Agentspay

Use case

AI Shopping Agent Payments - Let Agents Buy Within Limits

A shopping agent that compares options and checks out is only useful if it cannot overspend. Give it a funded wallet, merchant allowlists, and a scoped card per purchase.

In short

AI shopping agent payments let an autonomous agent complete a checkout under policy instead of with a raw card. Agentspay funds a capped wallet, restricts the agent to allowed merchants and categories, and issues a single-use virtual card scoped to one purchase amount. A hallucinated or repeated order is declined at the API boundary, and every checkout is written to an immutable audit trail.

The challenge

A shopping agent that misreads a price or loops can place duplicate or oversized orders against your real card before anyone notices.

How Agentspay handles it

Agentspay gives the agent a wallet with per-transaction and daily caps and a merchant allowlist, so it can only buy where and how much you allowed. Each approved checkout draws a single-use virtual card scoped to that one order amount, and anything above your threshold pauses for a human to approve. Every purchase lands in the audit trail tied to the intent that triggered it.

Further reading: give an agent a virtual card, what Amazon Buy for Me means for builders, and the Agentic Commerce Protocol.

The control surfaces

The controls behind it

The surfaces this use case leans on, each enforced before any money moves.

See the whole flow in how it works, or check what it costs on the pricing page.

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Let this agent spend safely

Fund a capped wallet, write a policy, and issue a scoped virtual card today. Sandbox-first and rail-neutral.

Never moves money without policy