The Solana Foundation has released an open-source payment-channel architecture designed specifically for AI agents and other high-frequency machine-payment applications.
Instead of settling every individual payment onchain, the system allows an agent to deposit a maximum spending amount, authorize multiple payments offchain through signed messages and settle the aggregate amount afterward.
The Foundation says a benchmark using 100,000 unique wallets produced more than 1 million payments per second, theoretically enough capacity for more than 80 billion payments in 24 hours. The reported processing cost was approximately $0.000000000776 per payment.
Funds remain in non-custodial escrow during the process. Unused balances return to the primary wallet when settlement occurs.
The architecture supports agentic-payment standards including x402 and MPP. The Foundation has also released the payment-channel program, toolkit, benchmark and specification as open-source components.
Alibaba Cloud API endpoints are already live with the system, allowing AI agents to authorize spending once and consume metered services without repeatedly requesting transaction approval.
TOKEN RECON ASSESSMENT
Machine payments may become one of blockchain’s clearest AI use cases.
AI agents cannot realistically stop to approve and settle an onchain transaction every time they purchase an API call, token of inference or piece of data.
Payment channels attempt to solve that friction while keeping the underlying funds non-custodial.
The next question is not benchmark speed. It is production adoption.
Primary source: Solana Foundation — Payment Channels
