effects from a focused use case.

Product-Market Fit
DimensionMarket realityUMI solution
High-frequency micro paymentsVending and agent payments often sit below $0.50Sub-cent transaction cost
Cross-border acquiringTourists, merchants and operators face multi-currency frictionUnified token settlement and receipts
Machine accountsDevices lack autonomous payment accountsMachine wallet + AI agent permissions
Operational loopInventory, maintenance and data revenue are fragmentedPayment, restocking and data sharing on one rail
Competitive Radar
Micropayment costMachine accountsCross-borderVertical fitAI agent ready
UMIStablecoinsTraditional
Use Cases

Three Core Token Use Cases

Tourist checkout, cross-border acquiring, AI restocking and DePIN data revenue.

Global coverage

Cross-border vending settlement hub

  • Tourists scan and pay with locked FX rates.
  • Operators collect across countries with one settlement rail.
  • x402 embeds payment into HTTP requests.
  • 1.42M smart vending machines and massive transaction potential.
Machine-to-machine

AI agent economy for vending machines

  • AI agents detect inventory and trigger restocking.
  • Pricing adjusts by time, location and stock.
  • Machines pay for cleaning and maintenance services.
  • OpenMind Bits proved autonomous USDC charging payments.
Expansion layer

Open DePIN ecosystem

  • Consumer data goes on-chain and earns revenue share.
  • Global locations become a distributed retail network.
  • Future cash flow can support RWA financing.
  • Data, compute and maintenance services plug in openly.
Architecture

Token Architecture and Payment Flow

From scan to on-chain receipt, x402 responses and wallet signatures close the loop.

x402 Payment Flow
01Scan
02Select
03402
04Sign
05Pay
06Verify
07Dispense

x402-native

HTTP requests become payment requests.

Low-gas finality

Gas below $0.0001.

Device wallets

Every machine owns an on-chain account.

AI reconciliation

Transactions, stock and restocking in one ledger.

TokenEcosystem Flow
ConsumersBuy goods and spend tokens
Vending machinesCollect tokens and issue receipts
OperatorsPay suppliers and maintenance
PartnersProvide data, compute and services
AI agentsExecute autonomous micropayments
Token Value

Token Value Flywheel

Fixed supply, real usage, buyback burn and staking rewards create a value loop.

100MFixed supply · No minting

Usage:Transactions consume tokens and create real demand.

Buyback burn:Ecosystem revenue funds recurring burns.

Staking:Nodes stake and share network fees.

Triple Flywheel
1

More machines → More transactions → More token usage

2

More AI agents → More M2M payments → Stronger buyback burn

3

More staked nodes → Wider coverage → Higher ecosystem value