# Polygon Active addresses (daily) Methodology

## 1. Overview

Daily active addresses on Polygon measures the number of unique wallet addresses that initiated at least one transaction on the Polygon blockchain within a given day. This metric serves as a proxy for daily blockchain usage and user engagement, providing insights into the network's adoption and activity levels. The calculation treats each transaction sender address as an active address and uses probabilistic counting techniques for efficient computation at scale.

## 2. Data sources

- **Polygon transaction records**: Raw blockchain transaction data including sender addresses, recipient addresses, transaction hashes, and block timestamps
- **Polygon transaction receipts**: Gas usage data and transaction execution details including `receipt_gas_used` and `receipt_effective_gas_price` 
- **Polygon block data**: Block timestamps and block numbers for temporal aggregation and ordering

## 3. Step-by-step calculation

### Component A: Transaction data extraction
- **Purpose**: Extracts and standardizes raw Polygon transaction data for analysis
- **Logic**: Retrieves all Polygon blockchain transactions with essential fields including `block_timestamp`, `transaction_hash`, `from_address`, `to_address`, and gas-related metrics. Applies distinct selection to ensure transaction uniqueness. Standardizes gas price by dividing `receipt_effective_gas_price` by 10^18 to correct for decimal places. Sets fixed metadata values including market sector as 'blockchains_l1', business segment as 'blockchain', and references the wrapped POL token address `0x0d500b1d8e8ef31e21c99d1db9a6444d3adf1270`
- **Key fields**: `block_timestamp` for temporal grouping, `from_address` as the active address identifier, `transaction_hash` for deduplication, `gas_used` and `effective_gas_price` for contextual data

### Component B: User identification and daily aggregation  
- **Purpose**: Identifies unique active addresses per day from transaction sender data
- **Logic**: Takes transaction data and truncates `block_timestamp` to daily boundaries using timestamp truncation. Extracts `from_address` as the user identifier, treating each transaction sender as a daily active user. Classifies all users with user type 'Transaction sender'. Groups data by day while preserving dimensional attributes including chain, market sector, business segment, and product identifiers
- **Key fields**: Truncated `timestamp` for daily grouping, `from_address` renamed to `user_dau` as the unique identifier, `user_type` classification, dimensional metadata fields

### Component C: HyperLogLog sketch creation and aggregation
- **Purpose**: Creates efficient probabilistic data structures for large-scale distinct counting across multiple dimensions  
- **Logic**: Generates HyperLogLog sketches for each unique `user_dau` value with precision parameter 15, grouped by timestamp, chain, user type, and product ID. Creates separate dimensional aggregations including overall project level (project_dbt_tag dimension), chain-specific breakdowns, user type breakdowns, and product-specific breakdowns. Merges HLL sketches using partial merge operations and extracts final distinct counts for each dimensional combination
- **Key fields**: `hll` sketches for probabilistic counting, `dimensions` field indicating aggregation level, `user_dau` extracted from merged HLL sketches

### Final aggregation  
- **Combining components**: Unions all dimensional breakdowns (project_dbt_tag, chain, user_type, product_id) into a single dataset with consistent schema. Filters results to include only 'chain' and 'project_dbt_tag' dimensions for the active addresses metric
- **Currency conversion**: Not applicable as this metric counts addresses rather than monetary values
- **Time aggregation**: Daily boundaries established through timestamp truncation to day granularity, with data grouped and aggregated at daily intervals
- **Final calculation**: Renames `user_dau` field to `active_addresses_daily` to reflect blockchain-specific terminology. Applies finalization macro with 'fill_zeros' strategy to populate zero values for days with no transaction activity. Applies chain availability filters to ensure data consistency across the analysis period

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

Unique active addresses over a fixed 24-hour window.

Active addresses (daily)

Polygon

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

Polygon is a smart contract platform for decentralized applications & interoperability platform for blockchains. Polygon was founded by Jaynti Kanani, Sandeep Nailwal & Anurag Arjun and launched in 2017.

MATIC holders own and govern the protocol. They currently take a cut of the total transaction fees paid by users (revenue). Polygon’s investors include Coinbase Ventures, ZBS Capital, MiH Ventures, etc.

Polygon POL

Active addresses (daily)

Active addresses (daily)

Competitive landscape

Chain breakdown