Provenance traction

Status: coming soon

Getting started

vSelf platform provides instruments to facilitate community growth and engagement. It allows rewarding users for activities by analyzing their profiles. We provide two types of achievements: based on a single collection of rewards and based on the full history of interactions. These mechanics allows us to develop the reputation system on the vSelf platform and build high-quality and detailed profiles owned by users. These profiles will become users' assets in the ethical data market.

Achievements based on a single collection

This type of achievement can be specified by the owner as a part of the collection settings. The owner can provide achievement badges and set up the activity config - the rule to accomplish achievement. This rule defines a condition using a sub-set of the reward collection and some integer value, which represents the number of received rewards from the given sub-set.

This structure of activity config allows the owner to set up various incentives within her collection. Consider some examples of the most common achievements. The activity config for the "Collect all rewards" achievement is {true, ...., true} & n(a total number of rewards in the collection). The activity config for the "Claim any reward" achievement is {true, ..., true} & 1. The activity config the "Claim the last reward from this collection" achievement is {false, ..., false, true} & 1. This way, users with activities satisfied the activity config will receive NFT achievement automatically.

Achievements based on the full user history

This type of achievement is based on metadata of the received rewards. The NFT collection constructor contains a special field for each NFT reward: hashtags. These hashtags represent the reward categories and allow vSelf to track user interests & preferences. We also provide vSelf-issued achievement badges for users, depending on the number of NFTs with relevant hashtags. As a next step, we will provide complex analysis of rewards' metadata and advanced reputation system.