TYPE | Tx Count | User Count | Amount In $Kaia | Tx Per Users | Volume per Users In $Kaia | |
|---|---|---|---|---|---|---|
1 | Daily Login | 7966 | 7072 | 1.126414 | ||
2 | In-App Payment | 18 | 7 | 284.48 | 2.571429 | 40.64 |
SajjadiiiAll Dataa 2
Updated 2025-02-23
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with trace_data AS (
SELECT
BLOCK_TIMESTAMP,
TX_HASH,
FROM_ADDRESS,
TO_ADDRESS,
TRACE_INDEX,
VALUE_PRECISE
FROM kaia.core.fact_traces
WHERE block_timestamp::date >= '2025-01-01'
AND tx_hash in (SELECT tx_hash FROM kaia.core.fact_event_logs WHERE topics[0] = '0x960a6bb8032c55b0217dc5d5e962cd62168b247a4dfc80213fb185caeb120143')
-- tx_hash in ( '0x97f54fe7cdad1fe44d7de3bd96f5b693aba84a9eed938b68dfa79347d368bee9' , '0xe82611c41c82c3c10f185acfd8926f388cba1453ae3239b9bc7bbe8d9dc7547a' , '0x46c1d2c7cfccd0e192761a73a402ddc920a4c08122f80ea5fe3ea3947c818884')
),
fees AS (
SELECT
TX_HASH,
SUM(CASE WHEN To_address = '0x4d129c57945e769dde797ae7058da8d6c89fd9db' THEN VALUE_PRECISE ELSE 0 END) AS FIRST_FEE,
SUM(CASE WHEN TO_ADDRESS = '0xfb1bffc9d739b8d520daf37df666da4c687191ea' THEN VALUE_PRECISE ELSE 0 END) AS SECOND_FEE
FROM trace_data
GROUP BY TX_HASH
),
program_address AS (
SELECT TX_HASH, TO_ADDRESS AS PROGRAM_ADDRESS, VALUE_PRECISE AS RETURNED_TO_PROGRAM
FROM trace_data
WHERE TRACE_INDEX = 4
),
user_spent AS (
SELECT TX_HASH,from_address AS User_address, VALUE_PRECISE AS USER_SPENT
FROM trace_data
WHERE TRACE_INDEX = 0
),
aggregated_data AS (
SELECT
DISTINCT td.TX_HASH,
us.User_address,
Last run: 2 months ago
2
92B
17s