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

Scroll is an L2 smart contract platform for decentralized applications on Ethereum. Scroll was founded by Sandy Peng, Haichen Shen, and Ye Zhang and launched in 2023.

SCR tokenholders own and govern the protocol. Scroll's investors include Polychain, Qiming Venture Partners, etc.

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Blockchains (L2)

Scroll

# Scroll Block time Methodology

## 1. Overview

Block time measures the average time interval between consecutive blocks on the Scroll Layer 2 blockchain, expressed in milliseconds and aggregated daily. This metric indicates the blockchain's throughput performance and consistency, answering how quickly the Scroll network produces new blocks on average each day. The calculation uses consecutive block timestamps to compute intervals, then averages these intervals by day.

## 2. Data sources

- **Scroll blockchain block data**: Raw Scroll Layer 2 block headers containing `timestamp` and `number` fields for each block produced on the network
- **Block infrastructure data**: Fundamental blockchain data including block timestamps and sequential block numbers from the Scroll network's block production

## 3. Step-by-step calculation

### Component A: Block data extraction
- **Purpose**: Extract and prepare basic block information from the Scroll blockchain
- **Logic**: Select block timestamps and block numbers from Scroll blockchain block headers, casting timestamps and numbers to appropriate data types. Exclude the genesis block (block number 0) which has an artificial timestamp at the start of Unix time that would skew calculations
- **Key fields**: `block_timestamp` (when each block was produced) and `block_number` (sequential block identifier)

### Component B: Block interval calculation  
- **Purpose**: Calculate the time difference between consecutive blocks
- **Logic**: Use window functions to pair each block with its immediate predecessor by block number. Calculate the time difference in milliseconds between each block's timestamp and the previous block's timestamp using timestamp difference functions. Filter out the first block since it has no predecessor for comparison
- **Key fields**: `block_timestamp` (current block time), `previous_timestamp` (previous block time via LAG window function), and `block_time` (millisecond difference between consecutive blocks)

### Component C: Daily aggregation
- **Purpose**: Group block intervals by day and calculate daily averages  
- **Logic**: Truncate block timestamps to daily boundaries and group all block intervals that occurred within each day. Calculate the average block time across all intervals within each day using standard aggregation functions
- **Key fields**: `timestamp` (daily boundary), `block_time` (individual interval), and calculated average `block_time` per day

### Final aggregation
- **Combining components**: All daily block time averages are combined into a single dataset with Token Terminal's standard metric metadata structure including chain identifier, market sector, and business segment classifications
- **Currency conversion**: Not applicable - block time is measured in milliseconds, no currency conversion needed
- **Time aggregation**: Daily boundaries are used with all block intervals within each calendar day averaged together to produce one block time value per day
- **Final calculation**: For each day, the final metric value is the arithmetic mean of all millisecond intervals between consecutive blocks produced during that day, providing the average block production time for the Scroll network

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

avg(block_timestamp - previous_block_timestamp)

ScrollSCR

Block time

Block time

Competitive landscape

Chain breakdown