FingerprintJS Pro

FingerprintJS Pro

Security

Fraud detection API offering highly accurate browser fingerprinting

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πŸ“š Documentation & Examples

Everything you need to integrate with FingerprintJS Pro

πŸš€ Quick Start Examples

FingerprintJS Pro Javascript Examplejavascript
// FingerprintJS Pro API Example
const response = await fetch('https://dev.fingerprintjs.com/docs', {
    method: 'GET',
    headers: {
        'Content-Type': 'application/json'
    }
});

const data = await response.json();
console.log(data);

The Fraud Detection API offers a powerful solution for identifying fraudulent activities through highly accurate browser fingerprinting technology. By analyzing user environments and behavior, this API enables businesses to differentiate between legitimate users and potential threats. Implementing this API can significantly enhance security measures and reduce the risk of fraud, making it an essential tool for any organization that prioritizes the safety of its online transactions and user interactions. The comprehensive documentation available at FingerprintJS Documentation provides detailed insights and guidelines for seamless integration.

Utilizing the Fraud Detection API delivers numerous benefits, including enhanced accuracy in identifying unique browser fingerprints, real-time data analysis for immediate action against suspicious activities, and the ability to profile and track user behavior to build trust scores. Additionally, developers will appreciate its easy integration capabilities into existing applications and the extensive support and resources provided by the documentation.

  • Highly Accurate Identification: Pinpoint legitimate users with precision.
  • Real-Time Protection: React instantly to potential fraud threats as they arise.
  • Behavior Profiling: Understand user behavior patterns for smarter detection.
  • Easy Integration: Seamlessly add security features without extensive overhead.
  • Comprehensive Documentation: Gain access to resources that streamline the implementation process.

Here’s a simple JavaScript code example for calling the Fraud Detection API:

const apiKey = 'YOUR_API_KEY';
const url = 'https://api.fingerprintjs.com/v1/fraud-detection';

fetch(url, {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${apiKey}`
    },
    body: JSON.stringify({
        // Include any necessary parameters for the API call
    })
})
.then(response => response.json())
.then(data => {
    console.log('Fraud Detection Response:', data);
})
.catch(error => {
    console.error('Error:', error);
});
πŸ”’

Security Assessment

F
πŸ”’HTTPS
Enabled
SSL Grade: T
πŸ›‘οΈHeaders
65/100
HSTSXFO
πŸ•’Last Assessed
4 months ago
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πŸ“Š 30-Day Uptime History

Daily uptime tracking showing online vs offline minutes

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