Updated 2025-04-08
    WITH avg_tps AS (
    SELECT live.udf_api('https://metrics.avax.network/v2/chains/49321/metrics/avgTps?startTimestamp=1726272000&timeInterval=day&pageSize=2160') AS response
    ),
    tps_flattened AS (
    SELECT
    to_timestamp(tx.value:timestamp)::date AS date,
    tx.value:value::float AS daily_tps
    FROM
    avg_tps,
    LATERAL FLATTEN(input => response:data:results) AS tx
    ),
    fees_paid AS (
    SELECT
    live.udf_api('https://metrics.avax.network/v2/chains/49321/metrics/feesPaid?startTimestamp=1726272000&timeInterval=day&pageSize=2160') AS response
    ),
    fees_flattened AS (
    SELECT
    to_timestamp(tx.value:timestamp)::date AS date,
    tx.value:value::float AS daily_fees
    FROM fees_paid,
    LATERAL FLATTEN(input => response:data:results) AS tx
    ),
    combined_data AS (
    SELECT
    COALESCE(t.date, f.date) AS date,
    t.daily_tps,
    f.daily_fees
    FROM tps_flattened t
    FULL OUTER JOIN
    fees_flattened f ON t.date = f.date
    )
    SELECT
    date_trunc('{{Date_Trunc}}', date) AS truncated_date,
    AVG(daily_tps) AS "Daily Avg TPS",
    SUM(daily_fees) AS "Daily Fee"
    FROM
    Last run: about 2 months ago
    TRUNCATED_DATE
    Daily Avg TPS
    Daily Fee
    1
    2025-03-09 00:00:00.0003228.111022223
    2
    2025-03-10 00:00:00.0002825.791261209
    3
    2025-03-11 00:00:00.0002725.124545924
    4
    2025-03-12 00:00:00.0002825.394810977
    5
    2025-03-13 00:00:00.0002725.125149173
    6
    2025-03-14 00:00:00.0002927.427165208
    7
    2025-03-15 00:00:00.0003229.445882698
    8
    2025-03-16 00:00:00.0003229.568660602
    9
    2025-03-17 00:00:00.0002825.911886621
    10
    2025-03-18 00:00:00.0002725.271488846
    11
    2025-03-19 00:00:00.0002624.587988325
    12
    2025-03-20 00:00:00.0002724.506162982
    13
    2025-03-21 00:00:00.0003027.344939416
    14
    2025-03-22 00:00:00.0003229.278517644
    15
    2025-03-23 00:00:00.0003229.111222708
    16
    2025-03-24 00:00:00.0002926.031424661
    17
    2025-03-25 00:00:00.0002725.180955486
    18
    2025-03-26 00:00:00.0002724.215162861
    19
    2025-03-27 00:00:00.0002826.405088618
    20
    2025-03-28 00:00:00.0003128.858223562
    29
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