Federated Models Need Measurement

A follow on blog to my Intent data post yesterday. Where intent is needed for authorization, measurement is needed by every “specialist” participating in an agentic interaction. As background I was founder/CEO of Commerce Signals, focused on measurement and card transaction data. Measurement is a powerful business. In fact, I would say Google started out as a measurement company with the PageRank algorithm. By keeping track of what users clicked on which link for which search word, they created the directory of the internet. Let’s dig a little deeper into why measurement is key in agentic, and for all federated models.

Google is not building a monolithic “central brain” to disintermediate the ecosystem. Instead, as discussed in my UCP Blog (also see Ask Macy’s Case Study), they are fostering a world of specialist collaborative models that interact across three specific technical layers:

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Commercial Models for AI Agents

Short Blog.. but core to a new series that will attempt to address this strategic question

I find it hard to believe that anyone could keep up with the daily technical updates in AI, the pace of innovation is truly astounding. Given the completion of my recent agentic commerce survey, I thought I’d provide a few of my thoughts on the uncertainties surrounding the economics associated with AI agentic architectures.  While the technology is fascinating, the market operation of AI and Agents is nascent. How is value measured? How will it be monetized?  Who has the pricing power?  How will this impact existing markets, systems and participants? My perspective here is based upon my experience in networked businesses, but even more so in measurement (as CEO/Founder of Commerce Signals).

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