- Project TypeBlockchain
- AlgorithmNone specified
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply314,159,265
- Primary SectorGaming & VR
- JurisdictionNone specified
|Q4 2017||Matryx Platform Alpha|
Upload and download parametric assets
|Q1 2018||Marketplace Alpha Testnet|
Working MVP for public use. Expand focus to research and model a variety of attribution solutions.
|Q2 2018||Marketplace Beta Testnet|
Centralized tests of implemented systems. Create reputation board, identifying users and their contributions.
|Q3 2018||Marketplace Beta Mainnet|
Expand user base to tens of thousands. Cultivate economy of practical/ less academic bounties.
|Q2 2019||Marketplace Public Launch|
Begin to integrate alt-chain decentralized storage solutions and narrow down attribution + reputation systems.
|Q4 2020||Decentralized Reputation & Storage|
Continue steps towards a fully decentralized platform and refine token economics for mass adoption.
Questions and Answers
Where to Buy and Trade Matryx TokenThese are the crypto exchanges where you can buy, sell and trade Matryx Token, ordered by exchange popularity. You should try the ones on the top first, but also look out for the "Recommended" badge as those are reliable exchanges that we have partnered with and are comfortable recommending them to our users.
1. Live token offeringsNo live token offerings
2. Upcoming token offeringsNo upcoming token offerings
3. Past token offerings
|MATRYX Pre-Sale and Token Sale||06 Sep 2017||15 Nov 2017|
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Detailed due diligence exclusive to subscribers
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low <- this project