AI agents are acting autonomously with no audit trail. XYO built the accountability layer — Markus Levin, Co-Founder

AI agents are already making financial decisions, coordinating logistics, and acting autonomously on behalf of users — but there is no reliable record of what they did, why they did it, or whether the data they acted on was real. DATA PROVENANCE is the missing accountability layer, and XYO has been building it since before the industry knew it needed it. Markus Levin, Co-Founder of XYO, joins Ashton Addison on Blockchain Interviews for his second appearance on the show. Markus breaks down what 90 days of real adoption looks like since Data Lakes launched at xyo.network/data-lakes, how the XYO AI SDK lets developers add cryptographic proof to agent decisions in days not months, and why the "proof of work for robots" vision — where machines prove they did what they said they did before they get paid — is closer to shipping than most of the industry realizes. From why XYO Layer One is the first blockchain built specifically for data and not financial transactions, to how machine-to-machine payments only work when the data underneath them is verifiable, to what real AI agent adoption looks like in logistics, DePIN, and autonomous systems — this is the accountability infrastructure conversation the AI industry can no longer avoid.
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