Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
1.69 ERG
Output transaction:
Settlement height:
Value:
0.69 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
1.69 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.69 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.42 KB
Received time: 12/12/2021 01:09:18 AM
Included in blocks: 639,405
Confirmations: 1,119,535
Total coins transferred: 2.38 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000689 ERG
Raw Transaction Data
{
  "id": "bdcd7ac0fe84d1faa0c80976fda999dcf8fe8d5588b7a2b63778b6039ba153cb",
  "blockId": "4072af0645fd68c3b49040128ee17b0260e03a27af3fa7e03c6e6dfcefd99d2e",
  "inclusionHeight": 639405,
  "timestamp": 1639271358699,
  "index": 36,
  "globalIndex": 2283738,
  "numConfirmations": 1119535,
  "inputs": [
    {
      "boxId": "88f8cb0e5e79cf688a6b5295bc4105a08a25a914dd928a5814cd8ba0e7b2cb36",
      "value": 1691000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "4072af0645fd68c3b49040128ee17b0260e03a27af3fa7e03c6e6dfcefd99d2e",
      "outputTransactionId": "c4743dabbb8a32083b85dc56b44ec7a01b81b2cf9e5adb190001ffb2ea0c32af",
      "outputIndex": 0,
      "outputGlobalIndex": 10767022,
      "outputCreatedAt": 639403,
      "outputSettledAt": 639405,
      "ergoTree": "101008cd036de6c68dff9bfcf9402f3ca726878ee5909d53ccdf9c072b4ffa625f9c9eb811040004020e201588be65ecb73c3cf806faa74497ab66d0e9afde314caea41941580d7a2a189a0400010104000580eadacb0c040004020e000580eadacb0c0500058092f401040405c0a0ddc2b55fd802d6017300d602b2a5730100d1edeceded93c5b2a499b1a4730200730393e4c6b2a5730400050ed07201eced730593c1b2a57306007307d801d603b2db6308b2a5730800730900ed938c720301730a938c720302730beded92c1720299b0a4730cd9010341639a8c720301c18c720302730d93c27202d0720193b1a5730e8f7ea305730f",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(6de6c6,3b7feb,...)))\n1: 0\n2: 1\n3: Coll(21,-120,-66,101,-20,-73,60,60,-8,6,-6,-89,68,-105,-85,102,-48,-23,-81,-34,49,76,-82,-92,25,65,88,13,122,42,24,-102)\n4: 0\n5: true\n6: 0\n7: 1690000000\n8: 0\n9: 1\n10: Coll()\n11: 1690000000\n12: 0\n13: 2000000\n14: 2\n15: 1639271082016",
      "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(placeholder[Int](4)).R5[Coll[Byte]].get == prop1.propBytes)\n        ) && ((placeholder[Boolean](5) && (OUTPUTS(placeholder[Int](6)).value == placeholder[Long](7))) || \n            val tuple3 = OUTPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n            (tuple3._1 == placeholder[Coll[Byte]](10)) && (tuple3._2 == placeholder[Long](11))\n          )\n      ) || (\n        (\n          (box2.value >= INPUTS.fold(placeholder[Long](12), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](13)) && (\n            box2.propositionBytes == prop1.propBytes\n          )\n        ) && (OUTPUTS.size == placeholder[Int](14))\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](15))\n  )\n}",
      "address": "6YCoYoBXtcbrjY1HySx6uhGULyP8CDqkjKXfQYhBPVXmLAwabyFrFRdeqArUcedYAcWLeNFt1FRrAHh66bxEGx8Aq4ynV7qvFeJiFvAyNX6M6wzjtgZcuuxhNi3wQAj2kEBKLgAEZXitVd7rbUVv2QnUrMFTdtf7DKX2hv73DK3xFG4JJnK6S24M4DfKezQmLHQxWSL7dGycm8P684GrD3ZyzWPge4AcrSjFRGBXdkKnQCynE9Sc4EnuK4oDSbTuVwCZKjjLTMPwms4HBpoPdnAG78Y8gyXZE3XbG42CLzzPmaa3cCZ2s7eB84JAJ2Kkdnrc3CBudb3TewBCT8DZWDLSE",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "1588be65ecb73c3cf806faa74497ab66d0e9afde314caea41941580d7a2a189a",
      "value": 690000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "88c830cbedec6844f61d8e481addc25b292982fe5bb1a136beaea0ded70dc63a",
      "outputTransactionId": "af4021d33421c30583337ec24dfba37821b8166059a61e8cabca43395d910007",
      "outputIndex": 0,
      "outputGlobalIndex": 10530201,
      "outputCreatedAt": 635385,
      "outputSettledAt": 635387,
      "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": "cb5e8b528f51fea55937e485a097b24db5a43bdad697b61ff877cb8f825cf86b",
          "index": 0,
          "amount": 1,
          "name": "Ergnome #740 Matte the Lending Grandma",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd0288d4b825d7515187b95bd62e406981678560dc16a2eadd6d76aed57511efef1b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd0288d4b825d7515187b95bd62e406981678560dc16a2eadd6d76aed57511efef1b"
        },
        "R6": {
          "serializedValue": "110280c284920580a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[690000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0580e0a596bb11",
          "sigmaType": "SLong",
          "renderedValue": "300000000000"
        },
        "R7": {
          "serializedValue": "05de87b5cdac60",
          "sigmaType": "SLong",
          "renderedValue": "1655254196719"
        },
        "R9": {
          "serializedValue": "0e84017b22696e697469616c426964223a3639303030303030302c22737461727454696d65223a313633383233363930343733322c226465736372697074696f6e223a225345524945532032202d2046554c4c204d49534d41544348202d204572676e6f6d652023373430204d6174746520746865204c656e64696e67204772616e646d61227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a3639303030303030302c22737461727454696d65223a313633383233363930343733322c226465736372697074696f6e223a225345524945532032202d2046554c4c204d49534d41544348202d204572676e6f6d652023373430204d6174746520746865204c656e64696e67204772616e646d61227d"
        },
        "R4": {
          "serializedValue": "0e240008cd02c07b243b10020aca22ec70431a6a0fbb975c99926d16db8e7fa60b65ea68edaf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02c07b243b10020aca22ec70431a6a0fbb975c99926d16db8e7fa60b65ea68edaf"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "46aa0a01d27d2366c090eef5358169274403824885e0fb9d6bf50f7246d2a174",
      "value": 16000000,
      "index": 0,
      "outputBlockId": "7e9c91f5fe6f7b4e25f055378d935513a2e8b60ba796eacef1423cb515a4994a",
      "outputTransactionId": "5772538f683adcb1344c512de57b874b5d9eff1aadfd0c421c16b352d41bda24",
      "outputIndex": 0,
      "ergoTree": "0008cd02d84d2e1ca735ce23f224bd43cd43ed67053356713a8a6920965b3bde933648dc",
      "address": "9gAKeRu1W4Dh6adWXnnYmfqjCTnxnSMtym2LPPMPErCkusCd6F3",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03af6458492e778717a52e46828a116d37b018153d6082ff76c356cdb9f9dedf32",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03af6458492e778717a52e46828a116d37b018153d6082ff76c356cdb9f9dedf32"
        },
        "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": "67d89397891f63a45c9677c84042471472cff5310d041aa249ed2c1f1e646826",
      "transactionId": "bdcd7ac0fe84d1faa0c80976fda999dcf8fe8d5588b7a2b63778b6039ba153cb",
      "blockId": "4072af0645fd68c3b49040128ee17b0260e03a27af3fa7e03c6e6dfcefd99d2e",
      "value": 1690000000,
      "index": 0,
      "globalIndex": 10767051,
      "creationHeight": 639403,
      "settlementHeight": 639405,
      "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": "cb5e8b528f51fea55937e485a097b24db5a43bdad697b61ff877cb8f825cf86b",
          "index": 0,
          "amount": 1,
          "name": "Ergnome #740 Matte the Lending Grandma",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd036de6c68dff9bfcf9402f3ca726878ee5909d53ccdf9c072b4ffa625f9c9eb811",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036de6c68dff9bfcf9402f3ca726878ee5909d53ccdf9c072b4ffa625f9c9eb811"
        },
        "R6": {
          "serializedValue": "110280c284920580a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[690000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0580e0a596bb11",
          "sigmaType": "SLong",
          "renderedValue": "300000000000"
        },
        "R7": {
          "serializedValue": "05de87b5cdac60",
          "sigmaType": "SLong",
          "renderedValue": "1655254196719"
        },
        "R9": {
          "serializedValue": "0e84017b22696e697469616c426964223a3639303030303030302c22737461727454696d65223a313633383233363930343733322c226465736372697074696f6e223a225345524945532032202d2046554c4c204d49534d41544348202d204572676e6f6d652023373430204d6174746520746865204c656e64696e67204772616e646d61227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a3639303030303030302c22737461727454696d65223a313633383233363930343733322c226465736372697074696f6e223a225345524945532032202d2046554c4c204d49534d41544348202d204572676e6f6d652023373430204d6174746520746865204c656e64696e67204772616e646d61227d"
        },
        "R4": {
          "serializedValue": "0e240008cd02c07b243b10020aca22ec70431a6a0fbb975c99926d16db8e7fa60b65ea68edaf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02c07b243b10020aca22ec70431a6a0fbb975c99926d16db8e7fa60b65ea68edaf"
        }
      },
      "spentTransactionId": "a5c77949a3c485afd67e4d984fae1c6217b3120b27a4ab216da09d4f1e19d2c6",
      "mainChain": true
    },
    {
      "boxId": "8766570d5c8f887c8e5c411a8445b208719878f8ca126e464bbcb83b631d4bd3",
      "transactionId": "bdcd7ac0fe84d1faa0c80976fda999dcf8fe8d5588b7a2b63778b6039ba153cb",
      "blockId": "4072af0645fd68c3b49040128ee17b0260e03a27af3fa7e03c6e6dfcefd99d2e",
      "value": 690000000,
      "index": 1,
      "globalIndex": 10767052,
      "creationHeight": 639403,
      "settlementHeight": 639405,
      "ergoTree": "0008cd0288d4b825d7515187b95bd62e406981678560dc16a2eadd6d76aed57511efef1b",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(88d4b8,51fa8c,...)))}",
      "address": "9fZKgFjUvqJk1JrPnU4jeE3diCepgNbRwGAPFJa5XsczA9ZhYQq",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "aa2980f1ee0c2c5ebec8eae8e3c1ad19c6d5a6bb44430299de5d1759191edb12",
      "mainChain": true
    },
    {
      "boxId": "d3a7c9a2bfb6d34225452acd25a0dc31dbf24ed5c63cc8108508233961592df0",
      "transactionId": "bdcd7ac0fe84d1faa0c80976fda999dcf8fe8d5588b7a2b63778b6039ba153cb",
      "blockId": "4072af0645fd68c3b49040128ee17b0260e03a27af3fa7e03c6e6dfcefd99d2e",
      "value": 1000000,
      "index": 2,
      "globalIndex": 10767053,
      "creationHeight": 639403,
      "settlementHeight": 639405,
      "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": "5ea56b7b16c4e2b2b0e18daf390fcb96058cd198c23b3668e1bb6a2d5e2f7086",
      "mainChain": true
    }
  ],
  "size": 1451,
  "isUnconfirmed": false
}