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.

github

twitter

discord

etherscan

website

Blockchains (L2)

Metis

# Metis Transactions per second Methodology

## 1. Overview

Transactions per second (TPS) measures the average number of transactions processed by the Metis blockchain per second on a daily basis. This metric provides insight into network throughput and usage patterns by dividing the total daily transaction count by 86,400 seconds (the number of seconds in a day). The calculation uses actual transaction data from the Metis blockchain and accounts for data quality issues specific to this network.

## 2. Data sources

- **Metis blockchain transaction records**: Raw transaction data from the Metis blockchain containing block timestamps, transaction hashes, sender addresses, and recipient addresses
- **Chain availability configuration**: Token Terminal's internal configuration system that determines which blockchain data should be included in metrics based on network availability and data quality standards

## 3. Step-by-step calculation

### Component A: Raw transaction data extraction
- **Purpose**: Extract and clean raw transaction data from the Metis blockchain
- **Logic**: Transaction records are extracted from Metis blockchain data and undergo data quality filtering. The system specifically filters out transactions with invalid timestamps of '1970-01-01 00:00:00 UTC' due to known data quality issues in certain Metis blocks. All relevant fields including `block_timestamp`, `transaction_hash`, `from_address`, and `to_address` are cast to appropriate data types to ensure consistency
- **Key fields**: `block_timestamp` (when the transaction was processed), `transaction_hash` (unique transaction identifier), `from_address` and `to_address` (sender and recipient addresses), and `chain` (hardcoded as 'metis')

### Component B: Daily transaction count aggregation
- **Purpose**: Aggregate transaction counts on a daily basis while maintaining proper categorization
- **Logic**: Transactions are grouped by day using timestamp truncation to daily granularity. The system counts distinct transaction hashes to avoid counting duplicate entries. Transactions are categorized with chain identifier ('metis'), market sector ('blockchains_l2'), business segment ('blockchain'), and grouped by destination address to maintain granular tracking. The aggregation uses incremental processing to efficiently handle new data
- **Key fields**: `timestamp` (truncated to day), `transaction_count` (distinct count of transaction hashes), `chain_id`, `market_sector_id`, `business_segment_id`, and `to_address`

### Final aggregation
- **Combining components**: The daily transaction counts are processed to calculate the final transactions per second metric
- **Currency conversion**: Not applicable for this transaction throughput metric
- **Time aggregation**: Daily transaction counts are maintained at day-level granularity with timestamp boundaries set at midnight UTC
- **Final calculation**: Transactions per second is calculated by dividing the daily transaction count by 86,400 (the number of seconds in a day) using safe division to handle edge cases. The result represents the average transactions per second for each day. Gap filling with zeros ensures continuous time series data, and chain availability filtering ensures only valid data periods are included in the final metric

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

Average confirmed user transactions added per second.

MetisMETIS

Transactions per second

Transactions per second

Competitive landscape

Chain breakdown