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Alchemy, the blockchain infrastructure company often described in the sector as a crypto equivalent of cloud back-end provider AWS, has launched AgentPay, a new tool aimed at solving a fast-emerging problem in machine commerce: AI payment systems are being built on different rails and often cannot work with one another. The company says AgentPay gives merchants and service providers a single integration layer so they can accept payments from multiple agentic payment protocols without rebuilding their existing APIs.
The timing matters because agent-based commerce is moving from experiment to product development across crypto, payments and enterprise software. Alchemy had already moved in that direction on February 26, when it said AI agents could autonomously sign up for its infrastructure, pay for services with USDC on Base, and access blockchain data across more than 100 networks without a human in the loop. That earlier rollout relied on x402, an open payment standard developed by Coinbase for native HTTP payments, and it gave a clear signal that Alchemy was positioning itself not only as a data and developer platform, but as a key piece of machine-to-machine financial plumbing.
AgentPay appears to extend that strategy from Alchemy’s own services to the wider market. According to launch material highlighted by Alchemy, the company is pitching the product as “one proxy” for multiple protocols, allowing businesses to register an API once and then accept payments from any agent regardless of the payment standard being used. That addresses a fragmentation risk already visible across the sector, where Coinbase has pushed x402, Stripe has introduced MPP, and card networks and other payments groups are also working on their own approaches to agent payments. Alchemy’s argument is straightforward: without an interoperability layer, each merchant or data provider could be forced to support several incompatible systems at once.
That problem is not theoretical. Industry commentary from AWS and other market participants shows that the payment bottleneck remains one of the clearest obstacles to wider deployment of autonomous agents in financial services and digital commerce. AWS said in March that x402 is intended to remove the point at which agents can perform tasks but stall when they need to pay for third-party data or services. Chainstack, another blockchain infrastructure provider, has also argued that without common standards, merchants may need to implement multiple protocols depending on which agents and payment methods they want to support. AgentPay is therefore less about consumer-facing crypto branding and more about reducing operational complexity for businesses trying to prepare for machine-driven transactions.
Alchemy’s move also reflects a broader change in how crypto infrastructure companies are trying to grow. For much of the past cycle, firms like Alchemy built their businesses on developer tools, node services and access to blockchain data. The company’s February release showed how those same assets could be repackaged for agents, with wallet-based identity, automatic top-ups, HTTP 402 payment responses and pay-as-you-go pricing starting from as little as $1. AgentPay takes the next step by trying to sit between merchants and the widening set of agent payment protocols, potentially giving Alchemy a role similar to middleware in traditional software markets.
Still, the opportunity comes with limits and questions. Interoperability can make adoption easier, but it can also concentrate power in a small number of gatekeepers if one middleware layer becomes the default route for agent payments. There are also unresolved questions around compliance, data governance, fraud controls and dispute handling when non-human actors transact across different payment standards. Even proponents of agentic payments frame the field as an early-stage market, and Alchemy itself has described its February AI-agent access product as a “first step” with more APIs, chains and capabilities still to come.
For now, the launch gives Alchemy a sharper position in one of the more commercially focused areas of the AI-crypto overlap. Rather than betting only on tokens or speculative use cases, the company is targeting a piece of infrastructure that could matter if AI agents begin purchasing data, software access, compute and financial services at scale. That fits with the company’s March and April product cadence, which has included machine-payments infrastructure and other enterprise-oriented releases, suggesting a deliberate push to build rails for automated economic activity rather than just developer convenience.
