Metis batches users' transactions and submits them to Ethereum, paying a share of the transaction fees to Ethereum validators (expense).

Metis is an L2 smart contract platform for decentralized applications on Ethereum. Metis was founded by Kevin Liu, Elena Sinelnikova, and Yuan Su, and launched in 2021.

METIS tokenholders own and govern the protocol. They currently run the only sequencer and take a cut of the total transaction fees paid by users (revenue). Metis' investors include Master Ventures, Digital Finance Group, Momentum 6, etc.

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Blockchains (L2)

Metis

# Metis Active users (daily) Methodology

## 1. Overview

The Metis daily active users (DAU) metric measures the number of unique addresses that initiated at least one transaction on the Metis network within a 24-hour period. This metric answers the fundamental question of user engagement by counting distinct transaction senders per day, providing insight into daily blockchain network activity and user adoption.

## 2. Data sources

The calculation relies on the following underlying data sources:
- **Metis blockchain transaction records**: Complete transaction history from the Metis network, including all on-chain transactions with sender addresses, timestamps, and transaction hashes
- **Block timestamp data**: Precise timing information for when each transaction was included in a block on the Metis network
- **Transaction metadata**: Transaction sender addresses (`from_address`) that identify the initiating user for each transaction

## 3. Step-by-step calculation

### Component A: User identification and filtering
- **Purpose**: Extract and clean user activity data from raw Metis transactions
- **Logic**: The calculation begins by accessing all transaction records from the Metis blockchain. Each transaction record contains the sender address (`from_address`), which represents a user who initiated the transaction. Invalid timestamp entries are filtered out, specifically removing any records with timestamps of `1970-01-01 00:00:00 UTC` which represent data quality issues. All relevant fields are cast to appropriate data types to ensure consistency.
- **Key fields**: `block_timestamp` for timing, `from_address` as the user identifier, and `transaction_hash` for transaction uniqueness

### Component B: Metadata classification and standardization
- **Purpose**: Add consistent metadata and business classification to user records
- **Logic**: Each user record is enhanced with standardized metadata including chain identification set to `metis`, user type classified as `Transaction sender`, market sector identified as `blockchains_l2`, and business segment marked as `blockchain`. The user address field is standardized by mapping `from_address` to `user_address` for consistency across the data model.
- **Key fields**: `chain`, `user_type`, `market_sector_id`, `business_segment_id`, and `user_address`

### Final aggregation
- **Combining components**: The cleaned and classified user transaction data flows into the daily aggregation process
- **Time aggregation**: Block timestamps are truncated to day-level granularity using daily boundaries, creating discrete 24-hour periods for user counting
- **Final calculation**: Daily active users are calculated by counting distinct user addresses (`user_address`) within each day. The `DISTINCT` operation ensures that users who made multiple transactions on the same day are only counted once per day
- **Data quality**: Chain availability filtering is applied to ensure only valid data points are included in the final metric, and incremental processing with a lookback window ensures data freshness while maintaining historical accuracy

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

Unique revenue-generating users over a fixed 24-hour window.

MetisMETIS

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown