Users instruct the Bankr agent in chat. Bankr executes swaps on existing DEXs and launches new tokens via Whetstone's Doppler launchpad on canonical Uniswap V4. Launched tokens carry a 0.7% swap fee (95% to the token creator, 5% to Doppler). Bankr also operates paid Bankr Club subscriptions ($20/mo).

On Robinhood Chain, Bankr is the dominant token launcher: 10,936 tokens launched in the first two weeks via its Doppler launch hook, each paired against WETH on Uniswap V4.

Bankr (bankr.bot) is an AI trading agent on Farcaster, X, and web that lets users buy, sell, and launch tokens through natural-language chat, executing on-chain via account-abstraction wallets.

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# Bankr Active users (weekly) Methodology

## 1. Overview

Active users (weekly) is measured as the number of unique addresses that execute a swap transaction on Bankr. This metric is utilized to represent the weekly unique traders interacting with Bankr launch-pools, serving as a key indicator of user adoption and protocol activity. Unique traders are identified by extracting the transaction signers of swaps routed through Bankr-hooked pools. Active users (weekly) are aggregated over a 7-day rolling window to provide a standardized view of weekly engagement.

## 2. Data sources

- **Blockchain events**: `Initialize` and `Swap` events from `PoolManager` contracts, combined with native transaction data, covering Robinhood Chain

## 3. Step-by-step calculation

### Component A: Pool identification

- **Purpose**: Identify the liquidity pools associated with Bankr
- **Logic**: `Initialize` events from `PoolManager` contracts are filtered to isolate pools where the `hooks` parameter matches the Bankr hook address. A distinct list of Bankr pool identifiers is generated from this filtering process.
- **Key fields**: `id` (pool identifier), `hooks` (hook contract address)

### Component B: Swap transaction extraction

- **Purpose**: Capture swap transactions executed within Bankr pools
- **Logic**: `Swap` events from `PoolManager` contracts are filtered using the identified Bankr pool list. The transaction hashes of these swaps are extracted to isolate Bankr-related trading activity.
- **Key fields**: `id` (pool identifier), `transaction_hash` (transaction identifier)

### Component C: Trader address resolution

- **Purpose**: Identify the unique transaction signers (traders) for each swap
- **Logic**: The extracted swap transaction hashes are joined with native transaction data on Robinhood Chain. The transaction signer address is resolved from the `from_address` field of the transaction.
- **Key fields**: `transaction_hash` (transaction identifier), `from_address` (sender address)

### Component D: Weekly aggregation

- **Purpose**: Calculate the weekly count of unique active users
- **Logic**: Transaction signer addresses are truncated to weekly UTC boundaries. Distinct signer addresses are aggregated per 7-day window to calculate the active users (weekly) metric.
- **Key fields**: `block_timestamp` (timing), `signer` (resolved trader address)

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

Unique revenue-generating users over a rolling 7-day window.

BankrBNKR

Active users (weekly)

Active users (weekly)

Competitive landscape