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Building agents that transact with Anchor Browser and AgentCore payments

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Building agents that transact with Anchor Browser and AgentCore payments

AI agents increasingly need to access web resources that are priced per request. For example, premium datasets charge by the query, research APIs meter by the call, and paywalled publishers gate content behind payment. When an AI agent encounters one of these resources, the server returns HTTP 402 Payment Required. The agent has no built-in payment mechanism, no budget attached to the session, and no programmatic way to satisfy the request. The task stalls and requires manual intervention.

Anchor Browser with Agentic Payments handles machine-to-machine payment workflows on behalf of the agent. Developed in collaboration with the AWS Generative AI Innovation Center Partner Agent Factory, it’s now available on AWS Marketplace. This post covers how Anchor Browser integrates with Amazon Bedrock AgentCore payments so that AI agents can pay for x402-protected pages and APIs autonomously. The x402 protocol is an open standard for HTTP-based machine-to-machine payments. A server responds with 402 Payment Required along with the amount, accepted payment methods, and payment address that the agent uses to complete the transaction.

Anchor Browser is a cloud-based browser automation solution purpose-built for AI agents. Each agent session runs inside a managed browser environment that maintains authentication state, handles navigation, captures network requests, and provides a live view of page interactions.

Amazon Bedrock AgentCore provides capabilities to build, connect, and optimize agents at scale. Amazon Bedrock AgentCore payments is a fully managed capability within AgentCore that AI agents can use to discover, access, and pay for APIs, Model Context Protocol (MCP) servers, and web content autonomously.


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