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

OP Mainnet is an L2 smart contract platform for decentralized applications on Ethereum. OP Mainnet was founded by Jinglan Wang, Karl Floersch & Kevin Ho and launched in 2021.

Optimism team & investors own and govern the protocol. Optimism’s investors include Paradigm, a16z, IDEO CoLab Ventures, etc.

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Blockchains (L2)

OP Mainnet

# OP Mainnet Transactions per second Methodology

## 1. Overview

Transactions per second (TPS) measures the average number of transactions processed by the Optimism network per second on a daily basis. This metric provides insight into network throughput and activity levels. The calculation takes the total count of unique transactions on Optimism for each day and divides by 86,400 (the number of seconds in a day) to derive the average transactions per second.

## 2. Data sources

- **Optimism blockchain transactions**: Raw transaction records from the Optimism Layer 2 network containing transaction hashes, block timestamps, sender and receiver addresses, gas usage data, and Layer 1 fee information
- **Account labels**: Public database of labeled Optimism addresses that categorizes known contracts and accounts with human-readable titles

## 3. Step-by-step calculation

### Component A: Transaction extraction and processing
- **Purpose**: Extracts and standardizes all Optimism transaction records with relevant metadata
- **Logic**: Retrieves all transactions from Optimism blockchain data, extracting key fields including block timestamps, transaction hashes, sender (`from_address`) and receiver (`to_address`) addresses, gas usage amounts, Layer 1 gas fees, and gas prices. Sets standard values for token address (WETH contract address), token symbol (ETH), and chain identifier. Calculates Layer 2 gas fees by multiplying gas used by gas price and dividing by 1e18 for decimal adjustment, and Layer 1 gas fees by dividing Layer 1 fee amount by 1e18
- **Key fields**: `block_timestamp`, `transaction_hash`, `from_address`, `to_address`, `gas_used_amount`, `l1_fee_amount`, `gas_price`

### Component B: Daily transaction counting
- **Purpose**: Aggregates transactions to daily counts grouped by destination address
- **Logic**: Groups transaction records by day using timestamp truncation to daily boundaries. Counts distinct transaction hashes to avoid double-counting and groups by destination address (`to_address`) to enable address-level analysis. Applies standard metadata including chain identifier (optimism), market sector (blockchains_l2), and business segment (blockchain). Uses incremental processing with lookback periods to ensure data freshness while maintaining performance
- **Key fields**: `timestamp` (truncated to day), `transaction_count`, `to_address`

### Component C: Address labeling
- **Purpose**: Enriches transaction counts with human-readable labels for destination addresses
- **Logic**: Left joins daily transaction counts with account dimension table to add descriptive labels for known addresses. Sets default label as "Unlabeled" for addresses without known categorization. This enables analysis of transaction patterns by contract type or account category
- **Key fields**: `contract_name` (derived from account labels), `account_title`

### Final aggregation
- **Combining components**: Transaction counts are aggregated across all addresses for each day to get total daily transaction volume
- **Currency conversion**: Not applicable - this metric counts transactions rather than monetary values
- **Time aggregation**: Daily boundaries are established by truncating block timestamps to day level, ensuring consistent 24-hour periods
- **Final calculation**: Transactions per second is calculated by dividing the daily transaction count by 86,400 seconds per day using safe division to handle potential null values. The result represents the average number of transactions processed per second on that day

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

Average confirmed user transactions added per second.

OP MainnetOP

Transactions per second

Transactions per second

Competitive landscape

Chain breakdown