MoonPay has published an open-source wallet standard intended to let AI agents hold funds and execute transactions across multiple blockchains, filling a gap in how autonomous software interacts with crypto systems.
The new standard creates a common method for AI agents to access and use wallets across tools and chains, replacing fragmented setups where each system manages its own keys and balances. That lets agents draw from a single pool of funds rather than operating across many disconnected accounts.
Researchers at MIT Sloan note that AI agents can use standard building blocks, such as APIs, to talk with other agents and humans, send and receive money, and access the internet. MoonPay said prior efforts largely focused on payment rails but left wallet and key management unresolved.
MoonPay’s design keeps private keys in an encrypted local vault and performs transaction signing in an isolated process so keys never run inside an agent’s runtime. Policy controls let users set spending limits and other restrictions that must be satisfied before transactions are approved.
The specification is modular and open source, with components for storage, signing, policy controls and chain support. It is available to developers through platforms including GitHub, npm and PyPI. MoonPay said more than a dozen companies contributed to the specification, naming partners such as PayPal, OKX and Circle alongside several blockchain foundations and infrastructure providers.
Founded in 2019, MoonPay provides infrastructure to move funds between fiat and digital assets, offering on- and off-ramps, trading and crypto payment services globally.
Industry players are rapidly building infrastructure to support AI agents as economic actors. BitGo, a digital-asset custody and infrastructure firm, announced a Model Context Protocol (MCP) server that gives AI-driven tools natural-language access to its platform, enabling agents to navigate wallet functions, transaction flows and staking via integrated developer environments. The integration links BitGo’s services to AI-native workflows so tools like ChatGPT and code editors can retrieve documentation, API references and product information in-context.
Other efforts include Coinbase’s x402 protocol for stablecoin transfers over HTTP aimed at APIs, apps and AI agents, and recent tools from Visa and Stripe-backed Tempo that let AI systems initiate and execute payments programmatically. These moves reflect a broader push to let software interact with financial infrastructure without relying solely on traditional user interfaces.
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