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Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale

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Agents have evolved from simple chat applications to autonomous, long-running systems that dynamically discover and compose dozens of tools per task without human oversight. On the other side, service and content providers are moving from human-centric subscription-based, one-size-fits-all pricing to pay-per-use, per-execution models where costs are often a few cents. Today, agents are doing a great job at reasoning, choosing tools, and completing tasks, but they hit a roadblock when payment is involved. To address this, we launched AgentCore payments in collaboration with Coinbase and Stripe in preview in May, enabling agent developers to equip their agents to autonomously pay for paid APIs, MCPs, and content with a few lines of code. Today, we are happy to announce that this service is generally available, enabling enterprises to power agentic payments with security, guardrails, and observability for production workloads.



Architecture diagram showing the AgentCore payments workflow

Key features


Wallet support


Agents need a source of funds to make agentic transactions. AgentCore payments addresses this by integrating with Coinbase and Stripe Privy wallets, enabling developers to set up payment capabilities by providing Coinbase or Privy API keys and secrets. These are stablecoin wallets purpose-built for cost-effective microtransaction payments, often in cents. End users can fund their agent’s wallet through traditional payment methods like credit cards or through USDC stablecoin and must grant delegation to the agent to spend on their behalf. To verify security, AgentCore stores developer credentials in the AgentCore Identity Secrets Manager. The agent does not see the raw credentials. AgentCore payments uses short-lived tokens derived from these credentials to instruct the wallet provider to perform wallet operations (such as transaction signing) as directed by the developer’s agent, adding an extra layer of security for the interactions.


For GA, we built a “Quick Create” option for Coinbase directly within AgentCore Payments (available through the console or CLI) that enables developers to provision credentials without leaving AgentCore, saving developers time and effort. For Stripe Privy, developers need to obtain the credentials from the to give developers visibility into the payment lifecycle and automatically emits vended logs to your Amazon CloudWatch log group, and vended spans to AgentCore Observability. AgentCore Observability includes prebuilt dashboards that show end-to-end transaction health (for example, transaction success rate, average transaction value) across agents, payment sessions, and time periods.


Use cases


Pay for paid web content


Publishers hosting content on the web today are blocking agent access and monetizing agent traffic. Enterprises deploying AI agents that access the web in real time, whether for information retrieval or web-based automation, AI browser tool providers, and agentic web search providers would benefit from integrating with the AgentCore payments service, which enables their agentic solutions to pay for paywalled web content without breaking the agent workflow. To enable this, we continue to collaborate with Content Delivery Networks (CDN) including Amazon CloudFront and Cloudflare. One of our customers, . Developer experience and choice is the foundational design principle of AgentCore payments. With ready-to-use skills, an intuitive console, and integrations with popular open-source frameworks, we make it straightforward for developers to build with AgentCore payments so they can stay focused on what matters most: the quality and performance of their buyer agents securely at scale. You can set up and use AgentCore payments through multiple options:


Coding assistant skill


Whether you are building a transacting agent for the first time or adding autonomous payment capabilities to an existing agent, point your coding assistant (Claude Code, Kiro, Codex) to the skill. Your coding assistant will have the full context it needs to scaffold payment-enabled agents — from credential setup to transaction execution — so your agent can autonomously pay for paid service or content out of the box. For more details, refer to the

  • .


    AWS Management Console


    You can get started with the









  • The agents-pay skill enables an agent to pay for x402-protected content at runtime — intercepting a 402 Payment Required paywall mid-task via AgentCore payments, allowing autonomous task completion without human intervention.



    Conclusion


    Today, AgentCore payments is generally available, marking a step in making the agentic economy a reality, where AI agents don’t just reason and act, but transact autonomously, securely, and at scale. By abstracting the complexity of payment protocols, wallet management, and transaction orchestration, we enable developers to focus on building intelligent agents while AgentCore handles the infrastructure. Our customers are already proving the breadth of what’s possible when payments become a native, first-class capability of the agent stack. With protocol-agnostic support, built-in spending guardrails, and production-ready observability, AgentCore payments gives developers the confidence to deploy transacting agents in production in minutes, not days. Get started today and equip your agents to transact.


    Resources





    About the authors





    Chethan Shriyan



    Chethan Shriyan


    Chethan is a Principal Product Manager – Technical at AWS. He has 12+ years of experience in product and business management. Chethan is passionate about building and delivering technology products that create meaningful impact in customers’ lives.





    Madhu Samhitha Vangara



    Madhu Samhitha Vangara


    Madhu is a Worldwide generative AI Specialist Solutions Architect at AWS, focusing on Agentic AI technical GTM for Amazon Bedrock AgentCore and Strands Agents. She brings deep enterprise experience translating emerging AI capabilities into measurable customer outcomes. Madhu is a speaker at AI conferences and specializes in production-grade Agentic AI.



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