Thông tin Reppo (REPPO)
| Trạng thái | Đang hoạt động |
| Website | |
| Sách trắng | |
| Block Explorer | https://basescan.org/address/0xFf8104251E7761163faC3211eF5583FB3F8583d6 |
| Mã nguồn | |
| Chat | |
| Nền tảng | |
| Ngày thêm vào danh sách | 16:49:08 25/11/2025 |
| Thẻ | Base Ecosystem |
Số liệu thống kê Reppo (REPPO)
| Giá Reppo (REPPO) hôm nay | |
|---|---|
| Giá Reppo (REPPO) | $0.01783 |
| Dao động 1 giờ | -0.14% |
| Dao động 24 giờ | -16.24% |
| Dao động 7 ngày | -46.91% |
| Giá Thấp / Cao nhất (24h) | $0.03022 / $0.03485 |
| Khối lượng giao dịch 24 giờ | $3,203,933 |
| Vốn hóa | - |
| Xếp hạng | #3789 |
| Giá Reppo (REPPO) hôm qua | |
| Giá Thấp / Cao nhất hôm qua | $0.03176 / $0.03485 |
| Giá Mở / Đóng hôm qua | $0.03190 / $0.03221 |
| Dao động giá hôm qua | 0.99% |
| Khối lượng giao dịch hôm qua | $3,871,484 |
| Nguồn cung Reppo (REPPO) | |
| Tổng REPPO đang lưu hành | |
| Tổng cung | 1,000,000,000 REPPO |
| Tổng cung tối đa | 1,000,000,000 REPPO |
| Lịch sử giá Reppo (REPPO) | |
| Giá Thấp / Cao 7 ngày | $0.02541 / $0.04395 |
| Giá Thấp / Cao 30 ngày | $0.01031 / $0.05134 |
| Giá Thấp / Cao 90 ngày | $0.001787 / $0.05134 |
| Giá Thấp / Cao 52 tuần | $0.001787 / $0.05134 |
| Giá cao nhất lịch sử 09:20:00 14/01/2026 |
$0.05134 |
| Giá thấp nhất lịch sử 00:13:00 22/11/2025 |
$0.001787 |
| ROI của Reppo (REPPO) | 979.27% |
Reppo (REPPO) is a decentralized AI training data network. It orchestrates the sourcing, validation, and monetization of data labeling and annotation through prediction markets. At its core lies the Reppo Protocol, an open incentive framework that invites enterprises, model developers, researchers, and data contributors to engage in AI training data processes without centralized control.
### What is the technology behind Reppo?
Reppo leverages a novel implementation of the Vetoken model coupled with an on-chain commit-reveal scheme that allows them to enable synthetic prediction markets on-chain. At its core, Reppo leverages blockchain technology to create a transparent and programmable system that supports the lifecycle of AI training data. This system is designed to eliminate the need for centralized intermediaries, allowing enterprises, model developers, researchers, and data contributors to collaborate seamlessly.
A unique aspect of Reppo's approach is the introduction of subnets, which are modular execution environments tailored to specific data domains or use cases. These subnets allow for customized rulesets, validation logic, task formats, and incentive structures, all while remaining compatible with the broader Reppo network. For instance, a subnet focused on medical data labeling might have different requirements and validation processes compared to one dealing with legal data annotation. This modularity enables developers and organizations to configure data pipelines that adhere to domain-specific standards without disrupting the overall ecosystem.
### What are the real-world applications of Reppo?
One of the key applications of Reppo is its ability to coordinate data labeling and annotation through prediction markets. This approach ensures that data is not only accurately labeled but also verified by a community of contributors, enhancing the reliability of AI models. By utilizing an open incentive framework, Reppo encourages participation from a diverse range of stakeholders, fostering a collaborative environment for AI development.
### Who are the founders of Reppo?
RG Rmadya and Protocol Labs Venture Studio