zkSync Era batches users' transactions and submits them to Ethereum together with a zero-knowledge proof, paying a share of the transaction fees to Ethereum validators (expense).

zkSync Era is an L2 smart contract platform for decentralized applications on Ethereum. zkSync Era was founded by Matter Labs and launched in 2023.

Matter Labs team owns and governs the protocol. Matter Labs' investors include a16z, Lightspeed Venture Partners, Blockchain Capital, etc.

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Blockchains (L2)

zkSync Era

# zkSync Era Transaction count Methodology

## 1. Overview

The zkSync Era transaction count metric measures the daily volume of transactions processed on the zkSync Era Layer 2 blockchain. This metric counts the number of unique transactions sent to each destination address per day, providing insights into network activity and contract usage patterns. The calculation aggregates raw blockchain transaction data on a daily basis and enriches it with human-readable contract labels.

## 2. Data sources

- **zkSync Era transaction records**: Raw blockchain transaction data including transaction hashes, sender/receiver addresses, timestamps, gas usage, and gas pricing information
- **Account labeling data**: External dataset containing human-readable names and classifications for blockchain addresses, specifically filtered for zkSync Era accounts

## 3. Step-by-step calculation

### Component A: Raw transaction processing
- **Purpose**: Extract and standardize zkSync Era transaction data with gas information
- **Logic**: Retrieves all transactions from zkSync Era blockchain records, including block timestamps, transaction hashes, sender (`from_address`) and receiver (`to_address`) addresses. Gas usage data is extracted from `receipt_gas_used` and effective gas prices are converted from wei to ETH by dividing by 10^18. The process assigns a hardcoded WETH token address and ETH symbol to represent gas costs in the native currency.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for unique identification, `from_address` and `to_address` for transaction flow, `gas_used` and `effective_gas_price` for cost analysis

### Component B: Daily transaction aggregation  
- **Purpose**: Group transactions by day and destination address to count daily activity
- **Logic**: Transactions are aggregated by truncating timestamps to day-level granularity and grouping by `to_address`. The system uses approximate distinct count of `transaction_hash` values to efficiently handle large transaction volumes while maintaining accuracy. Each aggregated record includes standard metadata fields for chain identification (zksyncera), market sector (blockchains_l2), and business segment (blockchain).
- **Key fields**: `timestamp` truncated to day, `to_address` for grouping, `transaction_count` as the approximate distinct count of transaction hashes

### Component C: Account label enrichment
- **Purpose**: Add human-readable names to destination addresses
- **Logic**: Performs a left join between the aggregated transaction data and the account labels dataset. The join matches transaction `to_address` values with `account_address` values from the labels data, specifically filtered for zkSync Era chain. Addresses without labels are assigned 'Unlabeled' as the default `contract_name`.
- **Key fields**: `contract_name` derived from `account_title` or defaulted to 'Unlabeled', maintaining all transaction count data from previous step

### Final aggregation
- **Combining components**: The enriched transaction data flows through a finalization macro that standardizes the metric schema, validates chain and business segment identifiers, and ensures data completeness
- **Time aggregation**: Daily boundaries are defined by timestamp truncation to day level, with each day representing a complete 24-hour period in the blockchain's timezone
- **Data gap handling**: The finalization process uses a 'fill_zeros' strategy to ensure no missing days in the time series, inserting zero transaction counts for any gaps in the data
- **Final calculation**: The metric value represents the approximate distinct count of transaction hashes sent to each destination address per day, providing a reliable measure of daily transaction activity while handling the scale of blockchain data efficiently

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

Confirmed transactions added to the blockchain.

zkSync EraZK

Transaction count

Transaction count

Competitive landscape

Chain breakdown