Proxy Evaluation Process

The evaluation and rating of IP addresses are central to IP.BOT’s operation, ensuring users access high-quality proxies. Here's how Tensor AI contributes to this process:

• Data Collection: Tensor AI begins by collecting data on various attributes of the IP addresses, such as speed, latency, uptime, and geographical location.

• Analysis: The AI then analyzes this data, using machine learning algorithms to evaluate the performance and reliability of each proxy. This includes checking for any security risks associated with the IP addresses.

• Rating: Based on the analysis, each IP address is assigned a rating. This rating reflects the overall quality and suitability of the proxy for different use cases, such as browsing, streaming, or gaming.

• Continuous Learning: Tensor AI continuously learns from user feedback and changes in network performance, adjusting its evaluation criteria and algorithms to ensure the ratings remain accurate and up-to-date.