Contributing Datasets
Learn how to become a data provider on Lomen Hub.
Lomen Hub thrives on the contributions of a diverse community of data providers. If you have valuable blockchain data or the expertise to create AI-ready datasets, the Hub offers a platform to share and potentially monetize your work.
Who Can Contribute?
We welcome contributions from:
- Developers: Building custom data pipelines or curating specific datasets.
- Data Scientists/Analysts: Labeling data, creating derived metrics, or preparing datasets for AI training.
- Node Operators: Providing reliable access to raw or processed blockchain data streams.
- Researchers: Sharing specialized datasets derived from on-chain analysis.
What Can Be Contributed?
Providers can contribute various forms of data through the Lomen Hub marketplace:
- Curated Datasets: Static or periodically updated datasets tailored for specific use cases (e.g., historical DeFi performance, labeled transaction sets).
- Real-Time Data Streams: Live feeds of blockchain events, prices, or other metrics.
- Processed & Indexed Data: Raw data that has been structured, indexed, and optimized for querying.
The Decentralized Data Marketplace
Lomen Hub’s marketplace facilitates the connection between data providers and consumers:
- Visibility: Showcase your datasets to AI developers and agent builders actively seeking blockchain data.
- Demand Signals: Understand what types of data are in demand within the ecosystem.
- Reputation Building: Establish credibility through a transparent reputation system based on data quality, timeliness, and user feedback. Cryptographic signatures ensure traceability.
Incentives and Monetization
Lomen Hub is designed to reward high-quality contributions. Data providers are incentivized based on factors such as:
- Data Quality and Reliability: Maintaining accurate and up-to-date datasets.
- Dataset Demand: The usage and popularity of the contributed data within the marketplace.
- Community Feedback: Positive ratings and reviews from data consumers.
This system aims to create a sustainable ecosystem where valuable data contributions are recognized and rewarded, fostering a rich and diverse data landscape.