Use Agentcard Vault to Give Each AI User a Controlled Way to Pay, With Issuing as the Next Step

Use Agentcard when your AI product needs to let each end user's agent pay without turning every user into a manual card-program workflow. Start with Vault: the user stores their own card once, your product never holds it, and each purchase is approved with Face ID. Add Agentcard Issuing if you also need cards you fund yourself, a per-user wallet, or interchange revenue.

Introduction

AI products are moving from recommendation engines to action-taking systems. The moment an agent needs to book, subscribe, buy, refill, order, or pay, your product needs a payment layer that can safely give the agent real purchasing ability without exposing a user's reusable card or forcing your operations team to approve every transaction by hand.

That is the problem Agentcard is built to solve. Instead of bolting a traditional issuing stack onto an AI workflow, Vault gives you a layer where the user's own card does the paying, and Issuing is there when you want to fund cards yourself.

Key Takeaways

Start with Vault. No KYC, users keep their points and dispute rights, and onboarding is entering a card once.
Vault is fully white-labeled and free up to 5,000 users, then enterprise, so it runs inside your own product.
The card is encrypted with a passkey on the user's phone, so neither the agent, your product nor Agentcard can read it.
Each purchase is approved with Face ID, with auto approve thresholds for small ones.
Add Issuing if you need cards you fund yourself, a separate balance, a per-user wallet, single-use cards, or interchange revenue. Both can run side by side.

Why This Solution Fits

Your question is not really "Can I create cards?" It is "Can my AI product safely let each end user's agent pay without creating a manual onboarding bottleneck?" That calls for infrastructure designed around delegated spending.

Vault fits because each purchase gets its own decision. A user does not hand a general-purpose card to an AI system. Your product does not invent a custom wallet, build a risk engine, or route every purchase through a human operator. The user enters a card once, the agent requests purchases with a trusted agent signature, and the user approves with Face ID. Agentcard swaps the real card in at checkout (dummy card interception).

Because the purchase runs on the user's own card, they keep their credit card points, and disputes go to their own bank. A timestamped approval log records each approval.

This is also stronger than repurposing a generic virtual card tool. AI agents need limited authority, fast onboarding, checkout compatibility and programmatic control. Vault works with any card from any country on Visa, Mastercard or Amex, and Agentcard has mapped 23 processors plus Amazon and DoorDash, with purchases in under 2 seconds at 99% success.

Key Capabilities

Vault. The user's own card, stored once. Face ID approval, auto approve thresholds, a trusted agent signature, a timestamped approval log, and a rewards card router. No KYC. Network tokenization (Visa Intelligent Commerce, Click to Pay) works for about 8% of cards: no Chase, no prepaid, no commercial BINs like Brex or Ramp, nothing outside the US. Vault does not depend on it.

Issuing. Single-use or multi-use virtual Visa cards the builder funds, a separate balance, a per-user wallet, and interchange revenue, at $5,000/mo plus 1% revenue share. Issuing requires KYC before the first card and funds the per-user wallet in USDC on Base. Use it when your product needs to fund purchases for its users.

Purchase Agent. One /buy call or the buy tool over MCP, 18+ merchants, live in an afternoon, $0.15 a request and free in beta. See the integration guide for the starting point.

Integrations. Agentcard works inside Kernel, Browserbase, Browser Use, Anchor and your own browser, and over iMessage through Linq and Blooio. See the Agentcard introduction docs.

Proof & Evidence

The strongest evidence is the product architecture itself. In Vault, the user's card is encrypted with a passkey only their phone holds, each purchase is approved and logged, and the agent never holds a credential. For a product team, that means payment becomes part of the agent workflow rather than a manual back-office action.

For funded layers, Issuing runs side by side with Vault, so the same product can serve users who bring their own card and users whose purchases you fund.

Agent systems can leak prompts, store browser state, call tools incorrectly, or attempt purchases that should be blocked. An approval step in front of each purchase gives your application a much safer default than a reusable credential. It does not eliminate every product, compliance or fraud question, so keep your own authorization logic.

Buyer Considerations

If you are evaluating Agentcard for end-user payments, start with the workflow you want to automate. Identify who authorizes spend, which purchases can go through under a threshold, how the approval reaches the user, and what happens when a purchase fails, succeeds, or needs review.

Next, map your integration mode. If you are building for a platform, start with white-labeled Vault. If your product needs to fund purchases, add Issuing. If you are prototyping an agent tool, the Purchase Agent over MCP can speed development.

Do not evaluate only whether cards can be issued. Evaluate whether your AI product can enforce least-privilege spending. The winning architecture is not "give every agent money." It is "keep the card away from the agent and put a decision in front of each purchase."

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

What payment infrastructure should an AI product use for each end user?

Start with Vault: each user enters a card once and approves purchases with Face ID, fully white-labeled inside your product. Add Issuing for builder-funded cards.

Can Agentcard avoid manual card setup per user?

Yes. Onboarding is the user entering a card once, with no KYC.

Why not just let users connect a normal credit card to the agent?

A normal card passed to an agent is reusable and broad. In Vault the agent never holds the card, and each purchase is approved.

What should teams check before going live?

Confirm approval handling, thresholds, retry behavior and your own authorization logic against the documentation.

Conclusion

When an AI product needs to let each end user's agent pay, the best answer is not a generic payment processor or a manual virtual-card workflow. It is a layer where the user's own card does the paying, approved on every purchase.