<p style="margin:0px">To further enhance platform integrity, protect user interests, and foster a healthier trading environment, MEXC has optimized its token listing policies. Effective immediately, an AI + manual dual-layer review system will be implemented to strengthen both pre-listing screening and end-to-end risk management:</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Comprehensive Pre-Listing Review</strong></p><p style="margin:0px">Manual expert analysis has been integrated with AI-powered tools to conduct rigorous on-chain due diligence. This includes structural audits of whitepaper logic and assessments of community authenticity. Additionally, in-depth evaluations of project marketing practices, team backgrounds, and underlying risk factors are conducted.</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Post-Listing Monitoring</strong></p><p style="margin:0px">Monitoring of trading behavior and price movements has been enhanced. By combining AI-driven anomaly detection with manual oversight, suspicious activities or emerging risks after listing can be more effectively identified and addressed.</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Risk Management and Response</strong></p><p style="margin:0px">Listing and compliance teams will operate in closer coordination throughout a project's entire lifecycle. This approach ensures timely issue detection, swift corrective actions, and effective post-incident handling to better protect user interests.</p><p style="margin:0px"><br /></p><p style="margin:0px">These measures are designed to mitigate the presence of high-risk projects and provide a more secure trading experience. Maintaining higher listing standards is essential to the long-term health of both the platform and the broader crypto ecosystem. MEXC remains committed to transparency, continuous improvement, and user protection.</p><p style="margin:0px"><br /></p><p style="margin:0px">Thank you for your continued trust and support.</p>
<p style="margin:0px">To further enhance platform integrity, protect user interests, and foster a healthier trading environment, MEXC has optimized its token listing policies. Effective immediately, an AI + manual dual-layer review system will be implemented to strengthen both pre-listing screening and end-to-end risk management:</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Comprehensive Pre-Listing Review</strong></p><p style="margin:0px">Manual expert analysis has been integrated with AI-powered tools to conduct rigorous on-chain due diligence. This includes structural audits of whitepaper logic and assessments of community authenticity. Additionally, in-depth evaluations of project marketing practices, team backgrounds, and underlying risk factors are conducted.</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Post-Listing Monitoring</strong></p><p style="margin:0px">Monitoring of trading behavior and price movements has been enhanced. By combining AI-driven anomaly detection with manual oversight, suspicious activities or emerging risks after listing can be more effectively identified and addressed.</p><p style="margin:0px"><br /></p><p style="margin:0px"><strong style="font-weight:bolder">Risk Management and Response</strong></p><p style="margin:0px">Listing and compliance teams will operate in closer coordination throughout a project's entire lifecycle. This approach ensures timely issue detection, swift corrective actions, and effective post-incident handling to better protect user interests.</p><p style="margin:0px"><br /></p><p style="margin:0px">These measures are designed to mitigate the presence of high-risk projects and provide a more secure trading experience. Maintaining higher listing standards is essential to the long-term health of both the platform and the broader crypto ecosystem. MEXC remains committed to transparency, continuous improvement, and user protection.</p><p style="margin:0px"><br /></p><p style="margin:0px">Thank you for your continued trust and support.</p>
