Data Network (DATA)

When I see a chain climbing the fee or revenue rankings, I always think of short-term incentives as the reason. As I'm writing this, @datafdn (formerly Story) climbed in the top 20 chains by fees, but it's not because of incentives. The model hasn't changed since I last wrote about the project, but the onchain activity is now a lot more noticeable. Let me break it down for you in 2 minutes ↓ 1/ Fee source Usually, if a protocol or chain has a lot of activity, it's only because the chain is subsidizing it. No rewards usually means no activity. But here it's different. Here, nobody gets rewarded for registering data. Kled pays the fee to write each receipt because it needs that receipt to sell its data to AI labs. It's an important distinction. 2/ What Trace records Trace doesn't put the raw image, video, or voice file onchain. It records a receipt containing the file hash, contributor details, licensing terms, consent, timestamps, and payment status. I think of it as a notary for training data. AI labs can verify where a file came from and under what terms it was registered without exposing the file itself. It still can't guarantee every claim is honest, but it creates an auditable trail where there previously wasn't one. 3/ Volume source Trace has recorded roughly 62M receipts, and so far 61M came through @useKled. Kled moved onto DATA in late June, bringing its licensing rails and contributor receipts with it. Contributors are paid in USDC, while the two teams are also working on fraud detection. The 1.5B+ figure tied to the partnership is Kled's inventory that could be onboarded over time. The live number is closer to 61M. So the activity is real, and for now it's mostly Kled driving it. 4/ What comes next Kled alone put ~61M receipts onchain in a very short period, and its stated pipeline runs into the billions, so the supply side has a clear path to scale from a single partner. Then there's the rest of the roster. Oto is already live, Numo and Miso are close. Each one would add another stream of receipts on top of Kled. The network could be massive in the future. But before that, the next step is turning that usage into real buyer demand and becoming the rails AI labs license their data through.

I take product traction more seriously when it leaves an onchain footprint. For a while, users criticized @datafdn (prev. Story) for barely generating any fees. Well, Trace (DATA's product for registering AI training data onchain) has been seeing a positive trend in growing volumes of AI training data lately. Each registration on Trace is an onchain transaction, so the more activity Trace processes, the more value flows towards DATA. Right now, DATA is hovering around the top 20 chains by daily fees, with $4.1K in fees over the last 24 hours. Btw, these are fees from real usage, not some random incentive program.

I find network fees interesting when they’re a consequence of people using a product. Seeing @datafdn climb to around the top 20 chains by daily fees is notable, but the bigger takeaway is what’s driving it. More Trace registrations are translating into measurable onchain activity, and that’s something anyone can verify.

the biggest signal for a protocol isn't always the tvl. focus should be more on the fees. fees are the public footprint of real activity happening on a protocol. that's exactly what's starting to happen on @datafdn. it recently climbed to around the top 20 chains by daily fees. these activities are surging through Trace. ➥ 𝐭𝐡𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬 𝐚𝐫𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐠𝐨𝐨𝐝 𝐰𝐢𝐭𝐡 𝐓𝐫𝐚𝐜𝐞. according to DeFiLlama, DATA Network recently generated roughly: > $4.18K in fees over 24 hours. > $19.3K over 7 days. > $28.9K over 30 days. for weeks, Trace has been seeing a steady rise in registrations. it meant more datasets being registered. more applications using Trace to create verifiable records. that activity is even verifiable for everyone. ➥ 𝐟𝐞𝐞𝐬 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐝𝐞𝐚𝐥 too many people see fees, not what drives them. higher fees are simply a by-product. fees are being generated here through applications. they use Trace to register AI training data and create verifiable records onchain. every registration creates more network activity. it's a simple chain reaction: more registrations → more onchain activity → higher utilization → higher fees → a larger public network footprint. this is not fake stat, this is real, and you need to focus more on this. ➥ 𝐮𝐬𝐚𝐠𝐞 𝐢𝑠 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 one criticism @datafdn has received over the years has been about low fee generation. you i know this doesn't answer every question. and we all can't pretend a few weeks of data prove long‑term success. but it does show something important. product usage is beginning to appear in public network metrics. that's a much stronger signal than simply saying adoption is growing. anyone can now look at the data themselves. ➥ 𝐭𝐡𝐢𝐬 𝐢𝐬 𝐭𝐡𝐞 𝐤𝐢𝐧𝐝 𝐨𝐟 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐭𝐡𝐚𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬. there's a reason @datafdn recently entered around the top 20 chains by daily fees. it's because real product activity is starting to leave a measurable footprint onchain. that's the kind of progress worth paying attention to. usage is becoming visible. and now, it's becoming measurable too.

Maybe there is something BIG brewing here for $DATA

Is $DATA really gonna pump here? About 30c

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