opBNB is built on the OP Stack, the same underlying framework as Optimism. It extends the Ethereum Virtual Machine (EVM) to provide faster and cheaper transactions, while leveraging BNB Smart Chain (BSC) for ecosystem integration.

opBNB is an Ethereum-compatible Layer 2 scaling solution designed to improve the performance and affordability of decentralized applications on BNB Chain. It provides high throughput and low fees, making it suitable for gaming, social, and DeFi applications.

opBNB is developed by BNB Chain, which is supported by contributors from the broader Binance ecosystem.

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opBNB

# opBNB Average transaction fee Methodology

## 1. Overview

This metric calculates the average transaction fee paid on the opBNB blockchain, measured in USD per transaction on a daily basis. The calculation divides the total daily transaction fees by the total daily transaction count. opBNB is a layer-2 rollup solution, so transaction fees include both layer-2 execution costs and layer-1 data availability costs that are rolled up and submitted to the parent chain.

## 2. Data sources

- **opBNB blockchain transaction records**: Complete transaction data including gas usage metrics (`gas_used`, `gas_price`), layer-1 fee components (`l1_gas_used`, `l1_gas_price`, `l1_fee_scalar`), transaction hashes, timestamps, and address information
- **End-of-day price feeds**: BNB token price data for converting gas fees from native BNB to USD
- **Account labels database**: Address classification and labeling data for enriching transaction analysis with contract names and address types

## 3. Step-by-step calculation

### Component A: Transaction fee calculation
- **Purpose**: Calculate the total USD value of transaction fees paid per day
- **Logic**: Extract all opBNB transaction records and calculate individual transaction fees using the layer-2 rollup fee structure. Each transaction has two fee components: layer-2 execution fee calculated as `gas_used` multiplied by `gas_price` divided by 10^18 to adjust for Wei decimals, and layer-1 data availability fee calculated as `l1_gas_used` multiplied by `l1_gas_price` multiplied by `l1_fee_scalar` divided by 10^18. The total transaction fee is the sum of these two components. Convert the BNB-denominated fees to USD using end-of-day BNB price feeds, then aggregate by summing all transaction fees within each calendar day
- **Key fields**: `gas_used` (layer-2 gas consumed), `gas_price` (gas price in Wei), `l1_gas_used` (layer-1 gas allocation), `l1_gas_price` (layer-1 gas price), `l1_fee_scalar` (layer-1 fee scaling factor), `block_timestamp` (transaction timestamp)

### Component B: Transaction count calculation  
- **Purpose**: Count the total number of transactions processed per day
- **Logic**: Extract all opBNB transaction records and count distinct transaction hashes grouped by calendar day. The count includes all transactions regardless of success or failure status. Enrich transaction data with account labels to classify destination addresses, but the core count aggregates all transactions universally
- **Key fields**: `transaction_hash` (unique transaction identifier), `block_timestamp` (transaction timestamp), `to_address` (destination address for labeling)

### Final aggregation
- **Combining components**: Join the daily transaction fee totals with daily transaction counts on the timestamp field using an inner join to ensure both components exist for each day
- **Currency conversion**: Fees are converted from BNB to USD using end-of-day price feeds during the fee calculation component, before final aggregation  
- **Time aggregation**: Both components use calendar day boundaries by truncating block timestamps to day level, ensuring consistent daily grouping
- **Final calculation**: Calculate average transaction fee by dividing the daily total fees (in USD) by the daily transaction count using safe division to handle edge cases where transaction count might be zero

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

opBNB

Average transaction fee

Average transaction fee

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