Transaction
ID: 6f59ac51a3...cf9e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.887 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:
0.886 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 546,125
Total coins transferred: 0.888 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000057 ERG
Raw Transaction Data
{
"id": "6f59ac51a304a5a336fe2c35ff5bfa1cecf883df79a8b1689a097afff596cf9e",
"blockId": "743a9a3753bd4f5fd31f9cd80c285d23487f8e7ea3d2adec2a92caf8a29ece5c",
"inclusionHeight": 1216412,
"timestamp": 1709903437071,
"index": 15,
"globalIndex": 6775787,
"numConfirmations": 546125,
"inputs": [
{
"boxId": "0b2cb874fd83099dfad2747fbed55d66fba9bec9276a46a8ef76766a8d29a39c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3bdfbbb859e062e87ff4bd80ee6b0f9141f0718ff9661b3f327a66b83a9d1146",
"outputTransactionId": "65ae93d4f8583ba66e114ddb63518ead372ec411be119a8bc2195cb38f4818b2",
"outputIndex": 0,
"outputGlobalIndex": 37706392,
"outputCreatedAt": 1216259,
"outputSettledAt": 1216261,
"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(31,99,51,-72,-93,79,66,-65,0,-48,104,0,-81,28,6,-37,68,38,-23,104,-85,-69,20,-10,-9,-18,79,9,-94,-93,109,55)\n3: 0\n4: Coll(119,2,14,31,56,-84,-17,106,90,103,65,-44,1,85,-85,3,-96,-52,75,11,-66,105,-60,28,-35,-30,-8,-31,13,126,-13,-123)\n5: 0\n6: 15\n7: 15\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: 360\n37: 2\n38: 1\n39: 0\n40: 0\n41: 0\n42: 360\n43: 0\n44: 0\n45: 0\n46: 0\n47: 600000000\n48: 1000\n49: 500\n50: 1\n51: 0\n52: 1\n53: 1\n54: false\n55: 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 = tuple26._2\n val coll31 = tuple26._1\n val l32 = tuple24._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 = l32\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l30\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 == tuple17)) && (coll13 == coll18)) && (l14 == placeholder[Long](39))) && (l16 == placeholder[Long](40))) && (l15 == placeholder[Long](41))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](42))) && (tuple12 == (placeholder[Long](43), placeholder[Long](44)))) && (l14 == placeholder[Long](45))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](46))\n if ((l21 > placeholder[Long](47)) && (l27 * placeholder[Long](48) / l21 > placeholder[Long](49))) {(\n val box36 = OUTPUTS(placeholder[Int](50))\n val tuple37 = box36.tokens(placeholder[Int](51))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](52)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l30 == l32 - placeholder[Long](53)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](54) && (HEIGHT > placeholder[Int](55)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "046e0f6a56620f2d24c33b49b791bb8f6f88a91bee7e035fdcbe8a90c17ac11b",
"index": 0,
"amount": 8999999100000000,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59c0cf2400",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[300000,0]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "058088debe01",
"sigmaType": "SLong",
"renderedValue": "200000000"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05f4bd9401",
"sigmaType": "SLong",
"renderedValue": "1216378"
}
}
},
{
"boxId": "fc8c7a63d5c31d321699e4111ebad5afd2f73ebf7310ed79c56431469aabb6e3",
"value": 887000000,
"index": 1,
"spendingProof": "13bda3129cb71e163e9f875b59b3ae870d413cbbaa43157f32cf9e52a0084e451acaf3e7c7702cb0ad5e85716ef4abeb96d0639ea9c17c19",
"outputBlockId": "9a7c3f3e38333febf3b51b1999df62a98ddc5e15443e5a8c9f7eb524dd243c0b",
"outputTransactionId": "eb2b6535374b7766521ee804cfbc17ffeb2a3a20c6957fd5e23876d119f32020",
"outputIndex": 1,
"outputGlobalIndex": 37693894,
"outputCreatedAt": 1216050,
"outputSettledAt": 1216052,
"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": "631e3830c3da772ccb7f12caf2cf967a985f6f1f85be4a96990509bb099a7343",
"transactionId": "6f59ac51a304a5a336fe2c35ff5bfa1cecf883df79a8b1689a097afff596cf9e",
"blockId": "743a9a3753bd4f5fd31f9cd80c285d23487f8e7ea3d2adec2a92caf8a29ece5c",
"value": 1000000,
"index": 0,
"globalIndex": 37714884,
"creationHeight": 1216410,
"settlementHeight": 1216412,
"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(31,99,51,-72,-93,79,66,-65,0,-48,104,0,-81,28,6,-37,68,38,-23,104,-85,-69,20,-10,-9,-18,79,9,-94,-93,109,55)\n3: 0\n4: Coll(119,2,14,31,56,-84,-17,106,90,103,65,-44,1,85,-85,3,-96,-52,75,11,-66,105,-60,28,-35,-30,-8,-31,13,126,-13,-123)\n5: 0\n6: 15\n7: 15\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: 360\n37: 2\n38: 1\n39: 0\n40: 0\n41: 0\n42: 360\n43: 0\n44: 0\n45: 0\n46: 0\n47: 600000000\n48: 1000\n49: 500\n50: 1\n51: 0\n52: 1\n53: 1\n54: false\n55: 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 = tuple26._2\n val coll31 = tuple26._1\n val l32 = tuple24._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 = l32\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l30\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 == tuple17)) && (coll13 == coll18)) && (l14 == placeholder[Long](39))) && (l16 == placeholder[Long](40))) && (l15 == placeholder[Long](41))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](42))) && (tuple12 == (placeholder[Long](43), placeholder[Long](44)))) && (l14 == placeholder[Long](45))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](46))\n if ((l21 > placeholder[Long](47)) && (l27 * placeholder[Long](48) / l21 > placeholder[Long](49))) {(\n val box36 = OUTPUTS(placeholder[Int](50))\n val tuple37 = box36.tokens(placeholder[Int](51))\n ((((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](52)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && (box36.R7[Long].get == l2)) && ((coll31 == coll28) && (l30 == l32 - placeholder[Long](53)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](54) && (HEIGHT > placeholder[Int](55)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "046e0f6a56620f2d24c33b49b791bb8f6f88a91bee7e035fdcbe8a90c17ac11b",
"index": 0,
"amount": 8999999100000000,
"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": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05c4c39401",
"sigmaType": "SLong",
"renderedValue": "1216738"
}
},
"spentTransactionId": "b40260518b507fa29c057216bbc3b201ab0018ccb0ccf754ae79c214a2c4c214",
"mainChain": true
},
{
"boxId": "b22e3ec0b3dcd990c1879f974db3962417b0f36944af3ff24bc693b461ffc5a2",
"transactionId": "6f59ac51a304a5a336fe2c35ff5bfa1cecf883df79a8b1689a097afff596cf9e",
"blockId": "743a9a3753bd4f5fd31f9cd80c285d23487f8e7ea3d2adec2a92caf8a29ece5c",
"value": 886000000,
"index": 1,
"globalIndex": 37714885,
"creationHeight": 1216410,
"settlementHeight": 1216412,
"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": "6d8a684f0d901b655c91c9e18c078bc8f586c73bfd3cf839c011a9ba6d8a15eb",
"mainChain": true
},
{
"boxId": "d17682801da4163ad2e5a667a0502642ff12a9a991b1fb0dd0c5e2da9f5dd5d9",
"transactionId": "6f59ac51a304a5a336fe2c35ff5bfa1cecf883df79a8b1689a097afff596cf9e",
"blockId": "743a9a3753bd4f5fd31f9cd80c285d23487f8e7ea3d2adec2a92caf8a29ece5c",
"value": 1000000,
"index": 2,
"globalIndex": 37714886,
"creationHeight": 1216410,
"settlementHeight": 1216412,
"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": "ccaefc8379b48b1d4404c9fcfd64aa4030eb27160c6ccc6983447dc7d89957d2",
"mainChain": true
}
],
"size": 1754,
"isUnconfirmed": false
}