Infrastructure

bloXroute

# bloXroute Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average daily revenue generated per active user on the bloxroute platform. This metric is calculated by dividing daily fees collected by bloxroute by the number of distinct daily active users. The metric provides insight into bloxroute's revenue efficiency and user monetization on the Solana blockchain, where bloxroute operates as a transaction acceleration service that collects fees for priority transaction processing.

## 2. Data sources

The calculation uses the following raw data sources:
- **Solana native token transfers**: All SOL transfers on the Solana blockchain, specifically filtering for transfers to bloxroute's designated fee collection account
- **Solana transaction records**: Transaction metadata including signer information to identify users making fee payments
- **End-of-day price feeds**: Daily SOL-to-USD conversion rates for revenue calculations
- **Token metadata**: Information about the Solana native token (SOL) used for fee payments

## 3. Step-by-step calculation

### Component A: Fee collection identification
- **Purpose**: Identify and aggregate fee payments made to bloxroute's service
- **Logic**: Extract native SOL transfers from Solana blockchain data where the recipient address matches bloxroute's designated fee collection account (`HWEoBxYs7ssKuudEjzjmpfJVX7Dvi7wescFsVx2L5yoY`). Filter out any self-transfers where the fee account is also the sender to avoid counting internal transactions. Each valid transfer represents a fee payment for bloxroute's transaction acceleration service.
- **Key fields**: `block_timestamp` for daily aggregation, `transaction_id` for transaction tracking, `transaction_signer` for user identification, `amount` for fee amounts in lamports

### Component B: Daily fee calculation
- **Purpose**: Calculate total daily fees collected in USD
- **Logic**: Group fee payments by day using timestamp truncation to daily boundaries. Sum all transfer amounts for each day, converting from lamports to SOL by dividing by 1e9 (Solana's native decimal conversion). Apply USD conversion using end-of-day price feeds to get daily fee totals in USD. The token address is standardized to Solana's native token identifier.
- **Key fields**: `timestamp` (daily), `chain` (always 'solana'), `token_address` (SOL token), `fees` (daily sum in USD)

### Component C: Daily active user counting
- **Purpose**: Count distinct users who paid fees each day
- **Logic**: Extract unique transaction signers from fee payment transactions for each day. Each signer represents a user who utilized bloxroute's service and paid fees. Users are counted distinctly per day using the transaction signer address as the unique identifier. Apply HyperLogLog (HLL) aggregation techniques to efficiently handle user counting across multiple dimensional breakdowns including project-level, chain-level, user-type, and product-level aggregations.
- **Key fields**: `timestamp` (daily), `user_dau` (distinct signer addresses), `chain`, `user_type` (always 'User')

### Final aggregation
- **Combining components**: Join daily fee totals with daily active user counts by matching on timestamp and chain dimensions. The relationship is one-to-one for each day on Solana.
- **Currency conversion**: Fees are converted to USD using end-of-day price feeds during the fee calculation phase, ensuring consistent currency representation
- **Time aggregation**: All data is aggregated to daily boundaries using timestamp truncation, with both fees and user counts calculated for the same daily periods
- **Final calculation**: AFPU is calculated by dividing the daily fee total (in USD) by the daily active user count for each day. Days with zero users result in zero AFPU values. The calculation uses a zero-fill strategy for missing days to maintain data continuity, and applies chain availability filters to ensure data quality across the time series.

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

bloXroute

Average fees per user (AFPU)

Average fees per user (AFPU)

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