Google Introduces Agent Payments Protocol for AI-Driven Transactions

Sep 17, 2025
Google has launched the Agent Payments Protocol (AP2), an open system designed to facilitate AI-driven purchases across platforms, with support from over 60 merchants and financial institutions.

Google has launched the Agent Payments Protocol (AP2), an open protocol designed to enable AI agents to initiate and complete transactions on behalf of users. This new system, announced in collaboration with over 60 merchants and financial institutions, aims to provide a secure and interoperable framework for AI-driven purchases across various platforms. The full specification for AP2 is available on GitHub, as detailed in a company blog post.

AP2 is designed to support complex interactions between AI agents and retailers, allowing for real-time negotiations and transactions. The protocol requires two levels of approval: an "intent mandate" for initial search and negotiation, and a "cart mandate" for final purchase approval. This ensures a traceable and auditable transaction process, which is crucial for maintaining security and accountability.

In addition to traditional payment methods, AP2 also supports cryptocurrency transactions through an extension developed in collaboration with Coinbase, MetaMask, and the Ethereum Foundation. This extension integrates the x402 protocol, enabling AI-driven purchases from crypto wallets.

The success of AP2 will depend on its adoption by developers and other stakeholders in the payments ecosystem. However, with backing from major financial providers like Mastercard, American Express, and PayPal, the protocol is poised to make a significant impact on the future of AI-driven commerce.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.