The Problem: Existing business models don’t work for AI agents 

Today, developers are building innovative, agent-driven products using the MCP standard. While these products are improving how AI agents acquire data and information, developers lack a way to economically offer their solutions. 

For human users, seeking information on today’s internet means navigating ads that fight for your attention and subscriptions that keep you on the hook. For AI agents, users that don’t look at ads or buy subscriptions, this means scraping data that is free and available. Context gets selected simply because it attracts attention, not because it's valuable. 

MCP demands a different approach, one in which the most valuable and relevant context, information, and services can be transferred seamlessly between agents.  

The Opportunity: Pay-as-you-go internet commerce

When users can purchase specific context for discrete tasks in real-time, both buyers and sellers benefit. Agents can seek out useful information without entering subscription arrangements, and context providers can be compensated for the value of their services, rather than the value of their ads.  

AI-native applications, like MCP servers, operate differently from traditional software. Executing tasks can be computationally expensive, and builders need a way to offset these costs that scales with usage. The agent-driven internet needs a business model that closes this gap. 

The Solution: Simple paywalls for MCP Servers

Radius is working alongside MCP developers who are building the highways connecting users with agent-driven tools and services. Using HTTP response code 402 (Payment Required), Radius has developed a solution that allows MCP developers to charge users for access to their server in real-time. 

With a simple, internet-native protocol, Radius makes it easy for developers to explore new monetization models. The next generation of our internet deserves better than ads and subscriptions, it needs  a model that meets the moment.

Interested? Join our waitlist to gain early access.