# AgentPays

> Use this tool when you need to securely manage AI agent spending and protect users from potential security threats. AgentPays provides virtual card issuance, policy rules, and approval workflows to enable controlled agent transactions. It is ideal for use cases where AI agents require payment capabilities, such as e-commerce or financial transactions, and users need protection from compromised agents.

Canonical page: https://skillsregistry.net/skills/agentpays  
JSON: https://api.skillsregistry.net/v1/skills/agentpays

## Description

AgentPays is a payment infrastructure platform designed for AI agents, providing virtual card issuance, server-side policy rules, and human approval workflows to enable safe and controlled agent spending while protecting users from compromised or prompt-injected agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentpays)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentpays"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentpays` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentpays/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt