Stacks miners batch users' transactions and receive fees from users (supply-side fees). Miners submit transactions to Bitcoin, paying a share of the transaction fees to Bitcoin miners.

Stacks is an smart contract platform for creating decentralized applications on Bitcoin (a blockchain). Stacks was founded by Muneeb Ali and Ryan Shea, and launched in 2021.

STX tokenholders own and govern the protocol. They currently do not take a cut of the total transaction fees paid by users (revenue). Stacks' investors include IOSG Ventures, The Spartan Group, Hashkey Exchange, etc.

github

twitter

discord

website

Blockchains (L2)

Stacks

# Stacks Transaction count Methodology

## 1. Overview

The Stacks transaction count metric measures the total number of unique transactions processed by the Stacks blockchain on a daily basis. This metric serves as a fundamental indicator of Stacks network activity and adoption. System transactions such as coinbase and tenure_change are excluded to capture only user-initiated activity. The calculation uses a simple aggregation approach that counts distinct transaction identifiers from Stacks blockchain data and aggregates them to daily time boundaries.

## 2. Data sources

- **Stacks blockchain transaction data**: Complete record of all Stacks transactions including transaction identifiers, block timestamps, transaction types, and fee amounts
- **Block timestamps**: Precise timing information for when each transaction was included in a block, used for daily aggregation boundaries

## 3. Step-by-step calculation

### Component A: Raw transaction extraction
- **Purpose**: Extract and prepare Stacks transaction records for aggregation
- **Logic**: The calculation begins by accessing Stacks blockchain transaction data, extracting key fields including block timestamps for temporal grouping and transaction identifiers for counting. System transactions (coinbase and tenure_change types) are filtered out to ensure only user-initiated transactions are counted. The block timestamp field determines which day each transaction belongs to for aggregation purposes.
- **Key fields**: `block_timestamp` for daily grouping, `transaction_hash` as the unique transaction identifier, `transaction_type` for filtering

### Component B: Daily transaction aggregation
- **Purpose**: Count unique transactions per day and apply standard metric formatting
- **Logic**: Block timestamps are truncated to daily boundaries using day-level granularity, creating discrete daily time periods. Within each day, the system counts distinct transaction identifiers to determine the total number of unique user transactions. Static metadata is applied including chain identification as Stacks, market sector classification as layer-2 blockchain, and business segment categorization as blockchain infrastructure. The product identifier is set to null as this represents network-wide activity.
- **Key fields**: `timestamp` truncated to daily boundaries, `transaction_count` as the distinct count of transaction identifiers, `chain_id` set to stacks, `market_sector_id` set to blockchains_l2

### Final aggregation
- **Combining components**: The daily transaction counts are processed through a finalization macro that validates the data schema, ensures temporal completeness, and applies gap-filling logic
- **Currency conversion**: No currency conversion is required as this metric counts transactions rather than monetary values
- **Time aggregation**: Daily boundaries are established by truncating block timestamps to day-level granularity, ensuring consistent daily reporting periods aligned with calendar days
- **Final calculation**: The final metric value represents the count of distinct user transaction identifiers that occurred within each daily time period, with zero values filled for any missing days to maintain a continuous daily time series

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

Confirmed transactions added to the blockchain.

StacksSTX

Transaction count

Transaction count

Competitive landscape