🪙 Token Distribution

$TAG is the native token and governance token of the Tagger platform, with a total supply of 405,380,800,000 tokens.

$TAG is the native currency that powers Tagger, generated in a fair manner through participants labor using the proof of work model. $TAG can be used for staking, purchasing datasets, utilizing datasets, subscribing to software services, AI model customization services, and more.

Item	Allocation（%）	Amonut
Proof-of-Human-Work	74.00449158%	300,000,000,000
Tag-to-Pump	21.06187565%	85,380,800,000
Liquidity	4.93363277%	20,000,000,000

1. Proof-of-Human-Work: Tokens are generated through the direct contribution of participants’ data processing efforts. Anyone is free to engage with TAGGER’s tasks in a permissionless manner, receiving real-time $TAG rewards for every completed assignment. The platform divides these tasks into data labeling, and Human-In-The-Loop reviews. Further details of earning $TAG can be found by consulting the “Task Reward Calcuation” section.

   TAGGER employs a combination of AI-standardized protocols and human-led review measures to audit all submitted work, ensuring a fair distribution of $TAG to diligent participants. In this way, the integrity of the data output is reliably upheld, creating a peer-driven process that is both transparent and trustless. Halving Coefficient: The halving coefficient is embedded in every reward calculation formula, acting as an adjustment factor when a halving event is triggered. A halving event occurs each time the number of tokens issued since the last halving equals the number of tokens yet to be issued. If no previous halving has taken place, the first event occurs when 50% of tokens have been issued. Thereafter, the second halving follows at 75%, and so on. This ensures a predictable, mathematically governed issuance schedule, maintaining scarcity and long-term sustainability.

1. Tag-to-Pump: 21.06187565% of $TAG tokens have been launched via four.meme in an experiment of the DeCorp model, testing the viability of a Web 3 approach to crowdsourcing data-labeling tasks. A preorder of 106,726 data labeling tasks worth $50,000 was used for this experiment. $TAG tokens were distributed to the data labelers who participated.

2. Liquidity: Initially, 4.93363277% of $TAG tokens, paired with $50,000 worth of $BNB have been deployed to PancakeSwap as liquidity.