Antom, a merchant payment and digitisation services provider under Ant International, today announced the launch of an agentic payment solution, featuring a first-of-its-kind secure APM checkout solution. Antom is also among the first partners of Mastercard and Visa to pilot card-based transaction capabilities for AI agents. Antom’s agentic payment solution is expected to meet this need with broad payment method coverage, offering convenient checkout through APMs and cards. It features an AI-ready payment mandate model and enhanced payment asset management to ensure precise recognition of user intent while safeguarding transaction security and providing increased transparency for users. Building upon the Model Context Protocol (MCP), this agentic payment solution supports embedded payment flows through dialogue-based interactions with AI agents, covering both confirmed purchase requests and conditional, pre-authorized transactions, such as purchases within a predefined spending limit or scheduled flash sales. The Antom agentic payment solution is now open-sourced on GitHub. Antom can connect AI agents to diverse APMs, including a wide range of digital wallets. With Antom EasySafePay, the industry’s first streamlined checkout solution for APMs, the payment process is faster and simpler. Antom EasySafePay allows users to link their digital wallets directly to the checkout page without being redirected to external apps, fitting naturally into agent-initiated payment flows. Antom EasySafePay combines convenience with robust safeguards. It leverages Multi-Party Computation (MPC)-based AI risk management and mobile device security systems to identify and block fraudulent transactions, preventing phishing, fraud, and identity misuse, reducing the risk of account takeovers for digital wallet users while protecting privacy. Antom’s structured and adaptable solution is designed to help AI agents support diverse payment methods such as cards, wallets, and bank transfers, reaching a broad customer base efficiently while reducing integration costs.