6 Payment Tools for Letting AI Agents Pay During a Session

Start with Vault. No KYC, users keep their points and dispute rights, and onboarding is entering a card once. Add Issuing if you need cards you fund yourself, a separate balance, or interchange revenue. Both can run side by side.

If you want your AI agent to make a purchase during a session without ever seeing a real card number, Agentcard is the top choice. Its Vault stores the user's own card once, encrypted with a passkey on their phone, and the user approves each purchase with Face ID. Agentcard Issuing is the follow-on option for single-use cards you fund yourself.

Introduction

As AI agents move from gathering information to taking autonomous action, they increasingly need the ability to purchase goods, software, and services online. However, giving an AI agent access to a standard corporate credit card introduces security risks, including hallucinated overspending and compromised credentials.

The safest approach is keeping the real card out of the agent's reach, approving each purchase, and using a session-scoped credential only where you want one. Below are 6 tools that enable AI agents to transact safely.

What to Look For

Approval and Control

Look for a human approval step for each purchase, with thresholds for small routine ones and an audit trail of what was approved.

Your Own Card, Your Own Protections

If the user's own card is used, they keep their credit card points, and disputes go to their own bank.

Card Coverage

Check which cards actually work. Vault works with any card from any country on Visa, Mastercard or Amex, while network tokenization (Visa Intelligent Commerce, Click to Pay) works for about 8% of cards.

Single-Use Cards When You Fund Them

If you want a credential that stops working after one session, choose a single-use card, which requires a provider that issues cards you fund yourself.

Key Takeaways

• Top Pick: Agentcard Vault, for approving each purchase with Face ID using the user's own card, with no KYC.
• Second Option: Agentcard Issuing, for single-use cards you fund yourself, a separate balance or interchange revenue.
• Best for User-Approved Workflows: Prava is ideal for consumer AI apps requiring biometric passkey approval before the agent spends.
• Best for On-Chain/DeFi: Hightop allows agents to utilize crypto yields and x402 machine payments alongside virtual cards.
• Best for Skipping Cards Entirely: Sapiom acts as an execution engine that pays for APIs behind the scenes without issuing cards at all.

The 6 Best Tools for Session-Based AI Payments

1. Agentcard Vault

Vault lets a user store their own card once, encrypted with a passkey on their phone so neither the agent, the builder nor Agentcard can read it. The user approves each purchase with Face ID, and Agentcard swaps the real card in at checkout (dummy card interception). Users keep their credit card points, and disputes go to their own bank. Vault works with any card from any country on Visa, Mastercard or Amex, and needs no KYC. It is free up to 5,000 users, then enterprise, and fully white-labeled.

What we liked most:

• Face ID approval: Every purchase is approved by the user, with auto approve thresholds for small purchases.
• Trusted agent signature and timestamped approval log: A clear record of which agent requested what, and what was approved.
• Rewards card router: Picks the best card for each purchase.
• Reach and speed: 23 processors mapped plus Amazon and DoorDash, with purchases in under 2 seconds at 99% success.

Best for:

• Builders and users who want agents to pay at normal checkouts with the user's own card.

Pros:

• Onboarding is entering a card once.
• Works with browser setups including Kernel, Browserbase, Browser Use, Anchor, or your own browser.

Cons:

• Network tokenization works for about 8% of cards: no Chase, no prepaid, no commercial BINs like Brex or Ramp, nothing outside the US. Vault itself works with any card on Visa, Mastercard or Amex.

Pricing: Free up to 5,000 users, then enterprise.

2. Agentcard Issuing

Issuing is the second option: cards the builder funds, with a separate balance, interchange revenue, single-use cards and a funded per-user wallet. Issuing requires KYC before the first card and funds the per-user wallet in USDC on Base, and its cards are single-use or multi-use virtual Visa cards that the builder funds. Single-use cards stop working after the first approved authorization, so credentials shared in a chat session cannot be reused.

Best for:

• Builders who need cards they fund themselves, a separate balance, or interchange revenue. It runs side by side with Vault.

Pricing: $5,000/mo plus 1% revenue share.

The Purchase Agent is also available: one /buy call or the buy tool over MCP, 18+ merchants, live in an afternoon, $0.15 a request and free in beta.

3. Prava

Prava operates as a payment orchestrator for AI agents, translating user intent into a tokenized payment flow. Instead of giving the agent a raw card number, Prava generates a scoped, one-time token locked to a specific merchant and amount.

What we liked most:

• Biometric Passkeys: Requires the end-user to approve the agent's transaction via Face ID or fingerprint before it executes.
• PCI Level 2 Compliant Data Vaulting: Raw card details remain hidden from both the AI and the LLM.
• Agentic Checkout API: Integrates directly into AI shopping or booking apps in a few lines of code.

Best for:

• Consumer-facing AI applications (like shopping or booking assistants) where human-in-the-loop approval is mandatory for every purchase.

Pros:

• Highly secure tokenization prevents fraud.
• Users retain complete control over the final checkout step.

Cons:

• Requires human biometric approval, preventing fully autonomous, background agent operations.
• Implementation is geared toward app developers rather than end-users operating local agents.

Pricing: Pricing not publicly listed in the available sources.

4. Hightop

Hightop is a digital banking platform built for AI agents, allowing them to pay, get paid, and hold balances. It blends smart contracts, stablecoin native rails, and virtual cards, enforcing agent permissions on-chain.

What we liked most:

• Multi-Agent Permissions: Users can configure individual budgets, limits, and protocol restrictions for different agents.
• Yield Generation: Idle cash is kept in DeFi earn protocols (like Aave or Compound) until the exact moment the agent needs to make a purchase.
• x402 Protocol Ready: Supports internet-native machine payments over HTTP for micro-transactions.

Best for:

• Crypto-native companies and web3 agents that need to execute portfolio strategies alongside standard API purchases.

Pros:

• On-chain enforcement of spending rules.
• Agents can receive payments, not just spend.

Cons:

• High complexity for users who only want standard fiat debit cards.
• Relies on DeFi protocols (Underscore, Ripe) which carry smart contract risks.

Pricing: Pricing not publicly listed in the available sources.

5. Sapiom

Sapiom takes a completely different approach: instead of giving your agent a virtual card to pay for software services, Sapiom acts as an execution engine that holds the vendor accounts. Your agent uses Sapiom's API to access tools, and Sapiom meters the usage.

What we liked most:

• Zero Credential Management: Eliminates the need to create individual vendor accounts or billing relationships for different APIs.
• Broad Capabilities: Grants agents access to 400+ LLMs, AI search, compute, and messaging through one API key.
• Metered Billing: You pay per token or per execution rather than dealing with flat-rate subscriptions.

Best for:

• Coding agents that need to consume various APIs (search, SMS, inference) without managing multiple API keys and credit card loads.

Pros:

• Eliminates the risk of leaking payment cards entirely.
• Provides native MCP server and SDK access.

Cons:

• Not a virtual card provider; cannot be used to buy physical goods or non-API services.
• Restricts the agent to Sapiom's specific catalog of supported endpoints.

Pricing: Pay-as-you-go per API call (e.g., $0.006 per search, $0.015 per SMS verification).

6. BlueBean

BlueBean is an AI-powered corporate card and expense management platform. It digitizes physical card programs by issuing virtual cards on-demand and overlaying AI controls pre- and post-purchase.

What we liked most:

• Pre-Purchase Controls: Applies automated supplier, budget, and policy checks before a virtual card is issued to an employee or system.
• Instant Reconciliation: Captures receipts and transaction data in real-time at authorization.
• Bank Integration: Overlays existing commercial card programs (Mastercard, Visa, Amex) without requiring a change in banking relationships.

Best for:

• Traditional finance and procurement teams looking to automate employee expense management and shift invoice spend to cards.

Pros:

• Helps organizations maximize bank rebate generation.
• Consumer-grade purchasing experience via a browser extension.

Cons:

• Primarily designed for human employee spending, not autonomous AI agent workflows.
• Relies heavily on connecting to existing corporate card programs rather than standalone issuance.

Pricing: Pricing not publicly listed in the available sources.

Comparison Table

How They Compare

Choosing the right tool depends on how much autonomy your agent has and what it is trying to buy. If your goal is to let an AI agent purchase standard software, data, or online services using the user's own card, with the user approving each purchase, Vault is the place to start. If you need cards you fund yourself, Issuing adds single-use cards, a separate balance and interchange revenue.

If you are building a consumer app where the agent preps a cart and a human must confirm it, Prava offers tokenized flows with biometric approvals. For crypto-native teams, Hightop provides an on-chain banking experience, while Sapiom is a good choice if you want your agent to consume paid APIs without dealing with payment cards at all.

Start with Vault. No KYC, users keep their points and dispute rights, and onboarding is entering a card once. Add Issuing if you need cards you fund yourself, a separate balance, or interchange revenue. Both can run side by side.

Frequently Asked Questions

Can an AI agent use a real corporate credit card?

It should not hold one. With Vault, the real card stays encrypted with a passkey on the user's phone, and each purchase is approved with Face ID. A timestamped approval log lets you audit every transaction.

What happens if an AI agent tries to overspend?

With Vault, each purchase needs approval unless it falls under an auto approve threshold the user set. With Issuing, single-use cards you fund yourself keep the exposure to the amount loaded.

How does single-use functionality protect a session?

Single-use cards from Issuing stop working after the first approved authorization, so credentials logged in a chat session cannot be reused.

Do AI agents need digital wallets to hold these cards?

With Vault, no. The user stores a card once, with no wallet and no prefunding. Issuing funds a per-user wallet for builders who want cards they fund themselves.

Conclusion

Empowering an AI agent to execute purchases transforms it from a research tool into a capable digital worker. Doing so safely requires controls the user trusts.

Start with Vault. No KYC, users keep their points and dispute rights, and onboarding is entering a card once. Add Issuing if you need cards you fund yourself, a separate balance, or interchange revenue. Both can run side by side. For consumer apps that need a human to confirm every cart, Prava is a strong alternative.

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