AI agents are changing the way the web is used.
Most infrastructure still assumes that the thing requesting your API, data, content, or service is either a human or a traditional bot.
That assumption is starting to break.
An AI agent can search a site, call an API, invoke a tool, consume proprietary data, trigger compute, and eventually make a payment — all without a human directly making each request.
That creates a new infrastructure problem:
Who is this agent?
Can I verify it?
What should it be allowed to access?
How much is it consuming?
Should that interaction be free or paid?
Those questions are why I built Wayleave.
What is Wayleave?
Wayleave is an independent control layer between AI agents and the infrastructure they interact with.
The basic model is:
Identify → Verify → Authorize → Route → Meter → Monetize
The goal isn't to replace your CDN, cloud provider, API gateway, database, payment processor, or application.
Wayleave is designed to work with the stack you already have.
Think of it as a policy and economic layer for agent traffic.
Why I think this matters
The web has spent decades building infrastructure around human users.
Authentication tells us who a user is.
Authorization determines what that user can do.
Rate limits control consumption.
Analytics measure behavior.
Billing handles economic relationships.
But autonomous agents introduce another participant into that system.
A business may want a human to read something for free while treating an automated agent consuming the same information differently.
Or it may want to allow one verified agent, rate-limit another, block suspicious automation, and charge an agent accessing a high-value API.
That shouldn't require rebuilding the entire application.
What Wayleave does
Wayleave is being built around three primary pieces:
Core
Core handles agent identity, classification, policies, permissions, and access decisions.
The important distinction is that Wayleave doesn't pretend every automated request can magically be identified.
Traffic can have different levels of trust.
When Wayleave can verify something, it can treat that differently from something that merely declares itself to be an agent or traffic that only appears automated.
For infrastructure, I think that distinction matters.
Meter
Once access is allowed, Wayleave can meter what is actually being consumed.
That creates the foundation for:
- usage limits
- analytics
- rate policies
- usage-based pricing
- paid routes
- agent-to-service commerce Instead of treating monetization as a separate system, the economic decision can follow the access decision. Build I'm also working on Wayleave Build to make it easier to create and deploy applications with Wayleave's control layer built into the workflow. The broader goal is simple: Developers should be able to build for an internet where humans and autonomous agents coexist. Why not just use Cloudflare, AWS, Stripe, or x402? I don't think Wayleave needs to replace any of them. That's actually the point. Cloudflare can provide edge infrastructure. AWS can provide compute and services. Vercel can host applications. Stripe can handle payments. MCP can expose tools. Protocols such as x402 can help enable machine payments. Wayleave's thesis is that businesses will still need an independent control plane across those systems. Payment alone doesn't answer: Who gets access? Before a transaction happens, something needs to identify the requester, establish trust, apply policy, authorize the interaction and measure consumption. That's the layer I'm building. Humans free. Agents identified. Value unlocked. One principle behind Wayleave is that this isn't about making the internet hostile to AI. I believe AI agents are going to become an important part of how software and the web work. The question is how businesses participate sustainably. If an autonomous system is repeatedly consuming expensive compute, proprietary information, API calls, tools, or other valuable resources, the business providing those resources should have visibility and control over that relationship. Sometimes the right policy will be free. Sometimes it will be limited. Sometimes blocked. And sometimes paid. The infrastructure should make that decision possible. I'm building this in public Wayleave is early. I'm a solo founder, and I'm deliberately not pretending every problem around agent identity and machine commerce has already been solved. What I can do is build, test, publish, learn, and improve quickly. I'd particularly like feedback from developers building:
- APIs consumed by agents
- MCP servers and tools
- AI applications
- proprietary data services
- developer platforms
- usage-based products
- agent infrastructure If you're already seeing meaningful agent traffic, I'm especially interested in hearing what problems it's creating for your infrastructure. The agentic web is arriving. I think it needs a control layer. That's what I'm building with Wayleave. Wayleave.dev
Top comments (1)
Separating verified agents from traffic that merely declares itself automated gives Core a more useful policy model than a single bot label. Pairing that with Meter also makes sense for expensive compute and proprietary data, where request counts alone may miss the actual cost. I'd make retries a first-class concern: if an agent times out after a paid tool call succeeds, the next attempt needs a clear rule for reusing the result and avoiding a second charge. That boundary is where access policy becomes a billing promise developers have to support.