Validators process transactions and receive validator rewards (supply-side fees).

NEAR Protocol is a smart contract platform for decentralized applications (a blockchain). NEAR Protocol was founded by Alexander Skidanov & Ilya Polosukhin and launched in 2017.

NEAR holders own and govern the protocol. They currently take (burn) all of the total transaction fees paid by users (revenue). NEAR Protocol's investors include a16z, Pantera Capital, Libertus, etc.

governance

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Blockchains (L1)

NEAR Protocol

# near Contracts Deployed Methodology

## 1. Overview

Contracts Deployed measures the total number of unique smart contracts initialized on the near network. This metric serves as a primary indicator of developer activity and the growth of the programmatic ecosystem on the blockchain. By tracking the frequency of new contract deployments, the expansion of the decentralized application (dApp) landscape is quantified over time.

## 2. Data sources

- **Blockchain events**: Contract deployment records from the near blockchain

## 3. Step-by-step calculation

### Component A: Extraction of unique contract creations

- **Purpose**: Identify and isolate unique contract deployment instances on the network.
- **Logic**: Data is retrieved from near blockchain records specifically identifying contract accounts. Distinct entries are filtered based on the contract account address, the deployer address, and the creation timestamp. This deduplication ensures that each unique contract is only counted once at the moment of its initial deployment.
- **Key fields**: `creation_timestamp`, `contract_address`, and `deployer_address`.

### Component B: Daily aggregation and normalization

- **Purpose**: Group deployment data into a daily time series with standardized dimensions.
- **Logic**: The count of unique contract addresses is aggregated by day using UTC boundaries. Timestamps are truncated to the start of each day to provide a consistent daily granularity. The data is categorized under the relevant market sector and business segment identifiers for the near blockchain.

### Component C: Data finalization and gap filling

- **Purpose**: Ensure a continuous and accurate time series for reporting.
- **Logic**: A zero-filling strategy is applied to any dates within the time series where no contract deployments are detected, ensuring a continuous dataset. The final values are cast to bignumeric types for precision. A chain availability filter is applied to align the output with the latest approved data freshness and archival state of the near network.

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

Unique smart contracts published onchain.

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Contracts deployed

Contracts deployed

Competitive landscape