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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# IoTeX Median transaction fee Methodology

## 1. Overview

The IoTeX transaction fee median metric measures the daily median transaction fee paid on the IoTeX blockchain, expressed in USD. This metric provides insight into the typical cost users pay for transactions, helping assess network accessibility and economic activity. The calculation processes all IoTeX transactions daily, computes individual transaction fees including both gas and blob gas components, and determines the median value using statistical approximation methods.

## 2. Data sources

- **IoTeX blockchain transaction data**: Raw transaction records from the IoTeX blockchain containing gas usage, gas prices, blob gas information, block timestamps, and transaction metadata
- **End-of-day token price feeds**: IOTX token pricing data used to convert native token fees to USD values

## 3. Step-by-step calculation

### Component A: Transaction fee calculation
- **Purpose**: Calculate the total fee paid for each IoTeX transaction
- **Logic**: Extract transaction data from IoTeX blockchain records and process gas fee information with EIP-1559 compatibility. For transactions before block 33730921 (Vanuatu upgrade), use the `gas_price` field. For transactions at or after this block, use the `receipt_effective_gas_price` field to handle EIP-1559 fee structure. Convert all gas price values from wei to IOTX by dividing by 10^18. Calculate total transaction fees by multiplying gas usage by effective gas price, then adding any blob gas fees calculated as blob gas usage multiplied by blob gas price. Handle missing or null values by treating them as zero.
- **Key fields**: `block_timestamp` for daily grouping, `gas_used` and `effective_gas_price` for standard gas fees, `blob_gas_used` and `blob_gas_price` for blob-related fees, `block_number` for EIP-1559 logic switching

### Component B: Daily median aggregation
- **Purpose**: Calculate the median transaction fee for each day
- **Logic**: Group all transaction fees by day using timestamp truncation to day boundaries. For each day, calculate the median fee amount using approximate quantiles method with 100 buckets, selecting the 50th percentile value to represent the median. This statistical approximation handles large transaction volumes efficiently while providing accurate median estimates.
- **Key fields**: `timestamp` truncated to daily boundaries, `fee_amount` aggregated using median calculation

### Final aggregation
- **Combining components**: The daily median fees calculated in IOTX are passed through USD conversion using end-of-day token price feeds
- **Currency conversion**: Convert median fee values from IOTX to USD using end-of-day IOTX price data, maintaining precision throughout the conversion process
- **Time aggregation**: Data is aggregated to daily boundaries with timestamp truncation, ensuring consistent daily reporting periods
- **Final calculation**: The final metric represents the median transaction fee in USD for each day, with zero-fill strategy applied for any missing data periods to maintain continuous time series

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

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