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Blockchains (L1)

Sonic

# Sonic Transactions per second Methodology

## 1. Overview

Transactions per second (TPS) measures the average number of transactions processed by the Sonic blockchain per second on a daily basis. This metric provides insight into network throughput and activity levels by converting daily transaction volumes into a standardized per-second rate. The calculation takes the total number of unique transactions in a day and divides by the number of seconds in that day (86,400).

## 2. Data sources

- **Sonic blockchain transaction records**: Raw transaction data from the Sonic blockchain including block timestamps, transaction hashes, sender and recipient addresses, gas usage, and gas prices
- **Sonic native token metadata**: Hardcoded metadata for Sonic's native token including the token contract address and symbol

## 3. Step-by-step calculation

### Component A: Transaction data extraction and standardization
- **Purpose**: Extract and standardize raw Sonic blockchain transaction data
- **Logic**: Raw transaction records from the Sonic blockchain are processed to extract essential transaction information. Block timestamps are converted to timestamp format, block numbers to integers, and transaction hashes and addresses to strings. Gas usage information is extracted as big numeric values, and effective gas prices are converted from wei to full token units by dividing by 10^18. The Sonic native token address and symbol are added as constant values for all transactions.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for unique identification, `from_address` and `to_address` for transaction participants, `gas_used` and `effective_gas_price` for fee calculations

### Component B: Daily transaction count aggregation  
- **Purpose**: Count unique transactions per day grouped by recipient address
- **Logic**: Transaction data is aggregated to daily granularity by truncating block timestamps to day boundaries. Transactions are counted using distinct transaction hashes to avoid duplicates, with results grouped by day, chain identifier, market sector, business segment, and recipient address. The aggregation includes metadata fields identifying Sonic as a layer-1 blockchain in the blockchain business segment.
- **Key fields**: `timestamp` truncated to daily granularity, `transaction_count` as distinct count of `transaction_hash`, `chain_id` set to 'sonic', `to_address` for recipient-level grouping

### Component C: Transactions per second calculation
- **Purpose**: Convert daily transaction counts to average transactions per second
- **Logic**: Daily transaction counts are converted to transactions per second by dividing the total transaction count by the number of seconds in a day. The division uses safe division to handle edge cases where transaction counts might be zero or null. Results are grouped by timestamp, grain, product, and chain to maintain proper dimensionality.
- **Key fields**: `transactions_per_second` calculated as daily `transaction_count` divided by 86,400 seconds

### Final aggregation
- **Combining components**: The transactions per second calculation directly uses the output from daily transaction count aggregation, maintaining the same time boundaries and grouping structure
- **Time aggregation**: Data is aggregated at daily boundaries using timestamp truncation, with each day's transaction volume converted to an average per-second rate
- **Data quality**: Both intermediate and final steps apply schema validation macros that ensure proper data types, fill gaps with zeros where no transactions occurred, and validate identifier consistency
- **Final calculation**: The final metric value is the total daily transaction count divided by 86,400 seconds, providing the average transactions per second for each day

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

Average confirmed user transactions added per second.

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