Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
120.48 ERG
Tokens:
Loading assets...
Outputs (3)
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
120.48 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.39 KB
Received time: 4/8/2025 10:53:36 PM
Included in blocks: 1,499,377
Confirmations: 258,465
Total coins transferred: 120.48 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000317 ERG
Raw Transaction Data
{
  "id": "dfabab3387f2b86efe98cecaedd7a4e26235ed4dcdddf22b0e81ef2425eed2d1",
  "blockId": "1bd6d8b621c054a6ff840240c2cfc57a70b9debd1a1a43cfbfa0c6505a990204",
  "inclusionHeight": 1499377,
  "timestamp": 1744152816036,
  "index": 3,
  "globalIndex": 8812798,
  "numConfirmations": 258465,
  "inputs": [
    {
      "boxId": "eea8b8ad0c6538f7a24a6749758aad378df3be4b7d38e5a6ec9df9be7454e3e1",
      "value": 120483709288,
      "index": 0,
      "spendingProof": "7394a9b606d050f9417cf22c54ea72d1172c279642f2cf944a409c1b429fe0cad5d831e7031f295ce5ae8566a237a44d50591f0937f4b15f",
      "outputBlockId": "cc209edd6d2caa716def1273cfecae600b6562910e3f52d716f27bb60705d071",
      "outputTransactionId": "5e3b76c0dcbe919b07919368ccec32c705725110d2bf1777afe1e17bce84efa7",
      "outputIndex": 2,
      "outputGlobalIndex": 47249158,
      "outputCreatedAt": 1499364,
      "outputSettledAt": 1499366,
      "ergoTree": "0008cd02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(627b2a,4dc0a9,...)))}",
      "address": "9fGS5mw42MPszcjurgijPP3Abqc47Gm8rwUrqM7TQMBY3AFNRWB",
      "assets": [
        {
          "tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "index": 0,
          "amount": 1255,
          "name": "SigUSD",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
          "index": 1,
          "amount": 5299,
          "name": "Sigmanaut",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
          "index": 2,
          "amount": 14500,
          "name": "Shaggy",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "72f431450530aa0b750918d23ba5f891f08e4840cc37fdc64745a3c3c1353ce8",
          "index": 3,
          "amount": 194,
          "name": "TRUMP 2024",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
          "index": 4,
          "amount": 21069420,
          "name": "🚬",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
          "index": 5,
          "amount": 69420,
          "name": "rsHOSKY",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "f0d5bdf474fcbd4249608e6dc6e9cf34a327b218f66445ea545b4c711b4676e3",
          "index": 6,
          "amount": 1234321,
          "name": "COS",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
          "index": 7,
          "amount": 22693111154,
          "name": "ErgOne",
          "decimals": 8,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "35e97bf1994e33f19e72017129f2a23910753b2540043dde3b93e4f6e32d625b",
      "transactionId": "dfabab3387f2b86efe98cecaedd7a4e26235ed4dcdddf22b0e81ef2425eed2d1",
      "blockId": "1bd6d8b621c054a6ff840240c2cfc57a70b9debd1a1a43cfbfa0c6505a990204",
      "value": 1100000,
      "index": 0,
      "globalIndex": 47249340,
      "creationHeight": 1499375,
      "settlementHeight": 1499377,
      "ergoTree": 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      "ergoTreeConstants": "0: Coll(101,98,48,101,53,49,57,52,48,50,100,102,100,52,55,57,53,49,98,57,99,54,98,101,98,55,100,100,99,56,99,57,101,57,55,48,56,48,50,102,52,54,102,48,101,56,98,50,97,48,50,57,56,99,48,56,100,55,99,49,50,101,51,49)\n1: SigmaProp(ProveDlog(ECPoint(75acc4,25ee17,...)))\n2: 0\n3: 0\n4: 1\n5: 127\n6: 3\n7: 2\n8: 0\n9: 1\n10: Coll(0,8,-51,2,18,-119,25,-122,77,69,118,50,84,63,54,-89,67,122,-126,85,-111,83,86,57,-80,19,-28,1,-39,4,63,83,-32,-125,-69,-113)\n11: 720\n12: 0\n13: 720\n14: 0\n15: Coll(101,53,52,48,99,99,101,102,102,100,51,98,56,100,100,48,102,52,48,49,49,57,51,53,55,54,99,99,52,49,51,52,54,55,48,51,57,54,57,53,57,54,57,52,50,55,100,102,57,52,52,53,52,49,57,51,100,100,100,102,98,51,55,53)\n16: 0\n17: 0\n18: 30\n19: 8\n20: 1\n21: 1\n22: 0\n23: 1\n24: 1\n25: true\n26: false\n27: 0\n28: 10\n29: 100\n30: 0\n31: 1\n32: 2\n33: 1\n34: 0\n35: 1\n36: 0\n37: 2\n38: 2\n39: 0\n40: 60\n41: 0\n42: 3\n43: 1\n44: 0\n45: 2\n46: 1\n47: 2\n48: 2\n49: 0\n50: 0\n51: false\n52: 0\n53: 0\n54: false\n55: 0\n56: true\n57: 4\n58: 1\n59: 0\n60: 0\n61: 5\n62: 1\n63: 0\n64: 0\n65: 800\n66: 1000\n67: 1\n68: 120\n69: 1000\n70: 0\n71: 2\n72: 30\n73: 1000\n74: 0\n75: 3\n76: 2\n77: 1\n78: 0\n79: 0\n80: true\n81: 0\n82: true\n83: 6\n84: 0\n85: 1\n86: 0\n87: 1\n88: 7\n89: 0\n90: 0\n91: 2\n92: 1\n93: 0\n94: 1\n95: 8\n96: 1\n97: 120\n98: 1000\n99: 0\n100: 2\n101: 30\n102: 1000\n103: 0\n104: 3\n105: 2\n106: 1\n107: 0\n108: 1\n109: 0\n110: true\n111: 0\n112: true\n113: 800\n114: 1000\n115: 9\n116: 0\n117: 0\n118: 1\n119: 0\n120: 1\n121: 2\n122: false",
      "ergoTreeScript": "{\n  val i1 = getVar[Int](0.toByte).get\n  val func2 = {(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) }\n  val prop3 = placeholder[SigmaProp](1)\n  val func4 = {(tuple4: (SigmaProp, Box)) =>\n    val coll6 = tuple4._2.propositionBytes\n    val coll7 = tuple4._1.propBytes\n    if (coll6(placeholder[Int](2)).toInt == placeholder[Int](3)) { coll6 == coll7 } else {(\n      val i8 = coll6.size\n      coll7.slice(placeholder[Int](4), coll7.size) == coll6.slice(if (i8 > placeholder[Int](5)) { placeholder[Int](6) } else { placeholder[Int](7) }, i8)\n    )}\n  }\n  val l5 = SELF.R8[Long].get\n  val coll6 = SELF.propositionBytes\n  val coll7 = SELF.tokens\n  val tuple8 = coll7(placeholder[Int](8))\n  val coll9 = tuple8._1\n  val tuple10 = coll7(placeholder[Int](9))\n  val coll11 = tuple10._1\n  val i12 = SELF.R4[Int].get\n  val tuple13 = SELF.R5[(SigmaProp, SigmaProp)].get\n  val prop14 = tuple13._1\n  val tuple15 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n  val prop16 = tuple13._2\n  val l17 = SELF.R9[Long].get\n  val coll18 = placeholder[Coll[Byte]](10)\n  val func19 = {(coll19: Coll[Byte]) =>\n    OUTPUTS.forall(\n      {(box21: Box) => allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != coll6)) }\n    )\n  }\n  val tuple20 = SELF.R7[(Boolean, Boolean)].get\n  val bool21 = tuple20._1\n  val i22 = HEIGHT - i12\n  val bool23 = (i22 <= placeholder[Int](11)) && (i22 > placeholder[Int](12))\n  val bool24 = i22 >= placeholder[Int](13)\n  val bool25 = tuple20._2\n  val func26 = {(coll26: Coll[Byte]) =>\n    OUTPUTS.filter({(box28: Box) => blake2b256(box28.propositionBytes) == coll26 }).map({(box28: Box) => box28.value }).fold(\n      placeholder[Long](14), {(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 }\n    )\n  }\n  val coll27 = placeholder[Coll[Byte]](15)\n  val coll28 = tuple15._1\n  val bool29 = coll28.size > placeholder[Int](16)\n  val coll30 = tuple15._2\n  val bool31 = coll30.size > placeholder[Int](17)\n  val i32 = i12 + placeholder[Int](18)\n  val i33 = i32 + placeholder[Int](19)\n  if (i1 == placeholder[Int](20)) {(\n    val box34 = INPUTS(placeholder[Int](21))\n    val box35 = OUTPUTS(placeholder[Int](22))\n    val tuple36 = box35.R5[(SigmaProp, SigmaProp)].get\n    val prop37 = tuple36._2\n    val l38 = box35.R9[Long].get\n    val coll39 = box35.tokens\n    val tuple40 = coll39(placeholder[Int](23))\n    val box41 = OUTPUTS(placeholder[Int](24))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          allOf(\n            Coll[Boolean](\n              func2(box34), allOf(\n                Coll[Boolean](prop37 != prop3, func4((prop37, box34)), box35.R7[(Boolean, Boolean)].get == (placeholder[Boolean](25), placeholder[Boolean](26)))\n              )\n            )\n          ), allOf(Coll[Boolean](l38 > placeholder[Long](27), l38 == placeholder[Long](28) * l5 / placeholder[Long](29), tuple40._2 == l5 + l38)), allOf(\n            Coll[Boolean](\n              box35.value == SELF.value, box35.propositionBytes == coll6, coll39(placeholder[Int](30)) == (\n                coll9, placeholder[Long](31)\n              ), tuple40._1 == coll11, box35.R4[Int].get == i12, tuple36._1 == prop14, box35.R6[(Coll[Byte], Coll[Byte])].get == tuple15, box35.R8[\n                Long\n              ].get == l5\n            )\n          ), allOf(Coll[Boolean](box41.value == box34.value, box41.propositionBytes == box34.propositionBytes, box41.tokens == box34.tokens))\n        )\n      )\n    ) && prop16\n  )} else { if (i1 == placeholder[Int](32)) {(\n      val box34 = INPUTS(placeholder[Int](33))\n      val box35 = OUTPUTS(placeholder[Int](34))\n      val box36 = OUTPUTS(placeholder[Int](35))\n      val tuple37 = box36.tokens(placeholder[Int](36))\n      val l38 = l17 / placeholder[Long](37)\n      val box39 = OUTPUTS(placeholder[Int](38))\n      val tuple40 = box39.tokens(placeholder[Int](39))\n      sigmaProp(allOf(Coll[Boolean](bool21, i22 >= placeholder[Int](40), allOf(Coll[Boolean](func4((prop16, box34)), func2(box34))), allOf(Coll[Boolean](func4((prop14, box35)), box35.tokens(placeholder[Int](41)) == (coll11, l5))), allOf(Coll[Boolean](box36.value == box34.value, box36.propositionBytes == box34.propositionBytes, allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l38)), func2(box36))), allOf(Coll[Boolean](box39.value == SELF.value, box39.propositionBytes == coll18, allOf(Coll[Boolean](tuple40._1 == coll11, tuple40._2 == tuple10._2 - l5 - l38)))), func19(coll9)))) && prop16\n    )} else { if (i1 == placeholder[Int](42)) {(\n        val box34 = INPUTS(placeholder[Int](43))\n        val box35 = OUTPUTS(placeholder[Int](44))\n        val l36 = l5 / placeholder[Long](45)\n        val box37 = OUTPUTS(placeholder[Int](46))\n        val l38 = l5 - l36\n        val l39 = l38 / placeholder[Long](47)\n        val box40 = OUTPUTS.getOrElse(placeholder[Int](48), SELF)\n        sigmaProp(allOf(Coll[Boolean](bool21, func4((prop14, box34)), allOf(Coll[Boolean](box35.propositionBytes == box34.propositionBytes, if (bool24) { box35.tokens(placeholder[Int](49)) == (coll11, l5) } else { if (bool23) { box35.tokens(placeholder[Int](50)) == (coll11, l36) } else { placeholder[Boolean](51) } })), allOf(Coll[Boolean](func4((prop16, box37)), if (bool24) {(\n                    val tuple41 = box37.tokens(placeholder[Int](52))\n                    allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l17))\n                  )} else { if (bool23) {(\n                      val tuple41 = box37.tokens(placeholder[Int](53))\n                      allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l17 + l38 - l39))\n                    )} else { placeholder[Boolean](54) } })), if (bool23) {(\n                val tuple41 = box40.tokens(placeholder[Int](55))\n                allOf(Coll[Boolean](box40.value == SELF.value, box40.propositionBytes == coll18, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l39))))\n              )} else { placeholder[Boolean](56) }, func19(coll9)))) && prop14\n      )} else { if (i1 == placeholder[Int](57)) {(\n          val box34 = INPUTS(placeholder[Int](58))\n          val box35 = OUTPUTS(placeholder[Int](59))\n          sigmaProp(allOf(Coll[Boolean](!bool21, func4((prop14, box34)), allOf(Coll[Boolean](box35.value == SELF.value, box35.propositionBytes == box34.propositionBytes, box35.tokens(placeholder[Int](60)) == (coll11, l5))), func19(coll9)))) && prop14\n        )} else { if (i1 == placeholder[Int](61)) {(\n            val box34 = INPUTS(placeholder[Int](62))\n            val box35 = OUTPUTS(placeholder[Int](63))\n            val tuple36 = box35.tokens(placeholder[Int](64))\n            val l37 = placeholder[Long](65) * l5 / placeholder[Long](66)\n            val box38 = OUTPUTS.getOrElse(placeholder[Int](67), SELF)\n            val l39 = func26(coll27)\n            val l40 = if (bool29) { placeholder[Long](68) * l5 / placeholder[Long](69) } else { placeholder[Long](70) }\n            val box41 = OUTPUTS.getOrElse(placeholder[Int](71), SELF)\n            val l42 = if (bool31) { placeholder[Long](72) * l5 / placeholder[Long](73) } else { placeholder[Long](74) }\n            val box43 = if (bool29 && bool31) { OUTPUTS(placeholder[Int](75)) } else { if (bool29) { OUTPUTS(placeholder[Int](76)) } else { OUTPUTS(placeholder[Int](77)) } }\n            val tuple44 = box43.tokens(placeholder[Int](78))\n            sigmaProp(allOf(Coll[Boolean](HEIGHT >= i32, HEIGHT >= i33, bool21, !bool25, allOf(Coll[Boolean](func4((prop16, box34)), func2(box34))), allOf(Coll[Boolean](box35.value == box34.value, box35.propositionBytes == box34.propositionBytes, allOf(Coll[Boolean](tuple36._1 == coll11, tuple36._2 == l17 + l37)), func2(box35))), if (bool29) {(\n                    val tuple45 = box38.tokens(placeholder[Int](79))\n                    allOf(Coll[Boolean](box38.value == l39, box38.propositionBytes == coll28, allOf(Coll[Boolean](tuple45._1 == coll11, tuple45._2 == l40))))\n                  )} else { placeholder[Boolean](80) }, if (bool31 && bool29) {(\n                    val tuple45 = box41.tokens(placeholder[Int](81))\n                    allOf(Coll[Boolean](box41.value == l39, box41.propositionBytes == coll30, allOf(Coll[Boolean](tuple45._1 == coll11, tuple45._2 == l42))))\n                  )} else { placeholder[Boolean](82) }, allOf(Coll[Boolean](box43.value == SELF.value, box43.propositionBytes == coll18, allOf(Coll[Boolean](tuple44._1 == coll11, tuple44._2 == l5 - l37 + l40 + l42)))), func19(coll9)))) && prop16\n          )} else { if (i1 == placeholder[Int](83)) {(\n              val box34 = OUTPUTS(placeholder[Int](84))\n              val tuple35 = box34.R7[(Boolean, Boolean)].get\n              val coll36 = box34.tokens\n              sigmaProp(allOf(Coll[Boolean]((HEIGHT >= i12) && bool21, HEIGHT < i33, func4((prop14, INPUTS(placeholder[Int](85)))), tuple35._2, allOf(Coll[Boolean](box34.value == SELF.value, box34.propositionBytes == coll6, coll36(placeholder[Int](86)) == tuple8, coll36(placeholder[Int](87)) == tuple10, box34.R4[Int].get == i12, box34.R5[(SigmaProp, SigmaProp)].get == tuple13, box34.R6[(Coll[Byte], Coll[Byte])].get == tuple15, tuple35._1 == bool21, box34.R8[Long].get == l5, box34.R9[Long].get == l17))))) && prop14\n            )} else { if (i1 == placeholder[Int](88)) {(\n                val box34 = OUTPUTS(placeholder[Int](89))\n                val tuple35 = box34.tokens(placeholder[Int](90))\n                val l36 = l17 / placeholder[Long](91)\n                val box37 = OUTPUTS(placeholder[Int](92))\n                val tuple38 = box37.tokens(placeholder[Int](93))\n                sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](94)))), allOf(Coll[Boolean](box34.value == SELF.value, func4((prop14, box34)), allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l36 + l5)))), allOf(Coll[Boolean](box37.propositionBytes == coll18, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l17 - l36)))), func19(coll9)))) && prop3\n              )} else { if (i1 == placeholder[Int](95)) {(\n                  val box34 = OUTPUTS.getOrElse(placeholder[Int](96), SELF)\n                  val l35 = func26(coll27)\n                  val l36 = if (bool29) { placeholder[Long](97) * l5 / placeholder[Long](98) } else { placeholder[Long](99) }\n                  val box37 = OUTPUTS.getOrElse(placeholder[Int](100), SELF)\n                  val l38 = if (bool31) { placeholder[Long](101) * l5 / placeholder[Long](102) } else { placeholder[Long](103) }\n                  val box39 = if (bool29 && bool31) { OUTPUTS(placeholder[Int](104)) } else { if (bool29) { OUTPUTS(placeholder[Int](105)) } else { OUTPUTS(placeholder[Int](106)) } }\n                  val tuple40 = box39.tokens(placeholder[Int](107))\n                  sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](108)))), if (bool29) {(\n                          val tuple41 = box34.tokens(placeholder[Int](109))\n                          allOf(Coll[Boolean](box34.value == l35, box34.propositionBytes == coll28, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l36))))\n                        )} else { placeholder[Boolean](110) }, if (bool31 && bool29) {(\n                          val tuple41 = box37.tokens(placeholder[Int](111))\n                          allOf(Coll[Boolean](box37.value == l35, box37.propositionBytes == coll30, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l38))))\n                        )} else { placeholder[Boolean](112) }, allOf(Coll[Boolean](box39.value == SELF.value, box39.propositionBytes == coll18, allOf(Coll[Boolean](tuple40._1 == coll11, tuple40._2 == l5 - placeholder[Long](113) * l5 / placeholder[Long](114) + l36 + l38)))), func19(coll9)))) && prop3\n                )} else { if (i1 == placeholder[Int](115)) {(\n                    val box34 = OUTPUTS(placeholder[Int](116))\n                    val l35 = box34.value\n                    val l36 = SELF.value\n                    val tuple37 = box34.tokens(placeholder[Int](117))\n                    val box38 = OUTPUTS(placeholder[Int](118))\n                    val tuple39 = box38.tokens(placeholder[Int](119))\n                    sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](120)))), allOf(Coll[Boolean](l35 == l36 / placeholder[Long](121), func4((prop14, box34)), allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l5)))), allOf(Coll[Boolean](box38.value == l36 - l35, func4((prop16, box38)), allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17)))), func19(coll9)))) && prop3\n                  )} else { sigmaProp(placeholder[Boolean](122)) } } } } } } } } }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "eea8b8ad0c6538f7a24a6749758aad378df3be4b7d38e5a6ec9df9be7454e3e1",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "index": 1,
          "amount": 10,
          "name": "SigUSD",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "5ccd02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bccd02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc",
          "sigmaType": "(SSigmaProp, SSigmaProp)",
          "renderedValue": "[02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc,02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc]"
        },
        "R6": {
          "serializedValue": "3c0e0e0000",
          "sigmaType": "(Coll[SByte], Coll[SByte])",
          "renderedValue": "[,]"
        },
        "R8": {
          "serializedValue": "0514",
          "sigmaType": "SLong",
          "renderedValue": "10"
        },
        "R7": {
          "serializedValue": "550000",
          "sigmaType": "(SBoolean, SBoolean)",
          "renderedValue": "[false,false]"
        },
        "R9": {
          "serializedValue": "0500",
          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "04b8d9bb01",
          "sigmaType": "SInt",
          "renderedValue": "1537628"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "566327c77c3a62ffd6b545404ea3b4683ea82ef1d25eef6224b79a4f14d1a935",
      "transactionId": "dfabab3387f2b86efe98cecaedd7a4e26235ed4dcdddf22b0e81ef2425eed2d1",
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      "value": 1100000,
      "index": 1,
      "globalIndex": 47249341,
      "creationHeight": 1499375,
      "settlementHeight": 1499377,
      "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": "a085fdecdd6e195a0181833254681668ebcb402dfd77efd686482714bb2e9ff1",
      "mainChain": true
    },
    {
      "boxId": "cfa6b0283f7a616bbbea613993291ef5ae069f5121db586546b88ba2ff856e06",
      "transactionId": "dfabab3387f2b86efe98cecaedd7a4e26235ed4dcdddf22b0e81ef2425eed2d1",
      "blockId": "1bd6d8b621c054a6ff840240c2cfc57a70b9debd1a1a43cfbfa0c6505a990204",
      "value": 120481509288,
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