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Inputs (2)
Output transaction:
Settlement height:
Value:
0.10248448 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.098 ERG
Tokens:
Outputs (3)
Settlement height:
Value:
0.1 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.09848448 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.13 KB
Received time: 6/10/2024 01:25:49 PM
Included in blocks: 1,283,574
Confirmations: 474,616
Total coins transferred: 0.20048448 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000917 ERG
Raw Transaction Data
{
  "id": "e9b965a2b5d3d6fbf2da205580ea6aa9eecd734135fd107c011863cfce8efab0",
  "blockId": "3afc06d92d036dd3d39b663811a5879d313c586fe2f1f5a12e0cbfbdf8340e36",
  "inclusionHeight": 1283574,
  "timestamp": 1718025949053,
  "index": 3,
  "globalIndex": 7332308,
  "numConfirmations": 474616,
  "inputs": [
    {
      "boxId": "f6b2757640a049a6a908edbb933c5b3b0e5b3f7b7cb5511536caa4812b06175e",
      "value": 102484480,
      "index": 0,
      "spendingProof": "30b6270eea92c998db8296a19b0df27400465740fc47c8171477bed1a9131fdfa2933559b9a7013ec2414bd53fcd368d3b255962d28136eb",
      "outputBlockId": "7f8a615eba13037946c3f7c13f6b04293cfdf5ca0fe3fc995fc56cc0499f831f",
      "outputTransactionId": "fd3f4ddfcf2c79bdd2978a83717543a8fab8ba231618138328a367eba56d6317",
      "outputIndex": 1,
      "outputGlobalIndex": 40713708,
      "outputCreatedAt": 1282522,
      "outputSettledAt": 1283571,
      "ergoTree": "0008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(835fd2,cfe882,...)))}",
      "address": "9hTfUJgLE87PVaEpjJM1Fba7rL4wbFMqgNTzud2cZqeLeUWsX7d",
      "assets": [
        {
          "tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
          "index": 0,
          "amount": 99992460,
          "name": "SigUSDF",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
          "index": 1,
          "amount": 9999602889900000,
          "name": "ERGF",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "8d939d36667a6f0f085cfee704ce8098ea3cb0cbfc38e769d55e155e84621d40",
          "index": 2,
          "amount": 1,
          "name": "test collection",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a987c604303f1409b60bdaad82d47405ea318de01536c327be672f7a3a31e02c",
          "index": 3,
          "amount": 1,
          "name": "Test ergopay",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "4bbd12d29f85dcf91decb50280d8b49fd3a15d98479e8581337b5b0e8dc02131",
          "index": 4,
          "amount": 1,
          "name": "Rhino #04",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "351e78af9fe2813665398564698a13c4be50294a0c550dab81eb502ac5a2e25d",
          "index": 5,
          "amount": 1,
          "name": "MielPops #01",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
          "index": 6,
          "amount": 268205,
          "name": "AHT",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "343157483886878df307222aca4e0fc1af24fa7649487988b09b97d1a72cb486",
          "index": 7,
          "amount": 1,
          "name": "test Arthur",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "efda2ef46ed80e96fa5684bf0e8f949a79ec08601dd59c8cc9ddb8db38f98412",
          "index": 8,
          "amount": 1,
          "name": "everythingisfear_0007_c_opens_the_sguy_(1of3)",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "index": 9,
          "amount": 93,
          "name": "SigUSD",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "ed13ac59f761a2792b80953d57e19b7a5d7859a6ac84442e4c4d1f917024aabb",
          "index": 10,
          "amount": 1,
          "name": "Socials",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1c9119fa30c27918e6f9fdb7a6bcd6fdb11b5a936a577d9d379eaa27152aa6aa",
          "index": 11,
          "amount": 1,
          "name": "Real Madrid FC 2019-20 Home Pixel Football Shirt",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "24c731e6a54ea488341bc466f1099386b736bcda1b294d059eb9df0b7186c85e",
          "index": 12,
          "amount": 1,
          "name": "Arthur Test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
          "index": 13,
          "amount": 69,
          "name": "$Lambo",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "aee8132a6602dd215dac8d1caf973581277614e267702a770f45d7ffe5234cba",
          "index": 14,
          "amount": 3,
          "name": "AuctionCoin",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "b301d9f221a385449ef1d3e779ca7fe5c6d69a15d8f01914b6f37735ff924aad",
      "value": 98000000,
      "index": 1,
      "spendingProof": "60b8cfd9c2d3933d74142c663f97f0945feb2c2c668afd2c545151f62e86a18e4ceccf48f445118f443fc1443d8de568626d4d0eb831efbc",
      "outputBlockId": "a5c45fe372556ac0cac5a71032b825e5e7afb73a662c8315b63aa48d5e1469f4",
      "outputTransactionId": "a03eb39a8fd56deae08041af10b87c4a0397fd4c2984a0ac12e5f3c28b1b13e3",
      "outputIndex": 0,
      "outputGlobalIndex": 40712923,
      "outputCreatedAt": 1282521,
      "outputSettledAt": 1283534,
      "ergoTree": "0008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(835fd2,cfe882,...)))}",
      "address": "9hTfUJgLE87PVaEpjJM1Fba7rL4wbFMqgNTzud2cZqeLeUWsX7d",
      "assets": [
        {
          "tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
          "index": 0,
          "amount": 101,
          "name": "SigUSDF",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "110280a8d6b907c801",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000,100]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e20d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c"
        },
        "R4": {
          "serializedValue": "0e240008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "121a49b2bd9060da7e1999e23b5cbb20acca51cd14d0418726d98be3508d6a25",
      "transactionId": "e9b965a2b5d3d6fbf2da205580ea6aa9eecd734135fd107c011863cfce8efab0",
      "blockId": "3afc06d92d036dd3d39b663811a5879d313c586fe2f1f5a12e0cbfbdf8340e36",
      "value": 100000000,
      "index": 0,
      "globalIndex": 40713758,
      "creationHeight": 1282523,
      "settlementHeight": 1283574,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 3\n17: -1\n18: -1\n19: -1\n20: 1\n21: 0\n22: 1\n23: 0\n24: 2\n25: 0\n26: 2\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: CBigInt(0)\n36: true\n37: 1\n38: 0\n39: 1\n40: 2\n41: 1\n42: true\n43: false\n44: 0\n45: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll17, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    val l36 = tuple35._2\n    val tuple37 = (coll20, l36)\n    tuple37\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val coll40 = box39.tokens\n  val l41 = box39.value\n  val tuple42 = (coll17, l41)\n  val tuple43 = coll40.getOrElse(placeholder[Int](15), tuple42)\n  val l44 = tuple43._2\n  val tuple45 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll46 = box14.R4[Coll[Int]].get\n  val coll47 = tuple43._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](16), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](17), placeholder[Long](18), placeholder[Long](19))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](20)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](21))) { if (l11 > coll12(placeholder[Int](22))) {(\n        val box48 = OUTPUTS(placeholder[Int](23))\n        allOf(Coll[Boolean](box48.tokens == coll13, box48.value >= l16 - placeholder[Long](24) * l15, box48.propositionBytes == coll2))\n      )} else {(\n        val box48 = box23\n        val coll49 = coll24\n        val coll50 = coll25\n        val bool51 = bool26\n        val i52 = i27\n        val i53 = i28\n        val i54 = i29\n        val box55 = OUTPUTS.getOrElse(i54, SELF)\n        val tuple56 = box55.tokens.getOrElse(placeholder[Int](25), (coll17, box55.value))\n        val l57 = tuple56._2\n        val coll58 = coll20\n        val i59 = i21\n        val bool60 = bool22\n        val i61 = i30\n        val box62 = box31\n        val tuple63 = tuple32\n        val tuple64 = tuple33\n        val tuple65 = tuple34\n        val l66 = tuple19._2\n        val l67 = if (bool60) {(\n          val l67 = l35\n          l66 - l67 - l15 * placeholder[Long](26)\n        )} else { l66 - l35 }\n        val bi68 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi69 = bi68 * l57.toBigInt / l37 - l9.toBigInt\n        val bi70 = if (bi69 > bi68) { bi68 } else { bi69 }\n        val bi71 = if (coll18 == tuple45._2) { bi70 * coll46(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi70 * coll46(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i72 = i38\n        val box73 = box39\n        val coll74 = coll40\n        val l75 = l41\n        val tuple76 = tuple42\n        val tuple77 = tuple43\n        val coll78 = box62.propositionBytes\n        val l79 = l9 + l57\n        val coll80 = box62.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l57 > placeholder[Long](34)) && (tuple56._1 == coll18)) && (l67.toBigInt <= bi70 + l44.toBigInt)) && (box55.propositionBytes == coll2)) && (if (bi71 > placeholder[BigInt](35)) { if (bool60) {(\n                      val coll81 = coll47\n                      val l82 = l44\n                      ((coll81 == coll58) && (l82.toBigInt >= bi71)) && (l82.toBigInt <= bi71 + l15.toBigInt)\n                    )} else { (coll47 == coll58) && (l44.toBigInt == bi71) } } else { placeholder[Boolean](36) } && (box73.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i54).id == coll50)) && (box48.propositionBytes == INPUTS(placeholder[Int](37)).propositionBytes), (((((((((coll78 == if (l79 >= l37) { coll2 } else { SELF.propositionBytes }) && (box62.R4[Coll[Byte]].get == coll2)) && (box62.R5[Coll[Long]].get == coll12)) && (box62.R6[Coll[Long]].get == coll36)) && (box62.R7[Coll[Byte]].get == coll18)) && (coll80(placeholder[Int](38)) == l79)) && (coll80(placeholder[Int](39)).toBigInt == l10.toBigInt + bi70)) && (coll80(placeholder[Int](40)) == l8 + placeholder[Long](41))) && if (coll78 == coll2) { placeholder[Boolean](42) } else { tuple65._1 == coll58 }) && (l35.toBigInt >= l66.toBigInt - l67.toBigInt - l44.toBigInt)))\n      )} } else { placeholder[Boolean](43) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)) && (((coll18, coll20) == tuple45) || ((coll20, coll18) == tuple45))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
          "index": 0,
          "amount": 101,
          "name": "SigUSDF",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "110280a8d6b907c801",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000,100]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e20d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c"
        },
        "R4": {
          "serializedValue": "0e240008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "4ad1bb2b7f64c03c9f6939203cab6166bc1bcf75acce690b8f78eba25a64ac89",
      "transactionId": "e9b965a2b5d3d6fbf2da205580ea6aa9eecd734135fd107c011863cfce8efab0",
      "blockId": "3afc06d92d036dd3d39b663811a5879d313c586fe2f1f5a12e0cbfbdf8340e36",
      "value": 98484480,
      "index": 1,
      "globalIndex": 40713759,
      "creationHeight": 1282523,
      "settlementHeight": 1283574,
      "ergoTree": "0008cd03835fd213eafb6061f8ce2f444f46f3f739d5e3e1adfd9189b29e7ec2055c6574",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(835fd2,cfe882,...)))}",
      "address": "9hTfUJgLE87PVaEpjJM1Fba7rL4wbFMqgNTzud2cZqeLeUWsX7d",
      "assets": [
        {
          "tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
          "index": 0,
          "amount": 99992460,
          "name": "SigUSDF",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
          "index": 1,
          "amount": 9999602889900000,
          "name": "ERGF",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "8d939d36667a6f0f085cfee704ce8098ea3cb0cbfc38e769d55e155e84621d40",
          "index": 2,
          "amount": 1,
          "name": "test collection",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a987c604303f1409b60bdaad82d47405ea318de01536c327be672f7a3a31e02c",
          "index": 3,
          "amount": 1,
          "name": "Test ergopay",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "4bbd12d29f85dcf91decb50280d8b49fd3a15d98479e8581337b5b0e8dc02131",
          "index": 4,
          "amount": 1,
          "name": "Rhino #04",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "351e78af9fe2813665398564698a13c4be50294a0c550dab81eb502ac5a2e25d",
          "index": 5,
          "amount": 1,
          "name": "MielPops #01",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
          "index": 6,
          "amount": 268205,
          "name": "AHT",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "343157483886878df307222aca4e0fc1af24fa7649487988b09b97d1a72cb486",
          "index": 7,
          "amount": 1,
          "name": "test Arthur",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "efda2ef46ed80e96fa5684bf0e8f949a79ec08601dd59c8cc9ddb8db38f98412",
          "index": 8,
          "amount": 1,
          "name": "everythingisfear_0007_c_opens_the_sguy_(1of3)",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "index": 9,
          "amount": 93,
          "name": "SigUSD",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "ed13ac59f761a2792b80953d57e19b7a5d7859a6ac84442e4c4d1f917024aabb",
          "index": 10,
          "amount": 1,
          "name": "Socials",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1c9119fa30c27918e6f9fdb7a6bcd6fdb11b5a936a577d9d379eaa27152aa6aa",
          "index": 11,
          "amount": 1,
          "name": "Real Madrid FC 2019-20 Home Pixel Football Shirt",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "24c731e6a54ea488341bc466f1099386b736bcda1b294d059eb9df0b7186c85e",
          "index": 12,
          "amount": 1,
          "name": "Arthur Test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
          "index": 13,
          "amount": 69,
          "name": "$Lambo",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "aee8132a6602dd215dac8d1caf973581277614e267702a770f45d7ffe5234cba",
          "index": 14,
          "amount": 3,
          "name": "AuctionCoin",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e090d840ca561c86408d953b7b14edba5d352e677ecd667a75a0362f431d5a07",
      "mainChain": true
    },
    {
      "boxId": "c90341faab78fe9cf619acaf72198465ffde3553707b62bc94523f30ac51855b",
      "transactionId": "e9b965a2b5d3d6fbf2da205580ea6aa9eecd734135fd107c011863cfce8efab0",
      "blockId": "3afc06d92d036dd3d39b663811a5879d313c586fe2f1f5a12e0cbfbdf8340e36",
      "value": 2000000,
      "index": 2,
      "globalIndex": 40713760,
      "creationHeight": 1282523,
      "settlementHeight": 1283574,
      "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": "8e8e6367e874cdeba3d5461c83d33cf6f39c18a4f881998db5dc270f676489de",
      "mainChain": true
    }
  ],
  "size": 2180,
  "isUnconfirmed": false
}