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Blockchains (L2)

Soneium

# Soneium Active users (daily) Methodology

## 1. Overview

The Soneium daily active users (DAU) metric measures the number of unique addresses that initiated at least one transaction on the Soneium network on any given day. This metric provides insight into user engagement and network activity levels on the Soneium layer 2 blockchain. The calculation uses a simple approach: count distinct transaction senders per calendar day, where any address that sends at least one transaction is considered an active user for that day.

## 2. Data sources

The DAU calculation relies on the following raw data sources:

- **Soneium blockchain transaction records**: Complete transaction data from the Soneium network including transaction hashes, block timestamps, and sender addresses
- **Transaction metadata**: Block-level information including precise timestamps for daily aggregation boundaries

## 3. Step-by-step calculation

### Component A: User identification and classification
- **Purpose**: Identify all unique user addresses that initiated transactions and classify them with metadata
- **Logic**: Extract all transaction records from the Soneium blockchain, focusing on the sender address (`from_address`) of each transaction. Each sender address is classified as a "Transaction sender" user type and assigned static metadata including chain identifier as "soneium", market sector as "blockchains_l2", and business segment as "blockchain". The `product_id` field is set to null for this metric. Safe casting is applied to ensure data type consistency for `block_timestamp`, `transaction_hash`, and `user_address` fields.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for unique transaction identification, `user_address` for the transaction sender, `user_type` set to "Transaction sender", and classification metadata

### Component B: Daily aggregation and deduplication
- **Purpose**: Group transactions by calendar day and count distinct active users per day
- **Logic**: Truncate the `block_timestamp` to day granularity using timestamp truncation to establish clear daily boundaries. Group all user activity by these daily timestamps and apply distinct counting to the `user_address` field to eliminate duplicate users who made multiple transactions on the same day. This ensures each user is counted only once per day regardless of their transaction frequency.
- **Key fields**: `timestamp` truncated to day granularity, `timestamp_grain` set to "day", `user_dau` containing the distinct user address

### Final aggregation
- **Combining components**: The final metric combines user identification with daily aggregation by selecting distinct user addresses grouped by truncated daily timestamps
- **Time aggregation**: Daily boundaries are established using timestamp truncation to day granularity, ensuring consistent 24-hour periods regardless of timezone
- **Incremental processing**: For efficiency, the calculation includes incremental logic that processes only data from recent days based on a configurable lookback period, avoiding full historical recalculation
- **Final calculation**: The daily active user count is the distinct count of `user_address` values for each calendar day, where each unique address that initiated at least one transaction is counted once per day
- **Data quality**: Chain availability filtering is applied to ensure data consistency and quality across the Soneium network

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

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

Soneium

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown