Validators process transactions and receive fees from users (supply-side fees).

Gnosis Chain is a smart contract platform for decentralized applications (a blockchain). Gnosis was founded by Martin Köppelmann and Stefan George and launched in 2015.

GNO holders own and govern the protocol. They currently take a cut of the total transaction fees paid by users (revenue). 

governance

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Blockchains (L1)

Gnosis

# Gnosis Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for Gnosis measures the number of unique addresses that initiated at least one transaction on the Gnosis blockchain within a given day. This metric answers the fundamental question of how many distinct users are actively using the Gnosis network on a daily basis. The calculation follows a standard blockchain analytics approach by counting unique transaction senders per day.

## 2. Data sources

The calculation relies on the following raw data sources:
- **Gnosis blockchain transaction records**: Complete transaction history from the Gnosis network including sender addresses, recipient addresses, and transaction metadata
- **Block timestamp data**: Gnosis block timestamps used to determine daily boundaries for aggregation
- **Transaction gas data**: Gas usage and pricing information associated with each transaction (used for transaction validation and metadata)
- **Network metadata**: Chain-specific information including network identifiers and business categorization data

## 3. Step-by-step calculation

### Component A: Transaction data processing
- **Purpose**: Processes raw Gnosis blockchain transactions and prepares them for DAU calculation
- **Logic**: Extracts all transactions from the Gnosis network, including essential fields like sender address (`from_address`), recipient address (`to_address`), block timestamp, and transaction hash. Gas-related fields are processed by converting gas prices from wei to native token units by dividing by 10^18. The system adds business metadata including market sector classification as `blockchains_l1` and business segment as `blockchain`. Each transaction is tagged with the Gnosis chain identifier and includes the wxDAI token address as a reference token.
- **Key fields**: `from_address` (transaction sender), `block_timestamp` (transaction timing), `transaction_hash` (unique identifier), `gas_used` and `effective_gas_price` (transaction cost data)

### Component B: Daily user aggregation  
- **Purpose**: Groups transactions by day and identifies unique active users
- **Logic**: Takes the processed transaction data and truncates block timestamps to daily boundaries using day-level granularity. Groups all transactions by the truncated daily timestamp and applies distinct counting to the `from_address` field to identify unique transaction senders within each day. Users are classified as `Transaction sender` type to distinguish them from other potential user categories. The system adds temporal metadata including timestamp grain as `day` and maintains chain identification as `gnosis`.
- **Key fields**: `timestamp` (daily boundary), `user_dau` (unique sender address), `user_type` (classification as transaction sender), `chain` (network identifier)

### Final aggregation
- **Combining components**: The processed transaction data flows directly into the daily aggregation component where unique addresses are counted per day
- **Time boundaries**: Daily boundaries are established by truncating block timestamps to the day level, ensuring consistent 24-hour periods
- **Incremental processing**: The calculation uses incremental processing with a configurable lookback window to efficiently update recent data while maintaining historical accuracy
- **Quality filtering**: Chain availability filtering is applied to ensure data quality and exclude potentially invalid records
- **Final calculation**: The metric represents the count of distinct `from_address` values (transaction senders) within each daily time boundary, providing a direct measure of unique daily active users on the Gnosis network

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

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

GnosisGNO

Active users (daily)

Active users (daily)

Competitive landscape