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 Fees Methodology

## 1. Overview

The Mythos fees metric measures the total fee revenue generated across the Mythos ecosystem, denominated in USD. This metric aggregates three distinct fee sources: base blockchain transaction fees, marketplace trading fees, and DMarket trading fees. The calculation combines fees from all three sources to provide a comprehensive view of the total fee revenue generated by the Mythos protocol and its associated applications.

## 2. Data sources

The calculation relies on these raw data sources:
- **Mythos blockchain events**: Parsed event logs from the Mythos blockchain, specifically `TransactionFeePaid` events that record base transaction fees and tips
- **Mythos marketplace events**: Parsed `OrderExecuted` events from the marketplace pallet that capture trading fees from both buyers and sellers
- **Mythos DMarket events**: Parsed `Trade` events from the dmarket pallet that record fees from DMarket trading activities  
- **Token price data**: End-of-day price feeds from CoinGecko for the MYTHOS token used for USD conversion

## 3. Step-by-step calculation

### Component A: Mythos Substrate transaction fees
- **Purpose**: Captures base blockchain transaction fees and tips paid by users for transaction execution
- **Logic**: Extracts fee data from `TransactionFeePaid` events in the Mythos blockchain. Each event contains an `event_data` JSON array where the `amount` field (at array position 1) represents the base transaction fee and the `tip` field (at array position 2) represents additional tips paid by users. Both values are normalized by dividing by 1e18 to account for token decimals, then summed together to get total transaction fees per transaction. These are aggregated daily by summing all transaction fees for each day.
- **Key fields**: `amount` and `tip` values from the event data, `block_timestamp` for daily aggregation

### Component B: Marketplace trading fees  
- **Purpose**: Captures fees collected from trading activities on the Mythos native marketplace
- **Logic**: Processes `OrderExecuted` events from the marketplace pallet. Each event contains `buyer_fee` (at array position 5) and `seller_fee` (at array position 6) values in the `event_data` JSON array. Both fee values are normalized by dividing by 1e18 and then summed together to capture total fees collected per trade. The combined fees are aggregated daily by summing all marketplace trading fees for each day.
- **Key fields**: `buyer_fee` and `seller_fee` from event data, `block_timestamp` for daily aggregation

### Component C: DMarket trading fees
- **Purpose**: Captures fees collected from trading activities through the DMarket integration
- **Logic**: Extracts fee data from `Trade` events in the dmarket pallet. Each event contains a `fee` value at array position 4 in the `event_data` JSON array. The fee value is normalized by dividing by 1e18 to adjust for token decimals. These normalized fees are aggregated daily by summing all DMarket trading fees for each day.
- **Key fields**: `fee` from event data, `block_timestamp` for daily aggregation

### Final aggregation
- **Combining components**: All three fee components are combined using a union operation to create a single dataset. Each component contributes daily fee totals with consistent fields: timestamp, chain identifier ('mythos'), product identifier (specific to each component), and fee amount.
- **Currency conversion**: All fee amounts in MYTHOS tokens are converted to USD using end-of-day price feeds from CoinGecko. The conversion applies the daily closing price of MYTHOS to each day's fee totals.
- **Time aggregation**: Fees are aggregated at daily boundaries using timestamp truncation to the day level. All transactions within the same calendar day are summed together.
- **Final calculation**: The metric applies a finalization process that ensures complete time series data by filling zeros for any missing days, then applies chain availability filtering to ensure data quality and consistency across the reporting period.

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

Total value users pay to use a protocol (gross fees, user-paid fees).

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