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

Energy Web X is energy blockchain ecosystem powered by Polkadot Relay chain.

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Energy Web X

# Energy Web X Average fees per user (AFPU) Methodology

## 1. Overview

Average fees per user (AFPU) measures the average amount of transaction fees paid per daily active user on the Energy Web Chain. This metric is calculated by dividing the total daily transaction fees (in USD) by the number of daily active users. It provides insights into user engagement intensity and the economic activity per user on the Energy Web blockchain platform.

## 2. Data sources

The calculation uses the following raw data sources:

- **Energy Web Chain event logs**: Blockchain event logs containing `transactionPayment.TransactionFeePaid` events that record transaction fees and tips paid by users
- **Energy Web Chain extrinsic records**: Transaction records containing sender addresses used to identify unique daily active users  
- **Energy Web Chain block data**: Block timestamps used for daily time boundary aggregation
- **External price feeds**: End-of-day price feeds from CoinGecko for the energy-web-token (EWT) used for USD conversion

## 3. Step-by-step calculation

### Component A: Daily transaction fees calculation

- **Purpose**: Calculate total daily transaction fees in USD for the Energy Web Chain
- **Logic**: Filter Energy Web Chain event logs for events from the `transactionPayment` pallet with method `TransactionFeePaid`. Extract transaction fee and tip amounts from the event data arrays (specifically the second and third elements). Sum the transaction fee and tip amounts for each transaction. Convert amounts from wei to EWT by dividing by 10^18 to account for token decimals. Aggregate these converted amounts by day to get total daily fees in EWT. Apply end-of-day EWT/USD exchange rates from CoinGecko price feeds to convert daily totals to USD values.
- **Key fields**: `transaction_fee` and `transaction_tip` amounts extracted from `event_data` arrays, `timestamp` for daily aggregation, `extrinsic_id` for transaction identification

### Component B: Daily active users calculation  

- **Purpose**: Count unique active users per day on the Energy Web Chain
- **Logic**: Extract user addresses from Energy Web Chain extrinsic records, where each extrinsic represents a transaction and contains the sender address. Classify all addresses as 'Transaction sender' user type. Use timestamp truncation to group transactions by day. Apply HyperLogLog algorithm to efficiently count distinct user addresses per day, handling large-scale distinct counting across multiple dimensions including project level, chain level, user type, and product breakdowns. The HyperLogLog approach enables efficient distinct user counting while maintaining accuracy.
- **Key fields**: `user_address` from extrinsic records (mapped from `id` field), `block_timestamp` for daily grouping, `user_type` classification

### Final aggregation

- **Combining components**: The daily fees (USD) and daily active user counts are combined using a division operation where total daily fees are divided by the count of daily active users
- **Currency conversion**: EWT amounts are converted to USD using end-of-day exchange rates from CoinGecko price feeds for the energy-web-token identifier, applied at the daily aggregation level
- **Time aggregation**: All data is aggregated using daily boundaries determined by truncating block timestamps to day granularity, ensuring consistent time alignment between fees and user counts
- **Final calculation**: The final AFPU metric is computed as total daily transaction fees in USD divided by the count of daily active users, with zero-fill strategy applied for days with missing data to maintain time series continuity

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

Energy Web XEWT

Average fees per user (AFPU)

Average fees per user (AFPU)

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