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Blockchains (L2)

peaq

# peaq Transaction count Methodology

## 1. Overview

The Peaq transaction count metric measures the daily number of unique transactions executed across the Peaq blockchain ecosystem. This metric captures both native Peaq blockchain transactions (extrinsics) and Ethereum Virtual Machine (EVM) compatible transactions, providing a comprehensive view of network activity. The calculation aggregates distinct transactions by day to track network usage and adoption trends.

## 2. Data sources

The metric relies on the following raw blockchain data sources:

- **Native Peaq extrinsics**: Raw extrinsic records from the Peaq blockchain representing standard network transactions and operations
- **Peaq blockchain event logs**: Event logs from Peaq blockchain blocks, specifically filtering for Ethereum Virtual Machine execution events
- **Block timestamp data**: Temporal information from Peaq blockchain blocks to enable daily aggregation and time-series analysis

## 3. Step-by-step calculation

### Component A: Native peaq transactions
- **Purpose**: Captures standard Peaq blockchain transactions through native extrinsic records
- **Logic**: Extracts extrinsic records from Peaq blockchain data, casting the `block_timestamp` to timestamp format and preserving the original `extrinsic_id` as the unique transaction identifier. Assigns `chain_id` as 'peaq' to distinguish from EVM transactions.
- **Key fields**: `block_timestamp` for temporal aggregation, `extrinsic_id` for unique transaction identification, and `chain_id` for network classification

### Component B: EVM transactions on Peaq
- **Purpose**: Captures Ethereum Virtual Machine compatible transactions executed on the Peaq network
- **Logic**: Filters blockchain event logs to identify EVM transaction executions by selecting events where `event_pallet` equals 'ethereum' and `event_method` equals 'Executed'. Creates unique transaction identifiers by concatenating `extrinsic_id` with `event_index` to handle multiple EVM events within a single extrinsic. Assigns `chain_id` as 'Peaq EVM' to distinguish from native transactions.
- **Key fields**: `block_timestamp` for temporal aggregation, concatenated `extrinsic_id` and `event_index` for unique identification, and `chain_id` for EVM transaction classification

### Component C: Transaction unification
- **Purpose**: Combines native and EVM transactions into a unified dataset for comprehensive counting
- **Logic**: Uses a union operation to merge native Peaq extrinsics with filtered EVM execution events, creating a complete view of all transaction activity across the Peaq ecosystem while maintaining distinct identifiers and chain classifications.
- **Key fields**: Unified `block_timestamp`, `extrinsic_id` (native or concatenated), and `chain_id` fields across both transaction types

### Final aggregation
- **Combining components**: All unified transactions are grouped by day using timestamp truncation to daily boundaries
- **Time aggregation**: Block timestamps are truncated to day granularity using `timestamp_trunc` function, creating daily aggregation periods
- **Transaction counting**: Applies `count(distinct extrinsic_id)` to count unique transactions per day, ensuring no double-counting across the combined dataset
- **Metadata assignment**: Adds classification metadata including 'blockchains_l2' as `market_sector_id`, 'blockchain' as `business_segment_id`, and null `product_id`
- **Schema validation**: Applies the `finalize_metric_transaction_count` macro with 'fill_zeros' strategy to validate data schema, fill missing days with zero transaction counts, and ensure complete time series
- **Incremental processing**: Implements incremental updates with configurable lookback period to handle late-arriving blockchain data and maintain data quality
- **Final calculation**: The daily transaction count represents the total number of distinct transactions (both native and EVM) executed on the Peaq network each day

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

Confirmed transactions added to the blockchain.

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Transaction count

Transaction count

Competitive landscape

Chain breakdown