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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Blockchains (L1)

Internet Computer

# Internet Computer Transactions per second Methodology

## 1. Overview

The transactions per second metric for Internet Computer measures the average rate of message execution on the network per day. This metric captures the blockchain's throughput capacity by tracking the average number of messages (transactions) processed per second during each 24-hour period. The calculation uses pre-aggregated daily statistics from Internet Computer's network monitoring systems rather than counting individual transactions, providing a network-level performance indicator.

## 2. Data sources

The calculation relies on the following data sources:

- **Internet Computer network statistics**: Daily blockchain performance metrics collected by Internet Computer's monitoring infrastructure
- **Scraper data**: JSON-formatted statistics containing aggregated network performance data including average message execution rates
- **Daily statistics feeds**: Time series data with daily granularity showing network throughput metrics

## 3. Step-by-step calculation

### Component A: Raw data extraction and parsing
- **Purpose**: Extract daily transaction rate statistics from JSON-formatted scraper data
- **Logic**: The system processes raw statistics data containing nested JSON arrays with daily performance metrics. Each record contains a `daily_stats` array with individual day entries including `day` timestamps and `average_transactions_per_second` values. The JSON parsing extracts these nested values and converts timestamp strings to proper timestamp format for time series analysis.
- **Key fields**: `day` timestamp for daily boundaries, `average_transactions_per_second` for the core metric value, `inserted_at` for data freshness tracking

### Component B: Data deduplication and quality control
- **Purpose**: Handle multiple scraper runs and select the most recent data for each day
- **Logic**: Since the scraper may run multiple times and insert duplicate or updated data for the same day, the system applies deduplication logic. For each unique day timestamp, records are ranked by their `inserted_at` timestamp in descending order, and only the most recently inserted record is selected. This ensures data freshness and prevents double-counting from multiple scraper executions.
- **Key fields**: `inserted_at` for determining data recency, `row_number` for ranking records by freshness

### Final aggregation
- **Combining components**: The cleaned daily transaction rate data flows into Token Terminal's standard metric finalization process
- **Metric standardization**: The `finalize_metric_transactions_per_second` macro applies standard business classifications including `chain_id` as 'internetcomputer', `business_line` as 'Blockchain', `market_sector_id` as 'blockchains_l1', and `business_segment_id` as 'blockchain'
- **Time series continuity**: A forward-fill strategy is applied to handle any missing days in the time series, ensuring continuous metric availability
- **Final calculation**: The metric value is the daily average transactions per second as reported by Internet Computer's network statistics, with no additional mathematical transformations applied to the underlying execution rate data

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

Average confirmed user transactions added per second.

Internet ComputerICP

Transactions per second

Transactions per second

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