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What are agentic payments?

How AI agents pay for services, make purchases, and issue refunds, and where spending controls come in.

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Agentic payments are payments that an AI agent requests or makes while carrying out a task, such as buying data or paying a supplier.

Why agent payments need spending rules

Permission to complete a task should also specify what the agent may spend.

A payment may complete before someone notices a mistake. Check the request before sending it.

Assign a budget owner and keep a record of each payment decision.

A payment check compares what the agent wants to pay with the rules its team has set. The request can proceed, stop, or wait for a person. We explain the need for these checks in Agentic Payments Are the Wild West.

Where agentic payments show up

A payment often becomes part of a task an agent already handles.

A support agent resolves an issue and wants to issue a refund. A procurement agent finds a supplier and prepares a purchase. A travel agent books a hotel within a trip budget. A claims agent prepares a settlement. An engineering agent calls a paid API and receives an HTTP 402 Payment Required challenge.

For example, a support agent may resolve a billing error and request a refund. The payment check determines whether it may issue that refund or needs approval.

After payment, the record should show what was requested, which rules applied, and whether the transfer completed.

The enterprise opportunity

A business might let a procurement agent buy approved supplies within a department budget.

A larger order can require approval from the person responsible for that budget.

The same approach applies to contractor payouts, compute purchases, and customer credits, with rules suited to each task.

When agents handle these payments, finance still needs to explain the spending and review unusual requests. Our view of the opportunity for businesses is explored in The Enterprise is the Biggest Opportunity for Agentic Payments.

What makes this different from subscriptions, invoices, and checkout

A subscription usually has a known vendor and billing schedule. An agent may choose the vendor, amount, or payment method during a task.

For example, a research agent may compare data providers and request payment only when it finds a useful result.

Check the proposed payment against the owner’s rules. A budget mentioned in the conversation is not an enforced spending limit.

A simple agentic payment example

A procurement agent compares three approved data providers and requests $18 for a dataset.

Conto checks the recipient, amount, and remaining budget. The request can proceed, stop, or wait for approval.

The payment result is recorded separately from the approval, so the team can see whether money was sent.

The core payment actions

Buying and booking

Agents purchase goods, services, travel, compute, data, or inventory.

Refunds and credits

Agents resolve customer issues by issuing small refunds, credits, replacements, or make-goods.

Payouts

Agents prepare or trigger payouts to suppliers, contractors, drivers, creators, service providers, or marketplace participants.

API payments

Agents pay for API calls, data, model usage, tool execution, or other machine-priced services through protocols such as x402 and MPP.

Agent-to-agent

One agent pays another agent, team, wallet, or hosted payment account, or requests payment from one.

Each pattern needs its own limits and review rules. Conto's solutions library maps these patterns to concrete payment workflows.

What has to be controlled

Agentic payments need more than a balance and a private key.

Identity

Which agent is asking to spend.

Authority

Which wallet, card, or payment account the agent can use.

Amount

Per-payment, daily, weekly, monthly, project, service, or session limits.

Recipient

Approved wallets, merchants, vendors, counterparties, or API services.

Timing

Allowed days, hours, blackout windows, and request expiration.

Risk

Trust scores, sanctions checks, unusual velocity, duplicate payments, and new recipients.

Review

Approval thresholds, escalation paths, and time-bound decisions.

Evidence

The final record of what was requested, which rule fired, who approved, and what settled.

The basic flow

The agent submits an amount, recipient, and purpose to Conto.

Conto checks the rules assigned by the budget owner and returns a decision.

The connected payment system follows that decision and reports the result.

A control layer between agents and settlement

Agents and operators connect through product and developer surfaces. Conto checks each request, routes exceptions to a person, and records the decision. Settlement happens on whatever rail the agent's wallet uses.

Agents and budget owners

procurement
support
devops
budget owners

Integration surfaces

SDK
REST API
MCP
CLI
Conto Pay

Control plane

Conto

Every connected request is checked and scored before it is sent, then logged with full context.

Policy engine

Apply the owner’s limits, recipient rules, categories, and payment frequency.

Network intelligence

Trust and risk scores on every counterparty.

Approvals

Ask the owner’s authorized reviewers before execution.

Agent wallets

A governed wallet identity for each agent.

Settlement

Stablecoins
x402 pay-per-call

From wallets Conto manages or wallets controlled by the agent.

System of record

AgentPolicy resultApprovalCounterpartySettlementReceipt

Every payment reconciled with full context for finance, operations, and security.

Where Conto fits

Connect Conto through a managed payment account or your agent’s payment tools. Use supported stablecoin payments or connected cards.

That can look like a hosted Conto Pay account with a managed wallet and approvals. It can also look like a custom agent calling the Conto SDK, an OpenClaw or Hermes skill checking policy before a wallet transfer, or an x402 agent pre-authorizing a paid API call.

When to start thinking about this

Set spending rules before giving an agent access to real funds.

Agree on the budget owner, approval requirements, and payment records while testing the workflow.

Related Conto resources

Try your first agent payment

Choose an agent, set its spending rules, and try a payment with sandbox funds. Check the decision and payment record before going live.

Next guide

Spend management for AI agents