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Blockchains (L3)

# XAI Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average amount of fees generated per daily active user on the XAI network. This metric answers the business question: "How much revenue does each user generate on average through transaction fees?" The calculation divides total daily fees collected by the network by the number of unique daily active users, providing insight into user monetization efficiency.

## 2. Data sources

The calculation relies on two primary data sources:
- **XAI blockchain transactions**: Complete transaction records from the XAI network containing transaction metadata, gas usage amounts, gas prices, sender addresses, recipient addresses, and timestamps
- **End-of-day price feeds**: Daily XAI token price data from CoinGecko providing USD conversion rates for the `xai-blockchain` token ID

## 3. Step-by-step calculation

### Component A: Transaction fee calculation
- **Purpose**: Calculate total daily fees generated on the XAI network in USD
- **Logic**: Extract all XAI network transactions and calculate gas fees by multiplying `gas_used_amount` by `gas_price`, then dividing by 1e18 to adjust for token decimals. Group transactions by day and sum the L3 gas fees. Convert XAI token amounts to USD by joining with end-of-day XAI price data from CoinGecko on the transaction date. Apply filtering to exclude transactions after August 22, 2025.
- **Key fields**: `gas_used_amount` (gas consumed), `gas_price` (price per gas unit), `l3_gas_fee_amount` (calculated fee in XAI tokens), `price` (USD price per XAI token)

### Component B: Daily active user calculation  
- **Purpose**: Count unique users transacting on the XAI network each day
- **Logic**: Identify unique users as distinct `from_address` values from XAI transactions, representing transaction senders. Group by day and use HyperLogLog approximate distinct counting to handle large datasets efficiently. Create dimensional breakdowns by chain, user type (labeled as "Transaction sender"), and product ID. Apply the same date filtering as the fees component.
- **Key fields**: `from_address` (transaction sender as user identifier), `user_dau` (daily active user count), `user_type` (classification as transaction sender)

### Final aggregation
- **Combining components**: Join the daily fees in USD with daily active user counts on the date dimension
- **Currency conversion**: Fees are converted from XAI tokens to USD using end-of-day XAI token prices from CoinGecko
- **Time aggregation**: Both components use daily boundaries with timestamp truncation to day level
- **Final calculation**: Divide total daily fees by daily active user count to get average fees per user. Apply zero-filling strategy for days with missing data to ensure complete time series coverage

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

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Average fees per user (AFPU)

Average fees per user (AFPU)

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