Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.664 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.663 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.73 KB
Received time: 7/3/2024 02:59:30 PM
Included in blocks: 1,300,001
Confirmations: 469,813
Total coins transferred: 0.665 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000566 ERG
Raw Transaction Data
{
  "id": "50f35dd872322813dbb564f4bda3312a129e189440541aa078ef1824758e5866",
  "blockId": "b300b2701ab93f0637bb23083ae8fd1bf91dbdafc7bdbebe098c608e368d77aa",
  "inclusionHeight": 1300001,
  "timestamp": 1720018770958,
  "index": 8,
  "globalIndex": 7431313,
  "numConfirmations": 469813,
  "inputs": [
    {
      "boxId": "e743260bfd7d015b35dc3b961e44d26ca92779cd87e709ad7c96f69b3c648644",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "ade17d9bf9fd6d0a852fc29f83a159c9d32ef2fd71590a6958aa044a8d3538ed",
      "outputTransactionId": "eb4325c3d13bda229101b7487c249c5c4f7e3a13c5e1e43a9c063fb203f14180",
      "outputIndex": 0,
      "outputGlobalIndex": 41209072,
      "outputCreatedAt": 1299891,
      "outputSettledAt": 1299893,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(35,69,61,28,-92,106,47,25,63,-70,75,13,125,123,-33,-77,51,-92,-78,-27,62,-61,115,-28,27,87,2,-114,104,116,47,25)\n3: 0\n4: Coll(62,-125,-38,-77,116,-119,-116,-8,118,109,87,-37,38,-57,37,87,-30,-111,-93,-45,-81,-38,-54,-73,94,89,107,0,-64,-22,-30,37)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 300000000000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 600000000\n52: 0\n53: 1000\n54: 500\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: false\n61: 0",
      "ergoTreeScript": "{\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 coll12 = box4.R5[Coll[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 coll17 = SELF.R5[Coll[Long]].get\n  val coll18 = SELF.R6[Coll[Byte]].get\n  val l19 = SELF.R7[Long].get\n  val l20 = SELF.R9[Long].get\n  val coll21 = placeholder[Coll[Byte]](2)\n  val tuple22 = coll10(placeholder[Int](3))\n  val coll23 = placeholder[Coll[Byte]](4)\n  val tuple24 = coll9(placeholder[Int](5))\n  val coll25 = tuple22._1\n  val l26 = tuple24._2\n  val coll27 = tuple24._1\n  val l28 = tuple22._2\n  val l29 = l2 + placeholder[Long](6)\n  val l30 = l29 + placeholder[Long](7)\n  sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n      val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n      val tuple32 = box31.tokens(placeholder[Int](10))\n      val l33 = tuple32._2\n      (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n    )} else { if ((l1 > l2) && (l1 < l29)) {(\n        val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n        val i32 = coll17.size\n        val coll33 = coll17.slice(placeholder[Int](18), i32)\n        ((((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n                            val box36 = tuple34._2\n                            val l37 = tuple34._1\n                            if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n                          })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (i32 == coll12.size)) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n                  val box36 = tuple34._2\n                  val l37 = tuple34._1\n                  if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n                }))) && coll31.forall({(box34: Box) =>\n              val coll36 = box34.tokens\n              ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n            })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n      )} else { if ((l1 > l29) && (l1 < l30)) {(\n          val box31 = INPUTS(placeholder[Int](31))\n          val tuple32 = box31.tokens(placeholder[Int](32))\n          val coll33 = coll25\n          val l34 = l28\n          val box35 = OUTPUTS(placeholder[Int](33))\n          val tuple36 = box35.tokens(placeholder[Int](34))\n          val coll37 = coll27\n          val l38 = l26\n          ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n        )} else { if (l1 > l30) {(\n            val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && (coll12(placeholder[Int](46)) == placeholder[Long](47))) && (l14 == placeholder[Long](48))) && (l16 == placeholder[Long](49))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](50))\n            if ((l19 > placeholder[Long](51)) && (coll17(placeholder[Int](52)) * placeholder[Long](53) / l19 > placeholder[Long](54))) {(\n              val box32 = OUTPUTS(placeholder[Int](55))\n              val tuple33 = box32.tokens(placeholder[Int](56))\n              ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](57)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](58), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](59)))\n            )} else { bool31 && (coll9 == coll10) }\n          )} else { placeholder[Boolean](60) && (HEIGHT > placeholder[Int](61)) } } } })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "25437a86c8c1a0c493859b821ffcb08746869ce68493fb3b1a5d0a2a080612bf",
          "index": 0,
          "amount": 8999999100000000,
          "name": "Counter Box Token - Params",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110580c2d72f02d804a006880e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[50000000,1,300,400,900]"
        },
        "R6": {
          "serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
        },
        "R8": {
          "serializedValue": "0580b8b872",
          "sigmaType": "SLong",
          "renderedValue": "120000000"
        },
        "R7": {
          "serializedValue": "0580c2d72f",
          "sigmaType": "SLong",
          "renderedValue": "50000000"
        },
        "R9": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "05d8d69e01",
          "sigmaType": "SLong",
          "renderedValue": "1299884"
        }
      }
    },
    {
      "boxId": "d90fb15d9bbedb89fb2e51c8b146c4fe1f836a0f72a60cb472d257ccffe68946",
      "value": 664000000,
      "index": 1,
      "spendingProof": "128625794e5e68fe8416112ab2f3feb4d8fced8df92efc69a20cbdd1d1187d4475f787fcd6ab6bf98240446161f4e4789e6ee94699a11b15",
      "outputBlockId": "abecad1c71f848280133d5dfa11f72919dc537f7e1ba24b6e01916be9b0e780d",
      "outputTransactionId": "df9ceb6a2286564c15b528f6d1630361cd022b0a7c06917933d67cb6adbf2d48",
      "outputIndex": 2,
      "outputGlobalIndex": 41042948,
      "outputCreatedAt": 1294013,
      "outputSettledAt": 1294015,
      "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": "04ae60a4e3448f0cabc63369a907fd2cf1364d3c6cca5b3735608a980dec9f60",
      "transactionId": "50f35dd872322813dbb564f4bda3312a129e189440541aa078ef1824758e5866",
      "blockId": "b300b2701ab93f0637bb23083ae8fd1bf91dbdafc7bdbebe098c608e368d77aa",
      "value": 1000000,
      "index": 0,
      "globalIndex": 41211966,
      "creationHeight": 1299999,
      "settlementHeight": 1300001,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(35,69,61,28,-92,106,47,25,63,-70,75,13,125,123,-33,-77,51,-92,-78,-27,62,-61,115,-28,27,87,2,-114,104,116,47,25)\n3: 0\n4: Coll(62,-125,-38,-77,116,-119,-116,-8,118,109,87,-37,38,-57,37,87,-30,-111,-93,-45,-81,-38,-54,-73,94,89,107,0,-64,-22,-30,37)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 300000000000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 600000000\n52: 0\n53: 1000\n54: 500\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: false\n61: 0",
      "ergoTreeScript": "{\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 coll12 = box4.R5[Coll[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 coll17 = SELF.R5[Coll[Long]].get\n  val coll18 = SELF.R6[Coll[Byte]].get\n  val l19 = SELF.R7[Long].get\n  val l20 = SELF.R9[Long].get\n  val coll21 = placeholder[Coll[Byte]](2)\n  val tuple22 = coll10(placeholder[Int](3))\n  val coll23 = placeholder[Coll[Byte]](4)\n  val tuple24 = coll9(placeholder[Int](5))\n  val coll25 = tuple22._1\n  val l26 = tuple24._2\n  val coll27 = tuple24._1\n  val l28 = tuple22._2\n  val l29 = l2 + placeholder[Long](6)\n  val l30 = l29 + placeholder[Long](7)\n  sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n      val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n      val tuple32 = box31.tokens(placeholder[Int](10))\n      val l33 = tuple32._2\n      (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n    )} else { if ((l1 > l2) && (l1 < l29)) {(\n        val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n        val i32 = coll17.size\n        val coll33 = coll17.slice(placeholder[Int](18), i32)\n        ((((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n                            val box36 = tuple34._2\n                            val l37 = tuple34._1\n                            if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n                          })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (i32 == coll12.size)) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n                  val box36 = tuple34._2\n                  val l37 = tuple34._1\n                  if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n                }))) && coll31.forall({(box34: Box) =>\n              val coll36 = box34.tokens\n              ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n            })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n      )} else { if ((l1 > l29) && (l1 < l30)) {(\n          val box31 = INPUTS(placeholder[Int](31))\n          val tuple32 = box31.tokens(placeholder[Int](32))\n          val coll33 = coll25\n          val l34 = l28\n          val box35 = OUTPUTS(placeholder[Int](33))\n          val tuple36 = box35.tokens(placeholder[Int](34))\n          val coll37 = coll27\n          val l38 = l26\n          ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n        )} else { if (l1 > l30) {(\n            val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && (coll12(placeholder[Int](46)) == placeholder[Long](47))) && (l14 == placeholder[Long](48))) && (l16 == placeholder[Long](49))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](50))\n            if ((l19 > placeholder[Long](51)) && (coll17(placeholder[Int](52)) * placeholder[Long](53) / l19 > placeholder[Long](54))) {(\n              val box32 = OUTPUTS(placeholder[Int](55))\n              val tuple33 = box32.tokens(placeholder[Int](56))\n              ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](57)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](58), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](59)))\n            )} else { bool31 && (coll9 == coll10) }\n          )} else { placeholder[Boolean](60) && (HEIGHT > placeholder[Int](61)) } } } })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "25437a86c8c1a0c493859b821ffcb08746869ce68493fb3b1a5d0a2a080612bf",
          "index": 0,
          "amount": 8999999100000000,
          "name": "Counter Box Token - Params",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R6": {
          "serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
        },
        "R8": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R7": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R9": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "05a8dc9e01",
          "sigmaType": "SLong",
          "renderedValue": "1300244"
        }
      },
      "spentTransactionId": "68f9e3b220be1e8f8248b03d45a4c85c8662fd8b498de5f7e4fd4016dd02bd6f",
      "mainChain": true
    },
    {
      "boxId": "1505fade825316fe905437f38691490c7b0bd3cc9e137e76fead478cab3f7e51",
      "transactionId": "50f35dd872322813dbb564f4bda3312a129e189440541aa078ef1824758e5866",
      "blockId": "b300b2701ab93f0637bb23083ae8fd1bf91dbdafc7bdbebe098c608e368d77aa",
      "value": 663000000,
      "index": 1,
      "globalIndex": 41211967,
      "creationHeight": 1299999,
      "settlementHeight": 1300001,
      "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": "66e946da428c82327cf87dc0fcbb5bece94e88d9c3f353c5cbe71fce53a4b058",
      "mainChain": true
    },
    {
      "boxId": "d1788d9e4fccb6abd31d59175ce5e1e036790451ff55bb90a5e776c22b0cd5ef",
      "transactionId": "50f35dd872322813dbb564f4bda3312a129e189440541aa078ef1824758e5866",
      "blockId": "b300b2701ab93f0637bb23083ae8fd1bf91dbdafc7bdbebe098c608e368d77aa",
      "value": 1000000,
      "index": 2,
      "globalIndex": 41211968,
      "creationHeight": 1299999,
      "settlementHeight": 1300001,
      "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": "3928838a80dbaa2fa76f391bfcac98cb93c1559aea76a75c844fa6149580d7ee",
      "mainChain": true
    }
  ],
  "size": 1767,
  "isUnconfirmed": false
}