Pricing the human-agentic web.
The agent economy is already in motion, and Cloudflare deciding what data is worth paying for is a milestone in it. This is a new kind of attention to price, where the data itself is the product and freemium may not hold. Rigid pricing never held up in the industries that priced access before, and I spent fifteen years inside one of them. It will hold up even less here. That is the opportunity: to take the concepts already proven elsewhere and evolve them, with the help of agents.
f(x)IQ: notes on how the agent economy prices, rates, and pays. First issue soon. Or see Valorian live ↗
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Cloudflare can charge per request. It can't decide what to charge.
Payments
x402 and pay-per-crawl let an agent pay for a single request in one round trip. No account, no card. That part works.
The mechanism
As of this summer, Cloudflare lets you price dynamically: a Worker can set the price per request, based on who's asking and what they take. The mechanism is here.
The rating engine
But Cloudflare hands you an empty Worker: "determine the appropriate price." Deciding what a request is actually worth, per crawler, page, and moment, is still yours to build.
This summer, Cloudflare shipped dynamic pricing for pay-per-crawl: a Worker sets the price per request. Its own example is two lines that hardcode a price by URL path. That is not a rating engine. That is the empty slot where one goes. Cloudflare's docs ↗
“Everything is worth what its purchaser will pay for it.”
Publilius Syrus · Maxims, 1st century BC
The current state of data pricing
Data already has a price to AI. These are the reported annual values of the biggest known licensing deals, with roughly when each was struck. The last row is what an individual gets when their own data trains a model.
Reported figures; deal terms are usually undisclosed, and headline values are contract ceilings, not always realized revenue. Sources: Reuters, WSJ / Variety, The Information, Human Data Rights Coalition.
What I'm building
Two projects, one idea: billing meets AI from both sides. Valorian prices agents from outside the system. Meridian is an agent working inside one, a stack that has priced humans for twenty years.
Valorian sits in front of any API and prices agent traffic per request: crawler class, data zone, freshness, volume, intent. Then it settles over x402 on Base mainnet. The price calc stays deterministic and auditable; the intelligence lives in the loop around it. And an agent can ask the price first: a signed quote, good for a minute, that the 402 honors when the payment lands. It runs end to end today, with real on-chain settlement and a human approval in the loop.
x402 is an open standard for paying for a web request with a stablecoin, built on the HTTP 402 status code that has been reserved for "payment required" since the 1990s. Started by Coinbase and Cloudflare, now governed by the Linux Foundation, over 100 million payments so far. It is how AI agents buy data and tools per request, without accounts, cards or invoices.
The agent economy has a tools layer (MCP), a messaging layer (A2A) and a payment rail (x402). It does not have the layer that decides what a request is worth. That is Valorian.
Meridian is an AI agent that runs inside an Oracle BRM billing stack. It provisions subscribers, drafts pricing against the live catalog, and traces disputed charges through the rating chain. Every write stops at one approval. Running on a live BRM 15.2 lab since April 2026.
The data, live
Valorian doesn't price in the abstract. These are real prices from Viridian, my own EU farm-data API, served through the meter right now. The data itself is paid per request; this is the shop window.
f(x)IQ, thinking out loud
f(x)IQ is where I write about the agent economy in general: the developments landing now, the ones still coming, and what to make of them. I like drawing parallels to the systems we built before, from telecom to markets to the economics of how things get priced. I challenge the assumptions everyone keeps repeating, and I follow the thread I know best: how value and pricing really work once machines transact. Ideas first; the rest follows.
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