MultiversX is positioning itself at the intersection of artificial intelligence and blockchain commerce after announcing a pair of integrations aimed at enabling AI-driven transactions. The blockchain network said it is the first to support Google’s Universal Commerce Protocol (UCP) and has also added compatibility with the x402 payments standard, a protocol originally incubated by Coinbase.
Together, the upgrades are designed to let AI agents transact directly on the MultiversX network, without human prompts or manual payment steps, as competition grows among blockchains to support an emerging “agentic” economy.

Bringing Google’s Universal Commerce Protocol onchain
Google introduced UCP in January as an open standard to help AI assistants discover products, negotiate prices, and complete purchases across online merchants. The framework was developed in collaboration with major retailers including Shopify, Walmart, and Target, reflecting growing expectations that AI agents will increasingly shop and transact on behalf of users.
By integrating UCP, MultiversX enables AI systems operating through platforms such as ChatGPT, Gemini, or Claude to interact directly with its blockchain. These agents can now check wallet balances, transfer tokens, and execute transactions natively on the network, without relying on custom scripts or human intervention.

The move highlights a broader industry trend: as AI agents become more capable, infrastructure providers are racing to give them reliable ways to move value and access services. MultiversX is betting that standardized, machine-readable interfaces will be essential if AI systems are to handle real economic activity.
Solving a reliability problem for AI and blockchains
AI models have long struggled with blockchain interactions. When left to infer how a network works, large language models often generate incorrect code or malformed transaction instructions. That problem becomes especially serious when financial value is involved.
MultiversX said the core issue is that AI systems lack structured, authoritative information about how to interact with specific blockchains. Guesswork may be acceptable in text generation, but it introduces unacceptable risk in payments and smart contract execution.
The UCP integration aims to address that gap by giving AI agents a standardized and predictable way to carry out blockchain operations. Rather than improvising, agents can follow defined protocols that reduce errors and improve reliability.
Payments layer added through x402
Alongside the UCP rollout, MultiversX has integrated x402, a payments protocol designed to embed transactions directly into standard web requests. Originally incubated by Coinbase, x402 allows apps, services, and AI agents to automatically pay for online resources without traditional checkout flows.
With x402, payments can happen programmatically. There is no need for user logins, redirects, or manual confirmations. A December upgrade expanded the protocol beyond a single blockchain, adding support for multiple networks as well as traditional payment methods such as cards and ACH transfers.
For AI-driven systems, this means services can charge and pay each other in real time. An agent requesting data from an API, for example, can automatically send payment as part of the request, streamlining interactions that would otherwise require human oversight.
Building blocks for agentic commerce
The combination of UCP and x402 is intended to support what developers describe as “agentic commerce,” where AI systems act as autonomous economic participants. Potential use cases span several sectors.
Research agents could pay for access to premium datasets as needed. Automated trading strategies might interact directly with decentralized finance protocols. AI-powered tools could charge users instantly for compute resources, analysis, or specialized services.
MultiversX is not alone in targeting this space. Other blockchains are also adapting their infrastructure for AI-native use. Ethereum, for instance, recently introduced the ERC-8004 standard, which focuses on onchain identity and reputation systems for AI agents, allowing them to build trust and track performance across decentralized applications.
A growing race for AI-ready infrastructure
As AI agents move from experimental tools to active participants in digital economies, blockchains are competing to become their preferred settlement layer. Reliability, interoperability, and seamless payments are emerging as key differentiators.
By integrating Google’s commerce standard and expanding support for embedded payments, MultiversX is signaling that it wants to be more than a general-purpose blockchain. It aims to provide the technical foundation for AI systems that can discover services, negotiate terms, and move value on their own.