MANDATESHIELD FOR AI AGENT BUILDERS

Payment guardrails for autonomous AI agents

Give an agent the ability to transact without giving the model authority to reinterpret the user's limits at checkout.

Who this is for

Teams building shopping, travel, procurement, research or operations agents that can place orders or initiate payments.

The execution risk

A model may correctly understand the original request and still encounter manipulated tools, changed prices or a substituted merchant later in the workflow. The final payment needs a deterministic boundary outside the model.

How the control fits

  1. Capture the user's approved amount, currency, merchant scope and expiry.
  2. Normalize the final checkout into a protocol-neutral purchase envelope.
  3. Call MandateShield immediately before the payment or order API.
  4. Execute only an ALLOW decision and store the returned receipt.

Controls included

Hard spending capsMerchant allowlistsConsent and expiry checksPrompt-injection signalsConsume-once idempotencyIntent and credential binding

The operational result

The agent remains useful and autonomous while payment authority stays bounded by machine-enforceable user intent.

AI agent payment security guide →API documentation →

Check a purchase boundary now

Use the public validator with sample data, or add one API call immediately before payment execution.

Open free validator →