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Measurable Data Token

Measurable Data Token (MDT) — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).

Measurable Data Token (MDT) — an AI/Data | Infra project that builds an economy for exchanging “anonymous measurable data” between users, data providers and data buyers, with settlements via smart contracts. Token: MDT (ERC‑20; the website also publishes bridged/mirror contracts on other networks).

Disclaimer

Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.

TL;DR (for readers who are not into AI)

  • What it is: a “data market” and token economy so that users are rewarded for providing data, and buyers pay for access to insights/datasets.
  • Who it’s for: users (the data source), data providers (apps/services) and data buyers (business/analytics).
  • Why onchain/token: smart contracts record settlements and deal terms; MDT is used for payments and rewards.

How it works (very briefly)

  1. The user does: agrees to share anonymous data via a data provider (an app/service) and receives a reward.
  2. The system does: the data buyer pays for access; the platform constructs a smart contract with the deal terms and the reward share for users/the provider/the platform.
  3. The user gets: MDT payouts (a “deposit pool” scheme is possible for micro‑rewards until a threshold is reached).
  4. Where the blockchain is: MDT is a token on Ethereum; smart contracts are described as the enforcement and arbitration mechanism.
  5. Token role (if any): the unit of settlement for data and of rewards to users/providers.

Quick links: AI thesis fit

Project passport

Field Value
Project name Measurable Data Token
Also known as (aliases) MDT; Measurable Foundation; MyMDT; Measurable AI
Logo (logo) ../assets/141_measurable-data-token_logo.png
Token symbol (ticker) MDT
Category AI/Data | Infra
Primary chain (chain) Ethereum
Type EVM
Network status mainnet
Consensus (consensus) PoS (Ethereum)
Launch date (launch_date) 2017-10-02 (registration of the Measurable Foundation in the whitepaper)
Project status (status) active
Token (standard) ERC-20
Token contract 0x814e0908b12a99fecf5bc101bb5d0b8b5cdf7d26 (Ethereum; “Main Chain” on the token page)
Token model (token_type) utility (payments)
Max supply 1,000,000,000 MDT (total supply)
Issuance fixed total supply (1B)
Tokenomics (tokenomics, brief) per the whitepaper: sale/distribution of up to 500M out of 1B; MDT is the unit of exchange for “data value”
Governance Measurable Foundation (described in the whitepaper)
Admins/keys —
Audit —
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) Measurable AI (analytics/insights on anonymized data)
Use‑case (use_case) rewards for data + purchasing data insights
DecAI Fit — AI thesis fit 3/6 — medium alignment with the Decentralized AI thesis
DecAI Fit component summary 1 / 3 / 2 / 3
Last verified 2026-02-11

General project overview

In its Tier‑1 whitepaper, MDT describes the problem of a “one‑sided” data market: users create data but receive no economic value, while data buyers risk getting low‑quality/illegal datasets. The solution is a “decentralized, transparent data exchange economy” based on Ethereum smart contracts, where:

  • Data providers (apps/services) collect and aggregate data.
  • Data buyers pay for access to data/reports/insights.
  • Users are rewarded in MDT for contributing anonymous “data points”.

In the “Updated Ecosystem Progress” section, the whitepaper claims that the “Measurable AI” (business‑oriented data analysis platform) and “MyMDT Data Wallet dApp” (2019) applications, which use MDT, have been launched in the ecosystem.

Features/modules

  • MDT smart‑contract settlements (concept): smart contracts for payment/terms/arbitration of data deals.
  • Reward deposit pool (concept): accumulation of micro‑rewards up to a threshold in order to save on fees.
  • MDT Wallet: a wallet for receiving/storing MDT (referred to as MyMDT in the whitepaper and on the website).
  • Measurable AI (product): an analytics platform that turns anonymous data into insights (mentioned in the whitepaper as launched in 2019).

Typical scenarios

  • Scenario 1 (user): connects to a service provider → agrees to share anonymous data → receives MDT rewards (including via the deposit pool).
  • Scenario 2 (data buyer): purchases access to data/a report → pays in MDT → gets access after the smart contract is executed.
  • Scenario 3 (data provider): integrates the SDK/platform → sells reports/insights → distributes part of the value to users.

Getting started (wallet/network)

  • What you need: an EVM wallet to work with MDT; to use the ecosystem applications — their own interfaces/accounts.
  • Network/chain: the main MDT contract is on Ethereum (marked as “Main Chain” on the token page).
  • Fees: Ethereum gas for MDT transfers and contract interactions (where applicable).

Architecture/tech (non‑AI)

  • Components: MDT (ERC‑20), deal/arbitration smart contracts (described in the whitepaper as part of the platform), the wallet dApp, data provider applications.
  • Participant roles: Users, Data Providers, Data Buyers, the Measurable Platform (as the arbitrator/contract constructor in the early phase).
  • Where logic runs: settlements/enforcement of terms — onchain via smart contracts; data collection/processing — offchain at the data providers.
  • Dependencies: the Ethereum network; data provider applications; offchain storage/analytics.

Token/economics (expanded, no forecasts)

  • Token utility: the unit of payment for data/insights and the unit of user rewards.
  • Protocol necessity drivers: deals and value distribution are denominated in MDT.
  • Who pays fees: data buyers pay MDT into smart contracts and Ethereum gas; users pay gas when withdrawing/transferring MDT.
  • Where fees go: the whitepaper describes a “calculation fee” share for the platform; the remainder is distributed to users and the data provider.
  • Issuance/burn: total supply 1B (token page); a burn model is not described.
  • Security/incentive mechanisms: reward mechanics for users; arbitration in case of a dispute over data validity (described as a platform function).
  • Distribution and token issuance schedule: the whitepaper describes the TDE distribution (team 240M, advisors 110M, user growth 150M, presale 150M, TDE 350M) and a 24‑month team vesting.
  • Treasury: in the whitepaper, the governance/development role is assigned to the Measurable Foundation.

Governance

  • Who makes decisions: Measurable Foundation (described in the whitepaper as the governance body at the early stage).
  • How protocol parameters change: —.
  • Where decisions are discussed/made: —.
  • Keys/multisig: —.

Security and incidents

  • Audits: —.
  • Bug bounty: —.
  • Incidents: —.
  • Threat model: privacy (anonymization/PII), “fake/invalid data” risks, arbitration risks and the centralization of the “platform” at the early stage.

Project status and timeline

  • Current status: active (the token and the website/whitepaper are available).
  • Key releases/milestones: the whitepaper is dated April 2020; the whitepaper lists the foundation’s UEN/registration date (2017‑10‑02).
  • Roadmap: —.

Ecosystem/integrations

  • Integrations: Ethereum (main chain), bridged versions on BNB Chain/Solana/Optimism/Base/Tron and others (the token page publishes the contracts).
  • Partners: —.
  • Where it’s actually used: Tier‑1 records ecosystem applications (MailTime/Measurable AI/MyMDT) in the whitepaper and on the website.

AI component of the project

  • What is real AI here? the whitepaper mentions the Measurable AI product (an analytics platform that “turns anonymous data into sophisticated insights”), but without technical details of models/metrics.
  • What is truly onchain? MDT as an ERC‑20 token and the smart‑contract model of deals/arbitration for data exchange (described in the whitepaper).
  • Why is a token needed? payments for data and rewards to users/providers in a single unit of account.
  • Red flags (based on the information found): AI‑washing (AI is mentioned minimally, without demos/metrics), onchain‑washing (the whitepaper describes smart contracts, but without addresses of protocol contracts other than the token). Double‑check: which data exchange smart contracts are actually deployed and where their addresses/interfaces are.

DecAI Fit component summary

  • DecAI Fit: 3/6 — medium alignment with the Decentralized AI thesis
Component Level Score
AI reality low 1
Onchain necessity high 3
Token necessity medium 2
Evidence Tier‑1 present 3
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): AI is mentioned as an existing product (Measurable AI), not only as a “plan”.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the existence of a product means more than intent.
  • Conflict note (if any): —.

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): Measurable AI “turns anonymous data into … insights” (business‑oriented analytics on data).
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the function of the AI product is described, albeit without details.
  • Conflict note (if any): —.

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 0
  • Claim (one line): no public demo/cases/examples of Measurable AI in operation were found in the Tier‑1 sources of this card.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the whitepaper claims the launch but provides no demo artifacts.
  • Conflict note (if any): —.

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —.
  • Context (version/date/how measured): —.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): quality metrics are not presented in Tier‑1.
  • Conflict note (if any): —.

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 0
  • Claim (one line): there is no technical description of Measurable AI models/architecture in the Tier‑1 sources of this card.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): there is only a high‑level mention of the product.
  • Conflict note (if any): —.

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Ethereum
  • Addresses/identifiers: ERC‑20 0x814e0908b12a99fecf5bc101bb5d0b8b5cdf7d26 (Main Chain)
  • Evidence: Tier‑1 — https://mdt.io/token
  • Why sufficient / why not (one line): the token page publishes the contract and links to the explorer.
  • Conflict note (if any): —.

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 1
  • What useful logic is onchain: smart contracts are described as the mechanism for constructing deals (terms, reward share, arbitration) for data exchange.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the whitepaper describes the workflow “buyer pays to smart contract → accept/claim → arbitration → execution”.
  • Conflict note (if any): —.

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 1
  • “Replace the blockchain” test: without a blockchain, “smart contract enforcement” and the transparent settlement model, which is the core of the claimed “decentralized data exchange economy”, disappear.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the whitepaper explicitly builds the solution around onchain smart contracts for deals/arbitration.
  • Conflict note (if any): —.

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a token, MDT.
  • Evidence: Tier‑1 — https://mdt.io/token
  • Why sufficient / why not (one line): the token page publishes the ticker and total supply.
  • Conflict note (if any): —.

TK_1..TK_4 (1/0)

TK_1 — payment for the service (1/0)

  • TK_1 (decision): 1
  • Claim (one line): the data buyer pays MDT into the deal smart contract for access to the data/product.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the workflow describes the payment of “Va MDT” into the smart contract.
  • Conflict note (if any): —.

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 1
  • Claim (one line): users receive MDT rewards for providing data points; there is a “user growth pool” and a “reward deposit pool” for micro‑rewards.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): the whitepaper describes the reward mechanics and the user growth pool.
  • Conflict note (if any): —.

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): token‑based governance is not described in Tier‑1 as mandatory (there is the Foundation as the governance body).
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): governance is described via the Foundation, without token voting mechanics.
  • Conflict note (if any): —.

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): MDT is described as the unit of data valuation/exchange and the mechanism of payouts/rewards within the ecosystem.
  • Evidence: Tier‑1 — https://mdt.io/docs/whitepaper.pdf
  • Why sufficient / why not (one line): a replacement would change the “unit of data exchange” and the logic of the reward/fee model described in the whitepaper.
  • Conflict note (if any): —.

Evidence (table)

Tier Source What it proves
Tier‑1 https://mdt.io/docs/whitepaper.pdf the data exchange model (smart contracts, rewards, arbitration), the mention of Measurable AI/MyMDT, distribution/vesting (2020)
Tier‑1 https://mdt.io/token ticker/total supply, the list of contracts by network, Ethereum designated as the Main Chain

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