Node operators process transactions and receive token incentives. These independently owned high-spec node machines around the world are connected via Internet Computer Protocol (ICP), creating a self-sovereign network not reliant on any cloud services. Advanced cryptography allows any application or service to be run on the network in a decentralized manner via smart contracts.

The Internet Computer is a decentralized cloud blockchain, where apps can be built fully onchain, using AI, or by coding. Try caffeine.ai & icp.ninja.

ICP tokenholders own and govern the protocol. They currently take (burn) all of the total transaction fees paid by users (revenue). ICP Holders can stake their ICP on the Network Nervous System (NNS), an advanced fully on-chain DAO that facilitates liquid democracy. Staking ICP allows users to submit proposals, vote on proposals, and earn rewards for their participation in governance. Internet Computer's investors include Polychain, Scalar Capital, Amino Capital, etc.

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Internet Computer

# Internet Computer Total transaction fees Methodology

## 1. Overview

Total transaction fees represents the cumulative amount of ICP tokens burned as transaction fees on the Internet Computer network each day. This metric measures the total fee consumption across all network activity, providing insight into network usage and economic activity. The calculation processes daily aggregated fee burn data scraped from Internet Computer network statistics.

## 2. Data sources

The calculation relies on:
- **Scraped network statistics**: Daily aggregated statistics from Internet Computer network APIs containing ICP burned fees data
- **JSON-formatted daily data**: Structured daily statistics including fee burn amounts and timestamps
- **Data versioning**: Multiple scraper runs with insertion timestamps to ensure data freshness and handle updates

## 3. Step-by-step calculation

### Component A: Raw data extraction and parsing
- **Purpose**: Extract and parse daily ICP burned fees from scraped JSON statistics
- **Logic**: The system processes JSON-formatted network statistics containing daily aggregated data. It extracts the `day` timestamp and `icp_burned_fees` amount from nested JSON arrays within the daily statistics. Each record is tagged with the scraper insertion timestamp to track data freshness and enable deduplication of multiple scraper runs.
- **Key fields**: `day` timestamp for the fee period, `icp_burned_fees` containing the raw burn amount, and `inserted_at` for data versioning

### Component B: Data deduplication and quality control
- **Purpose**: Ensure only the most recent and accurate data is used for each day
- **Logic**: When multiple scraper runs exist for the same day, the system applies row numbering partitioned by timestamp and ordered by insertion time descending. This ensures that only the most recently scraped data for each day is selected, handling cases where the scraper runs multiple times or data is updated.
- **Key fields**: `row_number` for deduplication ranking, with only rank 1 records (most recent) being selected

### Final aggregation
- **Combining components**: The deduplicated daily fee data flows directly to the final metric calculation without additional joins or combinations
- **Currency conversion**: Raw ICP amounts are converted from the smallest network units to whole ICP tokens by dividing by 10^8 (8 decimal places), as ICP uses 8 decimal precision
- **Time aggregation**: Data is already aggregated daily at the source level, with each record representing total fees burned on that specific day
- **Final calculation**: The metric represents the daily total of ICP tokens burned as transaction fees, converted to proper decimal representation and formatted according to Token Terminal's standardized metric schema with appropriate chain identification and business segment classification

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

Total ICP burned through transaction fees.

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Total transaction fees

Total transaction fees

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