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

NeuroWeb is a decentralized Artificial Intelligence blockchain powered by Polkadot Relay chain.

NEURO holders own and govern the protocol.

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NeuroWeb

# NeuroWeb Average fees per user (AFPU) Methodology

## 1. Overview

Average fees per user (AFPU) for NeuroWeb is calculated as the average amount of transaction fees paid per active user on a daily basis. Insight is provided into the monetary cost of user activity on the NeuroWeb blockchain ecosystem, which is operated as both a Layer 1 parachain and NeuroWeb EVM. Total daily fees collected across both layers are divided by the number of distinct active users, with values expressed in USD.

## 2. Data sources

- **Blockchain events**: `TransactionFeePaid` events from `transactionPayment` pallets, `Executed` events from `ethereum` pallets, and `Withdraw` and `Deposit` events from `balances` pallets, along with extrinsic records, covering NeuroWeb and NeuroWeb EVM
- **External data**: End-of-day price feeds for the NeuroWeb AI asset and asset metadata

## 3. Step-by-step calculation

### Component A: NeuroWeb Layer 1 fee collection

- **Purpose**: Transaction fees are extracted from Layer 1 parachain transactions.
- **Logic**: Blockchain events are filtered for the `transactionPayment` pallet and `TransactionFeePaid` method. `fee` and `tip` amounts are extracted from the event data array. These components are summed to determine the total Layer 1 transaction cost. Amounts are normalized by decimal precision.
- **Key fields**: `fee`, `tip`, `extrinsic_id`, `timestamp`

### Component B: NeuroWeb EVM fee collection

- **Purpose**: Transaction fees are extracted from NeuroWeb EVM transactions.
- **Logic**: EVM executions are identified through `ethereum` pallet `Executed` events to determine transaction signers. Corresponding balance `Withdraw` and `Deposit` events are identified from the `balances` pallet within the same extrinsic. The balance event signer is matched to the Ethereum execution signer using an account mapping table to ensure proper attribution. The `Withdraw` (positive) and `Deposit` (negative) amounts are netted per transaction to calculate the total fee. Amounts are normalized by decimal precision.
- **Key fields**: `fee`, `signer_address`, `extrinsic_id`, `event_method`

### Component C: Fee aggregation and USD conversion

- **Purpose**: Layer 1 and NeuroWeb EVM fees are combined and converted to USD.
- **Logic**: Layer 1 and NeuroWeb EVM fee records are combined by timestamp and extrinsic identifier. All fees are summed by day to determine total daily fee collection. Native asset amounts are converted to USD using end-of-day price feeds for the NeuroWeb AI asset.
- **Key fields**: `timestamp`, `fee`, `chain_id`

### Component D: Daily active user counting

- **Purpose**: Distinct users are counted across both Layer 1 and NeuroWeb EVM activity.
- **Logic**: User addresses are extracted from Layer 1 extrinsic senders and NeuroWeb EVM transaction signers. Timestamps are truncated to daily boundaries and distinct user addresses are counted. Data is aggregated across multiple dimensions including the project level, chain, and product.
- **Key fields**: `user_address`, `timestamp`, `chain`, `user_type`

### Component E: Final aggregation and calculation

- **Purpose**: The average fee per user is calculated.
- **Logic**: Total daily fees in USD are divided by the daily active user count. Data is aggregated to daily boundaries using timestamp truncation, with fees summed and users counted distinctly per day. The final calculation is expressed as AFPU = Total Daily Fees (USD) ÷ active users (daily), with missing days filled with zeros to maintain a continuous time series.

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

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Average fees per user (AFPU)

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