パフォーマンス
RD 人気指数
RD 成長指数
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 1.08% | 1.79% | 10.82% | 25.82% | 20.76% | 12.18% |
比較
トップホルダー
| ポジションの住所 | トークン | ポジション数 | 割合 | 価値 |
|---|---|---|---|---|
| multichain (9648) |   MLT | 83,900,682.84 | 41.95% | $82.46K |
| 0x9b3d...7ae6 | MLT | 21,765,549.65 | 10.88% | $21.39K |
| 0x74d2...a146 | MLT | 10,005,654.34 | 5% | $9.83K |
オープンマーケット
| # | 取引所 | 取引ペア | 価格 | +2% 深さ | -2%の深さ | 取引高（24時間） | 取引量% |
|---|---|---|---|---|---|---|---|
| 1 | MLT/WETH | $0.02426 | $5,891 | $5,873 | $21,914 | 118689.60% |
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キャラクター
MILCについて
MILC stands for Media Industry Licensing Content, and the project currently centres on Web3 consulting and technical services. Listed service areas include blockchain strategy and consulting, smart contract design and business process automation, asset tokenization, and metaverse and community building, along with an events and webinars section.
The project positions itself as a Web3 partner for businesses, helping them develop decentralized strategies, integrate blockchain capabilities into existing systems and explore new digital business models. It provides detailed entries for each service area, a consulting contact point and background material.
On May 8, 2026, MILC hosted an X Space from its official account with 11 projects including TIGA Coin, DataVLT, CreatorX, Beatcoin and Bazaars to discuss ecosystem collaboration. Its homepage has shifted from a media licensing marketplace to Web3 consulting and tokenization services, listing four business lines: on-chain strategy, smart contract automation, industrial asset tokenization and metaverse community building. The original content licensing marketplace, film crowdfunding and MILC Metaverse are still listed on the project page, but public updates are limited.
MILC's Future strategy and roadmap: the official roadmap focuses on the metaverse and Web3 consulting business, planning to advance a VR client, a cloud-hosted client and AI Avatar testing with Super Protocol, while continuing to expand use cases for MLT.