Agent Payment Loop with Arc-Based USDC Simulation

Agent-to-Agent Payment Loop is a live demo showcasing how autonomous AI agents can coordinate tasks and settle payments in real time using a micropayment-driven architecture. In traditional systems, APIs and compute tasks execute without economic awareness, leading to inefficient and opaque cost structures. This project introduces a model where every agent action has a measurable economic value, enforced through micro-transactions. In this demo, we simulate Arc-based USDC micropayments between agents. Each step in a multi-agent workflow triggers a micro-transaction, representing how Circle’s infrastructure could enable real-time settlement at sub-cent cost. The system demonstrates: - Autonomous agent coordination across a shared task - Per-action micropayment settlement - Real-time transaction tracking and execution flow - Transparent cost comparison between Arc micropayments and traditional gas-based systems The UI highlights key metrics such as transaction count, settlement cost, and savings unlocked through sub-cent pricing. The demo includes over 50 simulated transactions, validating the feasibility of high-frequency, low-value payments. This project is designed as a forward-looking prototype for the Agentic Economy, where AI services operate as independent economic actors, capable of paying and being paid for each action they perform.