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). 

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Gnosis

# Gnosis Median transaction fee Methodology

## 1. Overview

The Gnosis median transaction fee metric measures the middle value of transaction fees paid on the Gnosis blockchain on a daily basis. This metric provides insight into the typical cost users pay for transactions, helping analyze network usage patterns and fee market dynamics. The calculation aggregates individual transaction fees, finds the daily median, and converts the result to USD for standardized reporting.

## 2. Data sources

- **Gnosis blockchain transaction records**: Raw transaction data including gas usage, gas prices, and execution details from the Gnosis blockchain
- **End-of-day token price feeds**: Price data for wxDAI (wrapped xDAI) token used for USD conversion
- **Token metadata**: Decimal precision and formatting information for proper currency representation

## 3. Step-by-step calculation

### Component A: Transaction data extraction
- **Purpose**: Standardizes raw Gnosis transaction data and calculates gas pricing information
- **Logic**: Extracts transaction records from Gnosis blockchain including block timestamps, transaction hashes, gas usage metrics, and pricing data. Normalizes gas prices by dividing effective gas prices and blob gas prices by 10^18 to convert from wei units to standard ether units. Includes both regular gas usage and blob gas usage (EIP-4844) to capture complete transaction costs. Filters for distinct transactions to avoid duplicates and assigns wxDAI token address as the base currency.
- **Key fields**: `block_timestamp` for time aggregation, `gas_used` for regular gas consumption, `blob_gas_used` for blob gas consumption, `effective_gas_price` for normalized gas pricing, `blob_gas_price` for blob gas pricing

### Component B: Daily median calculation
- **Purpose**: Calculates the median transaction fee for each day by aggregating individual transaction costs
- **Logic**: Computes individual transaction fees by multiplying gas used by effective gas price, then adds blob gas used multiplied by blob gas price. Handles null values by defaulting to zero using coalesce function. Groups transactions by day using timestamp truncation to daily boundaries. Calculates the median fee using approximate quantile function at the 50th percentile across all transactions within each day.
- **Key fields**: `block_timestamp` truncated to day for grouping, `fee_amount` as the calculated transaction cost, `transaction_fee_median` as the resulting daily median

### Component C: Currency conversion and finalization
- **Purpose**: Converts median fees from wxDAI to USD and applies final metric formatting
- **Logic**: Takes daily median transaction fees denominated in wxDAI and converts to USD using end-of-day price feeds. Applies decimal correction to ensure proper currency representation. Uses zero-fill strategy to populate missing days with zero values, maintaining continuous daily time series. Applies chain availability filters to ensure data quality and consistency.
- **Key fields**: `transaction_fee_median` converted to USD, `timestamp` for daily granularity, `chain_id` set to 'gnosis'

### Final aggregation
- **Combining components**: Transaction data flows from raw Gnosis records through daily median calculation to final USD-denominated metric
- **Currency conversion**: wxDAI amounts converted to USD using end-of-day price feeds with proper decimal handling
- **Time aggregation**: Daily boundaries determined by timestamp truncation, ensuring consistent 24-hour periods
- **Final calculation**: The median transaction fee represents the 50th percentile of all transaction fees within each day, providing a robust measure of typical transaction costs that is less sensitive to outliers than average fees

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

GnosisGNO

Median transaction fee

Median transaction fee

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