Transaction
ID: a71624bee7...4f86
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.927 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.926 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 555,981
Total coins transferred: 0.928 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000568 ERG
Raw Transaction Data
{
"id": "a71624bee712baa1eb27b6d20ac7a8d29cdebb98df5aa417ee5dc657eff04f86",
"blockId": "ea070ee6ca9e13d4e5b0198a071c6ee4f979b323dcb20a9bdf3fbdd2f770dc35",
"inclusionHeight": 1200636,
"timestamp": 1707992604952,
"index": 5,
"globalIndex": 6633946,
"numConfirmations": 555981,
"inputs": [
{
"boxId": "404eac7ddb2c26d8c1adccbd366d77ee7b7b892e4796c055d10fd5d47768965b",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e0ed570935d8f33b456d91260ecc4c0b6bd5b5324d967792a86482c594ee6869",
"outputTransactionId": "341891ec05fa3a1ef04f16752f5eb01bb0541bd0a4a62555bc0ed352e7e4196f",
"outputIndex": 0,
"outputGlobalIndex": 36915815,
"outputCreatedAt": 1200399,
"outputSettledAt": 1200401,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(46,-98,85,125,-125,90,-112,-28,-22,-8,84,-36,-119,-15,-47,-122,89,-21,118,-60,40,80,-117,85,-95,-47,-52,54,-32,1,-72,88)\n1: 0\n2: Coll(68,10,112,-8,5,53,-100,-125,65,49,-67,-118,-48,-21,40,-20,86,-121,112,55,92,78,-24,-110,39,48,122,-71,31,126,-69,53)\n3: 0\n4: Coll(75,-121,119,-121,28,-63,-119,33,-105,19,56,-39,65,-96,-29,51,38,45,-33,-38,122,-115,-96,60,-37,-118,-80,50,127,-105,-76,-104)\n5: 0\n6: 150\n7: 150\n8: 100\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1500000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 720\n37: 2\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 720\n45: 0\n46: 0\n47: 0\n48: 0\n49: 600000000\n50: 1000\n51: 500\n52: 1\n53: 0\n54: 1\n55: 1\n56: false\n57: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && ((((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](36)))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](37)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](38)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](39), placeholder[Long](40)))) && (l14 == placeholder[Long](41))) && (l16 == placeholder[Long](42))) && (l15 == placeholder[Long](43))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](44))) && (tuple12 == (placeholder[Long](45), placeholder[Long](46)))) && (l14 == placeholder[Long](47))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](48))\n if ((l21 > placeholder[Long](49)) && (l27 * placeholder[Long](50) / l21 > placeholder[Long](51))) {(\n val box36 = OUTPUTS(placeholder[Int](52))\n val tuple37 = box36.tokens(placeholder[Int](53))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](54)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](55)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](56) && (HEIGHT > placeholder[Int](57)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "fdfb125455d1dda9ab23a28e4d1db1f68675635043641dde2fcaef452cc2b9e6",
"index": 0,
"amount": 8999999009999999,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5980e6d5028090bcfd02",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[2800000,400000000]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "058088debe01",
"sigmaType": "SLong",
"renderedValue": "200000000"
},
"R7": {
"serializedValue": "058099b6fe02",
"sigmaType": "SLong",
"renderedValue": "401000000"
},
"R9": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R4": {
"serializedValue": "059ac39201",
"sigmaType": "SLong",
"renderedValue": "1200333"
}
}
},
{
"boxId": "2eb78df669887902f25f83a656a7da20c815cbae7538f562d3d809a06073fc1f",
"value": 927000000,
"index": 1,
"spendingProof": "e701f3591d2ceb97a6520ed7689947c5100310a919dbdfa831d4487740224fc80671592a19f83cc98653d8ce07276ff358c831e6c9a15ee4",
"outputBlockId": "3b36a540e1d516bbdf8b0374dbfd099bcfe4e11e8c5929db3104a0ceb8f7fd2e",
"outputTransactionId": "a9848e9c690794e14fc6433e04b36a78ee66fbcc72d44af2d9ef6a4ef6b10f84",
"outputIndex": 1,
"outputGlobalIndex": 36899202,
"outputCreatedAt": 1199914,
"outputSettledAt": 1199916,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604c901ea027300d192a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -101",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT >= placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P17LFEn2JjiisG6bRJDHnC2",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "e71c3326537281c019bc80675c39948e7e8c00ea6516d52cefdcd5c0ebed9a07",
"transactionId": "a71624bee712baa1eb27b6d20ac7a8d29cdebb98df5aa417ee5dc657eff04f86",
"blockId": "ea070ee6ca9e13d4e5b0198a071c6ee4f979b323dcb20a9bdf3fbdd2f770dc35",
"value": 1000000,
"index": 0,
"globalIndex": 36921395,
"creationHeight": 1200634,
"settlementHeight": 1200636,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(46,-98,85,125,-125,90,-112,-28,-22,-8,84,-36,-119,-15,-47,-122,89,-21,118,-60,40,80,-117,85,-95,-47,-52,54,-32,1,-72,88)\n1: 0\n2: Coll(68,10,112,-8,5,53,-100,-125,65,49,-67,-118,-48,-21,40,-20,86,-121,112,55,92,78,-24,-110,39,48,122,-71,31,126,-69,53)\n3: 0\n4: Coll(75,-121,119,-121,28,-63,-119,33,-105,19,56,-39,65,-96,-29,51,38,45,-33,-38,122,-115,-96,60,-37,-118,-80,50,127,-105,-76,-104)\n5: 0\n6: 150\n7: 150\n8: 100\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1500000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 720\n37: 2\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 720\n45: 0\n46: 0\n47: 0\n48: 0\n49: 600000000\n50: 1000\n51: 500\n52: 1\n53: 0\n54: 1\n55: 1\n56: false\n57: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && ((((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](36)))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](37)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](38)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](39), placeholder[Long](40)))) && (l14 == placeholder[Long](41))) && (l16 == placeholder[Long](42))) && (l15 == placeholder[Long](43))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](44))) && (tuple12 == (placeholder[Long](45), placeholder[Long](46)))) && (l14 == placeholder[Long](47))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](48))\n if ((l21 > placeholder[Long](49)) && (l27 * placeholder[Long](50) / l21 > placeholder[Long](51))) {(\n val box36 = OUTPUTS(placeholder[Int](52))\n val tuple37 = box36.tokens(placeholder[Int](53))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](54)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](55)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](56) && (HEIGHT > placeholder[Int](57)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "fdfb125455d1dda9ab23a28e4d1db1f68675635043641dde2fcaef452cc2b9e6",
"index": 0,
"amount": 8999999009999999,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "590000",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R4": {
"serializedValue": "05bace9201",
"sigmaType": "SLong",
"renderedValue": "1201053"
}
},
"spentTransactionId": "d3bab1f0d6b55e8ebb8aea71bf0773628d4d60a9fb0fb0df653dcdf5ebd46d8e",
"mainChain": true
},
{
"boxId": "184767143985e9a8bd216c9d078f54763b878a05b5af92535a3c5321e889f460",
"transactionId": "a71624bee712baa1eb27b6d20ac7a8d29cdebb98df5aa417ee5dc657eff04f86",
"blockId": "ea070ee6ca9e13d4e5b0198a071c6ee4f979b323dcb20a9bdf3fbdd2f770dc35",
"value": 926000000,
"index": 1,
"globalIndex": 36921396,
"creationHeight": 1200634,
"settlementHeight": 1200636,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604c901ea027300d192a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -101",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT >= placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P17LFEn2JjiisG6bRJDHnC2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "81a7dea12a05dec97c018cbd88b3381eddf282054f2696a371c2d683471ce54f",
"mainChain": true
},
{
"boxId": "b83858aa2c46d1d2c9ba6efce4f9967ee4cd42fffb88bd0543b9818f0909aa52",
"transactionId": "a71624bee712baa1eb27b6d20ac7a8d29cdebb98df5aa417ee5dc657eff04f86",
"blockId": "ea070ee6ca9e13d4e5b0198a071c6ee4f979b323dcb20a9bdf3fbdd2f770dc35",
"value": 1000000,
"index": 2,
"globalIndex": 36921397,
"creationHeight": 1200634,
"settlementHeight": 1200636,
"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": "fac32d3846a10ea5d192b9cb2af4ea8e07fcd5c17bb764f04c0639a8cb99436b",
"mainChain": true
}
],
"size": 1760,
"isUnconfirmed": false
}