What Is Measurable Data Token

Measurable Data Token (MDT) is a cryptocurrency that powers a decentralized data exchange platform, rewarding users for sharing anonymized data insights.

Origin and Background

Launched in 2018, MDT stems from the Measurable AI project, founded by Heatherm Huang and a team focused on big data analytics. It aims to democratize data ownership in the digital economy. The core concept revolves around creating a marketplace where individuals earn tokens by contributing data, while businesses access valuable insights without compromising privacy.

Founding Team and Ecosystem

The team includes experts in AI and blockchain. MDT's ecosystem includes apps like MailTime and Measurable AI, integrating data collection with token rewards. It builds on Ethereum for seamless interoperability.

How Does Measurable Data Token Work

Blockchain and Consensus Mechanisms

MDT operates as an ERC-20 token on the Ethereum blockchain, leveraging its proof-of-stake (PoS) consensus for efficiency. This setup ensures secure, decentralized transactions without heavy energy use like proof-of-work (PoW).

Smart Contracts and Technical Principles

Smart contracts automate data exchanges and rewards. Users generate private keys for secure wallets, while public keys facilitate transactions. Data is anonymized and tokenized, allowing buyers to purchase insights via MDT, with blockchain ensuring transparency and immutability.

How Is New Measurable Data Token Created

Issuance and Mining Mechanisms

MDT isn't mined like Bitcoin; it's pre-mined with tokens released through staking and rewards. Users earn new tokens by participating in data-sharing programs or staking existing MDT to validate network activities.

Supply Limits and Reward Models

The total supply is capped at 1 billion tokens, promoting scarcity. An inflationary model adjusts rewards based on ecosystem participation, with halvings to control emission. This encourages long-term holding and network growth.

The Use Cases of Measurable Data Token

Payments and Data Marketplace

MDT enables payments for anonymized data, letting users monetize their digital footprints in a privacy-focused way.

DeFi and Governance

In DeFi, it's used for staking and lending. Governance allows token holders to vote on platform updates. Other uses include NFTs for data assets and cross-border transfers of value from insights.

Buy, Send, or Store Measurable Data Token

Purchasing Channels

Buy MDT on exchanges like WEEX, which offers a trusted platform for trading. Register on WEEX to earn a free 20 USDT bonus and start trading easily. https://www.weex.com/how-to-buy

Wallets and Storage

Use hot wallets like MetaMask for quick access or cold wallets like Ledger for security. To send, input the recipient's address via your wallet app. Always enable two-factor authentication to protect against risks.

Pros & Cons / Risks

Advantages

- Decentralized data ownership empowers users. - High privacy with anonymized sharing. - Fast transactions on Ethereum's network.

Risks

- Price volatility due to market swings. - Regulatory uncertainties in data privacy laws. - Technical risks like smart contract vulnerabilities.

Comparison

Compared to Bitcoin, MDT focuses on data utility rather than pure value storage. Unlike Ethereum's ETH, which powers dApps broadly, MDT specializes in data economies, offering niche rewards but less liquidity.

Conclusion / Next Steps

MDT holds potential in the growing data economy, with expansions into AI integrations. Check the whitepaper or join communities for updates. Consider exploring WEEX for trading—sign up to learn more.

Market & Ecosystem

Market Cap & Trading Volume

As of 2025-09-11, market data for MDT is not available in current records, reflecting its niche status.

Exchanges Where It’s Listed

Listed on WEEX and select platforms, enabling global access.

Community Size & Activity

Active on Twitter (around 20k followers), Reddit, and Telegram groups, with discussions on data trends.

Ecosystem Growth

Partnerships with AI firms boost developer activity, driving adoption in analytics.