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

Phala is a specialized privacy-preserving cloud computing blockchain powered by Polkadot Relay chain.

PHA holders own and govern the protocol. Phala’s investors include IOSG Ventures, Incuba Alpha, Candaq Fintech Group, and others.

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Blockchains (L2)

Phala

# Phala Active users (daily) Methodology

## 1. Overview

The Phala daily active users (DAU) metric measures the number of unique user addresses that performed at least one extrinsic (transaction-like operation) on the Phala blockchain each day. This metric provides insight into daily user engagement and adoption of the Phala network. The calculation counts distinct user addresses per day, ensuring each user is counted only once regardless of how many operations they performed.

## 2. Data sources

The metric relies on a single primary data source:
- **Phala blockchain extrinsic records**: Raw blockchain data containing all extrinsic operations submitted to the Phala network, including user addresses and block timestamps for when operations were included in blocks

## 3. Step-by-step calculation

### Component A: User identification and classification
- **Purpose**: Identify all user addresses that performed operations on the Phala blockchain
- **Logic**: Extract user addresses from Phala extrinsic records by using the `id` field from each extrinsic as the user address. All users are classified as "Transaction sender" type since they represent addresses that initiated operations on the network. The process includes casting the `block_timestamp` to ensure proper temporal ordering and adding project metadata including chain identifier, market sector classification, and business segment assignment.
- **Key fields**: `id` field becomes `user_address`, `block_timestamp` for temporal grouping, chain identifier set to 'phala', market sector set to 'blockchains_l2', and business segment set to 'blockchain'

### Component B: Daily aggregation and deduplication  
- **Purpose**: Group user activity by day and count distinct users
- **Logic**: Truncate the `block_timestamp` to daily granularity using day-level timestamp truncation, creating daily time boundaries. Within each day, apply distinct counting to the user addresses to ensure each unique address is counted only once regardless of how many extrinsics they submitted. This eliminates duplicate counting of users who performed multiple operations in the same day.
- **Key fields**: Truncated `timestamp` for daily grouping, `user_dau` representing the distinct user address count

### Final aggregation
- **Combining components**: The final result combines the user identification with daily aggregation in a single operation, where distinct user addresses are counted per day
- **Currency conversion**: No currency conversion required as this is a count-based metric
- **Time aggregation**: Daily boundaries are established using timestamp truncation to day granularity, with incremental processing supporting lookback periods for data quality
- **Final calculation**: The metric value represents the count of distinct user addresses that performed at least one extrinsic operation on the Phala blockchain within each calendar day, with chain availability filtering applied to ensure data consistency

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

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

PhalaPHA

Archived

Active users (daily)

Active users (daily)

Competitive landscape

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