Codatta (XNY)

$0.005924  +3.84%  24H

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  • EMK TA_Analyst Trader A
     5.61K  @emkfinans

    #XNY 0.0048$ persistence scenario worked exactly as planned. The levels we provided were priced by the market in a millimetric fashion. Reading a chart is knowledge, taking a position with that knowledge is a matter of discipline. May it be fruitful https://t.co/7XH94gvfkp

     15  0  347
    Original >
    Trend of XNY after release
     Bullish
    XNY successfully held at $0.0048, expected to rise to $0.0060.
  • 𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Most people still think of data work as a one-time paycheck. You label. You submit. You get paid. End of story. But if AI models generate billions in value from that data, shouldn’t the people who created and verified it have some kind of ongoing claim? @codatta_io https://t.co/bCQbuQswaM

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That’s the experiment @codatta_io is exploring with fractional ownership and royalties. Not just “task rewards.” Ownership. Here’s the shift in plain terms: When a verified data asset is minted, it’s split into fractions. Those fractions represent economic rights.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Contributors get the largest share. Validators get a portion tied to verification depth. Backers (the ones underwriting quality with stake) receive a cut. The protocol treasury takes a small default share to sustain infra. Instead of paying everyone once, you create a cap...

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    ...table for data. Now the interesting part: When buyers pay to access or use the dataset, revenue flows into a royalty pool (in stablecoins), then gets distributed pro rata to fraction holders. Continuous accrual Monthly settlement Stablecoin payouts That last part matters.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Stablecoin distribution separates earnings from token volatility. $XNY is used for settlement mechanics, listing, bundling but payouts are in something more predictable. That’s a design choice that signals seriousness. Then there’s liquidity. Fractions can be: – transferred

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    – bundled into diversified portfolios – listed on secondary markets Which means data assets could behave more like yield-bearing instruments than one-off gigs. But here’s the real question. Does this create sustainable value, or just financialize everything?

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    If: High-quality datasets consistently attract paying buyers, and royalties reflect real demand, then you’ve built an income-generating knowledge layer. If not, you’ve just tokenized hope. The reason this matters beyond Codatta: We’re entering an era where AI models will be...

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    ...trained on increasingly specialized data. Domain experts, medical, legal, financial, technical, might not want flat fees. They might want equity-like exposure to the value they help create. This model experiments with that. It’s early. It’s not finalized. And liquidity...

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    ...for data ownership is still speculative. But the idea that knowledge itself can be minted, split, yield-bearing, and tradable? That’s bigger than one protocol. It’s the beginning of data behaving like capital. And capital changes how people participate.

     1  1  5
    Original >
    Trend of XNY after release
     Bullish
    Codatta explores a new model for tokenizing data assets, using fractional ownership and stablecoin royalties to turn data into tradable capital.
  • 𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Everyone says “AI is the future.” Very few people ask: Who actually gets paid when models get better? Right now, it’s mostly: – Big labs – Cloud providers – Infrastructure companies But the raw material, data usually comes from people who don’t share in long-term upside. https://t.co/wHP6UcJ9cR

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That’s the angle I find interesting with @codatta_io Not just “label data, get paid.” But: Turn datasets into ownable, revenue-sharing assets. Here’s how I think about the model in real terms. AI companies need structured, high-quality datasets. They pay for access.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That revenue doesn’t just go to a central company. It flows to three roles: • Contributors — do the work • Validators — protect quality • Backers — stake on quality and underwrite trust The underrated piece is the Backer role.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Most people in Web3 don’t have time to grind tasks daily. But they understand risk. Staking $XNY on a contributor or dataset is basically underwriting credibility. If they perform well, you share in the upside. If not, your capital is exposed.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That’s closer to venture logic than typical farming. The second layer is reputation as a multiplier. Not flat payouts. Not anonymous labor. Your history, accuracy, timeliness, credentials, stake behavior increases your earning power. That’s important.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Because AI doesn’t just need more data. It needs reliable data. Reputation-weighted rewards push the system toward quality over volume. The bigger idea here? Data becomes productive capital. Instead of: “Sell your time once.”

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    It becomes: “Build knowledge assets that generate ongoing yield.” If this works at scale, it changes who participates in the AI economy. Students. Domain experts. Researchers. People with niche expertise. Not just engineers inside closed labs.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    The real question isn’t whether incentives look good on paper. It’s whether buyers consistently pay for high-quality datasets. If demand stays real, the flywheel works. If not, it’s just another token loop. That’s the part I’m watching closely.

     4  1  20
    Original >
    Trend of XNY after release
     Bullish
    The tweet proposes a new Web3 AI data economy model, converting data into revenue-generating assets through staking $XNY and reputation rewards.
  • 𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Everyone says “data is the new oil.” But most people providing that data? They get paid once. Or not at all. That’s why I’ve been looking closely at how @codatta_io structures value flow. Because the real question isn’t: “Can we collect better data?” https://t.co/j1lctbCGM0

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    It’s: “Who keeps earning when that data gets reused?” The dual-token structure is interesting for a reason. $XNY isn’t positioned as hype fuel. It’s operational fuel. – You pay it to anchor contributions. – You stake it to signal confidence. – Clients use it to activate tasks.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That creates skin in the game. But the part most people miss is the stablecoin layer. Usage-based licensing. Automatic royalty splits. Revenue flowing back to: • Data Owners • Task Developers • Treasury Not just “contributors get rewards.”

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    But contributors participate in downstream value. That’s closer to how IP should work. In most AI pipelines today, once your data is scraped or labeled, you’re done. Here, the design suggests: If your intelligence keeps generating utility, you keep participating in the yield.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    That’s a different alignment model. It also quietly bridges two worlds: Crypto-native mechanics ($XNY as protocol fuel) Real-world expectations (stablecoin payouts, predictable value) That hybrid approach feels more sustainable than pure token speculation.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    The bigger implication? If human intelligence becomes programmable, royalty systems become infrastructure Not perks Curious to see how this scales once real client demand kicks in Because business models not narratives decide what survives long term https://t.co/qwUnpZUNpP

     2  1  18
    Original >
    Trend of XNY after release
     Bullish
    Codatta.io builds a sustainable data royalty system using XNY and stablecoins, providing ongoing earnings for data owners and developers.
  • Chill Trader TA_Analyst Trader C
     7.47K  @Chill_trader99

    This is why we should avoid trading shitcoins. https://t.co/zyuwLEc16q

    Chill Trader TA_Analyst Trader C
     7.47K  @Chill_trader99

    $XNY Keep an eye on this chart! https://t.co/yI6Q5J4q4h

     5  3  472
    Original >
    Trend of XNY after release
     Extremely Bearish
    The tweet warns about the risks of trading altcoins, citing the forced liquidation of XNY as an example.
  • Chill Trader TA_Analyst Trader C
     7.47K  @Chill_trader99

    $XNY Keep an eye on this chart! https://t.co/yI6Q5J4q4h

     2  0  797
    Original >
    Trend of XNY after release
     Bullish
    The tweet warns about the risks of trading altcoins, citing the forced liquidation of XNY as an example.
  • swarmik Trader TA_Analyst B
     3.34K  @swarmister

    No kidding, they are almost perfect for scalping, with incredible volumes At any moment, it can soar by 20-30% or fall by 20-30% https://t.co/aUgsItPPZm

    swarmik Trader TA_Analyst B
     3.34K  @swarmister

    If you want to see hypervolatility, then I believe these assets are ideal for you. They are all perfect for casinos, but don't even think about crying there, only scalping. $XNY $ONDO $TAKE $RIVER $POWER $PIPPIN https://t.co/KAOV8wGfka

     7  1  523
    Original >
    Trend of XNY after release
     Neutral
    These assets have extremely high volatility, suitable for short-term trading, but the risk is as huge as a casino.
  • swarmik Trader TA_Analyst B
     3.34K  @swarmister

    If you want to see hypervolatility, then I believe these assets are ideal for you. They are all perfect for casinos, but don't even think about crying there, only scalping. $XNY $ONDO $TAKE $RIVER $POWER $PIPPIN https://t.co/KAOV8wGfka

     2  0  818
    Original >
    Trend of XNY after release
     Neutral
    These assets have extremely high volatility, suitable for short-term trading, but the risk is as huge as a casino.
  • 𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Cross-chain. Secured. Scalable. @codatta_io + @chainlink CCIP = next-level infrastructure for AI data and $XNY This isn’t hype; it’s real, battle-tested interoperability powering the next phase of Web3 intelligence. https://t.co/IS8WKsw6lY

     19  0  312
    Original >
    Trend of XNY after release
     Bullish
    XNY, leveraging Chainlink CCIP for cross-chain, is expected to see an increase.
  • 𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    People love to shout “$XNY to the moon” but I’m more interested in why a token should matter long-term. With @codatta_io, $XNY isn’t just there to trade. It’s tied to something real: paying for datasets, rewarding people who actually do the work, and giving contributors a... https://t.co/s9Lei4SkMQ

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    ...say in how the system evolves. That matters more than most people realize. If data is becoming the backbone of AI, then the people who create and verify that data need real ownership not just “points” and promises.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    What caught my attention is how Codatta is trying to close that loop: you contribute → you get rewarded → you participate in governance → you benefit when the network grows.

    𝑺𝒂𝒗𝒐𝒚 🎮✌️ Researcher Security_Expert B
     5.64K  @Savoyonx

    Plus, partnerships like Alibaba Cloud and BNB Greenfield tell me they’re thinking seriously about scale, not just vibes. Still early. Still risky. But this is closer to “infrastructure with incentives” than “just another token.” And that difference is everything.

     0  1  1
    Original >
    Trend of XNY after release
     Extremely Bullish
    XNY, as a data infrastructure token, possesses real utility and collaborations with Alibaba Cloud and BNB Greenfield, and its long‑term value is viewed positively.