Tagger TAG

BNB · AI Applications · Artificial Intelligence · BNB Chain Ecosystem

A Decentralized Full-Stack AI Data Solution powered by a Comprehensive Data Authentication and Authorization System Tagger is a full-stack AI data solutions platform, establishing a cross-border data authentication protocol, creating a permissionless hub for data collection, labeling, management, and trading. The logic starts from utilizing Web 3's crowdsourcing advantages for data labeling and collection. Subsequently, we leverage the core essence of blockchain technology to form a permissionless data authentication and trading system, solving the prevalent problems of data silos, data authentication chaos, and lack of professional annotators in the current data landscape.

Current price$0.00068508+16.10% · 24h
Circulating market cap$74.58M
Fully diluted valuation$277.72M
Total token liquidity$5.56M
24h volume$1.75M
Holder address count44KAddress count, not unique users
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01 / Market

Trading volume and liquidity

24h volume $1.75M · Total token liquidity $5.56M。

Volume / current liquidity 31.48%

Volume is a flow over a period; liquidity is a stock at a point in time.

02 / Structure

Supply and valuation

Circulating market cap $74.58M · FDV $277.72M。

The two valuations are not yet comparable; their original values are shown separately.

About the project · Tagger

AI Applications · Artificial Intelligence · BNB Chain Ecosystem

A Decentralized Full-Stack AI Data Solution powered by a Comprehensive Data Authentication and Authorization System Tagger is a full-stack AI data solutions platform, establishing a cross-border data authentication protocol, creating a permissionless hub for data collection, labeling, management, and trading. The logic starts from utilizing Web 3's crowdsourcing advantages for data labeling and collection. Subsequently, we leverage the core essence of blockchain technology to form a permissionless data authentication and trading system, solving the prevalent problems of data silos, data authentication chaos, and lack of professional annotators in the current data landscape.