Pay for a 402-protected resource. Sends USDC payment via x402 protocol and returns the resource content. The agent automatically handles the 402 handshake.
AI agents use pay_request to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool directly commits financial obligations by sending cryptocurrency (USDC) payments. An AI agent with access to this tool could inadvertently or maliciously drain funds by paying for resources without proper authorization or cost awareness. The automatic 402 handshake increases risk by reducing visibility into payment transactions.
From the tool's definition Tool description explicitly states 'Sends USDC payment' and 'Pay for a 402-protected resource', indicating monetary transaction execution.
Documented attack patterns abuse exactly the kind of access pay_request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for pay_request:
{
"version": "1",
"default": "deny",
"tools": {
"pay_request": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to pay_request is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Pay for a 402-protected resource. Sends USDC payment via x402 protocol and returns the resource content. The agent automatically handles the 402 handshake. It is categorised as a Financial tool in the Mcp Afip MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for pay_request: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Afip. Nothing to install.
pay_request is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the pay_request rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pay_request. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pay_request is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
1300 Mcp Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.