Skip to content


Numbers Protocol secures digital media provenance through a decentralized ecosystem and web3 technologies

Provenance is key to the success of monetization of digital media because it helps to establish trust and credibility in the online space, without which it can be difficult to determine the reliability of the information or the value of digital assets. In a decentralized, user-owned and controlled internet, individuals and organizations need to be able to verify the authenticity of the information and assets they encounter.

Numbers Protocol secures digital media provenance through a decentralized ecosystem and blockchain technology, akin to a version control system like Git. Numbers tracks changes made to digital assets, allowing for collaboration and management. The Numbers Mainnet functions as a decentralized Github, storing data related to assets, such as provenance, ownership, and historical records, securely and transparently.

In addition, the assetization process defined by Numbers Protocol can be seen as an approach of building personalized AI datasets. The registered digital content and their provenance metadata can be used to train AI models that can be used for a variety of purposes. Provenance ensured by Numbers Protocol can help to provide records of where the data came from and how it should be used. This is important in building trust between individuals and organizations that collect and use personal data, especially in the Generative AI future. Our long-term vision is to establish a transparent, fair, and authentic digital media ecosystem that promotes accountability and ensures the safe and secure use of data and AI.

This video provides a high-level overview of Numbers Protocol and how it works.

About Numbers Protocol

Website | Community

Popular repositories

  1. nit Public

    Git of Web3 assets

    TypeScript 4.5k 1

  2. This is a channel for Numbers community to report issues or open feature requests.

    224 6

  3. pyc2pa Public

    Python implementation of C2PA: Coalition for Content Provenance and Authenticity.

    Python 25 4

  4. A photo-sharing app with only verifiable photos and videos.

    TypeScript 23 11

  5. Parse Facebook archive JSON files to tables.

    Python 19 2

  6. A photo-sharing app with only verifiable photos and videos for professionals.

    Kotlin 17 8


Showing 10 of 60 repositories


This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages


Most used topics