App Introduction
FraudStar provides an additional layer of protection by integrating your store with minFraud. Designed to identify fraudulent activities, FraudStar scans and scores transactions made through your Shopify store. It automatically assigns a score to every transaction. Checking the risk score helps quickly identify potential risk levels, telling you whether an order is high, medium, or low risk. FraudStar also provides details on the types of risks that trigger the score associated with an order. Each transaction is evaluated based on data points.
Core Functionality
- Powerful AI-driven fraud prevention to detect threats.
- Easily identify potential risks with risk scoring and relevant alerts.
- Quickly recognize false positives.
Merchant-Friendly
- Cross-border E-commerce Merchants
- High-value Merchants
- High-volume Order Merchants
- E-commerce Operation Agents
Basic Information
- Developer:OPMC
- Address:Suite 3, Level 1, 35 Buckingham St, Surry Hills, Sydney, NSW, 2010, AU
- Price: Free / Free plan
- Rating:1 / 5
- Comment Count:1 comment
- Release Date:2022-5-27
- Supported languages:English
- Compatible products:Shopify
Application Screenshot
Price Plan
PLAN 1
$7.50
- 750 Monthly Orders Fraud Check
PLAN 2
$27.50
- 1750 monthly orders undergo fraud checks
PLAN 3
$89.95
- Fraud checks for 5,500 monthly orders
PLAN 4
$224.95
- 27,500 monthly orders undergo fraud checks
User Location & Comments
User Location
Comments
Shopify API Used
- POST /admin/api/fraud_analysis.json
- GET /admin/api/fraud_analysis/orders.json
- PUT /admin/api/fraud_analysis/settings.json
Permission:read_fraud_analysis,write_fraud_analysis,manage_orders
- GET /admin/api/orders/{order_id}/risk.json
- POST /admin/api/risk_analysis/report.json
- PUT /admin/api/orders/{order_id}/risk_score.json
Permission:read_orders,read_risk_analysis,manage_risk_settings
- GET /admin/api/fraud_analysis/false_positives.json
- POST /admin/api/fraud_analysis/verify.json
- PUT /admin/api/fraud_analysis/resolve.json
Permission:read_fraud_analysis,write_fraud_analysis,manage_orders