Key Takeaways
- Animoca Brands is partnering with Reap and Pivota to combine AI agents, digital identity, and programmable payments for personalized agentic commerce.
- The initiative aims to give AI agents verified authority to transact, allowing them to prove user eligibility and make purchases within predefined spending and merchant limits.
- The technology is still in the pilot stage, but the partnership highlights a broader shift toward AI agents becoming trusted economic actors in digital commerce.
Artificial intelligence agents are moving beyond answering questions and recommending products. The next evolution includes making purchases, applying discounts, and executing transactions within defined limits. Animoca Brands is now testing an infrastructure model designed to make those interactions more trustworthy by combining digital identity, AI agents, commerce data, and programmable payments.
On October 8, Animoca Brands announced a partnership between its AIR identity infrastructure and Minds AI-agent platform and payments fintech Reap and commerce infrastructure provider Pivota to develop identity-powered agentic commerce. The initiative lets a Minds agent act on behalf of a verified user, recognize benefits the user has legitimately earned, and complete purchases under pre-approved conditions.
The partnership matters less for the companies involved than for solving how an AI agent can prove who it represents and what it can do.
Animoca Brands Brings AI Agents Into Agentic Commerce
Traditional AI assistants largely operate as information tools. A user asks a question, receives an answer, and remains responsible for carrying out the resulting action. Agentic AI changes that relationship by allowing software to pursue a goal across multiple applications with less direct human intervention.
That shift is already creating demand for infrastructure that can establish an agent’s identity, permissions, and financial boundaries. For example, Cloudflare announced in 2026 that it was developing identity and wallet infrastructure that lets AI agents make online purchases within controls set by their human owners. Its system includes spending caps, approved merchants, and transaction limits.
Under Animoca’s proposed architecture, AIR can let users selectively share verified identity attributes and earned benefits with their AI agents without exposing underlying personal information. Minds then interprets the user’s intent and coordinates the purchasing process. Pivota determines the right product, merchant, and transaction route, while Reap provides payment credentials that can be restricted by factors such as merchant, transaction amount, and timeframe.
The result is an attempt to turn an AI agent into a verified economic representative, rather than simply an automated shopping tool.
That distinction could become increasingly important as software agents gain greater access to financial services. Coinbase has similarly argued that wallets, payment rails and settlement infrastructure will be fundamental to an economy in which autonomous software can transact on its own.
AI Agent Identity and Payment Controls Become Critical
For agentic commerce to work at scale, intelligence alone will not be enough. Merchants need to know whether an incoming agent is acting for a legitimate customer, whether that customer has authorized the transaction, and whether the agent’s permissions remain valid.
Those concerns are growing as companies move toward systems that act continuously rather than simply responding to individual prompts. Identity and access systems designed around human users may not be sufficient when software agents can operate across APIs, cloud services, and other digital environments at machine speed.
Animoca’s model addresses part of that challenge through scoped authority. Instead of giving an agent unrestricted access to a user’s financial credentials, the proposed system creates a transaction path that verifies identity, eligibility, and spending permissions separately.
This could also change how loyalty programs and promotional offers function. Rather than requiring a consumer to manually log into multiple services or present proof of eligibility, an authorized agent could potentially demonstrate that the user qualifies for a particular benefit while keeping unrelated personal information private.
However, the technology remains early-stage. Animoca said the partnership will begin with a controlled demonstration involving a single merchant. The pilot aims to demonstrate the full transaction lifecycle, from cryptographic proof of eligibility and product selection to applying an offer, issuing a scoped payment credential, and completing the transaction.
The announcement does not represent the arrival of fully autonomous shopping at scale. Instead, it provides a glimpse of the infrastructure companies believe will be necessary to make such commerce possible.
The wider market is still working through whether consumers and merchants are ready for that transition. Retailers remain divided over AI shopping agents, with some pursuing integrations while others have restricted agent access because of concerns over privacy, fraud, customer experience, and control.
For Web3, however, the direction is notable. Blockchain infrastructure has long focused on programmable ownership, digital identity, and permissionless transactions. Agentic commerce introduces another potential use case: programmable economic agency.
The question is therefore no longer simply whether AI can understand what a consumer wants. It is whether an AI agent can be given enough identity, authority, and financial control to act on that intent while keeping a human in charge.
