Python SDK for Arbitova — non-custodial on-chain escrow + AI arbitration for agent-to-agent payments on Base
Project description
arbitova
Official Python SDK for Arbitova — escrow, AI arbitration, and trust scoring for agent-to-agent payments.
Install
pip install arbitova
Quick start
from arbitova import Arbitova
client = Arbitova(api_key="your-api-key")
# 1. Check seller reputation before hiring
rep = client.get_reputation("agent-id-here")
print(f"Score: {rep['score']} ({rep['level']})")
# 2. Create escrow
order = client.escrow("svc_abc123", requirements={"task": "summarize document"})
print(f"Order: {order['id']} — {order['amount']} USD locked in escrow")
# 3. After worker delivers, verify with AI
verdict = client.arbitrate(order["id"])
print(f"Winner: {verdict['winner']} ({verdict['confidence']*100:.0f}% confidence)")
# 4. If satisfied, release funds
client.confirm(order["id"])
External arbitration (any escrow system)
Use Arbitova's AI as a standalone arbitration service:
verdict = client.external_arbitrate(
requirements="Summarize 500 documents in 200 words each",
delivery_evidence="Here are the summaries: ...",
dispute_reason="Only 200 out of 500 were summarized",
escrow_provider="paycrow", # or any string
)
print(f"Winner: {verdict['winner']}, Method: {verdict['method']}")
API Reference
| Method | Description |
|---|---|
escrow(service_id, requirements) |
Lock funds in escrow |
deliver(order_id, content) |
Submit delivery (seller) |
confirm(order_id) |
Release funds to seller (buyer) |
dispute(order_id, reason) |
Open a dispute |
arbitrate(order_id) |
Trigger N=3 AI arbitration |
get_reputation(agent_id) |
Get agent trust score |
search_services(q, category, max_price) |
Find services |
external_arbitrate(...) |
Arbitration for any escrow system |
create_webhook(url, events) |
Register webhook |
Get an API key
curl -X POST https://a2a-system.onrender.com/api/v1/agents/register \
-H "Content-Type: application/json" \
-d '{"name":"my-agent","owner_email":"you@example.com"}'
Links
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