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 users (daily) Methodology

## 1. Overview

The XPLA Daily Active Users (DAU) metric measures the number of unique addresses that initiated transactions on the XPLA blockchain each day. This metric provides insight into daily user engagement and network activity by counting distinct transaction senders. The calculation uses pre-aggregated daily counts from the XPLA scraper service and presents the data across multiple dimensional breakdowns for comprehensive analysis.

## 2. Data sources

- **XPLA blockchain transaction data**: Pre-processed daily active user counts derived from XPLA blockchain transaction records
- **Scraper service data**: Aggregated daily counts of unique transaction senders processed by the XPLA data scraper service
- **Transaction sender identification**: Logic to identify and count unique addresses that initiated transactions on each day

## 3. Step-by-step calculation

### Component A: Raw transaction sender data extraction
- **Purpose**: Retrieves pre-calculated daily active user counts from the XPLA scraper service
- **Logic**: Extracts daily aggregated counts where each count represents the number of unique addresses that sent transactions on XPLA on a given day. The data includes `timestamp` for the day, `amount` field containing the DAU count, and consistent metadata assignment
- **Key fields**: `timestamp` truncated to day level, `amount` containing the daily active user count, `chain` set to 'xpla', `user_type` set to 'Transaction sender'

### Component B: Dimensional breakdown creation
- **Purpose**: Creates multiple views of the same DAU data across different dimensional cuts
- **Logic**: Takes the raw transaction sender data and creates three separate dimensional breakdowns: project-level aggregation (overall XPLA DAU), chain-level breakdown (XPLA as single chain), and user-type breakdown (Transaction sender category). Each breakdown maintains the same DAU values but with different dimension indicators
- **Key fields**: `dimensions` field indicating breakdown type ('project_dbt_tag', 'chain', 'user_type'), `chain_id`, `product_id`, `user_type` populated based on dimension, `user_dau` containing the count

### Component C: Breakdown combination
- **Purpose**: Combines all dimensional breakdowns into a unified dataset
- **Logic**: Uses union operations to combine project-level, chain-level, and user-type breakdowns into a single table. Each row represents the same underlying DAU count but tagged with different dimensional metadata for flexible analysis
- **Key fields**: All previous fields maintained with appropriate null values for unused dimensions in each breakdown

### Final aggregation
- **Combining components**: All dimensional breakdowns are unioned together to create a comprehensive dataset with multiple analytical perspectives of the same DAU metric
- **Schema standardization**: The `finalize_metric_user_dau` macro applies consistent schema structure, sets `data_id` to 'xpla', and implements a 'fill_zeros' strategy for missing days
- **Time boundaries**: Daily time grain with missing days filled with zero values to ensure continuous time series
- **Final calculation**: The final metric value is the daily count of unique transaction senders on XPLA, presented across multiple dimensional cuts for comprehensive analysis and reporting flexibility

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

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

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Active users (daily)

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