Explore our latest research on agentic AI, the ACP protocol, and the future of AI-powered commerce.
12 articles found
We are entering a commerce cycle where autonomous agents negotiate most transactions. The winning enterprises will be those with governance layers that turn agent speed into controlled outcomes.
Google's Universal Commerce Protocol establishes an open standard for AI-driven shopping, enabling seamless interactions between autonomous agents, retailers, and payment providers.
Vector search enables merchants to prepare their agent-ready catalogs with SoTA LLM embeddings and surface better results through autonomous AI agents.
ML-powered product recommendations are now available on the Agentic Commerce platform, enabling businesses to deliver personalized shopping experiences through AI agents.
Exploring how multiple AI agents can coordinate effectively to complete complex commercial transactions, inspired by principles of self-organization found in nature.
Today in private beta agent-first payment tokens—enabling AI agents to make autonomous purchases on behalf of users with built-in safety controls and spending limits.
How our platform handles agent authorization, spending limits, and transaction approval workflows to ensure user safety and control.
In collaboration with Stripe and OpenAI, we're introducing the Agent Commerce Protocol (ACP) - an open standard for enabling secure commerce between AI agents.
Introducing our developer API platform that enables developers to build applications powered by agentic AI capabilities for commerce and payments.
Announcing our comprehensive safety framework for AI agents that handle financial transactions, including spending limits, human oversight, and transaction verification.
Today we're announcing Agentic Pay, a revolutionary payment infrastructure that enables AI agents to conduct secure financial transactions on behalf of users.
Introducing the HAC architecture—a distributed system that enables multiple AI agents to coordinate, share resources, and execute complex tasks together.
