For AI platforms
Payments for AI Platforms - Embed Agent Payments in Yours
Give every agent on your platform a safe way to pay, without becoming a payments company. Embed wallets, policy, cards, and audit, and keep your own rail and issuer.
In short
Payments for AI platforms means embedding agentic payment controls into a product that hosts or runs agents. Rather than building or licensing a rail, a platform puts a rail-neutral control plane in front of its existing issuer, so each customer's agents get wallets, spend limits, approvals, scoped cards, and an audit trail through one integration.
The problem
Why this is hard without a control plane
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Your customers want their agents to transact, but you cannot take on their money risk.
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You do not want to lock into one rail or rebuild card issuing per customer.
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You need per-tenant policy, isolation, and audit out of the box.
The control surfaces
What you get with Agentspay
Each surface is enforced in the platform, not in fragile agent code.
AI agent wallet
Agent wallet
An AI agent wallet is a funded, budgeted account that belongs to a single agent. You top it up to a set amount, attach spend limits and rules, and the agent draws from it. Because the wallet is capped and policy-gated, the agent cannot exceed its budget or spend outside the rules you wrote.
Learn moreHuman approvals
Human approvals
Human in the loop agent payments means an agent's transaction pauses for human sign-off when it crosses a threshold you set. The agent waits, the request is sent to Slack, email, or a webhook, and nothing settles until a person approves or denies. The decision and approver are recorded in the audit trail.
Learn moreVirtual cards
Virtual cards
Virtual cards for AI agents are programmatically issued card credentials that are scoped to a single merchant, amount, and time window. The agent uses a tokenized, masked reference and never sees a raw card number, which keeps you out of PCI scope. You issue and revoke them through a virtual cards API.
Learn moreAudit trail
Audit trail
An audit trail for AI agent spending is an immutable, append-only record of every payment an agent made. Each row links the spend to the intent that triggered it, the agent that requested it, the human who owns the agent, the policy verdict, and the approver. It gives you cost attribution, reconciliation, and a record you can defend.
Learn moreFurther reading: how to monetize an AI agent, the agent payment platform landscape, and paying per MCP tool call. Or see what it costs on the pricing page.
See policy decide
Watch a transaction run the gauntlet
Pick a scenario and watch policy auto-approve the routine spend or hold the big one for a human, then write the audit row.
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
Wallet budget
spent of
Audit trail
Keep exploring
More solutions
For agent builders
Agent builders
You are building the agent. We are the safe way for it to pay. Drop in a wallet, a policy, and a scoped virtual card without building a money-control stack yourself.
ExploreFor businesses
Businesses
Put agents to work on procurement, subscriptions, and ad spend without losing control of the budget. Caps, approvals, and audit your finance team will actually approve.
ExploreFor agents that earn
Agents that get paid
Some agents earn. An agent that sells a service, runs a paid API, or settles with another agent can receive payouts into its wallet, with the same policy and audit.
ExploreShip agents that spend safely
Create a wallet, write a policy, and issue a scoped virtual card in an afternoon. Sandbox-first and rail-neutral.
Never moves money without policy