Authoryze
Pricing
- Model
- Usage-Based
Summary
The moment your agent needs to top up its own API credits, you face an ugly choice: hand it your real card, or build a bespoke approval layer from scratch. Authoryze is the infrastructure that sits between those two bad options.
Authoryze issues virtual cards for each agent, enforces per-transaction and aggregate spending caps server-side, and routes anything above your auto-approve threshold to a human reviewer before money moves. The transaction log from the vendor page tells the story clearly: a $42 OpenAI refill clears automatically, a $248 Anthropic top-up goes to Kevin for email approval, and a $612 purchase from an unknown merchant is denied without human involvement. That enforcement happens at the card level — the agent never touches your primary payment method. The 1.5% fee (with a $0.50 minimum per transaction) adds up at volume, and the lack of a self-hosted option means your spend data lives on Authoryze's infrastructure.
Bottom line: Pick this when you need agents buying API credits and ad budget without exposing a real card — but if your compliance posture requires payment data on-premises, this architecture is a non-starter.
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Pros
Sign in to edit- Per-agent virtual cards mean your primary payment method is never exposed to agent processes, so a compromised or runaway agent cannot drain your real account.
- Graduated auto-approve thresholds — you set the ceiling, small purchases clear without interruption, large ones come to you before the charge lands — so you stay in the loop on spend that matters without reviewing every $8 scraping credit.
- Merchant allowlists enforced at the card level, which means an agent cannot purchase from an unapproved vendor even if it constructs a valid-looking justification.
- Every transaction is logged with the agent identity, justification string, decision reason, and approver — exportable as CSV — so an audit question like 'why did the eval-runner spend $248 on Tuesday' has a complete answer without digging through logs.
- MCP-native architecture described by the vendor means agents running on Model Context Protocol can request purchases as a native tool call, rather than requiring a custom integration layer your team maintains.
Cons
Sign in to edit- The 1.5% fee with a $0.50 minimum applies to every transaction: a team running high-frequency, low-value API top-ups — dozens of small refills per day across multiple agents — will find that minimum fee floor turns into a material overhead cost that scales with agent activity, not just spend.
- No self-hosted option is documented anywhere on the vendor page, which means payment metadata — amounts, merchants, agent identities, justifications — all reside on Authoryze's infrastructure. Teams operating under compliance regimes that require payment data sovereignty have no path forward here and will need to build controls inside their own infrastructure or use a programmable card issuer API directly.
- Merchant allowlists require you to enumerate approved vendors upfront. Agents tasked with open-ended research or procurement — where the right vendor isn't known in advance — will generate a stream of denied transactions or require constant allowlist updates, which shifts the maintenance burden back to the team and defeats the autonomy the tool is designed to enable.
About
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-08-16T09:52:47.433Z
Best For
Who it's for
- Teams running autonomous AI agents that need to make purchases
- Enforcing granular spending controls without exposing primary cards
- Maintaining audit trails for agent-initiated transactions
What it does well
- Topping up OpenAI, Anthropic, or other API credits on demand
- Refilling ad campaign budgets on Google or Meta
- Agent-initiated subscriptions to data, scraping, or software tools
- Auto-approved purchases within merchant allowlists and thresholds
Integrations
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Compare Authoryze
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Sign Up to ContributeFrequently Asked Questions
- Is Authoryze free?
- Authoryze is a paid tool. No permanent free tier is offered.
- Is Authoryze open source?
- No — Authoryze is a closed-source tool. Source code is not publicly available.
- Does Authoryze have an API?
- Yes. Authoryze exposes a developer API. See the official documentation at https://authoryze.ai for details.
Curated lists that include this category
When an agent needs to top up its own API credits, teams face a direct choice between handing over the real card or building a custom approval layer from scratch.
How Authoryze works
Authoryze issues a virtual card for each agent. It enforces per-transaction and aggregate spending caps on the server side. Purchases above the auto-approve threshold route to a human reviewer before the charge processes. The transaction log shows the pattern: a $42 OpenAI refill clears automatically, a $248 Anthropic top-up reaches Kevin for email approval, and a $612 purchase from an unknown merchant is blocked without review. Enforcement sits at the card level so the agent never touches the primary payment method. A 1.5 percent fee applies with a $0.50 minimum per transaction.
Use cases
The vendor lists topping up OpenAI, Anthropic or other API credits, refilling ad budgets on Google or Meta, agent-initiated subscriptions to data or scraping tools, and auto-approved buys inside merchant allowlists.
Pros and cons
Per-agent virtual cards keep the primary payment method isolated. Graduated thresholds let small purchases pass while larger ones reach a reviewer. Merchant allowlists block unapproved vendors at the card level, and every transaction carries a full log. The 1.5 percent fee with its $0.50 floor adds noticeable cost for teams that run many small refills daily. No self-hosted option appears in the vendor documentation, so all payment metadata stays on Authoryze infrastructure.
Who it is for / who should skip it
Teams running autonomous agents that need spending controls and audit trails without exposing primary cards will find the per-agent cards and threshold routing useful. Teams with high-frequency low-value transactions should skip it because the fee minimum scales with activity rather than total spend. Organizations that require self-hosted payment data will also need another option.