What is Tagger?

(Source: TaggerAI)

Tagger is a comprehensive AI data collaboration platform featuring five core functions: data collection, cleansing, labeling, validation, and data trading. By leveraging blockchain’s immutability and decentralized architecture, Tagger establishes a global data verification protocol, enabling data owners, labelers, and buyers to interact in a framework designed for fairness and transparency.

Core Features of Tagger

1. Decentralized Data Verification
   Tagger uses blockchain, trusted computing, and cryptographic technologies to fully decentralize data storage and rights validation. Uploading data to the chain generates an NFT, granting the holder complete management rights over their data—including viewing, authorizing, and trading—entirely at their discretion.

2. Web3 Crowd-Sourced Data Collection
   Harnessing the crowd-sourcing nature of Web3, Tagger motivates users to upload data to build collaborative datasets. The platform’s built-in cleansing mechanism automatically eliminates duplicate, unauthorized, or low-quality content, ensuring compliance and reliability across the entire database.

3. AI Copilot Smart Labeling System
   Tagger introduces the AI Copilot tool, providing intelligent assistance for high-quality labeling of images, audio, text, and video. With AI support, even non-expert users can achieve professional-level labeling tasks, significantly expanding data utility.

4. Permissionless Data Marketplace
   Through the Tagger Marketplace, users can display, search, and trade datasets. Sensitive or private data can be displayed but not transferred, allowing usage without the risk of uncontrolled dissemination. Listed data can be licensed, leased, or sold, creating value for both use and ownership.

5. Proof of Human Work Incentive Model
   Tagger quantifies every contributor’s efforts, instantly rewarding them in the native $TAG token based on their work. This model fairly compensates anyone who participates in labeling, cleansing, or review, and recognizes real value contributed to the Web3 community.

Ecosystem Roles and Task Mechanisms

Within the Tagger ecosystem, there are four main roles: data workers, AI requestors, data providers, and data buyers. Users can act as labelers, data sellers, or buyers, which creates a truly open and diverse data marketplace.

(Source: tagger.gitbook)

A platform fee of 5% is charged on the total task amount for each task type, such as data collection, cleansing, or labeling. After task completion, data owners may formally receive data NFTs in accordance with the verification protocol, securing ownership or usage rights.

Tagger Tokenomics

$TAG is Tagger’s native and governance token, with a total supply of 405,380,800,000 tokens. Beyond being a compensation, $TAG can be used for purchasing data, subscribing to platform features, or customizing AI model services. In the future, holders will also participate in governance and decision-making. Token allocation falls into three main categories:

• The largest share is dedicated to Proof of Human Work—accounting for 74.00% (30 billion tokens)—specifically as incentives for Web3 data workers involved in collection, labeling, cleansing, and validation. These tokens are distributed in real time, based on work quantity and quality, ensuring fair recognition and rewards for all contributors. Tagger combines AI verification with manual review to ensure transparency and fairness.

• The Tag-to-Pump program represents approximately 21.06% (about 8.538 billion tokens), allocated to early community promotion and experimental tasks. This portion is distributed via the Four.meme platform, primarily as rewards for early contributors to data initiatives.

• Liquidity provisioning comprises 4.93% (about 2 billion tokens), which are paired with an equivalent amount of $BNB and deployed on PancakeSwap to deliver initial market liquidity and ensure healthy, stable token trading for users.

This allocation ensures Tagger’s community engagement and fairness, building a sustainable economic foundation for long-term token value.

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Summary

Tagger represents a significant advancement in AI data rights and production. It breaks down Web2’s closed data monopolies, restores ownership rights, and incentivizes participation in AI development globally. With its Proof of Human Work reward system and NFT-based data asset model, Tagger enhances the value and integrity of data.