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

Mode Network is an L2 smart contract platform for decentralized applications on Ethereum. Mode Network was founded by James Ross and launched in 2024.

Mode Network team & investors own and govern the protocol. Mode Network has received a $6 million grant from the Optimism Foundation.

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Blockchains (L2)

Mode Network

# Mode Network Transactions per second Methodology

## 1. Overview

Transactions per second (TPS) measures the average number of transactions processed per second on the Mode Network blockchain over daily periods. This metric provides insight into Mode's transaction throughput and network utilization by converting daily transaction volumes into standardized per-second rates. The calculation aggregates all unique transactions within each day and divides by 86,400 seconds to produce a daily average TPS value.

## 2. Data sources

- **Mode blockchain transaction records**: Raw transaction data from Mode Network containing transaction hashes, timestamps, sender and receiver addresses
- **Chain availability configuration**: Metadata defining periods when Mode blockchain data is considered complete and reliable for metric calculation
- **Incremental processing metadata**: Table partition information used to track processing state and enable efficient incremental updates

## 3. Step-by-step calculation

### Component A: Transaction data extraction
- **Purpose**: Standardize and prepare raw Mode blockchain transaction data for aggregation
- **Logic**: Extract transaction records from Mode blockchain data, converting timestamp fields to proper timestamp format and address fields to string format. Add chain identifier as 'mode' to distinguish from other blockchain networks. Filter data during incremental runs to only process recent transactions within the lookback window.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for unique identification, `from_address` and `to_address` for transaction participants, `chain` as network identifier

### Component B: Daily transaction aggregation  
- **Purpose**: Count unique transactions per day and assign business metadata
- **Logic**: Group transactions by daily boundaries using timestamp truncation to ensure consistent 24-hour periods. Count distinct `transaction_hash` values to eliminate any duplicate records and get accurate transaction volumes. Assign business classification metadata including chain_id as 'mode', market_sector_id as 'blockchains_l2' (Layer 2 blockchain category), and business_segment_id as 'blockchain'. Set product_id and contract_name as null since this metric covers all Mode transactions regardless of specific contracts or applications.
- **Key fields**: `timestamp` truncated to day granularity, `transaction_count` as distinct count of transaction hashes, business classification fields for categorization

### Final aggregation
- **Combining components**: Daily transaction counts flow directly from the aggregation component to the final TPS calculation
- **TPS conversion**: Divide the daily `transaction_count` by 86,400 (the number of seconds in a day) using safe division to handle potential zero values and produce the `transactions_per_second` metric
- **Time aggregation**: Maintain daily timestamp grain while converting to per-second rate, creating continuous daily TPS values
- **Final calculation**: The transactions per second value represents the average number of transactions processed per second during each 24-hour period, calculated as total daily transactions divided by 86,400 seconds. Gap filling with zeros ensures continuous time series for days without transactions, and chain availability filtering excludes periods with incomplete or unreliable data.

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

Average confirmed user transactions added per second.

Mode NetworkMODE

Transactions per second

Transactions per second

Competitive landscape

Chain breakdown