Spend controls
AI Agent Spend Controls - Spending Limits, Transaction Caps and Purchase Limits
Spend controls are what stop a runaway agent. Set caps, allowlists, and velocity rules once, and Agentspay enforces them on every transaction before any money moves.
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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
Wallet budget
spent of
Audit trail
In short
AI agent spend controls are rules that limit what an agent can buy: per-transaction, daily, and total caps, merchant and category allowlists, and velocity limits. Agentspay evaluates them at the API boundary, so a hallucinating or compromised agent is declined before it can overspend, not flagged after.
How it works
What Spend controls gives you
Caps at every level
Per-transaction, daily, and lifetime limits stack so a single bad call and a slow drip are both blocked.
Merchant and category allowlists
Restrict an agent to the merchants and categories it needs. Anything else is declined automatically.
Velocity rules
Cap how many transactions or how much spend can happen in a window, so a loop cannot rack up charges.
It is one surface in the flow. Spend controls works alongside the other control surfaces so every agent transaction is checked against policy before any money moves. See the full picture on how it works and the security page.
Also covers ai agent spending limits, agent budget controls, agent transaction cap, agent purchase limit, agentic spend management.
Further reading: what an AI agent governance program has to enforce, what Microsoft Agent 365 governs and what it leaves to you, what Salesforce Agentforce can and cannot cap, why the Gemini Enterprise spend cap stops every agent in the project at once, what the QuickBooks, NetSuite and Xero MCP servers let an agent write, how to set spend limits on an AI agent, human in the loop AI oversight models, what stops runaway agent spend, and prompt injection and agent spend.
Frequently asked
Questions people ask about Spend controls
How do you set an agent purchase limit?
Set it on the agent, not on the card. A purchase limit in Agentspay is a per-transaction ceiling checked against the intended purchase before any credential exists, so an agent that tries to buy above the ceiling never receives a card to buy with. Pair it with a budget over a window so twenty in-limit purchases cannot add up past what you approved.
What is an agent transaction cap?
A transaction cap is the maximum value of any single purchase an agent may make. It is the simplest of the four controls and the easiest to reason about, but on its own it is not enough: a $200 cap still allows unlimited $199 purchases. A transaction cap is useful in combination with a cumulative budget and a velocity rule, not instead of them.
Can you enforce merchant-specific spending controls?
Yes. An allowlist restricts an agent to named merchants or merchant categories, and you can set a different ceiling per merchant, so a cloud provider can carry a higher limit than a general marketplace. Anything off the list is declined before a credential is issued rather than flagged on a statement weeks later.
How do you enforce spend policies across a fleet of agents?
Write the policy once and attach it to agents by role rather than configuring each one. Every intended purchase from every agent is evaluated against the same rules, spend above your threshold routes to human approval, and every decision lands in one audit trail covering card, stablecoin and metered API spend together.
Do card network programs give my finance team spend controls?
Not for your business. The spending limits in Visa Intelligent Commerce and comparable programs belong to the consumer mandate and the issuer, and they constrain one enrolled card. They do not give you a per-agent budget across a fleet, an approval threshold you set, or one audit trail. Those are buy-side policies a control plane enforces above the rail.
How do you set a spending limit for an AI agent?
You attach a policy to the agent rather than to a card. Set a per-transaction ceiling, a budget over a window, a merchant or category allowlist, and a velocity cap. Agentspay evaluates all of them before a credential is issued, so an over-limit purchase is declined rather than reported afterward.
Why is an API key not a spending limit?
A restricted API key controls which endpoints an agent can call, not how much money those calls move. An agent with a valid key can invoke a payment tool a thousand times in an hour and every call is authorized. Amount, frequency, and counterparty limits have to be enforced by a separate policy layer.
Can spend controls stop a runaway agent loop?
Velocity rules are the control that does this. A per-transaction cap alone will not help, because a loop making forty small compliant purchases stays under it every time. Capping the count and total spend inside a time window is what breaks the loop, and it fires before the charges settle.
Do card issuer limits replace agent spend controls?
They cover part of it. An issuer enforces per-card caps and merchant locks at authorization, which is real enforcement worth having. What it cannot do is hold one budget across several cards and rails, pause for human approval, or tie a decline back to the agent and task that triggered it.
What is a transaction cap for an AI agent?
A transaction cap is the maximum value a single agent purchase may reach. It is the simplest control to reason about and the easiest to defeat on its own, because an agent stuck in a loop can make forty compliant purchases that each sit under the cap. Pair it with a window budget and a velocity rule.
How do you set a purchase limit on an AI agent?
Define the limit as policy on the agent identity, not inside its prompt or its code. A prompt instruction is a suggestion the model can be argued out of. A policy limit is checked at the authorization boundary, so the purchase is declined by infrastructure the agent has no way to reach or edit.
What is a payment threshold, and how is it different from a cap?
A cap blocks. A threshold routes. Below the threshold an agent pays automatically, above it the transaction pauses for a named person to approve or deny, and above the cap nothing settles at all. Running all three in tiers is what lets agents move quickly on small spend without losing oversight of large spend.
How should merchants set spend limits and approval thresholds for AI agents?
Set them per agent, not per company, and enforce them before a credential exists rather than after a charge lands. A workable starting shape is a per-transaction ceiling sized to your typical order, a rolling weekly total per agent, a merchant allowlist, and a velocity rule that catches a retry loop. Route anything above the ceiling to a named human, and log the policy that allowed each approval.
Which providers offer built-in spend limits and session keys so my team can set per-order controls without extra code?
Very few, and it is worth checking rather than assuming. Most agent platforms issue a credential that scopes what an agent may call, never how much it may commit, so a session key ends the session but does not cap the spend inside it. AWS AgentCore is the closest: it exposes one optional per-session USD amount on a session that lives at most eight hours, with no cumulative daily or monthly total behind it, so each new session restarts at the full maximum. Gemini Enterprise enforces a hard monthly cap but scopes it to a billing project, so it cannot tell one agent from another. Agent 365 and Agentforce express no enforced amount at all. Per-order control without extra code means the limit has to live in the policy layer that authorizes the payment, not in the key.
What is agentic spend management?
Agentic spend management is the practice of budgeting, authorizing and reconciling money that AI agents spend rather than employees. It borrows the shape of corporate spend management, budgets, approvals and policy, and adds two agent-specific requirements: enforcement in milliseconds at machine speed, and attribution of every charge to an agent, a task and a human owner.
Keep exploring
More control surfaces
AI agent wallet
Agent wallet
A wallet is the unit of trust for agent money. Give each agent its own funded wallet with a hard budget, and it can only ever spend what is inside, never your full balance.
ExploreHuman approvals
Human approvals
For the spend that matters, you want a person in the loop. Set a threshold and any transaction above it is held for a one-tap approve or deny before it settles.
ExploreVirtual cards
Virtual cards
Hand an agent a card, not your card. Agentspay issues scoped virtual cards that are merchant-locked, single-use, and time-bound, so a leaked number is worthless beyond its scope.
ExploreAudit trail
Audit trail
When finance asks which agent spent this, you need one answer. Agentspay writes every transaction to an immutable audit trail, traced to intent, agent, owner, and policy.
ExplorePut Spend controls to work
Wire it up in the sandbox today, with the SDKs you already use. Agentspay never moves money without policy.
Never moves money without policy