TAGGER

TAGGER (TAG) is a decentralized data platform built to serve the artificial intelligence industry by creating a permissionless environment for data collection, labeling, management, and trading. It targets a specific pain point in AI development: the fragmented, siloed, and poorly authenticated data pipelines that teams rely on when training machine-learning models. The platform aims to connect data contributors and consumers across borders using blockchain-based authentication and crowdsourcing mechanics drawn from Web3.

Tagger operates on the BNB Chain and uses crowdsourcing to recruit contributors who label and collect raw data, with blockchain records providing a trail of authentication and ownership for each dataset. The TAG token functions as the medium of exchange inside this system, enabling participants to trade data and compensate annotators within the protocol's permissionless marketplace. The data provided does not specify a consensus algorithm, and the block time recorded is zero, so further mechanical detail about validation is not available from what is stored here.

The data stored for TAGGER does not include a fee stream, revenue figure, or protocol earnings, so this site carries no fee-based measures such as price-to-fees or revenue yield for this asset. What the data does show is that approximately 26.85 percent of the maximum supply of 405,380,800,000 TAG tokens is currently in circulation, leaving a dilution overhang of roughly 272.37 percent of the circulating supply still to be issued. The fully diluted valuation is approximately 3.72 times the current market capitalization of about 87 million US dollars, reflecting the scale of tokens not yet in circulation. Until a fee or revenue model is documented, the economic relationship between platform usage and token value cannot be assessed from the figures on this page.