Scroll batches users' transactions and submits them to Ethereum, paying a share of the transaction fees to Ethereum validators (expense).

Scroll is an L2 smart contract platform for decentralized applications on Ethereum. Scroll was founded by Sandy Peng, Haichen Shen, and Ye Zhang and launched in 2023.

SCR tokenholders own and govern the protocol. Scroll's investors include Polychain, Qiming Venture Partners, etc.

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Scroll

# Scroll Median transaction fee Methodology

## 1. Overview

The Scroll median transaction fee metric measures the daily median cost (in USD) that users pay to execute transactions on the Scroll blockchain. This metric provides insight into the typical transaction cost experience for Scroll users, accounting for both Layer 2 gas costs and Layer 1 data availability fees. The calculation processes all Scroll transactions daily, computes individual transaction fees by combining gas costs and L1 fees, and takes the median value to represent the typical user experience.

## 2. Data sources

- **Scroll blockchain transaction records**: Complete transaction data including gas usage, gas prices, L1 fees, timestamps, and transaction metadata from the Scroll network
- **End-of-day price feeds**: ETH price data used for USD conversion of ETH-denominated transaction fees  
- **Token metadata**: Information about ETH as the native token on Scroll, including the native token contract address `0x5300000000000000000000000000000000000004`

## 3. Step-by-step calculation

### Component A: Transaction data extraction
- **Purpose**: Extract and standardize raw Scroll transaction data
- **Logic**: Retrieve all Scroll blockchain transactions with their essential fields including block timestamps, transaction hashes, sender and recipient addresses, gas usage (`gas_used`), effective gas prices (`gas_price`), and L1 fees (`l1_fee`). The data identifies ETH as the native token using the contract address `0x5300000000000000000000000000000000000004` and sets the chain identifier as 'scroll'
- **Key fields**: `block_timestamp` for timing, `gas_used` for gas consumption, `gas_price` for gas cost per unit, `l1_fee` for Layer 1 data availability costs

### Component B: Individual transaction fee calculation  
- **Purpose**: Calculate the total fee paid for each transaction
- **Logic**: For each transaction, compute the total fee by combining two components: Layer 2 gas costs calculated as gas used multiplied by gas price, and Layer 1 fees for data availability. Both values are converted from wei to ETH by dividing by 1e18. The calculation handles null values by defaulting them to zero using coalesce logic. The final fee is the sum of the L2 gas cost and L1 fee components
- **Key fields**: `fee_amount` representing the total transaction fee in ETH, combining gas costs and L1 fees

### Component C: Daily median calculation
- **Purpose**: Aggregate individual transaction fees to daily median values
- **Logic**: Group all transactions by day using daily time boundaries (truncating timestamps to day level). For each day, calculate the median transaction fee using statistical approximation methods that compute the 50th percentile across all transaction fees for that day. This provides a representative measure of typical transaction costs that is less sensitive to outliers than average fees
- **Key fields**: `timestamp` as the daily boundary, `transaction_fee_median` as the calculated median fee value

### Final aggregation
- **Combining components**: The daily median fees are passed through currency conversion and formatting processes without additional aggregation
- **Currency conversion**: ETH-denominated median fees are converted to USD using end-of-day ETH price feeds, maintaining daily granularity for accurate pricing
- **Time aggregation**: Daily time boundaries are maintained throughout, with each day represented by a single median fee value
- **Final calculation**: The final metric represents the daily median transaction fee in USD, calculated as the 50th percentile of all transaction fees for each day, where individual transaction fees equal the sum of Layer 2 gas costs and Layer 1 data availability fees converted to USD

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

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Median transaction fee

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