Blockchain goes live as Tempo launches AI agent payment protocol with Stripe and Paradigm
blockchain moved from testing to live use Wednesday as Tempo, a payments-focused network developed by Stripe and crypto investment firm Paradigm, launched its mainnet and unveiled a new system for AI-driven payments. The rollout puts Tempo’s stablecoin payment system into real-time operation and introduces a protocol designed to let software programs send money without a human approving every step. The push is aimed at making stablecoin transfers feel closer to everyday card or bank payments, but faster and available at all times.
Blockchain mainnet launch: stablecoin payments move into live use
Tempo’s mainnet launch brings its stablecoin payment system out of a testing phase that began in December with a public testnet. During that test period, Mastercard, UBS, Klarna, and Visa experimented with sending payments on the network, giving developers a proving ground for stablecoin activity tied to routine financial needs such as payouts and cross-border transfers.
Tempo’s network is designed to handle large volumes of transactions quickly and at low cost. The stated goal is a payments experience where sending money with stablecoins—digital tokens tied to currencies like the U. S. dollar—works with the simplicity people expect from traditional payment methods, while staying always-on.
Machine Payments Protocol targets AI agents and autonomous software payments
Alongside the mainnet, Tempo introduced the Machine Payments Protocol, a system co-developed with Stripe to enable software programs to make payments on their own. The concept is straightforward: applications or AI tools can pay for services—such as data or computing power—without requiring human approval at each step, a design meant to support automated workflows where payments need to happen continuously.
In comments on the launch, Matt Huang, cofounder of Tempo and managing partner at Paradigm, described the space as still taking shape. “Agentic payments is very early, and we still are figuring out the best way to structure these, ” Huang said. “So our team just came up with what we thought was the most elegant, minimal, efficient protocol that anyone can extend without our permission. ”
Visa contributed to the Machine Payments Protocol by developing specifications for letting agents pay with credit or debit cards. “We look at MPP as another way that you can have a very clear, defined protocol around how an agent communicates with merchants, ” Cuy Sheffield, Visa’s head of crypto, said.
Why Tempo is focusing on cross-border transfers, payouts, and “agentic finance”
Beyond AI-driven use cases, Tempo is also targeting familiar pain points in payments: cross-border money movement and paying large groups of workers at once. Tempo frames these flows as areas where delays and multiple intermediaries can stretch processes out for days, and where stablecoin-based settlement could compress timelines.
The mainnet launch also arrives as large payments firms increasingly view blockchain rails and stablecoins as infrastructure for cross-border finance. In the same week as Tempo’s move to live operation, Mastercard said it will acquire stablecoin infrastructure startup BVNK for $1. 8 billion to embed digital dollars into its payment network. The broader trend line also includes Stripe’s purchases of stablecoin startup Bridge and crypto wallet firm Privy.
Quick context and what happens next
Tempo’s public testnet began in December, setting up the mainnet launch on Wednesday, and the new protocol is positioned around “agentic finance, ” where AI agents use blockchains to pay for services that require micro payments.
Next, attention will center on how quickly developers and payments partners adopt the Machine Payments Protocol in real-world workflows now that the network is live. For Tempo, the immediate test will be whether its blockchain can translate early experimentation into sustained payment activity across stablecoin transfers and AI-enabled transactions, with further implementations and integrations expected to be the next major milestones.
