Monad Data Enginestatistical-plum
    Updated 2025-03-17
    WITH transactions_per_second AS (
    SELECT
    DATE_TRUNC('minute', block_timestamp) AS minute_timestamp,
    COUNT(*) / 60.0 AS tps
    FROM MONAD.testnet.fact_transactions
    WHERE block_timestamp >= CURRENT_TIMESTAMP - INTERVAL '24 hours'
    GROUP BY 1
    )
    SELECT
    minute_timestamp AS "⏰ Time",
    tps AS "💫 Transactions per Second",
    AVG(tps) OVER (ORDER BY minute_timestamp ROWS BETWEEN 59 PRECEDING AND CURRENT ROW) AS "📈 1-Hour Moving Average"
    FROM transactions_per_second
    ORDER BY minute_timestamp;
    Last run: 11 days ago
    ⏰ Time
    💫 Transactions per Second
    📈 1-Hour Moving Average
    1
    2025-03-16 23:36:00.00035.6535.65
    2
    2025-03-16 23:37:00.000147.43333391.5416665
    3
    2025-03-16 23:38:00.000155.733333112.938888666
    4
    2025-03-16 23:39:00.000162125.2041665
    5
    2025-03-16 23:40:00.000198.25139.8133332
    6
    2025-03-16 23:41:00.000200.133333149.8666665
    7
    2025-03-16 23:42:00.000187.316667155.216666571
    8
    2025-03-16 23:43:00.000156.75155.40833325
    9
    2025-03-16 23:44:00.000173.5157.418518444
    10
    2025-03-16 23:45:00.000164.75158.1516666
    11
    2025-03-16 23:46:00.000155.55157.915151454
    12
    2025-03-16 23:47:00.000151.483333157.379166583
    13
    2025-03-16 23:48:00.000153.933333157.114102461
    14
    2025-03-16 23:49:00.000146.6156.363095142
    15
    2025-03-16 23:50:00.000144155.5388888
    16
    2025-03-16 23:51:00.000160.25155.83333325
    17
    2025-03-16 23:52:00.000177.35157.099019529
    18
    2025-03-16 23:53:00.000195.433333159.228703611
    19
    2025-03-16 23:54:00.000200.516667161.401754315
    20
    2025-03-16 23:55:00.000205.116667163.58749995
    ...
    1380
    69KB
    2s