# Hyperbridge Substrate Number of validators Methodology

## 1. Overview

Number of validators measures the number of active nodes that produce blocks and secure the network. It reflects the degree of decentralization and resilience of the blockchain. For Hyperbridge Substrate, this metric identifies the unique block producers, often referred to as collators, that are active during a given time interval. Monitoring the count of these entities provides insight into the stability and distributed security of the Hyperbridge Substrate infrastructure.

## 2. Data sources

- **Blockchain events**: Block production data and author identifications from Hyperbridge Substrate
- **External data**: Network migration metadata for historical adjustments

## 3. Step-by-step calculation

### Component A: Block author extraction

- **Purpose**: Identify the unique entities responsible for block production.
- **Logic**: Block metadata is parsed from Hyperbridge Substrate to extract the `author_id` associated with every block. The block timestamp and block height are used to organize these identifications into chronological order. The `author_id` serves as the primary identifier for the validator or collator responsible for the successful production of a block.
- **Key fields**: `author_id`, `block_timestamp`

### Component B: Distinct validator counting and migration adjustment

- **Purpose**: Calculate the daily active validator set while adjusting for specific network events.
- **Logic**: A distinct count of unique `author_id` values is performed for each UTC day. A specific adjustment is applied for March 17th, 2025, where the raw count of distinct authors is divided by two. This adjustment is performed to account for a migration of validator addresses, ensuring that the count reflects the actual number of active nodes rather than the number of active signing keys during the transition.
- **Key fields**: `timestamp`, `raw_count`

### Component C: Metric finalization and fill-forward

- **Purpose**: Ensure a consistent and continuous time series for institutional reporting.
- **Logic**: The data is processed to ensure all identifiers and timestamp grains are aligned with standard reporting schemas. To maintain a continuous data set, a fill-forward strategy is applied. If a specific day lacks block production data, the count from the most recent available day is carried forward. Final values are averaged when viewed at higher time-series granularities to provide a representative view of network activity.

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

Number of active validators securing the network.

Number of validators

Blockchains (L1)

Build once, connect everywhere. Hyperbridge gives developers the secure infrastructure to scale applications across any network.

Hyperbridge Substrate

Archived

Number of validators

Number of validators

Chain breakdown