Transaction
ID: 5536f7a9d6...bd1e
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
13.27 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
13.26 ERG
Transaction Details
Confirmations: 33,369
Total coins transferred: 13.27 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000671 ERG
Raw Transaction Data
{
"id": "5536f7a9d6a467ec4b4f1fa35d7005b76d05ccd5e31f7e9e65f3be809e97bd1e",
"blockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
"inclusionHeight": 1732147,
"timestamp": 1772330470294,
"index": 4,
"globalIndex": 10376128,
"numConfirmations": 33369,
"inputs": [
{
"boxId": "800d114679a6a52f1e99e486af1de59323cb809561b323b67630f8cc0f245717",
"value": 13266992696,
"index": 0,
"spendingProof": "d2a255624874e44c006ef3ca72130827b9e55404ffeaf220948a0b82dab3284ac4604b51fdbad06be3605eea609fbc6192a82ced637bb299",
"outputBlockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
"outputTransactionId": "f47204e8290b3161f8b06de2a624cc830b49f79451294360ede510be1f566696",
"outputIndex": 2,
"outputGlobalIndex": 53871697,
"outputCreatedAt": 1732145,
"outputSettledAt": 1732147,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "25a3af5d6a1f54acb4ac771688be3e19a9a58c11a889c9dddce9d87996229e1d",
"transactionId": "5536f7a9d6a467ec4b4f1fa35d7005b76d05ccd5e31f7e9e65f3be809e97bd1e",
"blockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
"value": 1000000,
"index": 0,
"globalIndex": 53871701,
"creationHeight": 1732145,
"settlementHeight": 1732147,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 33\n4: 34\n5: 35\n6: 5\n7: 0\n8: 0\n9: 8\n10: 2\n11: 1\n12: 0\n13: 32\n14: 32\n15: 54\n16: 0\n17: 22\n18: 0\n19: 32\n20: 32\n21: 16777216\n22: 0\n23: 256\n24: 65536\n25: 0\n26: 256\n27: 256\n28: 0\n29: 256\n30: 0\n31: true\n32: 21\n33: 20\n34: 256\n35: 0\n36: 256\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 4\n43: 0\n44: 2\n45: 2\n46: 2\n47: 0\n48: true\n49: 0\n50: 0\n51: 1200000\n52: 3\n53: 12\n54: 4\n55: 0\n56: 0\n57: 2\n58: 10\n59: 2\n60: 11\n61: 2\n62: 0\n63: 32\n64: 0\n65: 32\n66: 1\n67: true\n68: 0\n69: 1\n70: 32\n71: 40\n72: 1\n73: 32\n74: 40\n75: 40\n76: 48\n77: 0\n78: 12",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n if (l1 < l3) {(\n val box6 = OUTPUTS(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val box8 = coll7(placeholder[Int](2))\n val coll9 = getVar[Coll[Byte]](4.toByte).get\n val i10 = coll4.size\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = getVar[Coll[Byte]](5.toByte).get\n val coll13 = getVar[Coll[Byte]](2.toByte).get\n val l14 = coll12(placeholder[Int](3)).toLong\n val l15 = coll12(placeholder[Int](4)).toLong\n val l16 = coll12(placeholder[Int](5)).toLong\n val l17 = coll2(placeholder[Int](6))\n val coll18 = box6.R5[Coll[Coll[Byte]]].get\n val coll19 = box6.R6[Coll[Coll[Byte]]].get\n val i20 = coll5.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n {(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll9 }\n )\n ) && (coll2(placeholder[Int](7)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](8), placeholder[Int](9))))\n ) && (i10.toLong < coll2(placeholder[Int](10)))\n ) && (coll7(placeholder[Int](11)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n ) && (\n (coll13.slice(placeholder[Int](12), placeholder[Int](13)) == coll11) && (\n coll13.slice(placeholder[Int](14), placeholder[Int](15)) == coll12.slice(placeholder[Int](16), placeholder[Int](17))\n )\n )\n ) && coll4.forall({(coll21: Coll[Byte]) => coll21.slice(placeholder[Int](18), placeholder[Int](19)) != coll11 })\n ) && (\n l1 >= coll12(placeholder[Int](20)).toLong * placeholder[Long](21) + if (l14 < placeholder[Long](22)) {\n l14 + placeholder[Long](23)\n } else { l14 } * placeholder[Long](24) + if (l15 < placeholder[Long](25)) { l15 + placeholder[Long](26) } else { l15 } * placeholder[\n Long\n ](27) + if (l16 < placeholder[Long](28)) { l16 + placeholder[Long](29) } else { l16 }\n )\n ) && if (l17 == placeholder[Long](30)) { placeholder[Boolean](31) } else {(\n val l21 = coll12(placeholder[Int](32)).toLong\n val l22 = coll12(placeholder[Int](33)).toLong * placeholder[Long](34) + if (l21 < placeholder[Long](35)) {\n l21 + placeholder[Long](36)\n } else { l21 }\n val coll23 = box8.R9[Coll[Long]].get\n val i24 = l17 - placeholder[Long](37) * placeholder[Long](38).toInt\n (l22 >= coll23(i24)) && (l22 <= coll23(i24 + placeholder[Int](39)))\n )}\n ) && (coll18.size == i10 + placeholder[Int](40))\n ) && (coll18(i10) == coll13)\n ) && coll4.indices.forall({(i21: Int) => coll18(i21) == coll4(i21) })\n ) && (coll19.size == i20 + placeholder[Int](41))\n ) && (coll19(i20) == getVar[Coll[Byte]](3.toByte).get)\n ) && coll5.indices.forall({(i21: Int) => coll19(i21) == coll5(i21) })\n ) && (box6.value >= SELF.value + coll2(placeholder[Int](42)))\n )\n )} else {(\n val i6 = getVar[Int](1.toByte).get\n val box7 = CONTEXT.dataInputs(placeholder[Int](43))\n val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n val coll9 = box7.R4[Coll[Long]].get\n sigmaProp(if (i6 == placeholder[Int](44)) {(\n val i10 = coll4.size\n ((bool8 && (l1 >= l3 + placeholder[Long](45))) && (i10 < placeholder[Int](46))) && if (i10 == placeholder[Int](47)) { placeholder[Boolean](48) } else {(\n val box11 = OUTPUTS(placeholder[Int](49))\n (box11.propositionBytes == coll5(placeholder[Int](50))) && (box11.value >= SELF.value - placeholder[Long](51))\n )}\n )} else { if (i6 == placeholder[Int](52)) {(\n val coll10 = coll5.indices\n ((bool8 && (l1 > l3 + placeholder[Long](53))) && coll10.forall({(i11: Int) =>\n val box13 = OUTPUTS(i11)\n (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](54)))\n })) && (coll10.fold(placeholder[Long](55), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n )} else {(\n val i10 = coll4.size\n val box11 = OUTPUTS(placeholder[Int](56))\n val coll12 = box11.R7[Coll[Coll[Byte]]].get\n val i13 = coll12.size\n val l14 = SELF.value\n (((((((((((bool8 && ((l1 >= l3 + placeholder[Long](57)) && (l1 <= l3 + placeholder[Long](58)))) && (i10 >= placeholder[Int](59))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](60)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (box11.R9[Coll[Byte]].get == CONTEXT.headers(l1 - l3 - placeholder[Long](61).toInt).id)) && (i13 == i10)) && coll12.forall({(coll15: Coll[Byte]) => coll4.exists({(coll17: Coll[Byte]) => coll17.slice(placeholder[Int](62), placeholder[Int](63)) == coll15.slice(placeholder[Int](64), placeholder[Int](65)) }) })) && if (i13 <= placeholder[Int](66)) { placeholder[Boolean](67) } else { coll12.indices.slice(placeholder[Int](68), i13 - placeholder[Int](69)).forall({(i15: Int) => byteArrayToLong(coll12(i15).slice(placeholder[Int](70), placeholder[Int](71))) >= byteArrayToLong(coll12(i15 + placeholder[Int](72)).slice(placeholder[Int](73), placeholder[Int](74))) }) }) && (coll12.map({(coll15: Coll[Byte]) => byteArrayToLong(coll15.slice(placeholder[Int](75), placeholder[Int](76))) }).fold(placeholder[Long](77), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= l14)) && (box11.value >= l14 + coll9(placeholder[Int](78)))\n )} })\n )}\n}",
"address": "3uBarPXeJV1D444C5wepKugvoRcajisjjwcRswN1PHNL2bU1rRBy2igbzcdDMbA2tSxWA2vDnaiYpmrXu3V7egx7RknwAwukXwAaJkZRoigd5Vrf7dnnzU8JedFPXirAPaiCFxSvcBthJiqgyuxtMJcV4G1cGAdj6SUMfxY6zHavmw5EdBG7SAXcXpeTsNriBLqNAFVAGkv8hCYrwHSS6WTkEXonn1F8EvGXqpYcPjRZtWXMuKRGG7a8ZggZeL3GnJb9omAFdF1AkWnynG5PhTMM7PQmggmhHKmeT82NZAtJBx2rMe1Y8n7afQLnFxBk3invC5gcuvXqUbEwUGb8QiXii7LyCL7qCfhHvu6cBGE5gGxdCcEbYEXjFwgmX7DriCcigsy4n76bGLNUt3jUTpAQwKjTQqdGTzGvjfWP3JkJtU2Ph2ZDqPyDzgyP9GNapsbCRpicc6mhx94TULmE14szdV8WXdBzQBJZLqGv7zPjCTSMaoDeifotdAsW6buue8TgRPKjPDd5GkWcx3G9ZcC4o1E4jwyhmgfp8hogfqvHPSLNgbNxtM6Y3Ww3Xkvb6M5bxPfUuLX8FsyoSbyyt6qWYz8KjixAQqrVzVg6oroFg5WnGw9EnmGGt4QXNefAYXokAJcahSvXwPUeSmLaDQi8R2QZTBBzJ14hRZ1dBmmkfHxP2x4ckjbhQDqu5HHLjt3KYujHsZtJGwTWi7uZvGeRZbK8WEcxvf8RD6kkdg3TyMCX9MeXc3mbkPscyUvZBceS6FFhmf7SqVn7PZqkdfdxmdwvDfyyY1DHuJ9Eshk1EHn3zxZs5916iqtgQ5LsRDCPS3QW4C58VfwF1meTxwQKkDyrb7rGeepWRNkMZvqj9Z4w5A4mu96jxi8fAc61GuaG1mnBUH3oKVUGvNRUcaat4jGHPGbwnWjXv3u1U2AqsCjo1G7k6S3P9HFkg19QVNJZGyhQMgCMzTcjRS3jKc9boRapZS5kHUdaLHvrjqdPRENE1zRnb88hWHy9xvTXHnjmz8T36qMMbdpW3TH5qP2pm3BDn9CwVbeNmYRbENup4gzvPX8pybNhhkjcUi1fDjedffP533jEQSxEn2dFgzbWStgayrCKPkd2LPgRUj2aqaVGpbo9PuhmUAGjFJbQX33ZutbYLs9AcVn839sGkW1Xr8SQCE7YbFv3otGwCdpmzjmBo9m4XcszecT1WKAXx59nwRbpw5CBBgFk219UcDuP4wYw5i4KQ9n2JMRVL2E3r6Fg3kY9QMcXeyDxfSnA8xvR86KLkfB6dyGvqRaRBRVxqHbuzQpQzZUVg2Z9ai4ZsbFTuJNh31x3KL2kL6rKDCY7zJmcW5TAycGFU1febYCaiL2xuEYoRfUgepjLUmpu5M1BXyhpg8yhfpABsq7xwZoWfmaooC5xbRd6Ju5oshpod8VES8YBNGVidRSyvHXUHFRWHrZUirAm6xteqwxNk4oE8Z2R8KszUMCVGT2cGXsJCv3H2AzLCMoihtyzhTJUnvwJG3HyTjFPi5gE5wxsRaFKvKnfdMhGzA7gE7SaNbi1DF4JECuz9AxkxAMysuQyd5H8gJ5QgxR3RSzk4jEFkK7tGxM7kv8atMvy9Gdi4QZzDyK9oCq2zxB2rUNLoGdX63xv",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1107e7b3a29ad69b80c386010028f6b8d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-4846718099407523060,0,20,1732155,50000000,0,0]"
},
"R5": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R6": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
"spentTransactionId": "6b843ddef5631f24ba82e25e95872d738cde88ecf5a39bda6f11bc684732ac48",
"mainChain": true
},
{
"boxId": "7efdaf69c14eb211d932bf518ac74a548eee0df5cca0f94e40353426c4a64139",
"transactionId": "5536f7a9d6a467ec4b4f1fa35d7005b76d05ccd5e31f7e9e65f3be809e97bd1e",
"blockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
"value": 1000000,
"index": 1,
"globalIndex": 53871702,
"creationHeight": 1732145,
"settlementHeight": 1732147,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a8ad4a53cd677afb3ac1f3382d59dbd89fe8168ea6f8a7f0f8b2ecfcf8ad498c",
"mainChain": true
},
{
"boxId": "8a63853e84510886426072626880b4ad6a45c64d0da9e0459ce3f3f54621e016",
"transactionId": "5536f7a9d6a467ec4b4f1fa35d7005b76d05ccd5e31f7e9e65f3be809e97bd1e",
"blockId": "4c78e81961b10b6c2a20fc4c81756381dd626fcb1f8a23905c534cea88e05cdb",
"value": 13264992696,
"index": 2,
"globalIndex": 53871703,
"creationHeight": 1732145,
"settlementHeight": 1732147,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "594f20b9753fae200439553199e879d69b18b32190a34e84d4b5522139e37d82",
"mainChain": true
}
],
"size": 1491,
"isUnconfirmed": false
}