The problem AP2 is really solving
If an agent buys something on behalf of a human or an enterprise, the hard question is not whether a payment API can be called. The hard question is what exactly was authorized, within which commercial scope, and how that authorization is later proven.
Traditional checkout models assume a human is directly present. Agent commerce breaks that assumption. AP2 exists to provide a standard way to represent and carry the delegated payment intent through the transaction.
Why a payment API alone is not enough
A payment API can charge a card, but it does not explain why the agent was allowed to do so.
A PSP can return a payment status, but not the business delegation context behind the request.
A merchant may see an approval, but still need evidence about mandates, limits, or approved scope.
Without a shared model, every relying party invents incompatible payment semantics for agents.
How AP2 structures agent commerce
AP2 introduces a model in which commerce is expressed through mandates and transaction objects instead of a vague “agent permission.” This creates a language for what the agent is trying to buy, what has already been approved, and which final payment step is being executed.
AP2 flow in one view
AP2 does not jump straight from agent request to charge. It moves through mandate-bearing stages.
flowchart LR
intent["Intent context"] --> cart["Cart mandate"]
cart --> approval["Delegated approval context"]
approval --> payment["Payment mandate"]
payment --> receipt["Transaction receipt and evidence"] Why AP2 matters for trust
Agent commerce becomes unmanageable when payment execution is detached from trust evidence. AP2 helps because it gives the commercial part of the flow a structure that can be checked against policy, certificates, delegation, and transaction receipts.
That is exactly where a platform like ADI becomes relevant: AP2 defines what the payment behavior looks like, while ADI enforces who may use it and under which trust constraints.
The practical value for merchants and platforms
Clearer transaction semantics for agent-driven purchases
A reusable model for approvals and limits
A better basis for audit, dispute analysis, and enterprise controls
A cleaner bridge between trust systems and payment execution