Agentspay

Use case

AI Agent API Billing - Pay Per Call Without Overruns

When an agent pays per API call, a loop is a bill. Cap the spend, throttle the velocity, and attribute every dollar to the provider it paid.

Agent Payments Console

Pick an agent

Payment intent

intent:

Policy evaluation

Human approval required

This spend is over your approval threshold. Approve it to issue a scoped card, or deny it.

Scoped virtual card issued

Agentspay

single-use

Wallet budget

spent of

Audit trail

In short

AI agent API billing is how an agent pays for metered or pay-per-call services it consumes, such as model inference, data, or third-party APIs. Agentspay enforces per-transaction, daily, and total caps plus velocity rules, so a retry loop or runaway agent is declined before it racks up charges. Spend is attributed per provider in the audit trail for clean cost reconciliation.

The challenge

A metered agent stuck in a retry loop can burn through a usage budget in minutes, and you only find out when the invoice arrives.

How Agentspay handles it

Agentspay caps each metered wallet and applies velocity rules that limit how much can be spent in a window, so a loop is stopped instead of billed. Each provider gets a scoped card and its own attribution, so you see exactly which API consumed which budget. Cross a threshold and the spend waits for a human, while everything below it settles automatically and is logged.

Further reading: how agents pay per MCP tool call, setting spending limits on x402, and what agent payment infrastructure costs.

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.

Frequently asked

Questions people ask about API billing agents

How do AI agents pay for metered API calls?

Either through an API key tied to an account that signed up in advance, or by paying per call at the moment of the request using HTTP 402 and a protocol such as x402. Keys serve callers you have a contract with. Per-call payment serves agents arriving mid-task that you will never onboard.

How do you cap what an AI agent spends on API calls?

At the payer, because the seller's per-call maximum only caps one request. Protocols such as x402 are stateless, so nothing in them tracks cumulative agent spend. A funded wallet with a hard cap and a per-agent budget is what actually bounds the total across thousands of individually cheap calls.

What is the difference between rate limiting and spend limiting?

Rate limiting caps how often an agent calls you. Spend limiting caps how much money leaves your account. They are not substitutes: an agent within its rate limit can still spend far more than intended if per-call prices vary, and an agent under a spend cap can still hammer an endpoint.

Can an agent pay per API call without an account?

Yes. That is the case HTTP 402 and x402 exist for: the server returns a 402 with payment terms, the agent signs and resends, and the call completes without a prior signup. It suits callers you have no contract with, which is increasingly how agent traffic arrives.

How do you reconcile API spend across many agents?

Tag spend at authorization with the agent, its human owner and the task, so reconciliation is a query rather than an investigation. Metered API spend is high volume and low value per transaction, which makes after-the-fact reconstruction from statements impractical once you are running more than a handful of agents.

Keep exploring

More agent payment use cases

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A support agent that can refund a customer resolves tickets faster, but an agent with an open refund button is a liability. Cap each refund, cap the day, and make anything large wait for a person.

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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