The Agentic Commerce Payment Problem
AI agents are beginning to transact autonomously, but no payment processor knows how to assess their risk.
PSPs Reject Agents
Stripe, PayPal, Square have no framework to assess agent transactions. Result: blanket rejections or surprise terminations.
No Risk Standards
Zero industry consensus on what makes an agent "safe" to transact. Developers build blind with no compliance roadmap.
$Billions at Stake
Autonomous commerce will be a multi-trillion dollar market. Without payment rails, it can't scale.
How AgentGuard Works
Three ML-powered APIs that give agents the payment intelligence they need to transact safely.
Real-Time Risk Score
Submit agent profile → get 0-100 AgentScore + risk band (Excellent/Good/Fair/Poor) in under 500ms.
PSP Approval Prediction
Get real approval odds for 7 major payment processors. Trained on 70K merchant outcomes. ROC-AUC: 0.906.
Combined Oracle Endpoint
One call → Complete payment readiness report: AgentScore, all PSP odds, risk band, and recommended actions.
Production-Ready Infrastructure
⚡ Sub-500ms Latency
Google Cloud Run with warm instances. Model caching eliminates cold starts.
🔒 Enterprise Security
API key authentication via Secret Manager. All requests logged to BigQuery for audit.
📈 Auto-Scaling
1 to 10 instances automatically. Handles traffic spikes without manual intervention.
🧠 Self-Improving
Monthly retraining with real merchant outcomes. Model drift monitoring via BigQuery.
📊 BigQuery Integration
7 BQML models (one per PSP) + prediction audit logs. Full data lineage for compliance.
🔗 Simple Integration
RESTful JSON API. Python client library included. OpenAPI spec available.
Built for the Agentic Economy
Shopping Agents
Verify payment readiness before autonomous purchases. Know which PSP will approve the transaction.
AI Marketplaces
Risk-score agent sellers before allowing transactions. Prevent chargebacks with pre-screening.
Agent-to-Agent Commerce
Mutual risk assessment before transactions. Both parties verify payment compliance.
Subscription Agents
Optimize payment routing for recurring charges. Maximize approval rates across PSPs.
Logistics Agents
Real-time payment verification for autonomous shipping and fulfillment operations.
Gaming & Metaverse
Enable NPCs and in-game agents to transact safely. Real-time risk scoring for virtual economies.
Simple Integration
10 minutes from API key to first prediction
# Python Client Library (Async)
from agentguard.ml_client import AgentGuardMLClient
client = AgentGuardMLClient()
agent_profile = {
"agent_vertical": "shopping",
"control_model": "hybrid",
"avg_txn_value_usd": 120.0,
"monthly_txn_count": 450,
"uses_visa_tap": True,
"human_in_loop": True,
"kyc_level": "enhanced"
}
# Get AgentScore + PSP Odds in one call
result = await client.predict_oracle(agent_profile)
print(f"AgentScore: {result['score']}")
print(f"Risk Band: {result['risk_band']}")
print(f"Best PSP: {result['recommended_psp']}")
print(f"Approval Odds: {result['psp_odds']}")
# Output:
# AgentScore: 94.2
# Risk Band: Excellent
# Best PSP: Checkout.com
# Approval Odds: {'checkout': 0.81, 'braintree': 0.64, ...}Early Access Pricing
First 100 developers get preferential pricing + equity options
- ✓ All 3 APIs
- ✓ Python client library
- ✓ 30-day audit logs
- ✓ Email support
- ✓ Everything in Developer
- ✓ 99.9% uptime SLA
- ✓ Priority support
- ✓ Custom alerts
- ✓ White-label option
🚀 First 100 developers: 5-10% equity option available for strategic partners building in public
Build the Future of Commerce
The first developers who build with AgentGuard will define how autonomous agents transact.
Get Your API Key Now →Free tier • No credit card required • 10-minute integration