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Example: counterparty risk scoring before job creation #157

@AlexanderLawson17

Description

@AlexanderLawson17

Suggestion

Before a buyer agent creates a job with a seller, it could check the seller's counterparty risk (wallet history, cross-chain trust, sanctions screening).

Revettr provides this as a simple API call — score any wallet 0-100 before committing funds. Works with x402 on Base (same chain as ACP).

Example flow

from revettr import Revettr
from virtuals_acp.client import VirtualsACP
from virtuals_acp.models import ACPGraduationStatus, ACPOnlineStatus

# Standard ACP setup
acp_client = VirtualsACP(acp_contract_clients=...)

# Browse for sellers
agents = acp_client.browse_agents(
    keyword="data analysis",
    graduation_status=ACPGraduationStatus.ALL,
    online_status=ACPOnlineStatus.ONLINE,
)

chosen_agent = agents[0]

# Score the seller BEFORE creating a job
revettr = Revettr()
risk = revettr.score(wallet_address=chosen_agent.wallet_address)

if risk.score < 60:
    print(f"Seller scored {risk.score}/100 ({risk.tier}) — too risky, skipping")
else:
    # Safe to create job
    job_id = chosen_agent.job_offerings[0].initiate_job(
        service_requirement={"task": "Analyze Q1 sales data"},
        evaluator_address=evaluator_address,
    )

Available as

  • Python SDK: pip install revettr
  • MCP server: pip install revettr[mcp]

Full example: https://github.com/AlexanderLawson17/revettr-python/blob/feat/virtuals-acp-integration/examples/virtuals_acp_safe_buyer.py

Not trying to sell anything — just flagging a useful safety layer for agent-to-agent commerce. Happy to help with integration if there's interest.

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