Mastercard debuts Agent Pay for Machines, letting AI agents transact via cards, accounts, and stablecoins with 30+ partners at launch.
Mastercard took a significant step in autonomous payments on Wednesday.
The company launched Agent Pay for Machines, a new service designed for AI agents to conduct business transactions independently. The system covers cards, bank accounts, and stablecoins.
Over 30 partners joined from day one, including Stripe, RippleX, Solana Foundation, Polygon, Coinbase, and Adyen.
Mastercard Agent Pay for Machines Targets AI-Driven Commerce
Traditional payments are user-initiated. Agent Pay for Machines works differently. Transactions here are programmatic, continuous, and run entirely in the background.
Mastercard describes these as machine-to-machine payments that happen at high velocity and extremely low latency.
The company illustrated the practical use case directly in its press release. An entrepreneur launching a flower shop could instruct an AI agent to build the web presence within a set budget.
That single instruction triggers a chain of automated transactions, covering domain names, hosting, images, and checkout pages. No human clicks involved after the first command.
Jorn Lambert, Mastercard’s chief product officer, described the launch as creating conditions for what he called a “superbloom of AI business models.” He added that machine payments could allow services to trade among agents at volumes and values that current payment infrastructure cannot support.
As AI agents begin to act, payments move into the background — at machine speed and massive scale.
Today we’re introducing Mastercard Agent Pay for Machines — bringing structure, governance, and trust to this new class of payments.
Launching with 30+ partners to bring this to… pic.twitter.com/X4zmXIg7FV
— Mastercard (@Mastercard) June 10, 2026
How the Settlement and Credentialing System Works
Agent Pay for Machines runs on four core capabilities. First, every agent receives credentials. Using what Mastercard calls Verifiable Intent, each agent can be recognized and trusted across different ecosystems.
Second, organizations can set authorization rules and hard spending limits that the system enforces programmatically.
Third, verified agents can connect and transact across multiple providers without manual oversight. Fourth, the service supports guaranteed settlement across cards, bank accounts, and stablecoins.
Mastercard positioned multi-rail settlement as a central feature, noting that transactions move predictably and with full transparency.
The service builds on Mastercard’s existing Agent Pay program, which the company introduced in 2025. While Agent Pay defines how trusted AI agents participate in payments generally, Agent Pay for Machines focuses specifically on automated, micro-value transactions running continuously at machine speed.
Cloudflare, Alchemy, Anchorage Digital, MoonPay, OKX, and Global Payments also joined the launch partner list alongside the previously named firms.
Solana and Stablecoin Integration Reflects Broader Strategy
Solana carries specific weight in this launch. As LiveBitcoinNews previously reported, Mastercard had already introduced always-on stablecoin settlement on the Solana network.
That move came as real-world asset inflows into Solana reached $716 million, placing the chain ahead of others in monthly net capital movement during that period.
Read more:
Solana Steals Spotlight as Mastercard Stablecoin Settlement Goes Always-On Now
Several teams announced tokenization, payments, brokerage, and real-world asset products around that same time.
Agent Pay for Machines now extends Mastercard’s presence further into that ecosystem. The launch partners span both traditional finance and crypto-native infrastructure.
Mastercard framed the broader effort as building trusted, open infrastructure for autonomous and machine-driven commerce. Together with Agent Pay and Verifiable Intent, the company sees Agent Pay for Machines as part of a larger system covering identity, authentication, and trusted data exchange for businesses moving into AI-driven operations.





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