Raw Transaction Data · JSON
{
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"hash": "0x40031691280e35027164b09f19fb02ccf1fb1536d2ccf371842ad13492b7d942",
"sender": "0xac9ca94f8e26da9c1268a73ef8b4d0d367b11c89",
"recipient": "0xc057c855abbdc721ebfca25912254c708c351df9",
"amount_dec": "0",
"value_raw": "0",
"fee_dec": "0.00000000000032263",
"fee_raw": "322630",
"asset": "COOK",
"timestamp_ms": 1791478932000,
"block": 214041,
"status": "Success",
"kind": "Contract call",
"source": "EVM",
"nonce": 999,
"transaction_type": 2,
"gas_limit": "55767",
"gas_used": "46090",
"gas_price_wei": "7",
"gas_price_gwei": "0.000000007",
"data_hex": "0x095ea7b3000000000000000000000000086cf2482f13bfcaad24ae55ae083f02ffbd8ef40000000000000000000000000000000000000000000016700d5a72f9bce76792",
"receipt": {
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"gasUsed": "0xb40a",
"effectiveGasPrice": "0x7",
"logs": [
{
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"blockNumber": "0x34419",
"transactionHash": "0x40031691280e35027164b09f19fb02ccf1fb1536d2ccf371842ad13492b7d942",
"transactionIndex": "0x0",
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"status": "0x1",
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"transactionHash": "0x40031691280e35027164b09f19fb02ccf1fb1536d2ccf371842ad13492b7d942",
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},
"logs": [
{
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"data": "0x0000000000000000000000000000000000000000000016700d5a72f9bce76792",
"blockNumber": "0x34419",
"transactionHash": "0x40031691280e35027164b09f19fb02ccf1fb1536d2ccf371842ad13492b7d942",
"transactionIndex": "0x0",
"blockHash": "0x6920f7b68954377aa5dfbf64776b453cddc4e551d505a7041ca5a8bdd0511581",
"blockTimestamp": "0x6ac7cc94",
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],
"raw_transaction": {
"accessList": [],
"blockHash": "0x6920f7b68954377aa5dfbf64776b453cddc4e551d505a7041ca5a8bdd0511581",
"blockNumber": "0x34419",
"blockTimestamp": "0x6ac7cc94",
"chainId": "0x1352889",
"from": "0xac9ca94f8e26da9c1268a73ef8b4d0d367b11c89",
"gas": "0xd9d7",
"gasPrice": "0x7",
"maxPriorityFeePerGas": "0x0",
"maxFeePerGas": "0xe",
"hash": "0x40031691280e35027164b09f19fb02ccf1fb1536d2ccf371842ad13492b7d942",
"input": "0x095ea7b3000000000000000000000000086cf2482f13bfcaad24ae55ae083f02ffbd8ef40000000000000000000000000000000000000000000016700d5a72f9bce76792",
"nonce": "0x3e7",
"to": "0xc057c855abbdc721ebfca25912254c708c351df9",
"transactionIndex": "0x0",
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"yParity": "0x1",
"v": "0x1",
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