Gate News: On March 19, the blockchain project Tempo, supported by Stripe and Paradigm, officially launched its mainnet and simultaneously introduced the “Machine Payment Protocol (MPP)” for AI agents, providing infrastructure support for autonomous AI transactions. The project aims to establish a stablecoin payment network and build an on-chain fund flow system suitable for the AI era.
Tempo stated that as AI agent capabilities continue to improve, these programs can independently handle code writing, data retrieval, and service coordination. However, “payment ability” remains a key shortcoming. To address this, its MPP protocol allows AI agents to automatically make continuous payments within preset limits—for example, purchasing computing resources or calling data APIs—and settle collectively after the task is completed, improving transaction efficiency and reducing on-chain congestion risks.
Initially designed around stablecoins, the blockchain emphasizes high throughput and low-latency payment scenarios. This feature upgrade signifies that its application scope is expanding from simple payments to an AI automation economy system, becoming an important exploration path for the integration of “AI agents + blockchain payments.”
On the industry level, the integration of AI and blockchain technology is accelerating. Previously, Tomasz Stańczak promoted the introduction of AI into Ethereum’s governance and development processes, while projects like Near and Render continue to strengthen AI narratives, aiming to capture new technological cycle opportunities. The deployment of Tempo is seen as a significant step in advancing AI applications from the “tool layer” to the “economic layer.”
In terms of ecosystem development, Tempo has attracted several industry experts in technology and product development, including Dankrad Feist, Liam Horne, and Mallesh Pai. It has also established partnerships with multiple tech and financial institutions, including AI companies and payment network participants, indicating that its commercialization pathway is gradually expanding.
Analysts believe that if AI agents can achieve stable and controllable automatic payments on-chain, it could bring a new growth model to the digital economy. However, in the short term, this model still needs to be tested in terms of security, regulatory compliance, and practical demand validation.
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