Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
50 ERG
Output transaction:
Settlement height:
Value:
0.009 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
50 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.009 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.39 KB
Received time: 5/6/2022 03:02:18 PM
Included in blocks: 743,873
Confirmations: 1,028,638
Total coins transferred: 50.01 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000704 ERG
Raw Transaction Data
{
  "id": "5b68453d73b97fd836c5a2ee2da6b8724650011431b44304f9d0592a6b53dfda",
  "blockId": "89ce2cc50ca850b07850f46ef43d2c5bcce814f9ceb6dffa49334fb47662b45d",
  "inclusionHeight": 743873,
  "timestamp": 1651849338473,
  "index": 4,
  "globalIndex": 3137396,
  "numConfirmations": 1028638,
  "inputs": [
    {
      "boxId": "18d554a7180542741f448dab3e5b07fcbe56f6da107f5a7f769b55be021f8983",
      "value": 50001000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "89ce2cc50ca850b07850f46ef43d2c5bcce814f9ceb6dffa49334fb47662b45d",
      "outputTransactionId": "8f0a11a1ba1947bc1fe1fd95867768ef0ce44c304244f981b149eda5e5bc9490",
      "outputIndex": 0,
      "outputGlobalIndex": 16421880,
      "outputCreatedAt": 743871,
      "outputSettledAt": 743873,
      "ergoTree": "101108cd03d18bc688c6c0de358af435da4d166a4748c0d261246a011c457bc9e38160804e040004020e20d5a27485bb7142672b22e7f113b85de57b744894500d56a0bc0ebf05a048a3aa04060400010104000580d0dbc3f402040004020e000580d0dbc3f4020500058092f40104040594ad9c9e9360d802d6017300d602b2a5730100d1edecededed93c5b2a499b1a4730200730393b1a5730493e4c6b2a5730500050ed07201eced730693c1b2a57307007308d801d603b2db6308b2a5730900730a00ed938c720301730b938c720302730ceded92c1720299b0a4730dd9010341639a8c720301c18c720302730e93c27202d0720193b1a5730f8f7ea3057310",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(d18bc6,2e3a3c,...)))\n1: 0\n2: 1\n3: Coll(-43,-94,116,-123,-69,113,66,103,43,34,-25,-15,19,-72,93,-27,123,116,72,-108,80,13,86,-96,-68,14,-65,5,-96,72,-93,-86)\n4: 3\n5: 0\n6: true\n7: 0\n8: 50000000000\n9: 0\n10: 1\n11: Coll()\n12: 50000000000\n13: 0\n14: 2000000\n15: 2\n16: 1651849268042",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = OUTPUTS(placeholder[Int](1))\n  sigmaProp(\n    (\n      (\n        (\n          ((INPUTS(INPUTS.size - placeholder[Int](2)).id == placeholder[Coll[Byte]](3)) && (OUTPUTS.size == placeholder[Int](4))) && (\n            OUTPUTS(placeholder[Int](5)).R5[Coll[Byte]].get == prop1.propBytes\n          )\n        ) && ((placeholder[Boolean](6) && (OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8))) || \n            val tuple3 = OUTPUTS(placeholder[Int](9)).tokens(placeholder[Int](10))\n            (tuple3._1 == placeholder[Coll[Byte]](11)) && (tuple3._2 == placeholder[Long](12))\n          )\n      ) || (\n        (\n          (box2.value >= INPUTS.fold(placeholder[Long](13), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](14)) && (\n            box2.propositionBytes == prop1.propBytes\n          )\n        ) && (OUTPUTS.size == placeholder[Int](15))\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](16))\n  )\n}",
      "address": "2NekJj2kAu97HoWqfGVbdEbt9oaDR6riqbFArXwEP8qS5Uv5FPJGCxPK48XRVoU8oJeepme4NGZUF7oy5xsCFbYSaNYPD1tsSyFKBYxohJ5T2SfiTJRmUvA11fW46q1YAharzhfgbS9u4pGJagiC3punDeVTJL8c5DHpM8oQ7iP485S2u8cjRa8yrEje9HEd71odbff4J8czmkBmdPizKXhMNXMN8Cx8d3ccqcwUjWnjmRWtdc413cayTgfAXQtxp6MmBig1Lh5jrQWuvA5A76xiYe63q4z3CNFpSp3NCrHCoAr5Dc4hsL7iNQZf4ZCC1iVkncSQhZHbAq7oaDtu1r4wkfK3ZuGdKqM15Ek",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "d5a27485bb7142672b22e7f113b85de57b744894500d56a0bc0ebf05a048a3aa",
      "value": 9000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "02024f2619b93521b1b78b83f57dfe3bb4d156bba5ea5f3a0bce3e61e8357a7f",
      "outputTransactionId": "4341e02e9ee32942bdcfc4ee0afcdf7f0d25f6df1b8e0c4bec0a91f6e9de10e6",
      "outputIndex": 0,
      "outputGlobalIndex": 16210470,
      "outputCreatedAt": 740682,
      "outputSettledAt": 740686,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 2\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: -1\n14: 1\n15: 0\n16: 1000\n17: 3\n18: 2\n19: 1\n20: 0\n21: 0\n22: 1000\n23: 0\n24: 4\n25: 3\n26: 0\n27: 0\n28: 0\n29: 2\n30: 0\n31: 1\n32: 0\n33: 1\n34: 0\n35: 0\n36: 2\n37: 0\n38: 0\n39: 4\n40: 5\n41: 2\n42: 0\n43: 0\n44: 0\n45: 0\n46: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = CONTEXT.preHeader.timestamp\n  val l3 = SELF.R7[Long].get\n  val coll4 = SELF.tokens\n  val i5 = coll4.size\n  val coll6 = if (i5 > placeholder[Int](1)) { coll4(placeholder[Int](2))._1 } else { Coll[Byte]() }\n  val bool7 = coll6.size == placeholder[Int](3)\n  val func8 = {(box8: Box) => if (bool7) { box8.value } else {(\n      val coll10 = box8.tokens\n      val i11 = coll10.size\n      if ((i11 == placeholder[Int](4)) && (coll10(placeholder[Int](5))._1 == coll6)) { coll10(placeholder[Int](6))._2 } else { if ((i11 == placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)) { coll10(placeholder[Int](9))._2 } else { placeholder[Long](10) } }\n    )} }\n  val l9 = func8(SELF)\n  val coll10 = SELF.R6[Coll[Long]].get\n  val l11 = coll10(placeholder[Int](11))\n  val l12 = coll10(placeholder[Int](12))\n  val l13 = SELF.R8[Long].get\n  val bool14 = l13 != placeholder[Long](13)\n  val box15 = OUTPUTS(placeholder[Int](14))\n  val coll16 = SELF.R5[Coll[Byte]].get\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val box18 = CONTEXT.dataInputs(placeholder[Int](15))\n  val coll19 = box18.R7[Coll[Long]].get\n  val bool20 = l2 >= l3\n  val l21 = l9 * box18.R4[Int].get.toLong / placeholder[Long](16)\n  val i22 = OUTPUTS.size\n  val box23 = if (i22 < placeholder[Int](17)) { SELF } else { OUTPUTS(placeholder[Int](18)) }\n  val opt24 = box15.R4[Box]\n  val box25 = if (opt24.isDefined) { opt24.get } else { OUTPUTS(i22 - placeholder[Int](19)) }\n  val opt26 = box25.R4[Int]\n  val l27 = l9 * if (opt26.isDefined) { max(opt26.get, placeholder[Int](20)) } else { placeholder[Int](21) }.toLong / placeholder[Long](22)\n  val l28 = box18.R6[Long].get\n  val bool29 = l27 == placeholder[Long](23)\n  val box30 = if (i22 < placeholder[Int](24)) { SELF } else { OUTPUTS(placeholder[Int](25)) }\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (((box1.value >= SELF.value) && (l2 < l3)) && (box1.tokens(placeholder[Int](26)) == coll4(placeholder[Int](27)))) && (\n                                      ((func8(box1) >= l9 + l11) || (l9 < l12)) || (bool14 && (func8(box1) >= l13))\n                                    )\n                                  ) && (func8(box1) >= l12)\n                                ) && (box1.propositionBytes == SELF.propositionBytes)\n                              ) && (i5 == box1.tokens.size)\n                            ) && (box15.propositionBytes == coll16)\n                          ) && (func8(box15) >= l9)\n                        ) && (box1.R4[Coll[Byte]].get == coll17)\n                      ) && (box1.R5[Coll[Byte]].get.size > placeholder[Int](28))\n                    ) && (box1.R6[Coll[Long]].get.size == placeholder[Int](29))\n                  ) && (box1.R6[Coll[Long]].get(placeholder[Int](30)) == l12)\n                ) && (box1.R6[Coll[Long]].get(placeholder[Int](31)) == l11)\n              ) && (box1.R7[Long].get == if (l3 - l2 <= coll19(placeholder[Int](32))) { l3 + coll19(placeholder[Int](33)) } else { l3 })\n            ) && (box1.R8[Long].get == l13)\n          ) && (box1.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])\n        ) || (\n          (\n            (\n              (\n                (\n                  (\n                    (((bool20 || ((l9 >= l13) && bool14)) && (func8(box15) >= l21)) && (box15.propositionBytes == box18.R5[Coll[Byte]].get)) && (\n                      box1.tokens(placeholder[Int](34)) == coll4(placeholder[Int](35))\n                    )\n                  ) && (box1.propositionBytes == coll16)\n                ) && (func8(box23) >= l9 - l21 - l27 - if (bool7) { l28 * placeholder[Long](36) } else { placeholder[Long](37) })\n              ) && (box23.propositionBytes == coll17)\n            ) && (\n              bool29 || (\n                ((blake2b256(box25.bytes) == coll4(placeholder[Int](38))._1) && (func8(box30) >= l27)) && (box30.propositionBytes == box25.propositionBytes)\n              )\n            )\n          ) && (i22 == if (bool29) { placeholder[Int](39) } else { placeholder[Int](40) })\n        )\n      ) || (\n        (\n          ((((l9 < l12) && bool20) && (i22 == placeholder[Int](41))) && (box1.tokens(placeholder[Int](42)) == coll4(placeholder[Int](43)))) && (\n            box1.propositionBytes == coll17\n          )\n        ) && (func8(box1) >= l9 - if (bool7) { l28 } else { placeholder[Long](44) })\n      )\n    ) && (box18.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "51150dd90770116af73ca631c2f429c8166a5665e25d63fbd19c1765b7670c01",
          "index": 0,
          "amount": 1,
          "name": "ERGYOROI #134 Maneki-Neko The Beckoning Cat",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0"
        },
        "R6": {
          "serializedValue": "110280d0dbc3f40280d0acf30e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[50000000000,2000000000]"
        },
        "R8": {
          "serializedValue": "058080f985d404",
          "sigmaType": "SLong",
          "renderedValue": "80000000000"
        },
        "R7": {
          "serializedValue": "05c6e8f5ce9360",
          "sigmaType": "SLong",
          "renderedValue": "1651900332579"
        },
        "R9": {
          "serializedValue": "0e667b22696e697469616c426964223a35303030303030303030302c22737461727454696d65223a313635313436383338353237382c226465736372697074696f6e223a224f726967696e616c20706965636520636865636b206d696e742061646472657373227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a35303030303030303030302c22737461727454696d65223a313635313436383338353237382c226465736372697074696f6e223a224f726967696e616c20706965636520636865636b206d696e742061646472657373227d"
        },
        "R4": {
          "serializedValue": "0e240008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "2b279868a56f51c1ae9d9722a7049502dfae64ebc9626909b602a505da65d0b9",
      "value": 15000000,
      "index": 0,
      "outputBlockId": "56e9873647636a562eec0a0ac395aac4d1a34582aae693d038a29e16f451b0d0",
      "outputTransactionId": "daf8f761404b7dfb0d293048d240319c829140d531546686071d66dc8a19aa8b",
      "outputIndex": 0,
      "ergoTree": "0008cd02d84d2e1ca735ce23f224bd43cd43ed67053356713a8a6920965b3bde933648dc",
      "address": "9gAKeRu1W4Dh6adWXnnYmfqjCTnxnSMtym2LPPMPErCkusCd6F3",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
        },
        "R6": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "7561e4cb0b4ee3e031e10df424e20d3899adf891863dd45b508202528cad21cf",
      "transactionId": "5b68453d73b97fd836c5a2ee2da6b8724650011431b44304f9d0592a6b53dfda",
      "blockId": "89ce2cc50ca850b07850f46ef43d2c5bcce814f9ceb6dffa49334fb47662b45d",
      "value": 50000000000,
      "index": 0,
      "globalIndex": 16421888,
      "creationHeight": 743871,
      "settlementHeight": 743873,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 2\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: -1\n14: 1\n15: 0\n16: 1000\n17: 3\n18: 2\n19: 1\n20: 0\n21: 0\n22: 1000\n23: 0\n24: 4\n25: 3\n26: 0\n27: 0\n28: 0\n29: 2\n30: 0\n31: 1\n32: 0\n33: 1\n34: 0\n35: 0\n36: 2\n37: 0\n38: 0\n39: 4\n40: 5\n41: 2\n42: 0\n43: 0\n44: 0\n45: 0\n46: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = CONTEXT.preHeader.timestamp\n  val l3 = SELF.R7[Long].get\n  val coll4 = SELF.tokens\n  val i5 = coll4.size\n  val coll6 = if (i5 > placeholder[Int](1)) { coll4(placeholder[Int](2))._1 } else { Coll[Byte]() }\n  val bool7 = coll6.size == placeholder[Int](3)\n  val func8 = {(box8: Box) => if (bool7) { box8.value } else {(\n      val coll10 = box8.tokens\n      val i11 = coll10.size\n      if ((i11 == placeholder[Int](4)) && (coll10(placeholder[Int](5))._1 == coll6)) { coll10(placeholder[Int](6))._2 } else { if ((i11 == placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)) { coll10(placeholder[Int](9))._2 } else { placeholder[Long](10) } }\n    )} }\n  val l9 = func8(SELF)\n  val coll10 = SELF.R6[Coll[Long]].get\n  val l11 = coll10(placeholder[Int](11))\n  val l12 = coll10(placeholder[Int](12))\n  val l13 = SELF.R8[Long].get\n  val bool14 = l13 != placeholder[Long](13)\n  val box15 = OUTPUTS(placeholder[Int](14))\n  val coll16 = SELF.R5[Coll[Byte]].get\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val box18 = CONTEXT.dataInputs(placeholder[Int](15))\n  val coll19 = box18.R7[Coll[Long]].get\n  val bool20 = l2 >= l3\n  val l21 = l9 * box18.R4[Int].get.toLong / placeholder[Long](16)\n  val i22 = OUTPUTS.size\n  val box23 = if (i22 < placeholder[Int](17)) { SELF } else { OUTPUTS(placeholder[Int](18)) }\n  val opt24 = box15.R4[Box]\n  val box25 = if (opt24.isDefined) { opt24.get } else { OUTPUTS(i22 - placeholder[Int](19)) }\n  val opt26 = box25.R4[Int]\n  val l27 = l9 * if (opt26.isDefined) { max(opt26.get, placeholder[Int](20)) } else { placeholder[Int](21) }.toLong / placeholder[Long](22)\n  val l28 = box18.R6[Long].get\n  val bool29 = l27 == placeholder[Long](23)\n  val box30 = if (i22 < placeholder[Int](24)) { SELF } else { OUTPUTS(placeholder[Int](25)) }\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (((box1.value >= SELF.value) && (l2 < l3)) && (box1.tokens(placeholder[Int](26)) == coll4(placeholder[Int](27)))) && (\n                                      ((func8(box1) >= l9 + l11) || (l9 < l12)) || (bool14 && (func8(box1) >= l13))\n                                    )\n                                  ) && (func8(box1) >= l12)\n                                ) && (box1.propositionBytes == SELF.propositionBytes)\n                              ) && (i5 == box1.tokens.size)\n                            ) && (box15.propositionBytes == coll16)\n                          ) && (func8(box15) >= l9)\n                        ) && (box1.R4[Coll[Byte]].get == coll17)\n                      ) && (box1.R5[Coll[Byte]].get.size > placeholder[Int](28))\n                    ) && (box1.R6[Coll[Long]].get.size == placeholder[Int](29))\n                  ) && (box1.R6[Coll[Long]].get(placeholder[Int](30)) == l12)\n                ) && (box1.R6[Coll[Long]].get(placeholder[Int](31)) == l11)\n              ) && (box1.R7[Long].get == if (l3 - l2 <= coll19(placeholder[Int](32))) { l3 + coll19(placeholder[Int](33)) } else { l3 })\n            ) && (box1.R8[Long].get == l13)\n          ) && (box1.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])\n        ) || (\n          (\n            (\n              (\n                (\n                  (\n                    (((bool20 || ((l9 >= l13) && bool14)) && (func8(box15) >= l21)) && (box15.propositionBytes == box18.R5[Coll[Byte]].get)) && (\n                      box1.tokens(placeholder[Int](34)) == coll4(placeholder[Int](35))\n                    )\n                  ) && (box1.propositionBytes == coll16)\n                ) && (func8(box23) >= l9 - l21 - l27 - if (bool7) { l28 * placeholder[Long](36) } else { placeholder[Long](37) })\n              ) && (box23.propositionBytes == coll17)\n            ) && (\n              bool29 || (\n                ((blake2b256(box25.bytes) == coll4(placeholder[Int](38))._1) && (func8(box30) >= l27)) && (box30.propositionBytes == box25.propositionBytes)\n              )\n            )\n          ) && (i22 == if (bool29) { placeholder[Int](39) } else { placeholder[Int](40) })\n        )\n      ) || (\n        (\n          ((((l9 < l12) && bool20) && (i22 == placeholder[Int](41))) && (box1.tokens(placeholder[Int](42)) == coll4(placeholder[Int](43)))) && (\n            box1.propositionBytes == coll17\n          )\n        ) && (func8(box1) >= l9 - if (bool7) { l28 } else { placeholder[Long](44) })\n      )\n    ) && (box18.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "51150dd90770116af73ca631c2f429c8166a5665e25d63fbd19c1765b7670c01",
          "index": 0,
          "amount": 1,
          "name": "ERGYOROI #134 Maneki-Neko The Beckoning Cat",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d18bc688c6c0de358af435da4d166a4748c0d261246a011c457bc9e38160804e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d18bc688c6c0de358af435da4d166a4748c0d261246a011c457bc9e38160804e"
        },
        "R6": {
          "serializedValue": "110280d0dbc3f40280d0acf30e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[50000000000,2000000000]"
        },
        "R8": {
          "serializedValue": "058080f985d404",
          "sigmaType": "SLong",
          "renderedValue": "80000000000"
        },
        "R7": {
          "serializedValue": "05c6e8f5ce9360",
          "sigmaType": "SLong",
          "renderedValue": "1651900332579"
        },
        "R9": {
          "serializedValue": "0e667b22696e697469616c426964223a35303030303030303030302c22737461727454696d65223a313635313436383338353237382c226465736372697074696f6e223a224f726967696e616c20706965636520636865636b206d696e742061646472657373227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a35303030303030303030302c22737461727454696d65223a313635313436383338353237382c226465736372697074696f6e223a224f726967696e616c20706965636520636865636b206d696e742061646472657373227d"
        },
        "R4": {
          "serializedValue": "0e240008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0"
        }
      },
      "spentTransactionId": "87b360bdd6b38805c6758289eef711854729538c674db47dae6a34ce136204be",
      "mainChain": true
    },
    {
      "boxId": "5f2780a1bad8908837f46665b9ffd1140d77142bda81ce0bd509a829e39949f8",
      "transactionId": "5b68453d73b97fd836c5a2ee2da6b8724650011431b44304f9d0592a6b53dfda",
      "blockId": "89ce2cc50ca850b07850f46ef43d2c5bcce814f9ceb6dffa49334fb47662b45d",
      "value": 9000000,
      "index": 1,
      "globalIndex": 16421889,
      "creationHeight": 743871,
      "settlementHeight": 743873,
      "ergoTree": "0008cd03b40dd015d485ffeacf5f7d0972894ea152600c1bca5ead485e41fdd98f9320d0",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b40dd0,83c23e,...)))}",
      "address": "9hq6vnN36GibhacQ76gyTcxkKJyPjhCgk8F9cAJNnvZMNqHE6wC",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "5813c9ab093d4274b41d9a6d235dabd58b33737b48ba990525c7da17a0c862e7",
      "mainChain": true
    },
    {
      "boxId": "e269c1803727f39c82e8fc95be10de81aaca0a06c14891dc1995332965510f65",
      "transactionId": "5b68453d73b97fd836c5a2ee2da6b8724650011431b44304f9d0592a6b53dfda",
      "blockId": "89ce2cc50ca850b07850f46ef43d2c5bcce814f9ceb6dffa49334fb47662b45d",
      "value": 1000000,
      "index": 2,
      "globalIndex": 16421890,
      "creationHeight": 743871,
      "settlementHeight": 743873,
      "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": "73bb481a9d31105296a31e62060da2b300164529d9cae1ed70c4f863322753dc",
      "mainChain": true
    }
  ],
  "size": 1421,
  "isUnconfirmed": false
}