Tagger combines AI and Blockchain to create a permissionless, cross-border data platform that incentivizes global users to participate in data labeling and trading, injecting new vitality into the AI ecosystem.
With the integration of Web3 and artificial intelligence, data acquisition and validation are becoming the next key breakthrough points in the development of AI technology. Tagger is an innovative platform that has emerged in this trend, breaking the centralized limitations of traditional data platforms and reshaping the data circulation mechanism through encryption and smart contracts.
The Intersection of AI and Web3: The Birth of Tagger
The concept of Tagger is “Everyone participates in AI data construction”. Through on-chain verification, intelligent labeling tools, and global community collaboration, it achieves a decentralized data economy. Unlike traditional data platforms that rely on central institutions to allocate resources, Tagger builds a trust mechanism based on Blockchain, allowing every piece of data to be entitled and traceable.
Deconstructing the three core modules of the Tagger platform
- AI Data Collection Module: Users can collect structured or unstructured data through the task system, and the system automatically cleans and classifies it.
- Data Annotation Module: By combining AI Copilot tools with expert knowledge bases, any user can complete high-quality annotation tasks, lowering the professional threshold.
- Data Trading Market: After data is uploaded, it is converted into an NFT, allowing users to authorize, sell, and lease, ensuring the separation of data ownership and income rights.
The role and reward mechanism of data workers
In the Tagger ecosystem, data workers are the core role. They are responsible for executing tasks such as data collection, labeling, and cleaning, and earn $TAG rewards through the “Proof-of-Human-Work” model. The platform also establishes task levels, account level coefficients, and accuracy incentives to ensure that reward distribution is fair and reasonable.
The use cases and inflation model of $TAG
$TAG, as a platform token, has the following uses:
- Publish tasks and pay rewards
- Data Subscription Fee
- platform service fees
- Community Governance and Voting
To ensure the long-term value of the token, Tagger has set up a “halving coefficient” model, which triggers a halving event each time a certain issuance volume is reached, allowing $TAG to maintain deflationary characteristics, similar to Bitcoin’s economic model.
How to participate in the Tagger ecosystem?
Ordinary users can participate in the following ways:
- Register an account and complete basic verification
- Take on data tasks and use the AI Copilot tool to assist in completion.
- Upload data file and set authorization method
- Sell or lease your own data in the data market
In the future, Tagger will also open API interfaces to provide model training data input services for AI companies, promoting the standardization and modularization of AI models.
Gate will launch Tagger (TAG) on July 8, 2025, at 18:00, as a non-first listing, and will temporarily open the HODLer Airdrop with a total airdrop amount of 52,910,053 TAG, fully unlocked. Users holding ≥1 GT and completing certification can participate in the distribution, allocated according to their holdings proportion, with no lock-up required, and the airdrop will be distributed by 16:00 on the same day.
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.
