Collators aggregate parachain transactions block candidates and producing state transition proofs for validators based on those blocks.

Acala is a specialized stablecoin and liquidity blockchain powered by Polkadot Relay chain.

ACA holders own and govern the protocol. Acala’s investors include Pantera Capital, Coinbase Ventures, and Polychain Capital.

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Blockchains (L2)

Acala Network

# Acala Network Active users (daily) Methodology

## 1. Overview

Active users (daily) measures the number of unique addresses that make a revenue-generating transaction with a project. For Acala Network, unique addresses executing transactions are quantified across both Acala Substrate and Acala EVM. Active users (daily) are calculated over a fixed 24-hour window to assess ecosystem adoption and user engagement.

## 2. Data sources

- **Blockchain events**: Native extrinsics and `Executed` events from `evm` pallets, covering Acala Substrate and Acala EVM

## 3. Step-by-step calculation

### Component A: Acala Substrate and Acala EVM user address extraction

- **Purpose**: Extract unique user addresses from native substrate extrinsics and EVM execution events
- **Logic**: User addresses are extracted from two distinct transaction pathways. For native substrate transactions, the sender address is obtained from the extrinsic identifier. For EVM transactions, the sender address is parsed from the first element of the event data array within `Executed` events emitted by the `evm` pallet. Extracted addresses are classified as transaction senders and mapped to their respective chain identifiers.
- **Key fields**: `block_timestamp`, `id`, `event_data`, `chain`

### Component B: Daily active user aggregation and filtering

- **Purpose**: Aggregate unique active users on a daily basis and apply data quality filters
- **Logic**: Transaction timestamps are truncated to day-level granularity. Distinct user addresses are aggregated by day, chain, and user type to determine the daily active user count. A chain availability filter is applied to restrict the dataset to approved and active timeframes, ensuring complete and reliable data coverage.
- **Key fields**: `timestamp`, `chain`, `user_type`, `user_address`

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

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

Acala NetworkACA

Archived

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown