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

Phala is a specialized privacy-preserving cloud computing blockchain powered by Polkadot Relay chain.

PHA holders own and govern the protocol. Phala’s investors include IOSG Ventures, Incuba Alpha, Candaq Fintech Group, and others.

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Phala

# Phala Average transaction fee Methodology

## 1. Overview

The average transaction fee metric calculates the mean transaction fee paid per transaction on the Phala blockchain on a daily basis. This metric provides insight into the cost efficiency and network usage patterns by dividing the total daily transaction fees by the total daily transaction count. The calculation uses blockchain event data to extract precise fee payments and transaction records to count unique transactions.

## 2. Data sources

- **Phala blockchain events**: Event logs from Phala blockchain containing transaction payment events, specifically `TransactionFeePaid` events from the `transactionPayment` pallet
- **Phala blockchain extrinsics**: Transaction records (extrinsics) from Phala blockchain used for counting unique transactions
- **External price data**: End-of-day token price feeds from CoinGecko API for PHA token USD conversion

## 3. Step-by-step calculation

### Component A: Transaction fee extraction and aggregation

- **Purpose**: Extract and aggregate total daily transaction fees paid on Phala blockchain
- **Logic**: The system filters Phala blockchain events for `TransactionFeePaid` events from the `transactionPayment` pallet. For each event, it parses the `event_data` array to extract two fee components: the base `transaction_fee` (from array position 1) and the `transaction_tip` (from array position 2). These amounts are summed together to get the total fee per transaction. Raw fee amounts are converted from the smallest PHA unit to standard decimal format by dividing by 10^12. All transaction fees are then aggregated by day using timestamp truncation
- **Key fields**: `event_pallet`, `event_method`, `event_data` array containing fee amounts, `extrinsic_id` for transaction identification, `timestamp` for daily aggregation

### Component B: Transaction count calculation

- **Purpose**: Count the total number of unique transactions processed daily on Phala blockchain
- **Logic**: The system processes Phala blockchain extrinsics data to count distinct transactions per day. Each extrinsic represents a transaction on the Phala network. The count uses distinct `extrinsic_id` values to ensure each transaction is counted only once, even if it appears in multiple events. Transaction counts are aggregated daily using timestamp truncation of the `block_timestamp`
- **Key fields**: `extrinsic_id` for unique transaction identification, `block_timestamp` for daily aggregation, `chain_id` for network identification

### Component C: USD conversion for fees

- **Purpose**: Convert PHA token fees to USD values for standardized reporting
- **Logic**: Daily aggregated fees in PHA tokens are converted to USD using end-of-day price feeds from CoinGecko API. The conversion uses the `pha` CoinGecko identifier to fetch appropriate pricing data. This conversion happens after the daily aggregation of native token fees
- **Key fields**: `coingecko_id` set to 'pha', `fees` amount for conversion, daily price rates from external feeds

### Final aggregation

- **Combining components**: The daily transaction fees (in both native PHA and USD) are joined with daily transaction counts using the timestamp as the join key. The average transaction fee is calculated by dividing the total daily fees by the total daily transaction count using a safe division function that handles cases where transaction count might be zero
- **Currency conversion**: Fees are converted to USD using end-of-day CoinGecko price feeds for PHA token after daily aggregation
- **Time aggregation**: All data is aggregated to daily boundaries using timestamp truncation, with consistent daily grain applied across all components
- **Final calculation**: The average transaction fee equals total daily fees divided by total daily transaction count, with safe division to prevent errors when transaction count is zero. Missing days are filled with zero values to ensure complete time series data

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

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