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.

github

twitter

discord

website

Blockchains (L1)

Internet Computer

# Internet Computer Total internet identities Methodology

## 1. Overview

Total Internet Identities measures the cumulative number of unique Internet Identity users on the Internet Computer blockchain over time. Internet Identity is Internet Computer's native authentication system that allows users to create cryptographic identities without traditional usernames and passwords. This metric tracks the total adoption and growth of this authentication system, providing insights into user onboarding and ecosystem growth. The calculation aggregates daily user counts from Internet Computer's native statistics API.

## 2. Data sources

The metric relies on the following data sources:
- **Internet Computer API statistics**: Daily statistics from Internet Computer's native blockchain API endpoints that provide system-level metrics
- **External scraper data**: A scraping service that regularly collects daily statistics from Internet Computer's API endpoints and stores them as JSON payloads
- **Daily user count data**: Specifically the `internet_identity_user_count` field from the daily statistics, representing the total number of Internet Identity users as of each day

## 3. Step-by-step calculation

### Component A: Raw data extraction and parsing
- **Purpose**: Extract daily Internet Identity user counts from scraped JSON data
- **Logic**: The system processes JSON payloads containing daily statistics from Internet Computer's API. Each payload contains a `daily_stats` array with multiple daily records. For each record, the system extracts the `day` timestamp and the `internet_identity_user_count` value. The `day` field is converted from a JSON string to a proper timestamp, while the user count is cast to a numeric value. Each record is tagged with 'internetcomputer' as the chain identifier and 'day' as the timestamp granularity.
- **Key fields**: `day` (timestamp of the measurement), `internet_identity_user_count` (total number of Internet Identity users), `inserted_at` (when the data was scraped and stored)

### Component B: Data deduplication and latest value selection
- **Purpose**: Ensure each day has only one record by selecting the most recently scraped data
- **Logic**: Since the scraper may collect data multiple times for the same day (due to API updates or re-scraping), the system applies deduplication logic. For each unique day timestamp, it assigns row numbers based on the `inserted_at` field in descending order, meaning the most recently inserted record gets row number 1. Only records with row number 1 are retained, ensuring each day has exactly one Internet Identity user count value - specifically the most up-to-date value available.
- **Key fields**: `timestamp` (the day being measured), `amount` (the deduplicated Internet Identity user count)

### Final aggregation
- **Combining components**: The deduplicated daily user counts flow directly into the final metric calculation without additional joining or summing, as each day already represents a cumulative total
- **Currency conversion**: No currency conversion is needed as this metric measures user counts, not financial values
- **Time aggregation**: The metric maintains daily granularity with no further time-based aggregation. The `finalize_metric_total_internet_identities` macro applies forward-filling to ensure no gaps exist in the daily time series
- **Final calculation**: The final metric value for each day is the total number of Internet Identity users as reported by Internet Computer's API, with forward-filling applied to handle any missing days and chain availability filters applied to restrict data to periods when Internet Computer data collection was active

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

Total number of created Internet Identity accounts.

Internet ComputerICP

Total internet identities

Total internet identities

Competitive landscape