Slice Analytics
User counts and scores of quality users for top DEXs, NFT exchange, and Perp DEX platforms.
This dataset utilizes Slice’s proprietary methodology for segmenting users into quality groups. Slice builds a score for each wallet based on life-time history of value, historic onchain volume, and fees paid
The dex_trader_aggregates table contains aggregated data for decentralized exchange traders, with the following columns:
| Column Name | Description |
|---|---|
| avg_score | Average score of the traders |
| blockchain | Blockchain platform used |
| id | Unique identifier for the record |
| last_modified | Timestamp of the last modification |
| project | Name of the project |
| user_count | Total number of users |
| users_over_50 | Number of users over 50 score user quality |
| users_over_60 | Number of users over 60 score user quality |
| users_over_70 | Number of users over 70 score user quality |
| users_over_80 | Number of users over 80 score user quality |
| users_over_90 | Number of users over 90 score user quality |
| users_over_95 | Number of users over 95 score user quality |
The nft_trader_aggregates table provides aggregated data for NFT traders, with the following columns:
| Column Name | Description |
|---|---|
| avg_score | Average score of the traders |
| blockchain | Blockchain platform used |
| id | Unique identifier for the record |
| last_modified | Timestamp of the last modification |
| project | Name of the project |
| user_count | Total number of users |
| users_over_50 | Number of users over 50 score user quality |
| users_over_60 | Number of users over 60 score user quality |
| users_over_70 | Number of users over 70 score user quality |
| users_over_80 | Number of users over 80 score user quality |
| users_over_90 | Number of users over 90 score user quality |
| users_over_95 | Number of users over 95 score user quality |
The perps_trader_aggregates table contains aggregated data for perpetual contract traders, with the following columns:
| Column Name | Description |
|---|---|
| avg_score | Average score of the traders |
| blockchain | Blockchain platform used |
| id | Unique identifier for the record |
| last_modified | Timestamp of the last modification |
| project | Name of the project |
| user_count | Total number of users |
| users_over_50 | Number of users over 50 score user quality |
| users_over_60 | Number of users over 60 score user quality |
| users_over_70 | Number of users over 70 score user quality |
| users_over_80 | Number of users over 80 score user quality |
| users_over_90 | Number of users over 90 score user quality |
| users_over_95 | Number of users over 95 score user quality |
This dataset is ideal for analyzing quality users. DAU (daily active users) is an incomplete metric that is easily botted - this dataset provides more nuance and can allow researchers to understand the quality of the composing users.