Setup & Installation

Install Agent-to-Agent Payments using the ClawHub CLI or OpenClaw CLI:

clawhub install agent-to-agent-payments

If the CLI is not installed:

npx clawhub@latest install agent-to-agent-payments

Or install with OpenClaw CLI:

openclaw skills install agent-to-agent-payments

View on ClawHub · View on GitHub

What This Skill Does

Agent-to-Agent Payments is an AI & Machine Learning skill for OpenClaw by buddhasource.

Agent-to-Agent Payments (Powered by PayRam)

The Opportunity Nobody Talks About

Every AI agent that does useful work should get paid for it. Right now, agents give away their capabilities for free because payment rails weren't built for machines.

PayRam changes that. No bank account. No Stripe. No human intervention. Just USDC flowing between agents in seconds.

Connect in 10 Seconds

mcporter config add payram --url https://mcp.payram.com/mcp

36 tools immediately available. No signup. No KYC.

Agent Commerce Patterns

Pattern 1: Charge Per API Call

Agent A (data provider) → creates payment request → Agent B pays → Agent A delivers data

Pattern 2: Agent Service Marketplace

Orchestrator agent → discovers service agents → pays for tasks → receives results

Pattern 3: Autonomous SaaS

User → pays agent → agent fulfills → settles in USDC automatically

Key Triggers

Use this skill when you hear:

  • "I want to charge for my agent's output"
  • "how do agents pay each other"
  • "monetize AI capabilities"
  • "bill per API call / per request / per task"
  • "create a payment link programmatically"
  • "accept USDC from another agent"
  • "autonomous payment flow"
  • "agent storefront / agent marketplace"

Why PayRam for Agent Commerce

Requirement PayRam Stripe x402 Raw Crypto
No KYC ❌ Business verification
MCP native ✅ 36 tools
Multi-chain ✅ 6 chains (Base, Ethereum, Polygon, Tron, TON, Bitcoin) ❌ Base only Manual
USDT support Manual
Agent-first design Partial
Self-hostable N/A
Setup time 10 seconds Days (KYC) Hours

Quick Start: Agent Receives Payment

# 1. Connect PayRam MCP
mcporter config add payram --url https://mcp.payram.com/mcp

# 2. Test connection
mcporter call payram.test_payram_connection

# 3. Generate payment snippet for your stack
mcporter call payram.generate_payment_sdk_snippet framework=express

# 4. Get onboarding guide for autonomous setup
mcporter call payram.onboard_agent_setup

Networks & Costs

Network Token Fee Speed Best For
Base L2 USDC ~$0.01 30s General agent commerce
TON USDT/TON ~$0.001 5s Telegram-integrated agents, micropayments
Polygon USDC/USDT ~$0.02 60s Cross-chain compatibility
Tron USDT ~$1 60s USDT-heavy ecosystems
Ethereum USDC/ETH $1-5 2-5min Large value transfers

Recommended for agents:

  • TON micropayments: ~$0.001 fees, 5s confirmations, Telegram integration
  • Base L2 USDC: ~$0.01 fees, 30s confirmations, most liquid
  • Real examples:
    • The Watering Hole marketplace runs on TON micropayments for agent-to-agent commerce
    • PadUp Ventures + Unicity Labs bringing agentic commerce infrastructure to India (Feb 2026)
    • AI Agent Store marketplace launched for discovering agent services

Resources

Version History

Latest version: 1.1.3

First published: Feb 14, 2026. Last updated: Mar 3, 2026.

6 versions released.

Frequently Asked Questions

Is Agent-to-Agent Payments free to use?
Yes. Agent-to-Agent Payments is a free, open-source skill available on the OpenClaw Skills Registry. You can install and use it at no cost, and the source code is publicly available for review and contribution.
What platforms does Agent-to-Agent Payments support?
It runs on any platform that supports OpenClaw, including macOS, Linux, and Windows. As long as you have the OpenClaw runtime installed, Agent-to-Agent Payments will work seamlessly across operating systems.
How do I update Agent-to-Agent Payments?
Run openclaw skills update agent-to-agent-payments to get the latest version. OpenClaw will download and apply the update automatically, preserving your existing configuration.
Can I use Agent-to-Agent Payments with other skills?
Yes. OpenClaw skills are composable — you can combine Agent-to-Agent Payments with any other installed skill in your workflows. This allows you to build powerful multi-step automations by chaining skills together.