blacktea
/install blacktea
blacktea: spending controls for paying agents
When to use
Use blacktea whenever this agent might pay for something online: a paywalled API, a premium data feed, any x402-enabled endpoint. blacktea sits between the agent and its wallet and enforces a spending policy before any money moves. It auto-approves small amounts, asks the human for larger ones, rejects what is over the line, and writes an audit log of every payment.
Setup (runs as a local MCP server)
blacktea ships as an MCP server. Register it once.
OpenClaw (~/.openclaw/openclaw.json, or openclaw mcp set):
{
"mcp": {
"servers": {
"blacktea": {
"command": "npx",
"args": ["-y", "@nmrtn/blacktea-mcp"],
"env": {
"EVM_PRIVATE_KEY": "0x...",
"BLACKTEA_POLICY": "/path/to/policy.json"
}
}
}
}
}
Hermes:
hermes mcp add blacktea \
--command npx \
--args -y @nmrtn/blacktea-mcp \
--env EVM_PRIVATE_KEY=0x... BLACKTEA_POLICY=/path/to/policy.json
No wallet handy? Add BLACKTEA_RAIL=mock (and optionally
BLACKTEA_MOCK_AMOUNT=5) to exercise the full policy and approval flow with no
x402 endpoint, no USDC, and no signing.
Tools this exposes
pay(url, intent, max_amount?): attempt a paid request. Runs the policy first. If the policy holds it for approval, returnsstatus: "approval_required"with anintent_idand the amount, and does NOT pay yet. If allowed, settles and returns the response data plus a receipt.approve_payment(intent_id): settle a held payment, after the human confirms.reject_payment(intent_id): decline a held payment. Nothing is charged.audit_query(limit?): recent payment events from the audit log.
Ask before spending
When pay returns approval_required, do NOT treat it as a failure. Tell the
human the amount and what it is for, in plain language, and only call
approve_payment after they say yes. Below the auto-approve limit it just pays.
Over the hard limit it rejects. The human stays in the loop without leaving the
chat.
Policy
A policy.json governs every payment. Example:
{
"rules": [
{ "if": { "amount_lt": 1 }, "then": { "approve": true } },
{ "if": { "amount_gte": 100 }, "then": { "reject": "over_hard_limit" } }
],
"default": { "approval": "callback" }
}
This auto-approves under 1 USDC, asks the human between 1 and 100, and rejects over 100. The full operator set is in the policy cookbook (see Links).
Pitfalls
- The wallet key signs real payments. Use a dedicated agent wallet funded only with what you are willing to let the agent spend.
- Through MCP, rely on the approve/reject tools, not a console prompt. The server holds the payment and asks for confirmation through the chat.
Verification
Run with BLACKTEA_RAIL=mock and BLACKTEA_MOCK_AMOUNT=5 and a policy that
auto-approves only under 1 USDC. Ask the agent to pay any URL. It should pause,
ask you to approve 5 USDC, settle only after you approve, and audit_query
should then show the settled payment.
Links
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install blacktea - 安装完成后,直接呼叫该 Skill 的名称或使用
/blacktea触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
blacktea 是什么?
Spending controls for AI agents that pay online via x402. Set limits, require human approval, audit every payment. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 43 次。
如何安装 blacktea?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install blacktea」即可一键安装,无需额外配置。
blacktea 是免费的吗?
是的,blacktea 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
blacktea 支持哪些平台?
blacktea 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 blacktea?
由 Nicolas Martin(@nmrtn)开发并维护,当前版本 v0.1.0。