Cryp2Nova
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Data Network

Application Specific Chain · Application Specific Chain
DATA#405Mcap $69.79M
$0.210224hLast close

Performance

Cycle lowCycle rangeAll-time high
$0.1129$14.53
All-time high$14.53−99.2% · Sep 21, 2025
Cycle low$0.1129+0.2% · Nov 6, 2026
Volatility (30D)77.8%
Volatility (1Y)103.7%
Sharpe ratio (1Y)-3.16
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At the live price.

Metrics

Market
Market cap$69.79M
Fully diluted value$118.12M
Volume (24h)$15.82M
Circulating supply361.07M DATA
Max supply1.03B DATA
Mcap / FDV59.1%
Dominance0.002%
Turnover (24h)18.96%
Rank#405
Sector rank#48 · Smart Contract Platform
Trading
Exchanges14
Trading sinceFeb 8, 2025

Derivatives

Open interest$67.43M
Funding (OI-weighted)-0.0099%
Funding (volume-weighted)-0.0229%
Futures volume (24h)$138.48M
Futures trades (24h)1,103,878

Liquidity

Buy depth (−2%)$615.5K
Sell depth (+2%)$280.6K
Spot pairs counted28
Order-book depth within 2% of the price, summed across spot pairs.

Classification

SectorNetworks
Sub-sectorApplication Specific Chain · Layer-1

Across Cryp2Nova

Chain TVL$81.1K

Social activity

Accounts mentioning it
24h0
7 days1
30 days25
Share of voice0.11%
Share-of-voice rank#436

Links

WebsiteWebsite

Top markets

Supply

34.9% in circulationmax 1,034,593,871
Circulating supply361,069,526 DATA
Total supply1,034,593,871 DATA
Remaining to issue673,524,345 DATA
Unlocked55.2%

Latest news

Key facts

LaunchedFeb 13, 2025
CategoryNetworks
SectorSmart Contract Platform
TagsApplication Specific ChainLayer-1

Data Network in numbers

Data Network (DATA) ranks #405 by market capitalization, at $69.79M. It belongs to the Networks sector (Application Specific Chain). It has traded since Feb 8, 2025, with $15.82M of volume in the last 24 hours. Its all-time high of $14.53 was reached on Sep 21, 2025; the current price is 99.2% below that peak. Its cycle low of $0.112919 came on Nov 5, 2026.

361.07M DATA are in circulation. 55.2% of the token allocation has been unlocked. 31 investors are recorded as backers, including Polychain Capital, Alliance, Andreessen Horowitz. 4 team members are listed.

About Data Network

DATA Network is developing infrastructure for sourcing, verifying, and monetizing data used to train artificial intelligence models. Formerly known as Story, the network has shifted its focus from broad intellectual property infrastructure toward AI training data, providing rails for establishing data provenance, licensing rights, contributor attribution, and auditability. Through products such as Trace, DATA Network creates tamper-resistant records of where data originated and how it can be used, helping connect data contributors with developers and AI companies seeking rights-cleared, high-quality datasets.

Background

Data Network (formerly Story Protocol) was founded in 2022 by Seung Yoon Lee, Jason Levy, and Jason Zhao to develop open infrastructure for registering, licensing, and monetizing intellectual property.

February 2025

In February 2025, Story Protocol launched its mainnet and $IP token, following $140 million in funding, including an $80 million Series B led by Andreessen Horowitz (a16z).

April 2025

In April 2025, the Story Protocol team launched the IP Portal Beta, providing an interface for users to register and manage IP on the network.

July 2025

In July 2025, Story introduced its Chapter 2 strategy, expanding its focus toward AI-native infrastructure and real-world data for AI training.

August 2025

In August 2025, Story Protocol Co-founder Jason Zhao stepped down from his role as CPO. Andrea Muttoni succeeded him, while Sandeep Chinchali was appointed Chief AI Officer.

September 2025

In September 2025, Story Protocol activated its v1.3.2 Hard Fork, introducing upgrades to the network.

June 2026

In June 2026, Story rebranded around its growing focus on AI data infrastructure. Story Foundation became the DATA Foundation, Story Network became DATA Network, and the $IP token was renamed $DATA. The rebrand narrowed the network's focus from general-purpose programmable IP toward infrastructure for sourcing, verifying, licensing, and processing human data used to train AI models.

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