Validators process transactions and receive fees from users (supply-side fees).

Terra is a smart contract platform for decentralized applications (a blockchain). Terra was founded by Daniel Shin and Do Kwon and launched in 2018. Terra Classic's stablecoin UST collapsed in 2022 due to a cryptocurrency equivalent of a bank run. Terra was forked shortly after, leading to the current Terra and its predecessor Terra Classic. This dashboard tracks the new Terra blockchain.

LUNA holders own and govern the protocol. They take a cut of the total transaction fees paid by users (revenue) that is then rewarded to contract owners (cost of revenue). Terra’s investors include Coinbase Ventures, Galaxy Digital, Pantera Capital, etc.

governance

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Blockchains (L1)

Terra

# Terra Transaction count Methodology

## 1. Overview

The Terra transaction count metric measures the daily number of unique transactions processed on the Terra blockchain. This metric provides insight into network activity and adoption by counting all on-chain transactions submitted to Terra validators each day. The calculation aggregates raw blockchain transaction data by day and applies data quality controls to ensure accurate and consistent reporting.

## 2. Data sources

- **Terra blockchain transaction records**: Raw transaction data from the Terra blockchain including transaction hashes and block timestamps for all transactions processed by Terra validators
- **Chain availability configuration**: Metadata that defines the periods when Terra blockchain data is considered reliable and complete for metric calculation

## 3. Step-by-step calculation

### Component A: Raw transaction extraction
- **Purpose**: Extract the essential transaction identifiers and timestamps from Terra blockchain data
- **Logic**: Select `transaction_hash` and `block_timestamp` fields from Terra blockchain transaction records. This creates a clean dataset containing only the fields needed for daily transaction counting
- **Key fields**: `transaction_hash` serves as the unique identifier for each transaction, `block_timestamp` provides the exact time when each transaction was included in a Terra block

### Component B: Daily transaction aggregation
- **Purpose**: Count unique transactions per day and assign classification metadata
- **Logic**: Group transactions by day using timestamp truncation to day boundaries. Count distinct transaction hashes within each day to avoid double-counting any transactions that might appear multiple times in the raw data. Assign standard classification fields including 'terra' as the blockchain identifier, 'blockchains_l1' as the market sector, 'blockchain' as the business segment, and null for product identifier since this represents overall chain activity
- **Key fields**: `timestamp` contains the day boundary, `transaction_count` contains the count of distinct transaction hashes for that day, classification fields provide categorical metadata for reporting structure

### Final aggregation
- **Combining components**: The daily aggregated data flows through a finalization process that validates the data schema and applies standardized formatting
- **Time aggregation**: Data is aggregated at daily boundaries using day-truncated timestamps, ensuring consistent 24-hour periods aligned to UTC day boundaries
- **Data quality controls**: A 'fill_zeros' strategy fills any gaps in the daily time series with zero transaction counts to maintain complete daily coverage. Chain availability filtering removes any periods where Terra blockchain data is considered incomplete or unreliable
- **Final calculation**: The final metric value for each day equals the count of distinct transaction hashes processed on Terra during that 24-hour period, with data quality controls applied to ensure reporting accuracy

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

Confirmed transactions added to the blockchain.

TerraLUNA

Archived

Transaction count

Transaction count

Competitive landscape