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AgentPay

by advaitgore
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TypeScript
Remote

AgentPay

Set a budget. Let your agent run. Know it can't overspend.

AgentPay is the authorization layer between an AI agent and real spending. You define the rules — spending caps, allowed merchants, time windows — and every purchase attempt the agent makes is checked against them in real time. Approved transactions go through. Anything outside the mandate is blocked and logged.

No more babysitting every agent action. No more runaway charges.

How It Works

Human sets mandate once
        ↓
  Agent runs autonomously
        ↓
  Before every purchase:
  agent calls authorize_purchase
        ↓               ↓
   ✅ Approved      ❌ Denied
   Agent proceeds   Agent stops,
                    reports to user

AgentPay sits between your agent's intent and the actual transaction — it doesn't move money itself, it decides whether the agent is allowed to.

Related MCP server: cycles-mcp-server

Real-World Examples

Personal assistant agent

"You have $50 tonight. Uber and DoorDash only. Go."

{
  "daily_limit": 50,
  "allowed_merchants": ["uber.com", "doordash.com", "ubereats.com"]
}

Autonomous research agent

"$20 per run. API providers only."

{
  "max_per_transaction": 20,
  "allowed_merchants": ["openai.com", "serpapi.com", "anthropic.com"]
}

Company expense agent

"$500/week. Approved SaaS vendors only."

{
  "weekly_limit": 500,
  "allowed_merchants": ["notion.so", "vercel.com", "github.com", "figma.com"]
}

Quickstart

Install via Smithery (works with Claude, Cursor, Windsurf, and any MCP-compatible client):

npx @smithery/cli install advaitgore/payguard --client claude

You'll be prompted for your agentpayApiKey. Get one in three steps through the MCP server itself:

1. create_account   → creates your user + org
2. create_agent     → provisions an agent, returns api_key
3. create_mandate   → sets spending rules for that agent

Or use the REST API directly.

Example: Agent Authorizing a Purchase

The agent calls authorize_purchase before spending:

{
  "merchant": "openai.com",
  "amount": 10.00,
  "currency": "USD",
  "description": "API credits for task execution"
}

Approved — within mandate:

{
  "status": "approved",
  "transaction_id": "txn_01j9k2m...",
  "amount": 10.00,
  "merchant": "openai.com",
  "remaining_budget": 40.00,
  "message": "Purchase approved within mandate limits"
}

Denied — merchant not on allowlist:

{
  "status": "denied",
  "reason": "merchant_not_allowed",
  "message": "openai.com is not on the approved merchant list for this agent"
}

What the agent should do: approved → proceed with payment. denied → stop and surface the reason to the user. Never retry without updated mandate permissions.

Available Tools

Tool

What it does

authorize_purchase

Check a purchase against the agent's mandate — the core call

get_mandate

View current spending rules for this agent

update_mandate

Change limits or allowed merchants

get_spending_summary

Total spend by category and merchant

get_audit_log

Full history of every authorize/deny decision

rotate_agent_key

Rotate the agent's API key

create_account

Create a new user account + org

create_agent

Provision a new agent under an org

create_mandate

Set spending rules for a newly created agent

REST API

Interactive docs: https://agentpayment-production.up.railway.app/docs

Self-Hosting

git clone https://github.com/advaitgore/agent_payment
cd agent_payment
pip install -r apps/api/requirements.txt
uvicorn apps.api.main:app --host 0.0.0.0 --port 8080

Required env vars:

DATABASE_URL=postgresql://...
JWT_SECRET=...

This server cannot be installed

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license - not found
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quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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