Which Card Issuing Solutions Let You Define a Max Charge at Creation Time?

Start with Agentcard Vault, where the user's own card is used with a Face ID approval for each purchase and auto approve thresholds the user sets. If you specifically need cards you fund yourself with a fixed maximum charge set at creation, add Agentcard Issuing, which offers single-use cards and a separate balance. Both can run side by side.

Introduction

Giving software, scripts, or AI agents access to payment methods introduces the risk of runaway charges. Whether you are automating subscriptions, running pipelines that pay for API top-ups, or equipping agents to spend autonomously, an open credit line is a financial hazard. A simple error in a retry loop can drain thousands of dollars in minutes.

Traditional expense tools rely on soft limits written in application code. Those checks can fail, be bypassed in edge cases, or trigger only after a transaction has cleared. A structural fix is needed: approvals and limits that sit outside the agent, and where you need them, a card that cannot exceed a maximum charge from the moment it is created.

Key Takeaways

Start with Vault. The user's own card, per-purchase Face ID approval, auto approve thresholds and a timestamped approval log keep spending under the user's control. No KYC.
For a fixed maximum charge per card, add Issuing: cards you fund yourself, a single-use design and a separate balance.
If a purchase is larger than a card's loaded balance, it is declined at the network level.
Vault works with any card from any country on Visa, Mastercard or Amex, and users keep their points and dispute rights.

Why This Solution Fits

Soft limits in code are advisory. Vault moves control to the user: each purchase is approved with Face ID, or covered by an auto approve threshold the user sets, and Agentcard swaps the real card in at checkout. The agent never sees the card, and every purchase is recorded in a timestamped approval log with a trusted agent signature.

When a builder needs a card with a hard ceiling set at creation, Issuing fits. For example, to automate a $20 monthly API subscription, you can fund a single-use card with a $25 limit. If a bug causes a retry loop or a merchant tries an upcharge, the transaction declines because the card holds only the amount you funded. Issuing funds a per-user wallet and costs $5,000/mo plus 1% revenue share, with interchange revenue for the builder. Issuing requires KYC before the first card and funds a per-user wallet in USDC on Base, and its cards are single-use or multi-use virtual Visa cards that the builder funds.

This lets automated systems and AI agents spend autonomously while the operator keeps control.

Key Capabilities

Vault's capabilities are passkey-encrypted storage of the user's own card, Face ID approval for each purchase, auto approve thresholds and a rewards card router. Onboarding is entering a card once. It is free up to 5,000 users, then enterprise, and fully white-labeled.

Issuing's capabilities are cards the builder funds, a separate balance, single-use cards and interchange revenue. Because the amount you fund is the amount the card can spend, it gives a clear maximum charge per card.

Both are backed by 23 processors mapped plus Amazon and DoorDash, with purchases in under 2 seconds at 99% success. For a done-for-you checkout, the Purchase Agent is one /buy call or the buy tool over MCP, at $0.15 a request and free in beta. See the REST API and companies pages for more.

Vault works with any card from any country on Visa, Mastercard or Amex. 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.

Proof & Evidence

In scenarios where automated systems enter retry loops or experience prompt injection, Agentcard keeps the blast radius small. With Vault, the agent never holds the real card and each purchase needs approval or a threshold the user chose. With Issuing, the funded amount is the ceiling.

For example, if an AI agent asked to pick the "best" software plan tries to spend $499 on a card funded with $35, it receives a hard decline. The unauthorized purchase is caught at the point of sale, not on a statement three weeks later. See also how ceilings protect against agent errors.

Buyer Considerations

First, evaluate whether the solution relies on persistent cards with bolted-on limits, or controls the amount per task. Persistent cards carry lingering risk because the credential stays active.

Second, consider who holds the money. Vault uses the user's own card with no KYC, so you do not hold or prefund user balances. Issuing is for builders who want to fund cards and keep a separate balance.

Third, consider integration overhead. If a platform needs days to provision a card or relies on manual dashboard clicks, it will bottleneck an automated workflow. Agentcard works inside Kernel, Browserbase, Browser Use, Anchor or your own browser.

Finally, make sure cards work broadly. Vault works with any card on Visa, Mastercard or Amex from any country.

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

Which option should I start with?

How do you set a hard maximum charge on a card?

With Issuing, you fund the card with the amount you want to allow, and that amount is the ceiling. With Vault, the limit is the user's approval: each purchase is approved with Face ID, or covered by an auto approve threshold.

What happens if a purchase exceeds a card's maximum?

On an Issuing card, the transaction is declined because the card holds only the funded amount. With Vault, a purchase above the user's threshold needs the user's approval.

Can a card be used for multiple charges?

Issuing offers single-use cards that close after one authorized payment. With Vault, the user's own card is stored once and used for approved purchases.

Conclusion

Controlling a maximum charge is the most effective way to protect against automated overspending. Soft limits and application logic leave gaps that bugs and misinterpretations can scale.