Steakhouse earns performance fees on the yield generated within their curated vaults. Depositors supply capital to Steakhouse-curated vaults, which deploy it into selected lending markets. The curator fee is taken as a percentage of gross vault yield, with the remainder passed through to depositors as supply-side fees.

Steakhouse Financial operates as a risk curator, offering vault products across multiple DeFi lending protocols. They curate yield strategies for institutional and retail depositors, managing risk parameters, collateral selection, and allocation across vaults.

Steakhouse Financial is a blockchain-focused financial services company that provides institutional-grade DeFi infrastructure and advisory services for the emerging stablecoin economy.

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Risk curators

Steakhouse Financial

# Steakhouse Financial Active users (monthly) Methodology

## 1. Overview

Active users (monthly) measures the number of unique addresses that make a revenue-generating transaction with a project, i.e. An application or a blockchain. Active users (monthly) are measured over a 30-day rolling window. For Steakhouse Financial, user interactions are captured across both Morpho Vault Curation and Kamino Vault Curation products. By tracking unique depositors and withdrawers monthly, the protocol's active user base and transaction frequency are evaluated.

## 2. Data sources

- **Blockchain events**: `Deposit` and `Withdraw` events from `MetaMorphoVault` and `VaultV2` contracts, and `Deposit`, `Withdraw`, and `WithdrawFromAvailable` from `KaminoVault` programs, covering Solana, Ethereum, Base, Arbitrum, and 13 other chains

## 3. Step-by-step calculation

### Component A: Morpho Vault Curation user tracking

- **Purpose**: Extract unique user addresses interacting with Steakhouse Financial curated Morpho vaults
- **Logic**: `Deposit` and `Withdraw` events are parsed from `MetaMorphoVault` and `VaultV2` contracts. For deposit events, the user address is extracted from the sender field. For withdraw events, the user address is extracted from the receiver field. These events are filtered to include only vaults managed by Steakhouse Financial, which are identified by matching vault addresses against a registry of curated vaults. The user interactions are classified as either depositors or withdrawers.
- **Key fields**: `user_address`, `event_type`, `vault_address`

### Component B: Kamino Vault Curation user tracking

- **Purpose**: Extract unique user accounts interacting with Steakhouse Financial curated Kamino vaults
- **Logic**: `Deposit`, `Withdraw`, and `WithdrawFromAvailable` are parsed from `KaminoVault` programs on Solana. For all three instruction types, the user account is extracted from the user field. These instructions are filtered to include only vaults managed by Steakhouse Financial, which are identified by matching vault accounts against a registry of curated vaults. The user interactions are classified as either depositors or withdrawers.
- **Key fields**: `user_address`, `event_type`, `vault_address`

### Component C: Monthly active user aggregation

- **Purpose**: Aggregate unique active users monthly
- **Logic**: The unique user addresses from both Morpho Vault Curation and Kamino Vault Curation are combined. The total number of unique active users (monthly) is calculated by taking the distinct count of user addresses per 30-day window, chain, and product. Monthly boundaries are defined using UTC timestamps.
- **Key fields**: `timestamp`, `chain`, `product_id`, `user_mau`

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

Unique revenue-generating users over a rolling 30-day window.

Steakhouse Financial

Active users (monthly)

Active users (monthly)

Competitive landscape

Chain breakdown