World Chain is designed as a Layer 2 blockchain built on the OP Stack and optimized for verified humans. It leverages World ID, a privacy-preserving proof of personhood, to prioritize real users over bots and Sybil attackers. It integrates with World App and other identity wallets using Safe smart contract infrastructure.

World Chain is an Ethereum Layer 2 chain that enables applications to distinguish between bots and verified humans. It forms a core part of the Worldcoin ecosystem, aiming to power more human-centric onchain activity by prioritizing real people in blockspace allocation and transaction processing.

World Chain is developed by the team behind Worldcoin, which is currently governed by the Worldcoin Foundation. Worldcoin's investors include a16z, Multicoin Capital, 1confirmation, CoinFund, among others.

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# World Chain Block time Methodology

## 1. Overview

Block time measures the average time interval between consecutive blocks on the Worldchain blockchain, aggregated to daily values. This metric indicates the blockchain's block production efficiency and consistency. The calculation involves measuring time differences between consecutive blocks and averaging these intervals on a daily basis to provide insights into network performance and block production patterns.

## 2. Data sources

The calculation uses the following raw data sources:
- **Worldchain block data**: Block headers from the Worldchain blockchain containing block timestamps and sequential block numbers
- **Blockchain node data**: Real-time block production data collected via Worldchain node RPC calls that capture precise block creation timestamps

## 3. Step-by-step calculation

### Component A: Block data extraction
- **Purpose**: Retrieves basic block timing information from the Worldchain blockchain
- **Logic**: Extracts block timestamps and block numbers from Worldchain block headers. The genesis block (block number 0) is excluded as it has an artificial timestamp at the start of Unix time that would skew calculations. For incremental updates, only processes blocks from recent days to maintain efficiency
- **Key fields**: `block_timestamp` (when the block was produced), `block_number` (sequential block identifier)

### Component B: Temporal sequencing
- **Purpose**: Pairs each block with its immediate predecessor to enable time difference calculations
- **Logic**: Uses a window function to associate each block with the timestamp of the previous block in chronological order. This creates pairs of consecutive blocks needed for interval calculations
- **Key fields**: `block_timestamp` (current block time), `previous_timestamp` (prior block time via LAG function)

### Component C: Block interval calculation
- **Purpose**: Computes the actual time intervals between consecutive block productions
- **Logic**: Calculates the time difference in milliseconds between each block and its predecessor. Blocks without a previous timestamp (the first block in the dataset) are excluded from calculations. Timestamps are truncated to daily boundaries for subsequent aggregation
- **Key fields**: `block_time` (interval in milliseconds), `timestamp` (daily boundary)

### Final aggregation
- **Combining components**: All block intervals for each day are grouped together and averaged to produce a single daily block time metric
- **Time aggregation**: Daily boundaries are used with all blocks produced within a 24-hour period contributing to that day's average
- **Final calculation**: The average block time per day is calculated by taking the mean of all individual block intervals within each daily period, measured in milliseconds. The result is then processed through standardization logic that adds metadata fields including chain identifier, market sector classification, and business segment labels to create the final metric output

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

avg(block_timestamp - previous_block_timestamp)

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Block time

Block time

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