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 Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for zkSync Era measures the number of unique wallet addresses that initiated at least one transaction on the zkSync Era blockchain within a 24-hour period. This metric provides a fundamental indicator of network activity and user engagement by counting distinct transaction originators on a daily basis. The calculation follows a straightforward approach: identify all transaction senders from zkSync Era blockchain data, deduplicate addresses within each day, and apply data quality filters.

## 2. Data sources

The calculation relies on the following raw data sources:

- **zkSync Era transaction records**: Complete blockchain transaction data from the zkSync Era network, containing transaction metadata including sender addresses (`from_address`), timestamps (`block_timestamp`), and transaction identifiers
- **Chain availability configuration**: Token Terminal's internal data quality framework that ensures blockchain data completeness and applies availability filters to maintain metric reliability

## 3. Step-by-step calculation

### Component A: User identification
- **Purpose**: Extract all unique addresses that initiated transactions on zkSync Era
- **Logic**: Retrieve all transaction records from zkSync Era blockchain data, focusing on the sender address (`from_address`) field which identifies the wallet that initiated each transaction. Each transaction record includes the originating address, block timestamp, and transaction hash. All transaction senders are classified uniformly as 'Transaction sender' user type within the 'blockchains_l2' market sector and 'blockchain' business segment
- **Key fields**: `from_address` (the wallet address initiating the transaction), `block_timestamp` (precise transaction timing), `transaction_hash` (unique transaction identifier)

### Component B: Daily aggregation and deduplication
- **Purpose**: Convert transaction-level user data into daily unique user counts
- **Logic**: Transform the transaction timestamps to daily boundaries using day-level truncation, ensuring all transactions within a 24-hour period are grouped together. Apply address deduplication within each day to count each unique wallet address only once, regardless of how many transactions they initiated. Enrich the data with consistent metadata including chain identifier ('zksyncera'), timestamp granularity ('day'), and classification attributes
- **Key fields**: `timestamp` (day-truncated date), `user_dau` (unique wallet address), `user_type` (classification as 'Transaction sender')

### Final aggregation
- **Combining components**: The user identification and daily aggregation occur in sequence, where transaction-level data flows directly into the daily deduplication process without separate joining operations
- **Currency conversion**: No currency conversion required as this metric counts addresses rather than monetary values
- **Time aggregation**: Daily boundaries are established by truncating all timestamps to the day level, ensuring consistent 24-hour measurement periods aligned with UTC timezone
- **Final calculation**: The metric represents the count of distinct wallet addresses that appear as transaction senders within each daily period, with data quality filters applied to ensure blockchain data availability and completeness before final output

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

Unique revenue-generating users over a fixed 24-hour window.

zkSync EraZK

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown