Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.8969 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.8859 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 1.62 KB
Received time: 7/14/2025 12:22:07 PM
Included in blocks: 1,568,299
Confirmations: 209,458
Total coins transferred: 0.9969 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000604 ERG
Raw Transaction Data
{
  "id": "a6a21e539fe4984a51a63afff25b4a69ed1dd072ecbc246bc58d12cd04e64b18",
  "blockId": "70b1c152c6d69c4f258611cc8885df2f8c5e9314390b7d33d43e5fa32b84c5b7",
  "inclusionHeight": 1568299,
  "timestamp": 1752495727053,
  "index": 3,
  "globalIndex": 9209251,
  "numConfirmations": 209458,
  "inputs": [
    {
      "boxId": "f168021794005f5f8a3906e1a36031f57543606a25f8a4ee587c0141b8089175",
      "value": 100000000,
      "index": 0,
      "spendingProof": "f5a13c3513cf31efacaf39d8891b77a4962242b7ce03df7e1f941b533f7971b1f048975b3f4d288dfbb83f91776a7b034ffe61d7246cc6e5",
      "outputBlockId": "bd0f8146ac3029d9be0e694681453a72c2296533396516528fc7dfa67b4f61f6",
      "outputTransactionId": "ae35fdfbce97577c3fee0d5bdd137b977f08579b5d20b96a05e4724bd995bb21",
      "outputIndex": 0,
      "outputGlobalIndex": 48879150,
      "outputCreatedAt": 1568295,
      "outputSettledAt": 1568296,
      "ergoTree": "102c040004000400040204fe01040604040402040204020101050004020400040204000400050204020500040405000404040004000502050005000402040604020402040004020400040804020400040204000400040001010100d816d601e4e30004d602c1a7d603db6308a7d6048cb2720373000001d605e4c6a70407d606e4c6a70659d607e4c6a708490ed608e4c6a7094d1ad609cd7205d60ad9010a4463d802d60cc28c720a02d60dd08c720a0195937eb2720c73010004730293720c720dd801d60eb1720c93b4720d7303b1720db4720c9591720e730473057306720ed60be4c6a70713d60cb1720bd60dd9010d639683020192c1720d8c72080293cbc2720db28c720801730700d60ee4c6a7054d0ed60f8c720e02d610d9011063aedb63087210d901124d0e938c7212018c720e01d611b17203d612d901123c6363d801d6148c7212029683030193c17214720293c27214c28c72120195917211730893db63087214b4720373097211730ad613d901130eafa5d901156396830201afdb63087215d901174d0e948c721701721394c27215c2a7d61491720f730bd6158c720701d6168c72060295937201730cd805d617b2a5730d00d618b2a5730e00d619c5a7d61ab2db63087218730f00d61b8c721a02ea02d1968305019683060193c17217720293b2db6308721773100086027204731193e4c672170407720593e4c672170659720693e4c6721708490e720793e4c67217094d1a720896830401da720a0186027209721893b1b5a5d9011c63aedb6308721cd9011e4d0e938c721e017219731296830201938c721a01721991721b731393e4c67217054d0e86027219721b91b1e4c672170713720cda720d01b2a573140090720f73157209959372017316d802d617b2a5731700d618db63087217ea02d1968303019683070193b2721873180086027204731993e4c672170407720593e4c67217054d0e720e93e4c672170659720693e4c672170713720b93e4c6721708490e720793e4c67217094d1a7208ed92c172177202af7218d901194d0ed801d61b8c72190192b07218731ad9011c414d0ed802d61e8c721c02d61f8c721c0195938c721e01721b9a721f8c721e02721fb07203731bd9011c414d0ed802d61e8c721c02d61f8c721c0195938c721e01721b9a721f8c721e02721fda720d01b2a5731c00720995937201731dd801d617b2a4731e00d1968306019683020193b1b5720bd9011807da720a018602cd72187217731fda7210017217da72120186027217b2a5732000da7213017204da720d01b2a5732100721491720c7322959372017323d801d617b2a4732400d196830701da7210017217da72120186027217b2a5732500da7213017204da720d01b2a57326007214917ea3058c7206019591b172157327d802d618b2db6501fe732800d619e4c67218040596830201938cb2db63087218732900017215958c72070292721972169072197216732ad1732b",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 1\n10: true\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: 1\n29: 3\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 4\n36: 1\n37: 0\n38: 1\n39: 0\n40: 0\n41: 0\n42: true\n43: false",
      "ergoTreeScript": "{\n  val i1 = getVar[Int](0.toByte).get\n  val l2 = SELF.value\n  val coll3 = SELF.tokens\n  val coll4 = coll3(placeholder[Int](0))._1\n  val ge5 = SELF.R4[GroupElement].get\n  val tuple6 = SELF.R6[(Long, Long)].get\n  val tuple7 = SELF.R8[(Coll[Byte], Boolean)].get\n  val tuple8 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n  val prop9 = proveDlog(ge5)\n  val func10 = {(tuple10: (SigmaProp, Box)) =>\n    val coll12 = tuple10._2.propositionBytes\n    val coll13 = tuple10._1.propBytes\n    if (coll12(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll12 == coll13 } else {(\n      val i14 = coll12.size\n      coll13.slice(placeholder[Int](3), coll13.size) == coll12.slice(if (i14 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i14)\n    )}\n  }\n  val coll11 = SELF.R7[Coll[GroupElement]].get\n  val i12 = coll11.size\n  val func13 = {(box13: Box) => allOf(Coll[Boolean](box13.value >= tuple8._2, blake2b256(box13.propositionBytes) == tuple8._1(placeholder[Int](7)))) }\n  val tuple14 = SELF.R5[(Coll[Byte], Long)].get\n  val l15 = tuple14._2\n  val func16 = {(box16: Box) => box16.tokens.exists({(tuple18: (Coll[Byte], Long)) => tuple18._1 == tuple14._1 }) }\n  val i17 = coll3.size\n  val func18 = {(tuple18: (Box, Box)) =>\n    val box20 = tuple18._2\n    allOf(\n      Coll[Boolean](\n        box20.value == l2, box20.propositionBytes == tuple18._1.propositionBytes, if (i17 > placeholder[Int](8)) {\n          box20.tokens == coll3.slice(placeholder[Int](9), i17)\n        } else { placeholder[Boolean](10) }\n      )\n    )\n  }\n  val func19 = {(coll19: Coll[Byte]) =>\n    OUTPUTS.forall(\n      {(box21: Box) =>\n        allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != SELF.propositionBytes))\n      }\n    )\n  }\n  val bool20 = l15 > placeholder[Long](11)\n  val coll21 = tuple7._1\n  val l22 = tuple6._2\n  if (i1 == placeholder[Int](12)) {(\n    val box23 = OUTPUTS(placeholder[Int](13))\n    val box24 = OUTPUTS(placeholder[Int](14))\n    val coll25 = SELF.id\n    val tuple26 = box24.tokens(placeholder[Int](15))\n    val l27 = tuple26._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          allOf(\n            Coll[Boolean](\n              box23.value == l2, box23.tokens(placeholder[Int](16)) == (coll4, placeholder[Long](17)), box23.R4[GroupElement].get == ge5, box23.R6[\n                (Long, Long)\n              ].get == tuple6, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8\n            )\n          ), allOf(\n            Coll[Boolean](\n              func10((prop9, box24)), OUTPUTS.filter(\n                {(box28: Box) => box28.tokens.exists({(tuple30: (Coll[Byte], Long)) => tuple30._1 == coll25 }) }\n              ).size == placeholder[Int](18), allOf(Coll[Boolean](tuple26._1 == coll25, l27 > placeholder[Long](19))), box23.R5[(Coll[Byte], Long)].get == (\n                coll25, l27\n              )\n            )\n          ), box23.R7[Coll[GroupElement]].get.size > i12, func13(OUTPUTS(placeholder[Int](20))), l15 <= placeholder[Long](21)\n        )\n      )\n    ) && prop9\n  )} else { if (i1 == placeholder[Int](22)) {(\n      val box23 = OUTPUTS(placeholder[Int](23))\n      val coll24 = box23.tokens\n      sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](24)) == (coll4, placeholder[Long](25)), box23.R4[GroupElement].get == ge5, box23.R5[(Coll[Byte], Long)].get == tuple14, box23.R6[(Long, Long)].get == tuple6, box23.R7[Coll[GroupElement]].get == coll11, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8)), (box23.value >= l2) && coll24.forall({(tuple25: (Coll[Byte], Long)) =>\n                val coll27 = tuple25._1\n                coll24.fold(placeholder[Long](26), {(tuple28: (Long, (Coll[Byte], Long))) =>\n                    val tuple30 = tuple28._2\n                    val l31 = tuple28._1\n                    if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n                  }) >= coll3.fold(placeholder[Long](27), {(tuple28: (Long, (Coll[Byte], Long))) =>\n                    val tuple30 = tuple28._2\n                    val l31 = tuple28._1\n                    if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n                  })\n              }), func13(OUTPUTS(placeholder[Int](28)))))) && prop9\n    )} else { if (i1 == placeholder[Int](29)) {(\n        val box23 = INPUTS(placeholder[Int](30))\n        sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll11.filter({(ge24: GroupElement) => func10((proveDlog(ge24), box23)) }).size == placeholder[Int](31), func16(box23))), func18((box23, OUTPUTS(placeholder[Int](32)))), func19(coll4), func13(OUTPUTS(placeholder[Int](33))), bool20, i12 > placeholder[Int](34))))\n      )} else { if (i1 == placeholder[Int](35)) {(\n          val box23 = INPUTS(placeholder[Int](36))\n          sigmaProp(allOf(Coll[Boolean](func16(box23), func18((box23, OUTPUTS(placeholder[Int](37)))), func19(coll4), func13(OUTPUTS(placeholder[Int](38))), bool20, HEIGHT.toLong > tuple6._1, if (coll21.size > placeholder[Int](39)) {(\n                  val box24 = CONTEXT.dataInputs(placeholder[Int](40))\n                  val l25 = box24.R4[Long].get\n                  allOf(Coll[Boolean](box24.tokens(placeholder[Int](41))._1 == coll21, if (tuple7._2) { l25 >= l22 } else { l25 <= l22 }))\n                )} else { placeholder[Boolean](42) })))\n        )} else { sigmaProp(placeholder[Boolean](43)) } } } }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "49bfb423c0325a546d2cdc58afdfe95772a6ff2bacd664b834d836bac1a4365c",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "2cd0ace46adfcf963e01ef5f9767992c02e0dd3b4386387e91e3a1b62180999d",
          "index": 1,
          "amount": 2,
          "name": "Treasure",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "4d0e0000",
          "sigmaType": "(Coll[SByte], SLong)",
          "renderedValue": "[,0]"
        },
        "R6": {
          "serializedValue": "59e2b8bf0100",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1568305,0]"
        },
        "R8": {
          "serializedValue": "490e0001",
          "sigmaType": "(Coll[SByte], SBoolean)",
          "renderedValue": "[,true]"
        },
        "R7": {
          "serializedValue": "1300",
          "sigmaType": "Coll[SGroupElement]",
          "renderedValue": "[]"
        },
        "R9": {
          "serializedValue": "4d1a02114b75736874692773205369676d614c6f6b208ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc03180dac409",
          "sigmaType": "(Coll[Coll[SByte]], SLong)",
          "renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
        },
        "R4": {
          "serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
          "sigmaType": "SGroupElement",
          "renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
        }
      }
    },
    {
      "boxId": "646460b3dc858f5ed52c661460f468feb348e315b2a2ca79edacda9d0f6b1da6",
      "value": 896900000,
      "index": 1,
      "spendingProof": "2d6bb1b0e53eb3df704baeff95765f9a9e69c6dc6d9bc666c6e608761c147c17357d6825f6a463a25ea36583c7ffba332c913a02eb2ccebf",
      "outputBlockId": "bd0f8146ac3029d9be0e694681453a72c2296533396516528fc7dfa67b4f61f6",
      "outputTransactionId": "ae35fdfbce97577c3fee0d5bdd137b977f08579b5d20b96a05e4724bd995bb21",
      "outputIndex": 2,
      "outputGlobalIndex": 48879152,
      "outputCreatedAt": 1568295,
      "outputSettledAt": 1568296,
      "ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
      "address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
      "assets": [
        {
          "tokenId": "2cd0ace46adfcf963e01ef5f9767992c02e0dd3b4386387e91e3a1b62180999d",
          "index": 0,
          "amount": 98,
          "name": "Treasure",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "4a13f3352f3e656c38ff3cd34e46a1505c2baeb8380cf2df07ff2cc083acacb2",
      "transactionId": "a6a21e539fe4984a51a63afff25b4a69ed1dd072ecbc246bc58d12cd04e64b18",
      "blockId": "70b1c152c6d69c4f258611cc8885df2f8c5e9314390b7d33d43e5fa32b84c5b7",
      "value": 100000000,
      "index": 0,
      "globalIndex": 48879188,
      "creationHeight": 1568297,
      "settlementHeight": 1568299,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 1\n10: true\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: 1\n29: 3\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 4\n36: 1\n37: 0\n38: 1\n39: 0\n40: 0\n41: 0\n42: true\n43: false",
      "ergoTreeScript": "{\n  val i1 = getVar[Int](0.toByte).get\n  val l2 = SELF.value\n  val coll3 = SELF.tokens\n  val coll4 = coll3(placeholder[Int](0))._1\n  val ge5 = SELF.R4[GroupElement].get\n  val tuple6 = SELF.R6[(Long, Long)].get\n  val tuple7 = SELF.R8[(Coll[Byte], Boolean)].get\n  val tuple8 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n  val prop9 = proveDlog(ge5)\n  val func10 = {(tuple10: (SigmaProp, Box)) =>\n    val coll12 = tuple10._2.propositionBytes\n    val coll13 = tuple10._1.propBytes\n    if (coll12(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll12 == coll13 } else {(\n      val i14 = coll12.size\n      coll13.slice(placeholder[Int](3), coll13.size) == coll12.slice(if (i14 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i14)\n    )}\n  }\n  val coll11 = SELF.R7[Coll[GroupElement]].get\n  val i12 = coll11.size\n  val func13 = {(box13: Box) => allOf(Coll[Boolean](box13.value >= tuple8._2, blake2b256(box13.propositionBytes) == tuple8._1(placeholder[Int](7)))) }\n  val tuple14 = SELF.R5[(Coll[Byte], Long)].get\n  val l15 = tuple14._2\n  val func16 = {(box16: Box) => box16.tokens.exists({(tuple18: (Coll[Byte], Long)) => tuple18._1 == tuple14._1 }) }\n  val i17 = coll3.size\n  val func18 = {(tuple18: (Box, Box)) =>\n    val box20 = tuple18._2\n    allOf(\n      Coll[Boolean](\n        box20.value == l2, box20.propositionBytes == tuple18._1.propositionBytes, if (i17 > placeholder[Int](8)) {\n          box20.tokens == coll3.slice(placeholder[Int](9), i17)\n        } else { placeholder[Boolean](10) }\n      )\n    )\n  }\n  val func19 = {(coll19: Coll[Byte]) =>\n    OUTPUTS.forall(\n      {(box21: Box) =>\n        allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != SELF.propositionBytes))\n      }\n    )\n  }\n  val bool20 = l15 > placeholder[Long](11)\n  val coll21 = tuple7._1\n  val l22 = tuple6._2\n  if (i1 == placeholder[Int](12)) {(\n    val box23 = OUTPUTS(placeholder[Int](13))\n    val box24 = OUTPUTS(placeholder[Int](14))\n    val coll25 = SELF.id\n    val tuple26 = box24.tokens(placeholder[Int](15))\n    val l27 = tuple26._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          allOf(\n            Coll[Boolean](\n              box23.value == l2, box23.tokens(placeholder[Int](16)) == (coll4, placeholder[Long](17)), box23.R4[GroupElement].get == ge5, box23.R6[\n                (Long, Long)\n              ].get == tuple6, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8\n            )\n          ), allOf(\n            Coll[Boolean](\n              func10((prop9, box24)), OUTPUTS.filter(\n                {(box28: Box) => box28.tokens.exists({(tuple30: (Coll[Byte], Long)) => tuple30._1 == coll25 }) }\n              ).size == placeholder[Int](18), allOf(Coll[Boolean](tuple26._1 == coll25, l27 > placeholder[Long](19))), box23.R5[(Coll[Byte], Long)].get == (\n                coll25, l27\n              )\n            )\n          ), box23.R7[Coll[GroupElement]].get.size > i12, func13(OUTPUTS(placeholder[Int](20))), l15 <= placeholder[Long](21)\n        )\n      )\n    ) && prop9\n  )} else { if (i1 == placeholder[Int](22)) {(\n      val box23 = OUTPUTS(placeholder[Int](23))\n      val coll24 = box23.tokens\n      sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](24)) == (coll4, placeholder[Long](25)), box23.R4[GroupElement].get == ge5, box23.R5[(Coll[Byte], Long)].get == tuple14, box23.R6[(Long, Long)].get == tuple6, box23.R7[Coll[GroupElement]].get == coll11, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8)), (box23.value >= l2) && coll24.forall({(tuple25: (Coll[Byte], Long)) =>\n                val coll27 = tuple25._1\n                coll24.fold(placeholder[Long](26), {(tuple28: (Long, (Coll[Byte], Long))) =>\n                    val tuple30 = tuple28._2\n                    val l31 = tuple28._1\n                    if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n                  }) >= coll3.fold(placeholder[Long](27), {(tuple28: (Long, (Coll[Byte], Long))) =>\n                    val tuple30 = tuple28._2\n                    val l31 = tuple28._1\n                    if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n                  })\n              }), func13(OUTPUTS(placeholder[Int](28)))))) && prop9\n    )} else { if (i1 == placeholder[Int](29)) {(\n        val box23 = INPUTS(placeholder[Int](30))\n        sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll11.filter({(ge24: GroupElement) => func10((proveDlog(ge24), box23)) }).size == placeholder[Int](31), func16(box23))), func18((box23, OUTPUTS(placeholder[Int](32)))), func19(coll4), func13(OUTPUTS(placeholder[Int](33))), bool20, i12 > placeholder[Int](34))))\n      )} else { if (i1 == placeholder[Int](35)) {(\n          val box23 = INPUTS(placeholder[Int](36))\n          sigmaProp(allOf(Coll[Boolean](func16(box23), func18((box23, OUTPUTS(placeholder[Int](37)))), func19(coll4), func13(OUTPUTS(placeholder[Int](38))), bool20, HEIGHT.toLong > tuple6._1, if (coll21.size > placeholder[Int](39)) {(\n                  val box24 = CONTEXT.dataInputs(placeholder[Int](40))\n                  val l25 = box24.R4[Long].get\n                  allOf(Coll[Boolean](box24.tokens(placeholder[Int](41))._1 == coll21, if (tuple7._2) { l25 >= l22 } else { l25 <= l22 }))\n                )} else { placeholder[Boolean](42) })))\n        )} else { sigmaProp(placeholder[Boolean](43)) } } } }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "49bfb423c0325a546d2cdc58afdfe95772a6ff2bacd664b834d836bac1a4365c",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "2cd0ace46adfcf963e01ef5f9767992c02e0dd3b4386387e91e3a1b62180999d",
          "index": 1,
          "amount": 4,
          "name": "Treasure",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "4d0e0000",
          "sigmaType": "(Coll[SByte], SLong)",
          "renderedValue": "[,0]"
        },
        "R6": {
          "serializedValue": "59e2b8bf0100",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1568305,0]"
        },
        "R8": {
          "serializedValue": "490e0001",
          "sigmaType": "(Coll[SByte], SBoolean)",
          "renderedValue": "[,true]"
        },
        "R7": {
          "serializedValue": "1300",
          "sigmaType": "Coll[SGroupElement]",
          "renderedValue": "[]"
        },
        "R9": {
          "serializedValue": "4d1a02114b75736874692773205369676d614c6f6b208ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc03180dac409",
          "sigmaType": "(Coll[Coll[SByte]], SLong)",
          "renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
        },
        "R4": {
          "serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
          "sigmaType": "SGroupElement",
          "renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
        }
      },
      "spentTransactionId": "0bd09d5f8c11dd06e7747c9c531b9212fc5bb065bf72df68e0dac1f289bcfe2c",
      "mainChain": true
    },
    {
      "boxId": "13a5788be7d7043c71357cac7ab8b6058c1833f469aacf0e5029c0bee70db4fa",
      "transactionId": "a6a21e539fe4984a51a63afff25b4a69ed1dd072ecbc246bc58d12cd04e64b18",
      "blockId": "70b1c152c6d69c4f258611cc8885df2f8c5e9314390b7d33d43e5fa32b84c5b7",
      "value": 10000000,
      "index": 1,
      "globalIndex": 48879189,
      "creationHeight": 1568297,
      "settlementHeight": 1568299,
      "ergoTree": "0008cd0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19de7e,2d53d9,...)))}",
      "address": "9eiTJkLo4CjFgp7eC9mgcJ1DpcENubWshZAASQZWzNEwpQKBJr2",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "db4cb0012911ebcc5dbadf587e10ba1339bb2d94129dc7656acb807c9ee4f2ab",
      "mainChain": true
    },
    {
      "boxId": "8c110e5af53a9849c99ca3f0bf82fcbc5331faf6ef870d3e6cf77807e3172889",
      "transactionId": "a6a21e539fe4984a51a63afff25b4a69ed1dd072ecbc246bc58d12cd04e64b18",
      "blockId": "70b1c152c6d69c4f258611cc8885df2f8c5e9314390b7d33d43e5fa32b84c5b7",
      "value": 1000000,
      "index": 2,
      "globalIndex": 48879190,
      "creationHeight": 1568297,
      "settlementHeight": 1568299,
      "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": "50686f97578ff787fff1f1b912c0d9258126ba11a1d77d8bb80ad755804dad71",
      "mainChain": true
    },
    {
      "boxId": "f8663d080c61d03b560f6de54a20f96b0f5d2b3c71ef5c29621ea77e12380594",
      "transactionId": "a6a21e539fe4984a51a63afff25b4a69ed1dd072ecbc246bc58d12cd04e64b18",
      "blockId": "70b1c152c6d69c4f258611cc8885df2f8c5e9314390b7d33d43e5fa32b84c5b7",
      "value": 885900000,
      "index": 3,
      "globalIndex": 48879191,
      "creationHeight": 1568297,
      "settlementHeight": 1568299,
      "ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
      "address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
      "assets": [
        {
          "tokenId": "2cd0ace46adfcf963e01ef5f9767992c02e0dd3b4386387e91e3a1b62180999d",
          "index": 0,
          "amount": 96,
          "name": "Treasure",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "0bd09d5f8c11dd06e7747c9c531b9212fc5bb065bf72df68e0dac1f289bcfe2c",
      "mainChain": true
    }
  ],
  "size": 1656,
  "isUnconfirmed": false
}