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Open AgentPay (open-agentpay)

PyPI Version License Python 3.10+

The Open-Source Payment Infrastructure & Financial Firewall for Autonomous AI Agents.

AgentPay equips autonomous AI agents with gasless micro-payments (Circle USDC on Arbitrum Sepolia & Base) governed by an in-process, non-custodial Financial Firewall.


⚡ Quickstart

Installation

pip install open-agentpay

Basic Usage: Transparent 402 Negotiation & Policy Guard

from agentpay.client import AgentPayClient, LocalSigner
from agentpay.policy import SQLitePolicyEngine, PolicyConfig

# 1. Initialize local signer (non-custodial private key)
signer = LocalSigner("0xac0974bec39a17e36ba4a6b4d238ff944bacb478cbed5efcae784d7bf4f2ff80")

# 2. Configure local financial firewall
policy = SQLitePolicyEngine.create_in_memory(
    PolicyConfig(
        id="agent_firewall",
        wallet_address=signer.address,
        max_per_tx_base_units=100_000,          # Max $0.10 per call
        rolling_budget_24h_base_units=1_000_000, # Daily limit $1.00
        circuit_max_rpm=5,                      # Tripped if > 5 requests/min
    )
)

# 3. Create client with automatic x402 challenge negotiation
client = AgentPayClient(signer=signer, policy=policy)

# 4. Transparent call (auto-pays 402 challenge via EIP-712 off-chain signature)
response = client.get("https://api.seller.com/v1/market-data?ticker=NVDA")
print(response.json())

LangChain Paid Tool Integration

from agentpay.integrations.langchain import PaidTool

market_tool = PaidTool(
    name="get_stock_quote",
    description="Fetch real-time stock price (costs $0.05 USDC per query)",
    endpoint="https://api.seller.com/v1/market-data",
    method="GET",
    client=client,
)

🔒 Security Guarantees

  • Non-Custodial: Private keys never leave the agent's local trust domain.
  • Fail-Closed: Any policy violation, budget exhaustion, or circuit trip aborts immediately with zero funds spent.
  • Gasless for Agents: AI Agents hold only USDC; execution gas is sponsored via EIP-3009 by the seller or facilitator.

For complete documentation, visit AgentPay GitHub.

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