Liquidity providers deposit funds into Everclear and receive transfer fees from users (supply-side fees).

Everclear is a cross-chain liquidity network that enables fully non-custodial transfers between EVM-compatible chains and L2 systems. Everclear was co-founded by  Arjun Bhuptani, Rahul Sethuram, and Layne Haber and launched in 2021.

Everclear team & investors own and govern the protocol. They do not currently take a cut of the total transfer fees paid by users (revenue).

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Everclear

# Everclear Supply-side fees Methodology

## 1. Overview

Supply-side fees represent the total fees earned by liquidity providers and the Connext protocol from bridge transfers and automated market maker (AMM) swaps. This metric captures revenue generated from three sources: Connext V1 bridge transactions, Connext V2 (Amarok) bridge transactions, and AMM token swaps. The calculation applies protocol-specific fee rates to transaction volumes and aggregates them daily in USD.

## 2. Data sources

This metric relies on multiple blockchain event logs and supporting data:
- **Bridge transaction events**: Parsed `TransactionPrepared` events from Connext V1 contracts across Arbitrum, Avalanche, BSC, Ethereum, Fantom, Gnosis, Optimism, and Polygon networks, capturing cross-chain transfer details including asset addresses and amounts
- **V2 bridge events**: Parsed `XCalled` events from Connext V2 (Amarok) contracts across Ethereum, Arbitrum, Optimism, Gnosis, BSC, and Polygon, containing origin/destination domains and bridged amounts
- **AMM swap events**: Parsed `TokenSwap` events from Connext AMM contracts on Arbitrum, BSC, Gnosis, Optimism, and Polygon, recording trading volumes and pool identifiers
- **Transaction validation data**: Parsed `TransactionFulfilled` events used to validate completed V1 bridge transactions
- **AMM configuration events**: Parsed `SwapInitialized` events containing fee tier configurations for AMM pools
- **End-of-day price feeds**: Token price data for USD conversion of fee amounts
- **Token metadata**: Token contract addresses, symbols, and decimal specifications for proper amount calculations

## 3. Step-by-step calculation

### Component A: V1 bridge fees
- **Purpose**: Calculate fees from Connext V1 cross-chain bridge transactions
- **Logic**: Extract `TransactionPrepared` events across eight blockchain networks, filtering for transactions that have corresponding `TransactionFulfilled` events to ensure completion. Parse transfer details including sending and receiving asset addresses, chain identifiers, and transfer amounts. Convert null token addresses to their respective wrapped asset equivalents (WETH for Ethereum/Arbitrum/Optimism, WXDAI for Gnosis). Apply a fixed fee rate of 0.05% to the transfer amount on the destination chain
- **Key fields**: Transaction identifiers, origin and destination chain information, asset addresses (`sendingAssetId`, `receivingAssetId`), transfer amounts, and block timestamps for daily aggregation

### Component B: V2 Amarok bridge fees  
- **Purpose**: Calculate fees from Connext V2 (Amarok) cross-chain bridge transactions
- **Logic**: Process `XCalled` events from V2 contracts, extracting origin domain, destination domain, asset addresses, and bridged amounts. Map domain identifiers to readable chain names using predefined mappings. Replace nextToken addresses with alternative standard token addresses to enable proper price lookups. Apply the standard 0.05% protocol fee rate to the bridged amount, which represents the fee portion of the transaction
- **Key fields**: Domain identifiers (`originDomain`, `destinationDomain`), asset addresses, bridged amounts (`bridgedAmt`), and transaction metadata for fee calculations

### Component C: AMM swap fees
- **Purpose**: Calculate fees from automated market maker token swaps within Connext pools
- **Logic**: Collect `TokenSwap` events containing pool identifiers and traded amounts (`tokensSold`). Join with AMM fee tier configuration data based on pool key identifiers and transaction dates. Retrieve both swap fee tiers and admin fee tiers for each pool, correcting decimal places by dividing raw tier values by 10^10. Calculate total fees by multiplying the traded amount by the sum of swap fee tier and admin fee tier. Forward-fill missing fee tier data to handle gaps in configuration
- **Key fields**: Pool key identifiers, traded amounts, swap fee tiers, admin fee tiers, and token addresses for each AMM pool

### Final aggregation
- **Combining components**: Union all three fee components (V1 bridge, V2 Amarok, AMM) into a single dataset with standardized schema including timestamp, chain identifier, market sector, and business segment classifications
- **Currency conversion**: Convert all fee amounts to USD using end-of-day token price feeds, applying appropriate decimal corrections based on token specifications to ensure accurate dollar values
- **Time aggregation**: Aggregate fees daily using timestamp truncation, grouping by date, chain, market sector, business segment, and token to create daily totals
- **Final calculation**: Sum all fee components for each day-chain-token combination, forward-fill missing data points where specified, and apply the standard metric finalization process to ensure consistent schema and data quality validation

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

Portion of fees distributed to service providers or supply-side participants.

EverclearCLEAR

Supply-side fees

Supply-side fees

Competitive landscape

Chain breakdown