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

Mythos is a specialized gaming blockchain powered by Polkadot Relay chain.

MYTH holders own and govern the protocol.

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Mythos

# Mythos Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average daily fees generated per active user on the Mythos ecosystem. This metric answers the question "How much fee revenue does each user generate on average?" by dividing the total daily fees collected across all Mythos products by the number of daily active users. The calculation encompasses transaction fees from the base Mythos blockchain as well as trading fees from two NFT marketplaces (marketplace and DMarket).

## 2. Data sources

- **Mythos blockchain events**: Parsed event logs from the Mythos blockchain containing transaction fee data and user activity records
- **Transaction fee events**: `TransactionFeePaid` events that capture base transaction fees and tips paid by users
- **NFT marketplace events**: `OrderExecuted` events from the Mythos marketplace containing buyer and seller fee information
- **DMarket trading events**: `Trade` events from the DMarket NFT platform with associated trading fees  
- **User activity events**: `ProxyExecuted` events from the mythProxy pallet that identify transaction senders
- **External price data**: End-of-day price feeds for the MYTH token from CoinGecko for USD conversion

## 3. Step-by-step calculation

### Component A: Mythos chain transaction fees
- **Purpose**: Captures base layer transaction fees from the Mythos blockchain
- **Logic**: Extract `TransactionFeePaid` events from Mythos blockchain event logs. Parse the `amount` field (base transaction fee) and `tip` field (additional tip) from the event data array. Sum these two values to get the total transaction fee. Normalize amounts by dividing by 1e18 to handle native token decimals. Aggregate fees daily and convert to USD using end-of-day MYTH token prices
- **Key fields**: `amount` (base fee), `tip` (additional fee), `block_timestamp` (transaction time)

### Component B: Marketplace trading fees  
- **Purpose**: Captures fees from NFT trades on the Mythos marketplace
- **Logic**: Extract `OrderExecuted` events from the marketplace pallet in Mythos event logs. Parse `buyer_fee` and `seller_fee` fields from the event data. Sum buyer and seller fees to get total trading fees per transaction. Normalize by dividing by 1e18 and aggregate daily. Convert to USD using end-of-day MYTH token prices
- **Key fields**: `buyer_fee` (fee paid by buyer), `seller_fee` (fee paid by seller), `buyer` and `seller` addresses

### Component C: DMarket trading fees
- **Purpose**: Captures fees from NFT trades on the DMarket platform  
- **Logic**: Extract `Trade` events from the DMarket pallet in Mythos event logs. Parse the `fee` field from the event data to get the trading fee amount. Normalize by dividing by 1e18 and aggregate daily. Convert to USD using end-of-day MYTH token prices
- **Key fields**: `fee` (trading fee amount), `buyer` and `seller` addresses

### Component D: Daily active users calculation
- **Purpose**: Counts unique daily active users across all Mythos ecosystem products
- **Logic**: Identify users from three sources: transaction senders from `ProxyExecuted` events (Mythos Substrate users), buyers and sellers from marketplace `OrderExecuted` events, and buyers and sellers from DMarket `Trade` events. Extract user addresses from each event type and classify by user type (Transaction sender, NFT buyer, NFT seller). Use HyperLogLog with precision 15 to deduplicate users who may be active across multiple products on the same day. Aggregate users daily across all products and user types
- **Key fields**: `user_address` from various event types, `user_type` classification, `block_timestamp`

### Final aggregation
- **Combining components**: Sum daily fee amounts from all three fee sources (Mythos Substrate transaction fees + marketplace trading fees + DMarket trading fees) to get total daily fees in USD
- **Currency conversion**: Native MYTH token amounts are converted to USD using end-of-day price feeds from CoinGecko, applied after daily aggregation of native token amounts
- **Time aggregation**: All data is truncated to day-level timestamps, with fees and users calculated as daily totals
- **Final calculation**: Divide total daily fees (USD) by total daily active users using HyperLogLog count extraction. Missing days are filled with zero values for both fees and users, resulting in zero AFPU for days with no activity

*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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