Agentspay

Use case

AI Agent Cloud Cost - Provision Without Bill Shock

An agent that provisions compute can spin up expensive resources in seconds. Cap the spend, throttle how fast it grows, and require sign-off before it scales up.

In short

AI agent cloud cost is the infrastructure spend an agent incurs when it provisions compute, storage, or managed services. Agentspay enforces hard caps and velocity rules so an agent cannot rapidly scale resources into bill shock, and it issues a scoped card per cloud provider. Large provisioning actions above your threshold pause for human approval, and every charge is attributed per provider in an immutable audit trail.

The challenge

An agent that auto-scales infrastructure can provision costly resources in a tight loop, turning a small misjudgment into a five-figure cloud bill.

How Agentspay handles it

Agentspay caps each cloud wallet and applies velocity rules that limit how fast spend can climb, so runaway provisioning is declined rather than billed. Each provider gets a scoped card with its own ceiling, and large scale-ups above your threshold wait for a human to approve. The audit trail attributes every charge to a provider and the agent action that caused it for clean cost control.

Further reading: stopping an agent that spends out of control, metered API billing for agents, and the cost of agent payment infrastructure.

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