MoonPay Released an Open-Source Wallet Standard for AI Agents

MoonPay officially released an open-source cross-chain wallet standard designed specifically for AI agents, published to GitHub for the broader developer community to audit, fork, and integrate.

The standard provides a unified framework for autonomous programs to manage assets across Ethereum, Solana, Polygon, and Base through a single interface, enabling AI agents to move liquidity between chains without requiring separate integrations for each network.

The security architecture uses Multi-Party Computation technology, a cryptographic approach that allows the AI agent to execute transactions while the developer or end-user retains a veto over the funds. That structure means the agent has operational autonomy within defined parameters without having unilateral control over the underlying assets.

Developers can set programmable constraints on top of that foundation, including maximum transaction limits per hour, restrictions on interactions with unverified smart contracts, or any other guardrail the use case requires. The standard is designed to be integrated into existing AI frameworks including LangChain and AutoGPT, lowering the barrier for developers who are already building in those environments.

Why the Standard Matters

MoonPay CEO Ivan Soto-Wright framed the release as foundational infrastructure for an emerging economy where AI agents pay each other for data, compute power, and API access. That framing reflects a specific architectural vision of where AI development is heading. Current AI applications are largely funded by human operators who pay for compute and data at the application level. As AI agents become more autonomous and interconnected, the ability for one agent to directly compensate another for a service without human intermediation in each transaction becomes a functional requirement rather than a theoretical possibility.

The wallet standard addresses that requirement by giving AI agents a standardized way to hold, transfer, and manage digital assets across multiple chains. An autonomous arbitrage agent hunting yield across different chains and executing bridge and swap transactions without human approval at each step is one immediate use case. Automated AI assistants paying per-query costs for large language model access or cloud storage in real time is another. Both require a wallet infrastructure that operates at machine speed rather than human approval speed.

The Competitive Context

The release places MoonPay in direct competition with Coinbase’s Agentic Web initiatives and Skyfire, both of which are pursuing the same AI-crypto payments infrastructure opportunity. The open-source approach is MoonPay’s strategic differentiator within that competitive field. Proprietary standards require developers to trust a single vendor’s roadmap and security practices. An open-source standard published to GitHub allows the developer community to verify the security model independently, contribute improvements, and integrate without dependency on MoonPay’s continued support.

The standardization play is also a distribution play. By publishing the framework openly and designing it to integrate with LangChain and AutoGPT, MoonPay is positioning its fiat-to-crypto on-ramp infrastructure to be embedded directly into AI applications at the point where those applications need to handle money. Every AI application built on the standard is a potential integration point for MoonPay’s existing payment infrastructure.

The broader context from this week’s reporting is relevant here. Bittensor’s Covenant-72B model completion, xAI’s recruitment of financial modelers to train Grok, and the DePIN sector’s expansion into AI compute infrastructure all reflect the same underlying convergence. AI infrastructure and crypto infrastructure are being built toward each other from multiple directions simultaneously. MoonPay’s wallet standard is the payments layer of that convergence.

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