The Robonomics chain is a parachain in the Polkadot and Kusama ecosystems designed to provide a decentralized infrastructure for the Internet of Things (IoT) and cyber-physical systems.

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Blockchains (L2)

Robonomics Network

# Robonomics Network Revenue Methodology

## 1. Overview

Robonomics revenue represents the total fees collected by the Robonomics network from transactions, measured in USD. This metric answers the business question of how much revenue the Robonomics protocol generates from user activity. The calculation approach captures all transaction fees and tips paid by users, converts them from native XRT tokens to USD, and aggregates them on a daily basis.

## 2. Data sources

- **Robonomics blockchain events**: Parsed `TransactionFeePaid` events from the Robonomics blockchain containing fee amounts and tip values in native XRT tokens
- **External price data**: End-of-day price feeds from CoinGecko for the Robonomics Network token (XRT) used for USD conversion

## 3. Step-by-step calculation

### Component A: Raw fee extraction
- **Purpose**: Extract and parse transaction fee data from Robonomics blockchain events
- **Logic**: Filter Robonomics blockchain events to include only `TransactionFeePaid` events. Parse the JSON event data to extract the base fee amount from the second data element and tip amount from the third data element. Convert both values from raw blockchain units (which use 9 decimal places) to proper token amounts by dividing by 1e9. Include block timestamp, transaction hash, and event index for tracking.
- **Key fields**: `amount` (base transaction fee), `tip` (additional tip paid), `block_timestamp` (transaction timing), `extrinsic_hash` (transaction identifier)

### Component B: Daily fee aggregation  
- **Purpose**: Aggregate individual transaction fees into daily totals
- **Logic**: Group all fee transactions by day using timestamp truncation. Sum the total fees for each day by adding the base `amount` and `tip` values together. Tag all records with 'robonomics' as the chain identifier and 'Robonomics Substrate' as the product identifier to maintain consistency with the broader metrics framework.
- **Key fields**: `fees` (daily total of amount plus tip), `timestamp` (daily boundary), `timestamp_grain` (set to 'day'), `chain_id`, `product_id`

### Component C: USD conversion
- **Purpose**: Convert daily fee totals from native XRT tokens to USD
- **Logic**: Join the daily XRT fee amounts with end-of-day price feeds from CoinGecko for the Robonomics Network token. Apply the conversion by multiplying the fee amounts by the corresponding USD price for each day. Preserve all dimensional fields including timestamp grain, chain identifier, and product identifier.
- **Key fields**: `fees` (now in USD), price data from CoinGecko using 'robonomics-network' identifier

### Component D: Revenue mapping
- **Purpose**: Map fee data to revenue metric
- **Logic**: Rename the `fees` field to `revenue` to reflect the business logic that transaction fees represent protocol revenue for Robonomics. This is a direct mapping since all fees collected by the network constitute revenue.
- **Key fields**: `revenue` (USD value of daily fees), maintaining all time and identifier dimensions

### Final aggregation
- **Combining components**: The components flow sequentially with each building on the previous step rather than being combined
- **Currency conversion**: USD conversion occurs using end-of-day CoinGecko price feeds for the Robonomics Network token, applied to daily aggregated fee amounts
- **Time aggregation**: Daily boundaries are established by truncating block timestamps to day precision, with all transactions within a day summed together
- **Final calculation**: Revenue equals the sum of transaction fees (base amount plus tips) converted to USD using daily exchange rates, representing total protocol revenue from user activity

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

fees * take_rate (illustrative — revenue is observed directly per project, not derived from take_rate)

Fee revenue retained after supply-side payouts. Before cost of revenue (e.g. L2 DA fees) and before operating expenses.

Robonomics NetworkXRT

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