Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.634 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.633 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.83 KB
Received time: 7/8/2024 02:46:52 AM
Included in blocks: 1,303,243
Confirmations: 460,347
Total coins transferred: 0.635 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000532 ERG
Raw Transaction Data
{
  "id": "72f279825eb9f88ebfcdd4cc6e7ce81fece223ee6e3b27df058bef5caa5ebab2",
  "blockId": "8df301fc02973ec9217203c67554b7b2d8bdaf8a28fcdce96b2e62580ba6d914",
  "inclusionHeight": 1303243,
  "timestamp": 1720406812882,
  "index": 1,
  "globalIndex": 7449922,
  "numConfirmations": 460347,
  "inputs": [
    {
      "boxId": "4428e5004392ca89130852103772c3f3b98222af4f15177621366c643eb6e437",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "8f627a0af17e919be0572f22068c1c2e9c092e2385918884a98881b137f8b9be",
      "outputTransactionId": "4acb8edff44e9997f8722fa9ca603d42cb69899ea74824481ac461cc4f7fecdd",
      "outputIndex": 0,
      "outputGlobalIndex": 41306280,
      "outputCreatedAt": 1303239,
      "outputSettledAt": 1303241,
      "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: 0\n3: 1\n4: 2\n5: 0\n6: 2\n7: Coll(49,-87,49,50,-119,84,-59,53,-126,31,-61,-82,7,-42,-13,50,102,-83,-71,-90,-37,60,123,87,107,-97,77,-94,-76,1,-126,52)\n8: 0\n9: Coll(-121,-49,12,41,-11,127,-3,-53,-17,-46,-121,-62,7,-14,112,-67,37,17,-107,69,115,-97,13,-95,-1,-23,34,-104,19,57,-77,59)\n10: 0\n11: 13\n12: 8\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1000000\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 0\n27: 0\n28: 1\n29: 1\n30: 1\n31: 0\n32: 1\n33: 0\n34: 0\n35: Coll(10)\n36: 1\n37: 0\n38: 1\n39: 1\n40: 0\n41: 1\n42: 0\n43: 30000\n44: 1000\n45: 500\n46: false\n47: 1\n48: 45\n49: 2\n50: 1\n51: 0\n52: 0\n53: 45\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 6000\n60: 0\n61: 1000\n62: 500\n63: 1\n64: 0\n65: 1\n66: 1\n67: 1\n68: false\n69: 6",
      "ergoTreeScript": "{\n  val l1 = HEIGHT.toLong\n  val l2 = SELF.R4[Long].get\n  val coll3 = placeholder[Coll[Byte]](0)\n  val coll4 = SELF.R7[Coll[Long]].get\n  val box5 = OUTPUTS(placeholder[Int](1))\n  val coll6 = box5.propositionBytes\n  val coll7 = SELF.propositionBytes\n  val l8 = box5.value\n  val l9 = SELF.value\n  val coll10 = box5.tokens\n  val coll11 = SELF.tokens\n  val l12 = box5.R4[Long].get\n  val coll13 = box5.R5[Coll[Long]].get\n  val coll14 = box5.R6[Coll[Byte]].get\n  val coll15 = box5.R7[Coll[Long]].get\n  val l16 = coll15(placeholder[Int](2))\n  val l17 = coll15(placeholder[Int](3))\n  val l18 = coll15(placeholder[Int](4))\n  val coll19 = box5.R8[Coll[Coll[Byte]]].get\n  val coll20 = SELF.R5[Coll[Long]].get\n  val coll21 = SELF.R6[Coll[Byte]].get\n  val coll22 = SELF.R8[Coll[Coll[Byte]]].get\n  val l23 = coll4(placeholder[Int](5))\n  val l24 = coll4(placeholder[Int](6))\n  val coll25 = placeholder[Coll[Byte]](7)\n  val tuple26 = coll11(placeholder[Int](8))\n  val coll27 = placeholder[Coll[Byte]](9)\n  val tuple28 = coll10(placeholder[Int](10))\n  val coll29 = tuple26._1\n  val l30 = tuple28._2\n  val coll31 = tuple28._1\n  val l32 = tuple26._2\n  val l33 = l2 + placeholder[Long](11)\n  val l34 = l33 + placeholder[Long](12)\n  sigmaProp(if (l1 < l2 - placeholder[Long](13)) {(\n      val box35 = CONTEXT.dataInputs(placeholder[Int](14))\n      val tuple36 = box35.tokens(placeholder[Int](15))\n      val l37 = tuple36._2\n      ((((((((((((tuple36._1 == coll3) && (l37 > coll4(placeholder[Int](16)))) && (l37 > placeholder[Long](17))) && (coll6 == coll7)) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](18)) == placeholder[Long](19)) && (coll13.slice(placeholder[Int](20), coll13.size) == box35.R4[Coll[Long]].get))) && (coll14 == box35.R5[Coll[Byte]].get)) && (l16 == placeholder[Long](21))) && (l17 == l37)) && (l18 == placeholder[Long](22))) && (coll19 == box35.R7[Coll[Coll[Byte]]].get)\n    )} else { if ((l1 > l2) && (l1 < l33)) {(\n        val coll35 = INPUTS.slice(placeholder[Int](23), INPUTS.size)\n        val i36 = coll20.size\n        val coll37 = coll20.slice(placeholder[Int](24), i36)\n        (((((((((((coll6 == coll7) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](25)) == coll20(placeholder[Int](26)) + coll35.fold(placeholder[Long](27), {(tuple38: (Long, Box)) =>\n                              val box40 = tuple38._2\n                              val l41 = tuple38._1\n                              if (((box40.R4[Coll[Long]].get == coll37) && (box40.R5[Coll[Byte]].get == coll21)) && \n                                val coll42 = box40.R9[Coll[Coll[Byte]]].get\n                                coll42.slice(placeholder[Int](28), coll42.size) == coll22\n                              ) { l41 + box40.tokens(placeholder[Int](29))._2 } else { l41 }\n                            })) && (coll13.slice(placeholder[Int](30), i36) == coll37))) && (i36 == coll13.size)) && (coll14 == coll21)) && (l16 == coll35.fold(placeholder[Long](31), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](32))._2 }) + l23)) && (l18 == l24 + coll35.fold(placeholder[Long](33), {(tuple38: (Long, Box)) =>\n                    val box40 = tuple38._2\n                    val l41 = tuple38._1\n                    if (box40.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == placeholder[Coll[Byte]](35)) { l41 + box40.tokens(placeholder[Int](36))._2 } else { l41 }\n                  }))) && coll35.forall({(box38: Box) =>\n                val coll40 = box38.tokens\n                ((coll40(placeholder[Int](37))._1 == coll25) && (coll40(placeholder[Int](38))._1 == coll3)) && (box38.R8[Long].get < l2)\n              })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll25 }) })) && (coll22 == coll19)\n      )} else { if ((l1 > l33) && (l1 < l34)) {(\n          val box35 = INPUTS(placeholder[Int](39))\n          val tuple36 = box35.tokens(placeholder[Int](40))\n          val coll37 = coll29\n          val l38 = l32\n          val box39 = OUTPUTS(placeholder[Int](41))\n          val tuple40 = box39.tokens(placeholder[Int](42))\n          val coll41 = coll31\n          val l42 = l30\n          ((((((((((((((((if (l23 > placeholder[Long](43)) { l24 * placeholder[Long](44) / l23 > placeholder[Long](45) } else { placeholder[Boolean](46) } && ((((tuple36._1 == coll37) && (tuple36._2 == placeholder[Long](47))) && (l38 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](48)))) && (blake2b256(box39.propositionBytes) == coll27)) && ((tuple40._1 == coll37) && (tuple40._2 == placeholder[Long](49)))) && (box35.R4[Coll[Long]].get == box39.R4[Coll[Long]].get)) && (box35.R5[Coll[Byte]].get == box39.R5[Coll[Byte]].get)) && (coll6 == coll7)) && (l8 >= l9)) && ((coll41 == coll37) && (l42 == l38 - placeholder[Long](50)))) && (coll10.size == coll11.size)) && (l2 == l12)) && (coll13 == coll20)) && (coll14 == coll21)) && (l16 == l23)) && (l18 == placeholder[Long](51))) && (l17 == placeholder[Long](52))) && (coll19 == coll22)) && (box35.R8[Coll[Coll[Byte]]].get == box39.R8[Coll[Coll[Byte]]].get)\n        )} else { if (l1 > l34) {(\n            val bool35 = (((((((coll6 == coll7) && (l8 >= l9)) && (l12 == l2 + placeholder[Long](53))) && (coll13(placeholder[Int](54)) == placeholder[Long](55))) && (l16 == placeholder[Long](56))) && (l18 == placeholder[Long](57))) && (coll10.size == coll11.size)) && (l17 == placeholder[Long](58))\n            if ((l23 > placeholder[Long](59)) && (coll20(placeholder[Int](60)) * placeholder[Long](61) / l23 > placeholder[Long](62))) {(\n              val box36 = OUTPUTS(placeholder[Int](63))\n              val tuple37 = box36.tokens(placeholder[Int](64))\n              (((((((bool35 && (blake2b256(box36.propositionBytes) == coll27)) && ((tuple37._1 == coll29) && (tuple37._2 == placeholder[Long](65)))) && (box36.R4[Coll[Long]].get == coll20.slice(placeholder[Int](66), coll20.size))) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll21)) && (box36.R7[Long].get == l2)) && ((coll31 == coll29) && (l30 == l32 - placeholder[Long](67)))) && (box36.R8[Coll[Coll[Byte]]].get == coll22)\n            )} else { bool35 && (coll10 == coll11) }\n          )} else { placeholder[Boolean](68) && (HEIGHT > placeholder[Int](69)) } } } })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0ec2e22aa9a854d418578c7c7b7ce0fe6afc44760007c6ee321f41d93c23d1d8",
          "index": 0,
          "amount": 9999998,
          "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": "1a01010a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0a]"
        },
        "R7": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R4": {
          "serializedValue": "059c879f01",
          "sigmaType": "SLong",
          "renderedValue": "1302990"
        }
      }
    },
    {
      "boxId": "881194e5aab64fc79d246d3aa5129de46e7d4d132d7a9ec7348e522cd06354c3",
      "value": 634000000,
      "index": 1,
      "spendingProof": "2fae62244816d89319f79e754f9cd7571ceac53fe54d074fb6e8b0ef7b12a9728933a6bfc5f177126bd77977ec123566259d8ce125c7e280",
      "outputBlockId": "8f627a0af17e919be0572f22068c1c2e9c092e2385918884a98881b137f8b9be",
      "outputTransactionId": "4acb8edff44e9997f8722fa9ca603d42cb69899ea74824481ac461cc4f7fecdd",
      "outputIndex": 1,
      "outputGlobalIndex": 41306281,
      "outputCreatedAt": 1303239,
      "outputSettledAt": 1303241,
      "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": "b4e8ec458fbb28a27697a719ad20a0556196ce66aaaef0086a2f38524c3df215",
      "transactionId": "72f279825eb9f88ebfcdd4cc6e7ce81fece223ee6e3b27df058bef5caa5ebab2",
      "blockId": "8df301fc02973ec9217203c67554b7b2d8bdaf8a28fcdce96b2e62580ba6d914",
      "value": 1000000,
      "index": 0,
      "globalIndex": 41306299,
      "creationHeight": 1303241,
      "settlementHeight": 1303243,
      "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: 0\n3: 1\n4: 2\n5: 0\n6: 2\n7: Coll(49,-87,49,50,-119,84,-59,53,-126,31,-61,-82,7,-42,-13,50,102,-83,-71,-90,-37,60,123,87,107,-97,77,-94,-76,1,-126,52)\n8: 0\n9: Coll(-121,-49,12,41,-11,127,-3,-53,-17,-46,-121,-62,7,-14,112,-67,37,17,-107,69,115,-97,13,-95,-1,-23,34,-104,19,57,-77,59)\n10: 0\n11: 13\n12: 8\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1000000\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 0\n27: 0\n28: 1\n29: 1\n30: 1\n31: 0\n32: 1\n33: 0\n34: 0\n35: Coll(10)\n36: 1\n37: 0\n38: 1\n39: 1\n40: 0\n41: 1\n42: 0\n43: 30000\n44: 1000\n45: 500\n46: false\n47: 1\n48: 45\n49: 2\n50: 1\n51: 0\n52: 0\n53: 45\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 6000\n60: 0\n61: 1000\n62: 500\n63: 1\n64: 0\n65: 1\n66: 1\n67: 1\n68: false\n69: 6",
      "ergoTreeScript": "{\n  val l1 = HEIGHT.toLong\n  val l2 = SELF.R4[Long].get\n  val coll3 = placeholder[Coll[Byte]](0)\n  val coll4 = SELF.R7[Coll[Long]].get\n  val box5 = OUTPUTS(placeholder[Int](1))\n  val coll6 = box5.propositionBytes\n  val coll7 = SELF.propositionBytes\n  val l8 = box5.value\n  val l9 = SELF.value\n  val coll10 = box5.tokens\n  val coll11 = SELF.tokens\n  val l12 = box5.R4[Long].get\n  val coll13 = box5.R5[Coll[Long]].get\n  val coll14 = box5.R6[Coll[Byte]].get\n  val coll15 = box5.R7[Coll[Long]].get\n  val l16 = coll15(placeholder[Int](2))\n  val l17 = coll15(placeholder[Int](3))\n  val l18 = coll15(placeholder[Int](4))\n  val coll19 = box5.R8[Coll[Coll[Byte]]].get\n  val coll20 = SELF.R5[Coll[Long]].get\n  val coll21 = SELF.R6[Coll[Byte]].get\n  val coll22 = SELF.R8[Coll[Coll[Byte]]].get\n  val l23 = coll4(placeholder[Int](5))\n  val l24 = coll4(placeholder[Int](6))\n  val coll25 = placeholder[Coll[Byte]](7)\n  val tuple26 = coll11(placeholder[Int](8))\n  val coll27 = placeholder[Coll[Byte]](9)\n  val tuple28 = coll10(placeholder[Int](10))\n  val coll29 = tuple26._1\n  val l30 = tuple28._2\n  val coll31 = tuple28._1\n  val l32 = tuple26._2\n  val l33 = l2 + placeholder[Long](11)\n  val l34 = l33 + placeholder[Long](12)\n  sigmaProp(if (l1 < l2 - placeholder[Long](13)) {(\n      val box35 = CONTEXT.dataInputs(placeholder[Int](14))\n      val tuple36 = box35.tokens(placeholder[Int](15))\n      val l37 = tuple36._2\n      ((((((((((((tuple36._1 == coll3) && (l37 > coll4(placeholder[Int](16)))) && (l37 > placeholder[Long](17))) && (coll6 == coll7)) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](18)) == placeholder[Long](19)) && (coll13.slice(placeholder[Int](20), coll13.size) == box35.R4[Coll[Long]].get))) && (coll14 == box35.R5[Coll[Byte]].get)) && (l16 == placeholder[Long](21))) && (l17 == l37)) && (l18 == placeholder[Long](22))) && (coll19 == box35.R7[Coll[Coll[Byte]]].get)\n    )} else { if ((l1 > l2) && (l1 < l33)) {(\n        val coll35 = INPUTS.slice(placeholder[Int](23), INPUTS.size)\n        val i36 = coll20.size\n        val coll37 = coll20.slice(placeholder[Int](24), i36)\n        (((((((((((coll6 == coll7) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](25)) == coll20(placeholder[Int](26)) + coll35.fold(placeholder[Long](27), {(tuple38: (Long, Box)) =>\n                              val box40 = tuple38._2\n                              val l41 = tuple38._1\n                              if (((box40.R4[Coll[Long]].get == coll37) && (box40.R5[Coll[Byte]].get == coll21)) && \n                                val coll42 = box40.R9[Coll[Coll[Byte]]].get\n                                coll42.slice(placeholder[Int](28), coll42.size) == coll22\n                              ) { l41 + box40.tokens(placeholder[Int](29))._2 } else { l41 }\n                            })) && (coll13.slice(placeholder[Int](30), i36) == coll37))) && (i36 == coll13.size)) && (coll14 == coll21)) && (l16 == coll35.fold(placeholder[Long](31), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](32))._2 }) + l23)) && (l18 == l24 + coll35.fold(placeholder[Long](33), {(tuple38: (Long, Box)) =>\n                    val box40 = tuple38._2\n                    val l41 = tuple38._1\n                    if (box40.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == placeholder[Coll[Byte]](35)) { l41 + box40.tokens(placeholder[Int](36))._2 } else { l41 }\n                  }))) && coll35.forall({(box38: Box) =>\n                val coll40 = box38.tokens\n                ((coll40(placeholder[Int](37))._1 == coll25) && (coll40(placeholder[Int](38))._1 == coll3)) && (box38.R8[Long].get < l2)\n              })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll25 }) })) && (coll22 == coll19)\n      )} else { if ((l1 > l33) && (l1 < l34)) {(\n          val box35 = INPUTS(placeholder[Int](39))\n          val tuple36 = box35.tokens(placeholder[Int](40))\n          val coll37 = coll29\n          val l38 = l32\n          val box39 = OUTPUTS(placeholder[Int](41))\n          val tuple40 = box39.tokens(placeholder[Int](42))\n          val coll41 = coll31\n          val l42 = l30\n          ((((((((((((((((if (l23 > placeholder[Long](43)) { l24 * placeholder[Long](44) / l23 > placeholder[Long](45) } else { placeholder[Boolean](46) } && ((((tuple36._1 == coll37) && (tuple36._2 == placeholder[Long](47))) && (l38 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](48)))) && (blake2b256(box39.propositionBytes) == coll27)) && ((tuple40._1 == coll37) && (tuple40._2 == placeholder[Long](49)))) && (box35.R4[Coll[Long]].get == box39.R4[Coll[Long]].get)) && (box35.R5[Coll[Byte]].get == box39.R5[Coll[Byte]].get)) && (coll6 == coll7)) && (l8 >= l9)) && ((coll41 == coll37) && (l42 == l38 - placeholder[Long](50)))) && (coll10.size == coll11.size)) && (l2 == l12)) && (coll13 == coll20)) && (coll14 == coll21)) && (l16 == l23)) && (l18 == placeholder[Long](51))) && (l17 == placeholder[Long](52))) && (coll19 == coll22)) && (box35.R8[Coll[Coll[Byte]]].get == box39.R8[Coll[Coll[Byte]]].get)\n        )} else { if (l1 > l34) {(\n            val bool35 = (((((((coll6 == coll7) && (l8 >= l9)) && (l12 == l2 + placeholder[Long](53))) && (coll13(placeholder[Int](54)) == placeholder[Long](55))) && (l16 == placeholder[Long](56))) && (l18 == placeholder[Long](57))) && (coll10.size == coll11.size)) && (l17 == placeholder[Long](58))\n            if ((l23 > placeholder[Long](59)) && (coll20(placeholder[Int](60)) * placeholder[Long](61) / l23 > placeholder[Long](62))) {(\n              val box36 = OUTPUTS(placeholder[Int](63))\n              val tuple37 = box36.tokens(placeholder[Int](64))\n              (((((((bool35 && (blake2b256(box36.propositionBytes) == coll27)) && ((tuple37._1 == coll29) && (tuple37._2 == placeholder[Long](65)))) && (box36.R4[Coll[Long]].get == coll20.slice(placeholder[Int](66), coll20.size))) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll21)) && (box36.R7[Long].get == l2)) && ((coll31 == coll29) && (l30 == l32 - placeholder[Long](67)))) && (box36.R8[Coll[Coll[Byte]]].get == coll22)\n            )} else { bool35 && (coll10 == coll11) }\n          )} else { placeholder[Boolean](68) && (HEIGHT > placeholder[Int](69)) } } } })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0ec2e22aa9a854d418578c7c7b7ce0fe6afc44760007c6ee321f41d93c23d1d8",
          "index": 0,
          "amount": 9999998,
          "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": "1a01010a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0a]"
        },
        "R7": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R4": {
          "serializedValue": "05f6879f01",
          "sigmaType": "SLong",
          "renderedValue": "1303035"
        }
      },
      "spentTransactionId": "57a05165bd33df57ed7eae30b480ff8be59f50a4643972fcc54accb2d94a7035",
      "mainChain": true
    },
    {
      "boxId": "1e48b092123c715427f369ab2a5007575175225c1be68f3dc87258ab2e4e3c73",
      "transactionId": "72f279825eb9f88ebfcdd4cc6e7ce81fece223ee6e3b27df058bef5caa5ebab2",
      "blockId": "8df301fc02973ec9217203c67554b7b2d8bdaf8a28fcdce96b2e62580ba6d914",
      "value": 633000000,
      "index": 1,
      "globalIndex": 41306300,
      "creationHeight": 1303241,
      "settlementHeight": 1303243,
      "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": "57a05165bd33df57ed7eae30b480ff8be59f50a4643972fcc54accb2d94a7035",
      "mainChain": true
    },
    {
      "boxId": "13d7f6f7481642ff6fca34e3a8fc9da5e6a7641c648c0eaef8dd36826924a283",
      "transactionId": "72f279825eb9f88ebfcdd4cc6e7ce81fece223ee6e3b27df058bef5caa5ebab2",
      "blockId": "8df301fc02973ec9217203c67554b7b2d8bdaf8a28fcdce96b2e62580ba6d914",
      "value": 1000000,
      "index": 2,
      "globalIndex": 41306301,
      "creationHeight": 1303241,
      "settlementHeight": 1303243,
      "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": "9c3dfc780101405e6d6bdb2b496cd33d8d908252bdb16b6ae80fdd1f13ec30bb",
      "mainChain": true
    }
  ],
  "size": 1879,
  "isUnconfirmed": false
}