Users sign up for World ID by visiting a Worldcoin Operator and verifying their unique personhood at an Orb. The Orb uses iris biometrics to establish an individual’s unique personhood and then creates a digital World ID, which is stored on the users device using a compatible identity wallet. World App is built on top of Safe's smart contract accounts and also serves as an identity wallet.

Worldcoin is an open source protocol primarily consisting of World ID - a privacy-preserving digital identity and World App - a fully self custodial wallet. Worldcoin was founded by Sam Altman, Alex Blania and Max Novendstern and publicly launched in July 2023.

Worldcoin is currently governed by the Worldcoin Foundation, but intends to decentralize governance over time. Worldcoin's investors include a16z, Multicoin Capital, 1confirmation, CoinFund etc.

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Worldcoin

# Worldcoin Transactions per second Methodology

## 1. Overview

Transactions per second (TPS) measures the average number of transactions processed per second on the Worldchain blockchain over daily periods. This metric provides insight into network activity and throughput by calculating the daily transaction volume divided by the number of seconds in a day (86,400). The metric helps assess the operational capacity and usage patterns of the Worldchain network.

## 2. Data sources

- **Worldchain transaction records**: Raw blockchain transaction data containing transaction hashes, timestamps, sender and receiver addresses, and block information
- **Incremental processing metadata**: Table modification cache used to track data freshness and determine processing boundaries for efficient updates

## 3. Step-by-step calculation

### Component A: Raw transaction extraction
- **Purpose**: Extract and standardize raw Worldchain transaction data
- **Logic**: Raw transaction records are retrieved from Worldchain blockchain data and cast to appropriate data types. Key fields include `block_timestamp` for timing, `transaction_hash` for unique identification, `from_address` and `to_address` for transaction participants, and a hardcoded chain identifier of 'worldchain'
- **Key fields**: `block_timestamp`, `transaction_hash`, `from_address`, `to_address`, `chain`

### Component B: Daily transaction aggregation
- **Purpose**: Count unique transactions per day and apply business classification
- **Logic**: Transactions are grouped by day using timestamp truncation to daily boundaries. An approximate count distinct operation counts unique transactions per day based on transaction hashes. Business metadata is applied including chain identification ('worldchain'), market sector classification ('blockchains_l2'), business segment ('blockchain'), and product identification. The aggregation groups by timestamp, timestamp grain, chain, market sector, business segment, product, contract name, and destination address
- **Key fields**: `timestamp` (truncated to day), `timestamp_grain` ('day'), `chain_id` ('worldchain'), `market_sector_id` ('blockchains_l2'), `business_segment_id` ('blockchain'), `product_id` ('worldchain'), `transaction_count`

### Component C: Schema standardization and gap filling
- **Purpose**: Ensure consistent schema and handle missing data points
- **Logic**: The `finalize_metric_transaction_count` macro standardizes the data schema, validates identifier fields, and fills gaps in the time series. Missing days are filled with zero transaction counts to maintain continuous time series data. Chain availability filters are applied to ensure only valid chain data is included
- **Key fields**: Standardized metric fields with validated identifiers and gap-filled time series

### Final aggregation
- **Combining components**: Daily transaction counts are directly used as input without combining multiple components
- **Currency conversion**: No currency conversion is required for this transaction count metric
- **Time aggregation**: Data is aggregated at daily boundaries using timestamp truncation, with each day representing a complete 24-hour period
- **Final calculation**: Transactions per second is calculated by dividing the daily transaction count by 86,400 (the number of seconds in a day) using a safe divide operation to handle potential division by zero. The `finalize_metric_transactions_per_second` macro ensures proper schema validation and maintains the fill-zeros strategy for missing data points

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

Average confirmed user transactions added per second.

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Transactions per second

Transactions per second

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