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Seamless Protocol

# Seamless Protocol Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for Seamless Protocol measures the count of unique wallet addresses that interact with the protocol's lending services each day. This metric tracks user engagement across all lending activities including deposits, withdrawals, borrowing, repayments, flash loans, and liquidations on the Base blockchain. The calculation identifies distinct users per day regardless of how many transactions they perform or which specific lending functions they use.

## 2. Data sources

The metric uses the following raw data sources:
- **Blockchain event logs**: Parsed events from the Seamless Protocol LendingPool contract deployed on Base chain
- **Lending events**: Six specific event types capturing all user interactions with the lending protocol - `Borrow`, `FlashLoan`, `Repay`, `Supply`, `Withdraw`, and `LiquidationCall` events
- **Transaction data**: Base blockchain transaction records containing timestamps, transaction hashes, and block information
- **Event parameters**: User addresses extracted from event logs using different parameter fields depending on the interaction type

## 3. Step-by-step calculation

### Component A: User activity extraction
- **Purpose**: Extract all user addresses from Seamless Protocol lending interactions on Base chain
- **Logic**: Parse six types of lending events from the protocol's smart contract logs. For each event type, extract the relevant user address from the appropriate parameter field - `user` field for most events (`Borrow`, `Repay`, `Supply`, `Withdraw`, `LiquidationCall`) and `initiator` field for `FlashLoan` events. Map each event to a specific user type classification: Borrower (for `Borrow` and `FlashLoan`), Repayer (for `Repay`), Depositor (for `Supply`), Withdrawer (for `Withdraw`), and Liquidator (for `LiquidationCall`). Include blockchain metadata such as block timestamp and transaction hash for each interaction.
- **Key fields**: `user_address` (the wallet performing the action), `user_type` (role classification), `block_timestamp` (when the interaction occurred), `transaction_hash` (unique transaction identifier)

### Component B: Activity classification and standardization
- **Purpose**: Standardize all lending activities under consistent business categorization
- **Logic**: Classify all user interactions under the 'lending' market sector and business segment since Seamless Protocol is purely a lending protocol. Set the chain identifier as 'base' for all activities. Include additional metadata fields for business reporting and analysis purposes while maintaining transaction-level granularity.
- **Key fields**: `chain` (blockchain identifier), `market_sector_id` (set to 'lending'), `business_segment_id` (set to 'lending'), `product_id` (null for base protocol)

### Final aggregation
- **Combining components**: Union all user activity records from the six event types into a single dataset, creating a comprehensive view of all protocol interactions
- **Time aggregation**: Truncate block timestamps to day-level boundaries using timestamp truncation, grouping all activities within each 24-hour period
- **Daily user counting**: Apply distinct aggregation on user addresses within each day to count unique active users, ensuring that users who perform multiple transactions or different types of interactions on the same day are counted only once
- **Final calculation**: The DAU metric represents the count of distinct wallet addresses that performed at least one lending protocol interaction (deposit, withdrawal, borrow, repay, flash loan, or liquidation) on each given day

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

Unique revenue-generating users over a fixed 24-hour window.

Seamless ProtocolSEAM

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown