Data Network (DATA)
- 62社交熱度指數(SSI)- (24h)
- #62市場預警排名(MPR)0
- 124小時社交提及量- (24h)
- 100%24小時KOL看好比例1位活躍KOL
- 概要BitMart will launch DATA/USDT perpetual contracts, price slipped slightly by 0.58%, social heat remained flat.
- 看漲訊號
- BitMart launches perpetual contracts
- New trading pairs increase liquidity
- Platform endorsement boosts confidence
- 看跌訊號
- Price down slightly over 24h
- Social heat unchanged
- Interaction count only 8
社交熱度指數(SSI)
- 總體資料62SSI
- 社交熱度趨勢(7D)價格(7D)情緒分佈看漲 (100%)社交熱度洞察DATA social heat index is medium (62.5/100) and flat, activity is high (35/40) and positive sentiment (27.5/30) is boosted by BitMart perpetual launch, but lacks KOL attention.
市場預警排名(MPR)
- 預警解讀DATA warning rank #62, social anomaly high (79.42/100) and sentiment polarization moderate (50/100), related to attention shift caused by BitMart perpetual launch but no response from KOLs.
相關推文
BitMart Futures Exchange_Rep Educator D78.06K @BitMart_FuturesBitMart Will Launch DATAUSDT Perpetual Futures! Read more: https://t.co/Wa9wn8zfUo https://t.co/8ThFCk2cdi
5 3 1.03K 閱讀原文 >釋出後DATA走勢看漲BitMart will list DATAUSDT perpetual contract trading, adding a trading option for the token.
Our Crypto Talk Media OnChain_Analyst C79.68K @ourcryptotalkNo one likes Ethereum under $2k But these Altcoins in 2026 are even worse to hold. $DATA ↓ 83% $APT ↓ 67% $OP ↓ 63% $ZK ↓ 62% $VET ↓ 61% $XTZ ↓ 57% $DOT ↓ 55% $ADA ↓ 54% $AVAX ↓ 52% $SUI ↓ 51% Are you still holding any of these? 👇 https://t.co/SWkR9Cny34
69 10 7.17K 閱讀原文 >釋出後DATA走勢極度看跌The tweet predicts that many altcoins will plunge sharply in 2026 and advises not to hold them.
DeFi Warhol DeFi_Expert OnChain_Analyst B51.28K @Defi_WarholDeFi Warhol DeFi_Expert OnChain_Analyst B51.28K @Defi_WarholThere'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
60 20 4.48K 閱讀原文 >釋出後DATA走勢看漲DATA Foundation's on-chain AI data registrations are soaring, achieving unique growth by licensing data to AI companies.- DeFi Warhol DeFi_Expert OnChain_Analyst B51.28K @Defi_Warhol
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
60 20 4.48K 閱讀原文 >釋出後DATA走勢極度看漲DATA Foundation's on-chain AI data registrations are soaring, achieving unique growth by licensing data to AI companies. 
Eli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defiEli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defiICYMI, Story rebrands to @datafdn, shifting focus from IP tokenization to consented AI training data (IP → DATA). Why the pivot? In short, The original Story Protocol struggled with broad IP adoption because traditional IP owners resisted open programmability. ❶ IP PMF miss Major rights holders preferred closed licensing; long-tail creators couldn’t bootstrap liquidity. ❷ Chicken-and-egg + switching costs Needed both IP supply and buyers; builders stayed on existing chains; IP tooling made integration painful. ❸ AI-era urgency Demand moved to provenance-verified training data, making broad IP tokenization less pressing. ❹ Token incentives High valuations + low usage raised sell-pressure fears; unlock delays and “revenue isn’t the metric” signaled weak traction. ❺ Execution/perception Big promises, leadership changes, and low revenue/TVL made the narrative feel ahead of the product. The rebrand to The $DATA Foundation is not just a name change, it is a deliberate consolidation around a full-stack data
42 19 3.29K 閱讀原文 >釋出後DATA走勢看漲Story Protocol rebrands as the DATA Foundation, focusing on AI training data to address market pain points.- Eli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defiEli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defi
ICYMI, Story rebrands to @datafdn, shifting focus from IP tokenization to consented AI training data (IP → DATA). Why the pivot? In short, The original Story Protocol struggled with broad IP adoption because traditional IP owners resisted open programmability. ❶ IP PMF miss Major rights holders preferred closed licensing; long-tail creators couldn’t bootstrap liquidity. ❷ Chicken-and-egg + switching costs Needed both IP supply and buyers; builders stayed on existing chains; IP tooling made integration painful. ❸ AI-era urgency Demand moved to provenance-verified training data, making broad IP tokenization less pressing. ❹ Token incentives High valuations + low usage raised sell-pressure fears; unlock delays and “revenue isn’t the metric” signaled weak traction. ❺ Execution/perception Big promises, leadership changes, and low revenue/TVL made the narrative feel ahead of the product. The rebrand to The $DATA Foundation is not just a name change, it is a deliberate consolidation around a full-stack data
42 19 3.29K 閱讀原文 >釋出後DATA走勢看漲Story rebrands as the DATA Foundation, focusing on AI training data to address market pain points. - Eli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defiEli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defi
ICYMI, Story rebrands to @datafdn, shifting focus from IP tokenization to consented AI training data (IP → DATA). Why the pivot? In short, The original Story Protocol struggled with broad IP adoption because traditional IP owners resisted open programmability. ❶ IP PMF miss Major rights holders preferred closed licensing; long-tail creators couldn’t bootstrap liquidity. ❷ Chicken-and-egg + switching costs Needed both IP supply and buyers; builders stayed on existing chains; IP tooling made integration painful. ❸ AI-era urgency Demand moved to provenance-verified training data, making broad IP tokenization less pressing. ❹ Token incentives High valuations + low usage raised sell-pressure fears; unlock delays and “revenue isn’t the metric” signaled weak traction. ❺ Execution/perception Big promises, leadership changes, and low revenue/TVL made the narrative feel ahead of the product. The rebrand to The $DATA Foundation is not just a name change, it is a deliberate consolidation around a full-stack data
42 19 3.29K 閱讀原文 >釋出後DATA走勢看漲Story Protocol rebrands as the DATA Foundation, focusing on AI training data to address pain points. 
Powerpei🦅 Dev Quant S33.32K @PWenzhen76938Do many people still remember the IP (Story) project? It has been renamed. Story Protocol is officially renamed to The DATA Foundation (@datafdn) $IP is renamed to $DATA, and Story Network upgraded to DATA Network I have been building this project for several months. Let me share my view. Its goal is clear: to become the trust layer for all AI training data, and it has already tracked over 1 billion data records. I think this pivot is correct. Previously, the IP licensing framework addressed copyright ownership, but the real bottleneck for AI is not there. Whether data can be traced, whether licensing relationships are clear, and whether quality can be verified—these three issues are the true bottlenecks of the data supply chain. Expanding from the IP framework to a more complete data infrastructure provides verifiable narratives and gives the existing tech stack a more direct foothold. // However, I have several questions that I haven’t figured out yet. When decentralization pursues scale, how can it truly establish "trust"? These two aspects inherently have tension. Can the long‑term incentive design for data contributors, and the balance between privacy protection and data openness, form a sustainable closed loop? It is still unclear. Also, integration with data markets like Kled needs to see whether it can truly avoid the old path of centralized platforms. // The narrative layer is nicely executed. But the data layer determines AI’s ceiling; this race ultimately hinges on real adoption, ecosystem density, and delivering actual value to AI developers. This step is worth continuous tracking, but it’s not time to draw a definitive conclusion yet. The above content is for reference only and does not constitute investment advice. DYOR
Story D569.16K @StoryProtocolToday, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation. https://t.co/u54K9kD1n5
57 43 19.16K 閱讀原文 >釋出後DATA走勢看漲DATA is dedicated to building a trusted layer for AI data; the outlook looks positive but remains to be observed.- Eli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defi
ICYMI, Story rebrands to @datafdn, shifting focus from IP tokenization to consented AI training data (IP → DATA). Why the pivot? In short, The original Story Protocol struggled with broad IP adoption because traditional IP owners resisted open programmability. ❶ IP PMF miss Major rights holders preferred closed licensing; long-tail creators couldn’t bootstrap liquidity. ❷ Chicken-and-egg + switching costs Needed both IP supply and buyers; builders stayed on existing chains; IP tooling made integration painful. ❸ AI-era urgency Demand moved to provenance-verified training data, making broad IP tokenization less pressing. ❹ Token incentives High valuations + low usage raised sell-pressure fears; unlock delays and “revenue isn’t the metric” signaled weak traction. ❺ Execution/perception Big promises, leadership changes, and low revenue/TVL made the narrative feel ahead of the product. The rebrand to The $DATA Foundation is not just a name change, it is a deliberate consolidation around a full-stack data
Eli5DeFi DeFi_Expert OnChain_Analyst C46.25K @Eli5defiCheckout the official announcement here ⤵
42 19 3.29K 閱讀原文 >釋出後DATA走勢看漲Story Protocol rebrands as the DATA Foundation, focusing on AI training data to address market pain points. 
Lecter Community_Lead Influencer B27.62K @Lecter_XFinance. Story protocol renamed to Data foundation > $IP is now $DATA > Clearly this transformation is not about price or anything, but it clearly shows what the project's next focus is. > And what is the main upcoming goal of the project's development? > Can you guess what the name is?
Lecter Community_Lead Influencer B27.62K @Lecter_XFinanceLink here: https://t.co/srtNF8m93h
30 15 3.40K 閱讀原文 >釋出後DATA走勢中性Story Protocol renamed to Data Foundation, token IP changed to DATA, clarifying the project's development direction.