Ad
Inputs (4)
Output transaction:
Settlement height:
Value:
3.5 ERG
Output transaction:
Settlement height:
Value:
3.5 ERG
Output transaction:
Settlement height:
Value:
3.5 ERG
Output transaction:
Settlement height:
Value:
3.5 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
13 ERG
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
0.9989 ERG
Transaction Details
Status: Confirmed
Size: 2.84 KB
Received time: 2/10/2025 01:22:00 AM
Included in blocks: 1,458,112
Confirmations: 302,683
Total coins transferred: 14 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000378 ERG
Raw Transaction Data
{
  "id": "40ce70635f89bf82ca349c4dccfca1b11646da754d9d0941195f1634f8a9062c",
  "blockId": "b8da697eb9903b77940774eb7e6bf80dfd111ef1f561d36e55e8087e5b8f0f95",
  "inclusionHeight": 1458112,
  "timestamp": 1739150520718,
  "index": 9,
  "globalIndex": 8567951,
  "numConfirmations": 302683,
  "inputs": [
    {
      "boxId": "0e31cd90110dd4fe58a0d173c7d261417818f2a85227d4ff0d775291a44d6fd9",
      "value": 3500000000,
      "index": 0,
      "spendingProof": "9aee3cf3035a3d9e0b98f6eed7eae25368d788802f0687c81924e44eece4b0dc7bcd733923e59f41ad832640df4d5344b488d36b40c7d9e5",
      "outputBlockId": "694aface24d8eb4cad33875cc7b85a10ea73168d8b02e98afd6e1d63e08a98cd",
      "outputTransactionId": "f046a80f79ded8affbfb6742d60db85ebbd9a41533f602495b6ba9a73fb982a5",
      "outputIndex": 2,
      "outputGlobalIndex": 46052878,
      "outputCreatedAt": 1452657,
      "outputSettledAt": 1452659,
      "ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))}",
      "address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "feeffcb31cd8feadbf97f1086639c8b407b64df27a5f40d571631c92af695fd8",
      "value": 3500000000,
      "index": 1,
      "spendingProof": "714ccc8c63e476269c43dd33403d04ce331b2793d7e606b857231251773652534fd4f54ac445ea47867c2e1bb8562b9262baaf850a7841eb",
      "outputBlockId": "694aface24d8eb4cad33875cc7b85a10ea73168d8b02e98afd6e1d63e08a98cd",
      "outputTransactionId": "1e2f3e3974628515e645a01ac3e3a22848c869fc0ef3f3502ef3d8114f4d1934",
      "outputIndex": 2,
      "outputGlobalIndex": 46052884,
      "outputCreatedAt": 1452657,
      "outputSettledAt": 1452659,
      "ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))}",
      "address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "1174588dc336cdc2d92c7c519d0d6cc5b396125b321001b86d2c0f1dbd5843ce",
      "value": 3500000000,
      "index": 2,
      "spendingProof": "9c2bce2904e927f978a038058a21842199c44f770302ea9730173ab42182c330ca050ebdf733d87faa643b7b1d208c0c1285c7a09b268cc1",
      "outputBlockId": "4742dcc23f3863468920732bc1986cf0371ec058f5d14e1d6f1a17bb46d09d63",
      "outputTransactionId": "6ad0bd56c3b5066f772a4cb5576a76074040abc9a0419660bbdd969814ae5371",
      "outputIndex": 2,
      "outputGlobalIndex": 46053231,
      "outputCreatedAt": 1452678,
      "outputSettledAt": 1452680,
      "ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))}",
      "address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "2b16786626666aa61171bf349020862c3ca0082d436b446b642ff289397cf2c1",
      "value": 3500000000,
      "index": 3,
      "spendingProof": "d4519e733906e63cd24ff2903c9c857dd7d70ad429e7f99e9e006d31b734dfe6a5d94821211e22ba9fd2b552cc4d347894b855f569702242",
      "outputBlockId": "4742dcc23f3863468920732bc1986cf0371ec058f5d14e1d6f1a17bb46d09d63",
      "outputTransactionId": "b34d5408b5e4c26a2edc1905705cc6d697ed109c2f3d41f0fd3d961aeef134da",
      "outputIndex": 2,
      "outputGlobalIndex": 46053237,
      "outputCreatedAt": 1452678,
      "outputSettledAt": 1452680,
      "ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))}",
      "address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "76d3d5d3906a3b087bb0f5d4c11389efb4f3686d12c888f601a58f1fbdae9c17",
      "transactionId": "40ce70635f89bf82ca349c4dccfca1b11646da754d9d0941195f1634f8a9062c",
      "blockId": "b8da697eb9903b77940774eb7e6bf80dfd111ef1f561d36e55e8087e5b8f0f95",
      "value": 13000000000,
      "index": 0,
      "globalIndex": 46194249,
      "creationHeight": 1458110,
      "settlementHeight": 1458112,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(-104,-70,111,12,-4,119,88,99,61,82,-22,48,-126,-82,59,-117,56,-76,93,-65,-24,-89,36,125,-23,102,-36,-74,8,-71,0,-114)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(-105,-14,98,-87,-35,-29,-69,-127,-90,-128,-23,113,110,121,-64,-76,-26,-28,-24,-117,19,-9,-123,-84,-55,23,96,79,-64,36,37,-72,-89,-10,-44,-52,-15,40,-118,43,121,-29,-40,116,30,30,32,56,40,19,90,18,-71,47,-115,-60,-14,-46,30,64,115,-114,14,1)",
      "ergoTreeScript": "{\n  val func1 = {(tuple1: (Coll[Box], Coll[Byte])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\n  val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n    tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n  }\n  val coll3 = Coll[Byte]()\n  val opt4 = getVar[Coll[Byte]](1.toByte)\n  val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n  val coll6 = placeholder[Coll[Byte]](3)\n  val coll7 = coll6.slice(32, 64)\n  val coll8 = placeholder[Coll[Byte]](0)\n  val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n  val coll10 = placeholder[Coll[Byte]](2)\n  val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n        val tuple15 = tuple13._2\n        tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n      }) }\n  val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n  val coll13 = Coll[Byte](\n    91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n  )\n  val b14 = getVar[Byte](0.toByte).get\n  val func15 = {(box15: Box) => box15.tokens(1) }\n  val i16 = INPUTS.indexOf(SELF, 0)\n  val func17 = {(l17: Long) =>\n    if (l17 < 128L) { 1 } else {\n      if (l17 < 16384L) { 2 } else {\n        if (l17 < 2097152L) { 3 } else {\n          if (l17 < 268435456L) { 4 } else {\n            if (l17 < 34359738368L) { 5 } else {\n              if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n            }\n          }\n        }\n      }\n    }\n  }\n  sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n            val coll20 = blake2b256(SELF.propositionBytes)\n            val box21 = func1((OUTPUTS, coll20))(0)\n            val coll22 = CONTEXT.dataInputs\n            val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n            val coll24 = opt4.getOrElse(coll3)\n            val coll25 = func1((INPUTS, coll20))\n            val l26 = func5(coll25)\n            val box27 = func2((OUTPUTS, coll7))(0)\n            val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte), Coll[Byte](79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte), Coll[Byte](-80.toByte, -71.toByte, 7.toByte, -85.toByte, -81.toByte, -83.toByte, -115.toByte, -1.toByte, -50.toByte, 47.toByte, -97.toByte, 29.toByte, -6.toByte, 21.toByte, 53.toByte, -64.toByte, 34.toByte, -35.toByte, -96.toByte, 83.toByte, 102.toByte, -12.toByte, -5.toByte, -46.toByte, 127.toByte, 88.toByte, 29.toByte, 19.toByte, 47.toByte, 75.toByte, 35.toByte, -10.toByte), Coll[Byte](-72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n            val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n            val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n            val l31 = func11((coll25, coll10))\n            val coll32 = Coll[Box](box21)\n            val l33 = func11((coll32, coll10))\n            val l34 = func11((coll25, coll29))\n            val l35 = func11((coll32, coll29))\n            val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n                val coll38 = tuple36._1\n                (coll38 != coll10) && (coll38 != coll29)\n              }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n            val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n                val coll39 = tuple37._1\n                (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n              })\n            anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n                    val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.toByte), Coll[Byte](118.toByte, 124.toByte, -86.toByte, -128.toByte, -71.toByte, -114.toByte, 73.toByte, 106.toByte, -40.toByte, -87.toByte, -10.toByte, -119.toByte, -60.toByte, 65.toByte, 10.toByte, -28.toByte, 83.toByte, 50.toByte, 127.toByte, 15.toByte, -107.toByte, -23.toByte, 80.toByte, -124.toByte, -64.toByte, -82.toByte, 32.toByte, 99.toByte, 80.toByte, 121.toByte, 59.toByte, 119.toByte), coll13), coll24)\n                    val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n                    val bool42 = coll10 == coll29\n                    allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n                  )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n                    val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n                    allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n                  )} else { false } }(b14)))\n          )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n            val coll20 = blake2b256(SELF.propositionBytes)\n            val coll21 = func1((INPUTS, coll20))\n            val coll22 = func1((OUTPUTS, coll20))\n            val l23 = func5(coll21)\n            allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n          )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n                val box22 = OUTPUTS(i16)\n                val l23 = box22.value\n                val l24 = SELF.value\n                val coll25 = box22.propositionBytes\n                val coll26 = SELF.bytesWithoutRef\n                val coll27 = SELF.propositionBytes\n                val i28 = SELF.creationInfo._1\n                val coll29 = box22.bytesWithoutRef\n                val i30 = box22.creationInfo._1\n                allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n              )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
      "address": "guXrqWTQ9NiwabyqChfKsVVGdGHDYN9pC9NUneHDsW9hVZSxbowh7WBFbJyx5RPpByya8gNFV8PJaiRgTDFQqzQDSXHaXLbr8TtFV8hMHivGJhAFE8TwH2ZoexA9b2QPc4wuaSLEDHkuRh5hBtg3sYPcudijWoHpJ2smZyepjh4jnLof376pwTA15tCw3TnW3Y2sVTTkwyWX9wrjbPAxxdn9msdjdzfWy2XwW6LPGJGSm4MhgbMWMzr6fB35VmT8ai11GWXH3TNAirK1owGefoULoTmDQx7tRRW7PD7y6AVtkwHVoLjsdcYH5UXuvxvLKCVYvsChC8mG9Bp6GVdiJDvNcGScpK2EKgGs1eZQW3PewqaPe6BvCq1g7F7L5C7JuUdWCzgqVfmuwTGNJC6mXrXjhUTCorc3xHjWcF9GDGPBxeTZwnycg1J7ibEsnDS2uCXTNvHyBMgf3PmJAVNoSPqUNYKvbbaA98VnGxKg6WfajBkC1bhYy3cMaAPwdtHk2ajrfRQvwosu6vHL6UMzSHKRWBFXJnAWyDzQFFXZcuCcLQbtqNY9uPBcHqFgmgxowkwpvN6ajp75t36vScQfDe3JicJoEezcnP5VtHtLTiWP5oZZyL7C9ugxyJjQnEbG7zfnkiKABg5os9TfphtFhW25TRqH1bYNC4y6dwcG6xo33jCcZno69CzMkzvuTduT7TndYwAN2D4nrYmx44LRziAWvmFJjSPLD7aMyYXqpJuUqFBs9v2DUohHTGjBmHoBZASALhHVyJ7xqQD1iYBdeQiYRZXhzwX8xgASEnw4r2nGAYsUsWG9uu52Tme7CvH89LdeiTx92FHEXVdLGgZf8a4RhzmMF7kNFRnAWVpfscAzecPSsS2FjnjgGczTWaxKRCc6MVq4742iVxPBViccRvei2H8DsE112gzjjvLZgormBzfCDGpvtqJkmBSmERpcPKr9jLJdRykesPwdcsczRDMqyjyQXn9HvsLWArCppDK2vjt4JyncNfEt8YXBXsiFgVpXovCxzMXJMD59XF4tgZBrxjsQH2yzsuET3ZL79NnrMcitvDqcoUdnVCzSeCaK9z13YYVFAKTeG3tWY8f6rq8x2wjKw4zjFWUadV4jL3DZ2VvMm4mPqq3Kvc1CtLeNMsQ7fGMGNcFS7oFyw9CyR8WeEENwzDFyjPCmzxyPncYUFM2S1fzdU6w9WFLuQaP4TLXEgEAzz86gW2hgT6WZZGMkky4WM9HhxZAbJ4cUrDJqNfbApipRpCqbgKhGQ6sdBVFaPDfJLRcJaFkFz8N5B51hx5KCJ3AM2StjPDnNXFPMxXknDf4R35PUUUDSyQpNUhfxW6atZxAVQUtCGA9ZtrHNtj6HQpPwbnnhuiHqPyxjSciEGQwCg7SxmT4P58sc6pEovZk3hwktjVemNxwKBwUZnKYvAqnovvocVjCuaYYkMMaXNtjurJCAixYQfDHAhjbFMiZFxSvLtqQRK1jaf3FXvcgkjwkfg5hHRE8AbCUN79KpX4d6RiQRTv6KV7EwhnbuDd7j6iVC7JsE9xBbK6i1fzdWYbHPw7sEGgB1DMvdBg3YyvzoJhBRGH6qBv1qQCr2GVKSNJ9nvURm62NnEwSYU4jWu5qY4P6GdkRnMh1WBdW2JbbtZMuvmikRPajEwbszAxwASavjJePfiyFsEnzzKT4jPCArii1cFBtSqu6cFoPWLAjPay7YiDmopEkjf1qekE879QGhWquM7MGLi5AKvN9zDe3jTXj16WKcBCQHoNiSainYvS3oZ1P4v1HJxXgD3RWh6zK33WoE5LWt6GfFYmGyZpxk6rxopuDVdYM86KXLMCXLMyAiVKcpRqUWG5wF9qpQ46LFkhGbGkefkKj1cVzHkk8xfXztef5a9fw2qaVz4t2B1q4FUaLjzrXDhiVLfSjzauPswnjKKTuPV178Wc7XsT1X389ChHRAPgfMvUDNUb12Tf25qvcNzXaYCboAp7bpZtCBG2zLMPg3gG3T4MgmbuCXVsd6cPr7PREmbgb7unELDCGzas9ymKsmfHCcFQPtaH56Gc4ou9zF4TqNWrxt2uWWosn2mYGzxyHVQF9hMEYVmLYkqJciQSBL9Q2EFp3YNSxftE2G1WCzpgqq7VtptTDYPPTpRbQeKkQA7ZbCfFF6aesJXkqWNsWYtLyRWe9EmefmVofR65SbseUMba5aWK5PpYqpWZ24hcxBUyxksVWKnxy9vfQhp6Z9Fc6EqfrSb3ijvRruFEcLo26Fvq1HHCKvwHqhZxuexyr8GtdgYwRg86Tfg8VhN7osXnFhNphNjt4LgSkcJQwBDXTDzmR8xEXYzo8UXoCjLhPUSVCpZUexDus5uTHm1gSNkDfnBP9f4zgi2fYtemiGPdpJUzz5HirCxJaW896JjXGEU4nQQXkF2yvKnbSVmWwbSiPBLaJDFPafuB7UgcJLGjvtB4HXrKEcGxtjvco8LG3rspXv8S1k5Bvw14tk5s6nzxGPq9FJ2aVdtk5xzctenuCehy5YBet4q5wyfZQgQyirpSWh3rhy5dmWARQinfbSciDg86heoqN6jeeymWDN9n6tUjqVVxmZeqtkNVSzgoomjSSUUi6eabAp4GsGGKNjSKpxVQT3iiUnVcZCdMaoxgkrMPvZJHjsXnz6PwrTLUJPiX3neRPtYUjg9qXvDz5cxhWh3GATPeshyrqXdEx2RPBBDKXKK8NghCTVCbs7X2Tdebj1U2Dxa9wx79Sa3Hx339XaLB5V4Rmv51JLdrJg7nFWPCPTKQ4ERdPTZGwhxibu6kZ811xtjXX19kCxrj3UxQejtjnxakmiauwxS8VDLV9Ltqp6n6aJ9ZyDU48mwKLMD7ACTpk5mRk83rMEEXYFNUqX1tBJgoLi65C38MfJwD9RBUvt525YxvYxdmoehxv9jEWQnSgcUtARHECE9Z42c8pU4HF8mKZhoZY4R8jRQV3KwXPnPpMo57PuxRBgT4qFHpzG7B962cgkeQSkDPQJhdTTLpLUuxxpn2q5KqRpZ96gV8wREC8Wc4uxtNtzdoNzfP5srFuQgsstd2Ut6vaQb61iAbsGhtqPqWvdZvKRQy7cEJny6eWrhkJhcGVJ8FjtY8MM1KCG4XTwV8UU3SBnUJxbNG96EntSqcfS2buVeRCmnHBaTTziADrwngpyCcCzqzwpvirUFudg8ZkkvuG8mPpvwQRJnrYQdnuv213MofnuoX8zFNu9waKGxz8Q7AmDcQCF7PRf",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "fc9b45c872ba69158c75b6e64efea34c476b15e0e3c27c070c30bc6c8d08f395",
      "mainChain": true
    },
    {
      "boxId": "733416560134e59a41f67ccfe053c2de07400734795b947e81bad2e9424dd035",
      "transactionId": "40ce70635f89bf82ca349c4dccfca1b11646da754d9d0941195f1634f8a9062c",
      "blockId": "b8da697eb9903b77940774eb7e6bf80dfd111ef1f561d36e55e8087e5b8f0f95",
      "value": 1100000,
      "index": 1,
      "globalIndex": 46194250,
      "creationHeight": 1458110,
      "settlementHeight": 1458112,
      "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": "2c46403743bf8b9d926dc50f5dedcff2b0424fef375fe77634d70a5bc2873749",
      "mainChain": true
    },
    {
      "boxId": "6186b7f5946d11b291e8e9f2caaed068cd9e012cbe4db42b84d58ffdb2f7ce39",
      "transactionId": "40ce70635f89bf82ca349c4dccfca1b11646da754d9d0941195f1634f8a9062c",
      "blockId": "b8da697eb9903b77940774eb7e6bf80dfd111ef1f561d36e55e8087e5b8f0f95",
      "value": 998900000,
      "index": 2,
      "globalIndex": 46194251,
      "creationHeight": 1458110,
      "settlementHeight": 1458112,
      "ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))}",
      "address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "503a434ea8fb2ddb05908863c411bd5b0246b51183cb99c5014dc4d430c2a397",
      "mainChain": true
    }
  ],
  "size": 2910,
  "isUnconfirmed": false
}