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Authorize Earth

Free plan available

Prevent fraud with customizable risk thresholds and automatic order verification.

Customizable risk thresholds
Automatic order verification
Address matching
Payment validation
Fraud detection rules
Action mapping
Built-in analysis tool

About Authorize Earth

Launched Jun 05, 2025

Categories

Built by Authorize Earth

Address

177 Wilshire Dr, #830, Troy, MI, 48084, US

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Introduction Video

Description

Block fraudulent orders with logical detection rules while letting legitimate customers checkout.

Authorize Earth prevents fraud by analyzing each order against customizable risk thresholds. When suspicious activity is detected, the app applies verification rules like address matching and payment validation. Based on verification rule results, orders are automatically approved, declined, or held for review . The system protects legitimate customers from unnecessary friction while blocking fraudulent transactions.

Authorize Earth prevents fraud by analyzing each order against customizable risk thresholds. When suspicious activity is detected, the app applies verification rules like address matching and payment validation. Based on verification rule results, orders are automatically approved, declined, or held for review . The system protects legitimate customers from unnecessary friction while blocking fraudulent transactions. more
  • Thresholds detect risky order patterns automatically
  • Fraud rules define what to validate based on the threshold instance triggered
  • Action mapping allows you to define steps to take based on verification results
  • Visualize the customer journey before going live with our built in analysis tool

Pros

  • Customizable risk thresholds allow businesses to tailor fraud detection to their specific needs.
  • Automatic order verification rules like address matching and payment validation enhance security.
  • Reduces friction for legitimate customers by only intervening on suspicious transactions.
  • Action mapping provides clarity and flexibility in handling different verification results.
  • Built-in analysis tool helps businesses visualize the customer journey before implementation.

Cons

  • The setup and customization process might be complex for non-technical users.
  • Overly strict thresholds could potentially flag legitimate orders as fraudulent, affecting customer experience.
  • Continuous monitoring and adjustment of thresholds may be required for optimal performance.
  • Dependency on app's rule accuracy; false positives or negatives could still occur.
  • Lack of customer support or guidance might cause difficulties in the initial setup phase for some users.

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