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 Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average daily fees generated per active user in Bankr launch pools on Robinhood Chain. It is calculated by dividing the total daily fees collected in Bankr pools by the number of unique daily active users. For Bankr this is the primary per-user monetization view, since revenue is zero (the 0.7% fee is split entirely between token creators and the Doppler protocol) and ARPU is zero by construction.

## 2. Data sources

The calculation relies on the following data sources:
- **Bankr fees metric**: The finalized daily fees metric, computed as 0.7% of the WETH-leg notional of swaps in WETH-paired Bankr launch pools, converted to USD (see the fees methodology)
- **Bankr daily active users**: The daily distinct count of transaction signers of swaps in Bankr hook pools, derived from Uniswap V4 swap events joined to standardized Robinhood Chain transactions (see the DAU methodology)
- **End-of-day price feeds**: Token Terminal's daily WETH price on Robinhood Chain, inherited from the fees metric for USD conversion

## 3. Step-by-step calculation

### Component A: Daily fee input
- **Purpose**: Provides the numerator of the AFPU calculation
- **Logic**: Reads the finalized Bankr fees metric, which applies the flat 0.7% fee rate (verified uniform across Bankr pools on-chain) to the daily WETH swap notional in WETH-paired Bankr launch pools, with decimal correction and USD conversion applied
- **Key fields**: Daily `fees` values in USD

### Component B: Daily active user input
- **Purpose**: Provides the denominator of the AFPU calculation
- **Logic**: Reads the daily active user counts, defined as distinct transaction signers of swaps in all Bankr hook pools. Signers are used because the V4 Swap event's `sender` is the router; roughly 98% of swaps are direct EOA transactions, so the signer is the trader. Note a scope asymmetry between the two inputs: fees cover WETH-paired hook pools only (non-WETH pools have no reliably priceable leg), while users cover all hook pools, so AFPU slightly understates fees per fee-generating user
- **Key fields**: Daily `user_dau` counts

### Component C: Per-user division
- **Purpose**: Computes fees per active user
- **Logic**: The `calculate_arpu` macro aligns the fee and user series by day and divides daily fees in USD by daily active users, producing the AFPU value for each day
- **Key fields**: Daily `afpu` as fees divided by user count

### Final aggregation
- **Combining components**: The daily quotient series flows through the `finalize_metric_afpu` macro, which applies schema validation and consistent field naming
- **Currency conversion**: Already applied upstream; fees are converted to USD using end-of-day WETH prices
- **Time aggregation**: Both numerator and denominator use daily boundaries, ensuring consistent time alignment between fee totals and user counts
- **Final calculation**: AFPU equals total daily fees in USD divided by unique daily active users, with missing days filled with zeros to maintain a continuous daily series

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

BankrBNKR

Average fees per user (AFPU)

Average fees per user (AFPU)

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