Validators process transactions and receive fees from users (supply-side fees).

XPLA is a smart contract platform for decentralized applications (a blockchain). XPLA was founded by MetaMagnet Limited and launched in 2022.

XPLA holders own and govern the protocol. They currently do not take a cut of the total transaction fees paid by users (revenue).

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XPLA

# XPLA Active addresses (daily) Methodology

## 1. Overview

Active addresses daily for XPLA measures the number of unique addresses that initiated at least one transaction on the XPLA blockchain each day. This metric treats active users as equivalent to active addresses, providing a direct count of unique transaction senders per day. It serves as a fundamental measure of daily network activity and user engagement on the XPLA blockchain.

## 2. Data sources

- **XPLA blockchain transaction data**: Raw transaction records from the XPLA network processed by a blockchain scraper system
- **Daily active user aggregations**: Pre-processed daily counts of unique transaction sender addresses
- **Transaction sender addresses**: Unique addresses that initiated transactions on the XPLA blockchain

## 3. Step-by-step calculation

### Component A: Raw transaction sender extraction
- **Purpose**: Extract and standardize raw transaction sender data from XPLA blockchain
- **Logic**: The scraper system processes XPLA blockchain data to identify unique transaction sender addresses and their activity timestamps. Each record represents a daily count of active users (transaction senders) with associated metadata including chain identifier, market sector classification as layer-1 blockchain, and business segment classification as blockchain. The `amount` field contains the count of unique active users for each day.
- **Key fields**: `timestamp` (activity date), `chain` (set to 'xpla'), `user_type` (set to 'Transaction sender'), `amount` (count of unique active addresses)

### Component B: Daily active user aggregation
- **Purpose**: Aggregate transaction sender data into daily active users with multiple dimensional breakdowns
- **Logic**: Raw transaction sender data is processed and aggregated across three different dimensions. First, timestamps are truncated to daily granularity to ensure consistent daily boundaries. The data is then pivoted into three separate dimensional views: chain-level aggregation (grouping by XPLA chain), project-level aggregation (using project_dbt_tag dimension), and user-type aggregation (grouping by transaction sender type). Each dimensional breakdown preserves the daily `amount` value as `user_dau` while setting appropriate dimension identifiers.
- **Key fields**: `timestamp` (daily truncated), `dimensions` (chain/project_dbt_tag/user_type), `chain_id` (XPLA identifier), `user_dau` (daily active user count)

### Component C: Active addresses mapping
- **Purpose**: Convert daily active users to active addresses metric with specific dimensional filtering
- **Logic**: The daily active user data is filtered to include only chain-level and project-level dimensional breakdowns, excluding user-type breakdowns. The `user_dau` field is directly mapped to `active_addresses_daily`, treating active users as equivalent to active addresses for blockchain metrics. This reflects the business logic that unique transaction senders represent active addresses on the network.
- **Key fields**: `active_addresses_daily` (renamed from `user_dau`), `dimensions` (limited to 'chain' and 'project_dbt_tag'), `chain_id` (XPLA chain identifier)

### Final aggregation
- **Combining components**: The metric uses a direct mapping approach rather than complex aggregation, where daily active user counts are directly treated as active address counts
- **Time aggregation**: Daily boundaries are established through timestamp truncation to day-level granularity, ensuring consistent daily reporting periods
- **Gap filling**: Missing days are filled with zero values to maintain continuous time series data using the fill_zeros strategy
- **Final calculation**: The final active addresses daily value equals the count of unique transaction sender addresses for each day on the XPLA blockchain, with chain availability filters applied to ensure data quality and completeness

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

Unique active addresses over a fixed 24-hour window.

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Active addresses (daily)

Active addresses (daily)

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