IoTeX is the blockchain platform for Real-World AI. Since 2017, its foundational infrastructure has delivered verified, real-time data from the real world to AI systems and decentralized applications. Powering 100+ projects and 40M devices across mobility, robotics, energy, health, and more, IoTeX enables developers to build next-gen AI models and applications that deliver real-world impact. The IoTeX tech stack provides the data, identity, and verification layers to fulfill the surging demand for real-world data in the new AI era. Trusted by partners like Google, Samsung, IEEE, ARM, and Nordic Semiconductor, IoTeX is uniquely positioned to capture the multi-trillion-dollar AI and data economy.

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Blockchains (L1)

IoTeX

# IoTeX Active users (daily) Methodology

## 1. Overview

Active users (daily) is calculated as the number of unique addresses from which transactions are initiated on the IoTeX L1 Blockchain. Active users (daily) are measured over a fixed 24-hour window using UTC boundaries. This metric is utilized to analyze network adoption, user engagement, and overall activity on the blockchain. Distinct transaction senders are identified and aggregated daily to provide a representation of active participation.

## 2. Data sources

- **Blockchain events**: Transaction records from the IoTeX L1 Blockchain, covering IoTeX

## 3. Step-by-step calculation

### Component A: User identification

- **Purpose**: Identifies unique transaction senders on the IoTeX L1 Blockchain
- **Logic**: Transaction records are parsed to extract the sender address (`from_address`) for each transaction. Sender addresses are normalized to lowercase to ensure consistent deduplication. Each sender is classified with the user type "Transaction sender", and associated with the "blockchains_l1" market sector and "blockchain" business segment.
- **Key fields**: `from_address` (normalized to `user_address`), `block_timestamp`, `transaction_hash`, `chain`, `user_type`

### Component B: Daily aggregation and filtering

- **Purpose**: Aggregates unique addresses into daily active user counts
- **Logic**: Transaction timestamps are truncated to daily boundaries. Unique user addresses are aggregated per day to determine the active users (daily). Chain availability filters are applied to ensure data consistency and quality.
- **Key fields**: `timestamp` (truncated to day), `user_address` (as `user_dau`), `chain`

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

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

IoTeXIOTX

Archived

Active users (daily)

Active users (daily)

Competitive landscape