Transaction
ID: 71a4e3335e...8283
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.507284533 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:
0.505284533 ERG
Transaction Details
Confirmations: 27,843
Total coins transferred: 0.507284533 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000603 ERG
Raw Transaction Data
{
"id": "71a4e3335ee1cb6d797e0ea5825cb59f0ab5753f105470b4f52a60c628e08283",
"blockId": "83cda2c4fdca250e37af146b18dd97d67a97e29897449c24954e80e320cf4ead",
"inclusionHeight": 1738407,
"timestamp": 1773086504330,
"index": 8,
"globalIndex": 10422224,
"numConfirmations": 27843,
"inputs": [
{
"boxId": "04b24556b6b8d16b66902758859fb7a27d93ebfb1d806f3432a38ab41ae09f60",
"value": 507284533,
"index": 0,
"spendingProof": "d44afe74f29a9ff03af9596abaa342ba008b66aff874cdc8d85ce4fc01313a58850c6651f28e6aa7e952da21c8a277104cdada727b197648",
"outputBlockId": "70ca30e93f6029c26132517b47892dca8299e71e7755b6ecc925456702caa465",
"outputTransactionId": "01c897c8f880840d09335fcc43e48be565a44ad9d450b706e61fda238c5637dd",
"outputIndex": 2,
"outputGlobalIndex": 54044218,
"outputCreatedAt": 1738360,
"outputSettledAt": 1738363,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "28fc0723348e3c6d0e5ab11c473c9cd87514a8ba4e358aa52bcfa6b0e061aafd",
"transactionId": "71a4e3335ee1cb6d797e0ea5825cb59f0ab5753f105470b4f52a60c628e08283",
"blockId": "83cda2c4fdca250e37af146b18dd97d67a97e29897449c24954e80e320cf4ead",
"value": 1000000,
"index": 0,
"globalIndex": 54045390,
"creationHeight": 1738405,
"settlementHeight": 1738407,
"ergoTree": "18d80a5b0406040004000440044204440446040a04000400041004040402040004400440046c0400042c040004400500058004058080801005000580040580800805000580040580040500058004050001010428042a05000580040580040500058004050205040402040204020408040004040504040404000101040004000580c78c0204060518040805000400050405140404041604800104000440044004800105020e20ccd0a8c510710926afcdf25364fbf6100b7078c84df44ac2b8fd6326b99496d50400044004000440046404ac010402010104000402044004500402044004500450046005000418d805d6017ea305d602e4c6a70411d603b27202730000d604e4c6a7051ad605e4c6a7061a958f72017203d810d606b2a5730100d607db6501fed608b27207730200d609e4e3040ed60ab17204d60be4e3010ed60ce4e3050ed60de4e3020ed60e7eb2720c73030005d60f7eb2720c73040005d6107eb2720c73050005d6117eb2720c73060005d612b27202730700d613e4c67206051ad614e4c67206061ad615b17205d1edededededededededededededededed93c27206c2a793e4c6720604117202aedb63087208d901164d0e938c721601720993b272027308007cb4cb72097309730a8f7e720a05b27202730b0093e4dc640ae4c6b27207730c00056402720be4e3000e720ced93b4720d730d730e720b93b4720d730f7310b4720c73117312af7204d901160e94b4721673137314720b9272019a9a9a9c958f720e73159a720e7316720e73179c958f720f73189a720f7319720f731a9c958f7210731b9a7210731c7210731d958f7211731e9a7211731f72119593721273207321d805d6167eb2720c73220005d6177eb2720c73230005d6189a9c958f721673249a7216732572167326958f721773279a721773287217d619e4c672080911d61a7d9c9972127329732a04ed927218b27219721a00907218b272199a721a732b0093b172139a720a732c93b27213720a00720dafdb0c0e7204d901160493b27213721600b2720472160093b172149a7215732d93b27214721500e4e3030eafdb0c0e7205d901160493b27214721600b2720572160092c172069ac1a7b27202732e00d804d606e4e30104d607b2db6501fe732f00d608aedb63087207d901084d0e938c720801e4e3000ed609e4c672070411d1959372067330d801d60ab17204ededed72089272019a720373318f720a73329593720a73337334d801d60bb2a5733500ed93c2720bb2720573360092c1720b99c1a77337959372067338d801d60adb0c0e7205ededed72089172019a72037339af720ad9010b04d801d60db2a5720b00ed93c2720db27205720b0092c1720db27202733a0090b0720a733bd9010b41049a8c720b01c1b2a58c720b0200c1a7d807d60ab17204d60bb2a5733c00d60ce4c6720b090ed60de4e3030ed60ee4c6720b071ad60fb1720ed610c1a7edededededededededededededed7208ed9272019a7203733d9072019a7203733e92720a733f93e4c6720b0411720293e4c6720b051a720492e4c6720b06059a7201b2720973400093e4c6720b080ee4e3020eeded93b1720c734193b4720c73427343c5a793b4720c73447345720daedb6502fed9011168ed93db68017211720d93db680972117d9a720373460493cbc2720b734793720f720aaf720ed901110eaedb0c0e7204d9011304ed93b4b2720472130073487349b47211734a734b93b27205721300b47211734c734d9590720f734e734fafb4db0c0e720e735099720f7351d9011104927cb4b2720e721100735273537cb4b2720e9a72117354007355735690b0ad720ed901110e7cb47211735773587359d90111599a8c7211018c721102721092c1720b9a7210b27209735a00",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 32\n4: 33\n5: 34\n6: 35\n7: 5\n8: 0\n9: 0\n10: 8\n11: 2\n12: 1\n13: 0\n14: 32\n15: 32\n16: 54\n17: 0\n18: 22\n19: 0\n20: 32\n21: 0\n22: 256\n23: 16777216\n24: 0\n25: 256\n26: 65536\n27: 0\n28: 256\n29: 256\n30: 0\n31: 256\n32: 0\n33: true\n34: 20\n35: 21\n36: 0\n37: 256\n38: 256\n39: 0\n40: 256\n41: 1\n42: 2\n43: 1\n44: 1\n45: 1\n46: 4\n47: 0\n48: 2\n49: 2\n50: 2\n51: 0\n52: true\n53: 0\n54: 0\n55: 2200000\n56: 3\n57: 12\n58: 4\n59: 0\n60: 0\n61: 2\n62: 10\n63: 2\n64: 11\n65: 64\n66: 0\n67: 32\n68: 32\n69: 64\n70: 1\n71: Coll(-52,-48,-88,-59,16,113,9,38,-81,-51,-14,83,100,-5,-10,16,11,112,120,-56,77,-12,74,-62,-72,-3,99,38,-71,-108,-106,-43)\n72: 0\n73: 32\n74: 0\n75: 32\n76: 50\n77: 86\n78: 1\n79: true\n80: 0\n81: 1\n82: 32\n83: 40\n84: 1\n85: 32\n86: 40\n87: 40\n88: 48\n89: 0\n90: 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 = coll12(placeholder[Int](6)).toLong\n val l18 = coll2(placeholder[Int](7))\n val coll19 = box6.R5[Coll[Coll[Byte]]].get\n val coll20 = box6.R6[Coll[Coll[Byte]]].get\n val i21 = 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 {(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll9 }\n )\n ) && (coll2(placeholder[Int](8)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](9), placeholder[Int](10))))\n ) && (i10.toLong < coll2(placeholder[Int](11)))\n ) && (coll7(placeholder[Int](12)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n ) && (\n (coll13.slice(placeholder[Int](13), placeholder[Int](14)) == coll11) && (\n coll13.slice(placeholder[Int](15), placeholder[Int](16)) == coll12.slice(placeholder[Int](17), placeholder[Int](18))\n )\n )\n ) && coll4.forall({(coll22: Coll[Byte]) => coll22.slice(placeholder[Int](19), placeholder[Int](20)) != coll11 })\n ) && (\n l1 >= if (l14 < placeholder[Long](21)) { l14 + placeholder[Long](22) } else { l14 } * placeholder[Long](23) + if (l15 < placeholder[\n Long\n ](24)) { l15 + placeholder[Long](25) } else { l15 } * placeholder[Long](26) + if (l16 < placeholder[Long](27)) {\n l16 + placeholder[Long](28)\n } else { l16 } * placeholder[Long](29) + if (l17 < placeholder[Long](30)) { l17 + placeholder[Long](31) } else { l17 }\n )\n ) && if (l18 == placeholder[Long](32)) { placeholder[Boolean](33) } else {(\n val l22 = coll12(placeholder[Int](34)).toLong\n val l23 = coll12(placeholder[Int](35)).toLong\n val l24 = if (l22 < placeholder[Long](36)) { l22 + placeholder[Long](37) } else { l22 } * placeholder[Long](38) + if (l23 < placeholder[\n Long\n ](39)) { l23 + placeholder[Long](40) } else { l23 }\n val coll25 = box8.R9[Coll[Long]].get\n val i26 = l18 - placeholder[Long](41) * placeholder[Long](42).toInt\n (l24 >= coll25(i26)) && (l24 <= coll25(i26 + placeholder[Int](43)))\n )}\n ) && (coll19.size == i10 + placeholder[Int](44))\n ) && (coll19(i10) == coll13)\n ) && coll4.indices.forall({(i22: Int) => coll19(i22) == coll4(i22) })\n ) && (coll20.size == i21 + placeholder[Int](45))\n ) && (coll20(i21) == getVar[Coll[Byte]](3.toByte).get)\n ) && coll5.indices.forall({(i22: Int) => coll20(i22) == coll5(i22) })\n ) && (box6.value >= SELF.value + coll2(placeholder[Int](46)))\n )\n )} else {(\n val i6 = getVar[Int](1.toByte).get\n val box7 = CONTEXT.dataInputs(placeholder[Int](47))\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](48)) {(\n val i10 = coll4.size\n ((bool8 && (l1 >= l3 + placeholder[Long](49))) && (i10 < placeholder[Int](50))) && if (i10 == placeholder[Int](51)) { placeholder[Boolean](52) } else {(\n val box11 = OUTPUTS(placeholder[Int](53))\n (box11.propositionBytes == coll5(placeholder[Int](54))) && (box11.value >= SELF.value - placeholder[Long](55))\n )}\n )} else { if (i6 == placeholder[Int](56)) {(\n val coll10 = coll5.indices\n ((bool8 && (l1 > l3 + placeholder[Long](57))) && coll10.forall({(i11: Int) =>\n val box13 = OUTPUTS(i11)\n (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](58)))\n })) && (coll10.fold(placeholder[Long](59), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n )} else {(\n val i10 = coll4.size\n val box11 = OUTPUTS(placeholder[Int](60))\n val coll12 = box11.R9[Coll[Byte]].get\n val coll13 = getVar[Coll[Byte]](3.toByte).get\n val coll14 = box11.R7[Coll[Coll[Byte]]].get\n val i15 = coll14.size\n val l16 = SELF.value\n (((((((((((((bool8 && ((l1 >= l3 + placeholder[Long](61)) && (l1 <= l3 + placeholder[Long](62)))) && (i10 >= placeholder[Int](63))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](64)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (((coll12.size == placeholder[Int](65)) && (coll12.slice(placeholder[Int](66), placeholder[Int](67)) == SELF.id)) && (coll12.slice(placeholder[Int](68), placeholder[Int](69)) == coll13))) && CONTEXT.headers.exists({(header17: Header) => (header17.id == coll13) && (header17.height == l3 + placeholder[Long](70).toInt) })) && (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](71))) && (i15 == i10)) && coll14.forall({(coll17: Coll[Byte]) => coll4.indices.exists({(i19: Int) => (coll4(i19).slice(placeholder[Int](72), placeholder[Int](73)) == coll17.slice(placeholder[Int](74), placeholder[Int](75))) && (coll5(i19) == coll17.slice(placeholder[Int](76), placeholder[Int](77))) }) })) && if (i15 <= placeholder[Int](78)) { placeholder[Boolean](79) } else { coll14.indices.slice(placeholder[Int](80), i15 - placeholder[Int](81)).forall({(i17: Int) => byteArrayToLong(coll14(i17).slice(placeholder[Int](82), placeholder[Int](83))) >= byteArrayToLong(coll14(i17 + placeholder[Int](84)).slice(placeholder[Int](85), placeholder[Int](86))) }) }) && (coll14.map({(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(placeholder[Int](87), placeholder[Int](88))) }).fold(placeholder[Long](89), {(tuple17: (Long, Long)) => tuple17._1 + tuple17._2 }) <= l16)) && (box11.value >= l16 + coll9(placeholder[Int](90)))\n )} })\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1107a2afb7e29e81e6b4190028de9ad40180dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[915580945944734673,0,20,1738415,10000000,0,0]"
},
"R5": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R6": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
"spentTransactionId": "34b76f0b11dc8efa494cf2022875dc2d42d7b0231eadcc73bdddac90bd8ab9c9",
"mainChain": true
},
{
"boxId": "cd7f67248254a8bd42426624b21ed9e6eac09ef93cd2e843896cbe6865c113da",
"transactionId": "71a4e3335ee1cb6d797e0ea5825cb59f0ab5753f105470b4f52a60c628e08283",
"blockId": "83cda2c4fdca250e37af146b18dd97d67a97e29897449c24954e80e320cf4ead",
"value": 1000000,
"index": 1,
"globalIndex": 54045391,
"creationHeight": 1738405,
"settlementHeight": 1738407,
"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": "891cf09924dbe3eb940728e2ab30edc8f3e68e12ba96982dbf8b1e9eaab1a337",
"mainChain": true
},
{
"boxId": "8c2f02c27da0a3f74dee97ffaf87a899932044ccab4877a682274426b0de44cd",
"transactionId": "71a4e3335ee1cb6d797e0ea5825cb59f0ab5753f105470b4f52a60c628e08283",
"blockId": "83cda2c4fdca250e37af146b18dd97d67a97e29897449c24954e80e320cf4ead",
"value": 505284533,
"index": 2,
"globalIndex": 54045392,
"creationHeight": 1738405,
"settlementHeight": 1738407,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0b0bd3a60290c23eafbfec65bfa6a887ac79e72c97efc911d8d70bb03ab92572",
"mainChain": true
}
],
"size": 1659,
"isUnconfirmed": false
}