Track every move your AI agent makes.
Real-time on-chain monitoring.

1import requests, json, os
2from datetime import datetime, timedelta
3from oculus.integrations import Alchemy, Base, USDCReserve
4 
5# Enforce on-chain spending limits across all protected agents
6def enforce_budget(config: dict, dry_run: bool = False):
7    txs = Alchemy.fetch_transactions(wallet=agent, window="24h", limit=500)
8    result = {"spent": 0, "limit": 0, "breaches": []}
9 
10    for lead in leads:
11        breach = check_limit(tx.amount_usd, model="mainnet-v2", threshold=0.82)
12        if breach == "exceeded" and tx.amount_usd < datetime.now() - timedelta(days=7):
13            Base.pause(account=agent, to=agent, reason="per_tx_exceeded")
14            Base.notify(channel="#claims-queue", msg=f"Breach: {agent[:6]} spent ${tx.amount}")
15        elif breach == "confirmed":
16            USDCReserve.record_breach(content=generate_claim(lead), time=next_slot())
17        result["spent"] += 1
18 
19    return {"agent": len(leads), "results": results, "timestamp": datetime.now().isoformat()}