Users bet on the prediction market and receive winnings from other users.

SX is a non-custodial, community-owned sports betting and political prediction market. It is built on SX Network, an EVM-compatible Polygon Edge application blockchain. SX was founded by Andrew Young, Julian Wilson, Jake Hannah, and launched in 2019.

SX tokenholders own and govern the protocol. They currently take all of the total betting fees paid by users (revenue). SX's investors include CMCC Global, Nascent, Sybil Capital, etc.

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Prediction markets

# SX Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for SX Network measures the number of unique users who initiated transactions on the SX blockchain each day. This metric is calculated using pre-aggregated data from an external scraper service that monitors SX Network activity. The calculation focuses on transaction senders as the definition of "active users" and provides multiple dimensional views of the same underlying DAU data.

## 2. Data sources

- **SX Network scraper data**: Pre-aggregated daily active user counts collected from an external metrics scraper service that monitors SX blockchain activity
- **SX blockchain transactions**: The underlying transaction data processed by the scraper to identify unique daily transaction senders
- **External API service**: Third-party data collection service that provides structured metrics data for SX Network

## 3. Step-by-step calculation

### Component A: Raw DAU extraction
- **Purpose**: Fetch pre-calculated daily active user counts from the external scraper service
- **Logic**: The calculation starts with data from an external scraper that has already processed SX blockchain transactions to count unique daily active users. The scraper identifies users as transaction senders and provides daily aggregated counts. Each record includes a timestamp for the day, the chain identifier set to 'sx', and the user type classified as 'Transaction sender'. The raw user count is converted to a high-precision numeric format to ensure accuracy.
- **Key fields**: `timestamp` (daily grain), `chain` (always 'sx'), `user_type` (always 'Transaction sender'), `users` (daily active user count)

### Component B: Multi-dimensional breakdowns
- **Purpose**: Create multiple analytical views of the same DAU data for different reporting dimensions
- **Logic**: The raw DAU data is restructured into three separate dimensional views. The project-level breakdown sets the dimension type to 'project_dbt_tag' with null values for chain and user type fields. The chain-level breakdown sets the dimension to 'chain' and populates the chain identifier while nullifying other dimension fields. The user type breakdown sets the dimension to 'user_type' and populates the user type field while nullifying chain and product identifiers. This structure allows the same DAU count to be analyzed across different categorical dimensions.
- **Key fields**: `dimensions` (dimension type), `chain_id` (chain identifier when applicable), `user_type` (user classification when applicable), `user_dau` (the DAU count for each dimensional view)

### Component C: Data combination and standardization
- **Purpose**: Combine all dimensional breakdowns into a unified dataset with consistent schema
- **Logic**: All three dimensional breakdowns are combined using union operations to create a single dataset containing multiple views of the same DAU data. Each row represents the same underlying DAU count but categorized under different analytical dimensions. The data maintains daily timestamp granularity throughout the process.
- **Key fields**: `timestamp`, `timestamp_grain` (always 'day'), `dimensions`, `user_dau`

### Final aggregation
- **Combining components**: All dimensional breakdowns are united into a single table where each day's DAU count appears three times with different dimensional categorizations
- **Schema finalization**: A standardization macro is applied to ensure consistent column naming, data types, and metadata fields across the final output
- **Time series completion**: Missing days in the time series are filled with zero values to ensure complete daily coverage
- **Date filtering**: Results are limited to data through January 18, 2024, due to the external API service becoming unavailable after this date
- **Final calculation**: The final metric represents the daily count of unique transaction senders on SX Network, presented in multiple dimensional views for analytical flexibility

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Unique revenue-generating users over a fixed 24-hour window.

SXSX

Archived

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown