# Mythos Substrate Transactions per second Methodology

## 1. Overview

Transactions per second measures the average number of confirmed user transactions added to Mythos Substrate each second. This metric reflects both the network’s throughput and real-time usage intensity. The value is calculated by normalizing the daily volume of unique extrinsics by the total number of seconds in a 24-hour period to provide a standardized measure of network activity.

## 2. Data sources

- **Blockchain events**: `extrinsics` from Mythos Substrate

## 3. Step-by-step calculation

### Component A: Mythos Substrate transaction aggregation

- **Purpose**: Count the total number of unique transactions occurring on the network daily.
- **Logic**: Unique `extrinsic_id` values are identified and counted from the Mythos Substrate blockchain data. These counts are aggregated into daily totals based on the block timestamp. Only confirmed extrinsics are included in the calculation to ensure an accurate representation of finalized network activity.
- **Key fields**: `block_timestamp` (timing), `extrinsic_id` (unique transaction identifier)

### Component B: Average throughput calculation

- **Purpose**: Convert daily transaction volumes into a per-second average.
- **Logic**: The daily sum of transactions is divided by the constant number of seconds in a day (86,400). This division is performed using safe arithmetic to handle potential null values or periods of zero activity. The resulting value represents the average throughput for the specific 24-hour UTC period.
- **Key fields**: `transaction_count` (aggregated daily volume)

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

Average confirmed user transactions added per second.

Transactions per second

Blockchains (L1)

Collators aggregate parachain transactions block candidates and producing state transition proofs for validators based on those blocks.

Mythos Substrate

Archived

Transactions per second

Transactions per second

Chain breakdown