This page provides Blockchain Analytics query examples for Cronos.
See the BigQuery documentation for instructions on using BigQuery.
Show all USDT transfers
This query shows transfers of the USDT token on Cronos since genesis.
In the Google Cloud console, go to the BigQuery page.
The following query is loaded into the Editor field:
-- UDF for easier string manipulation.
CREATE TEMP FUNCTION ParseSubStr(hexStr STRING, startIndex INT64, endIndex INT64)
RETURNS STRING
LANGUAGE js
AS r"""
if (hexStr.length < 1) {
return hexStr;
}
return hexStr.substring(startIndex, endIndex);
""";
-- UDF to convert hex to decimal.
CREATE TEMP FUNCTION HexToDecimal(hexStr STRING)
RETURNS INT64
LANGUAGE js
AS r"""
return parseInt(hexStr, 16);
""";
SELECT
t.transaction_hash,
t.from_address AS from_address,
CONCAT("0x", ParseSubStr(l.topics[OFFSET(2)], 26, LENGTH(l.topics[OFFSET(2)]))) AS to_address,
(HexToDecimal(l.data) / 1000000) AS usdt_transfer_amount
FROM
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.transactions` AS t
INNER JOIN
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.logs` AS l
ON
l.transaction_hash = t.transaction_hash
WHERE
t.to_address = LOWER("0x66e428c3f67a68878562e79a0234c1f83c208770") -- USDT
AND
ARRAY_LENGTH(l.topics) > 0
AND
-- Transfer(address indexed src, address indexed dst, uint wad)
l.topics[OFFSET(0)] = LOWER("0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef")
;
The following shows an example result:
Transaction Hash | From Address | To Address | USDT Transfer Amount |
---|---|---|---|
0x6688fbfff00aee60811c150e3f5fcd08a6c9c50b9e028ff4bed3138918cd6b16 | 0x792f3570cf9a552952b7f80703d1b4e773397e33 | 0xe6e2d743e057024e033fde3e16077de3302e0cd1 | 1500.0 |
0x84f0b00a5ddc882134fab138097a582500097eb7051fed499c403368ab622b31 | 0xf6d7dd84382cd532eb68cc2711509058936e890d | 0x03363e4bbc35f01bec95a33b3b391894f4ca7244 | 1001.08402 |
0xc353e823bfa7c582956154194bccfabef6a4f7e71efb9211ae64b9ccc1b21cc7 | 0x9e199307660706e0ed1ed4d56684aad67ca97bde | 0x43d615be1714913fc1850e5a77cd01fa9b75e90c | 5000.0 |
0x98321418e4fdc29d84a2d49bfc2d6ce1b4d0b37b93b84051aea75b19fb2a6e44 | 0x340a27ea8874177c894c365183d2283b5fcaa697 | 0xa0b5564550345414b619821c8dcbf7e0a20a195a | 7.0 |
0x095a3a3453b27d003ac299fbdbcff53f78c32e748f79064e8a74bc6e20fe8e48 | 0x3a956433edae040b41f1767b24009d08bf73fd6e | 0x8995909dc0960fc9c75b6031d683124a4016825b | 30000.0 |
Wrapped Cronos activity
This query shows the wallets with the most interactions with Wrapped Cronos in the last 30 days.
In the Google Cloud console, go to the BigQuery page.
The following query is loaded into the Editor field:
SELECT
from_address AS address,
CONCAT("https://cronoscan.com/address/", from_address) AS croniscan_link,
COUNT(from_address) AS num_transactions
FROM
`bigquery-public-data.goog_blockchain_cronos_mainnet_us.transactions` AS t
WHERE
to_address = LOWER("0x5C7F8A570d578ED84E63fdFA7b1eE72dEae1AE23") -- Wrapped CRO
AND
block_timestamp > (CURRENT_TIMESTAMP() - INTERVAL 30 DAY)
GROUP BY
from_address
ORDER BY
COUNT(from_address) DESC
;
The following shows an example result:
address | croniscan_link | num_transactions |
---|---|---|
0x07195f6dbac033152904747ca22d4debad682ad7 | https://cronoscan.com/address/0x07195f6dbac033152904747ca22d4debad682ad7 | 167 |
0x70f1378570328c42782e9023c048d1357071082b | https://cronoscan.com/address/0x70f1378570328c42782e9023c048d1357071082b | 148 |
0xce6aeeb31f00a5783c115a669e516f34d56512e4 | https://cronoscan.com/address/0xce6aeeb31f00a5783c115a669e516f34d56512e4 | 120 |
0xc7b0ff7bd56618645737ad1f5623568c1fc65449 | https://cronoscan.com/address/0xc7b0ff7bd56618645737ad1f5623568c1fc65449 | 95 |
0x8194ed39b510a07425b49752ce489cbaa972fbf0 | https://cronoscan.com/address/0x8194ed39b510a07425b49752ce489cbaa972fbf0 | 77 |