Streamr (DATA)

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https://t.co/KCKGKMtpEf

There's a reason @datafdn has been seeing more activity lately.

Open Trace, their tool for auditing AI data, and you'll see the AI data being registered consistently.

Story switched to licensing data to AI companies offchain. This leaves registrations as the only current onchain signal that's still relevant.

Let's break it down ↓

1/ Where DATA's revenue comes from

DATA Foundation is easy to misread if you treat it like a regular L1.

Most people judge chains by fees, volume, and active users.

By that standard, but there are better metrics to be looking at in this case.

The chain is currently focused on getting real-world training data registered onchain so it can be licensed.

The licensing itself, where the revenue is, happens offchain. So low onchain fees aren't a problem, they're just the model working as intended.

Now that there's 1 to 5 million assets registered per day, on track to register 1 billion due to their partnership with @usekled, I think it would be wise to monitor their chain activity