Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
100 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.1513414 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
100 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.1499609 ERG
Spent in transaction:
Settlement height:
Value:
0.0013805 ERG
Transaction Details
Status: Confirmed
Size: 1.23 KB
Received time: 12/7/2020 05:59:45 PM
Included in blocks: 377,709
Confirmations: 1,395,411
Total coins transferred: 100.15 ERG
Fees: 0.0013805 ERG
Fees per byte: 0.0000011 ERG
Raw Transaction Data
{
  "id": "72c42c2a6af62b476e8ca546896500a318a0b681b982989c4b1a314796b2f1e7",
  "blockId": "4b4b6a2b1f70779b9e2b40bbf9568c0062e5752b311ab8b51e4d5c21e7ab64c4",
  "inclusionHeight": 377709,
  "timestamp": 1607363985554,
  "index": 13,
  "globalIndex": 822254,
  "numConfirmations": 1395411,
  "inputs": [
    {
      "boxId": "e7a3d5447251da671258bec46b3328b9b26a5bc48c841c7f48513c4077751a20",
      "value": 100000000000,
      "index": 0,
      "spendingProof": "fd750e491f336fadf6deb2f85dce502a26fe7e5c424d025f15b4eae85f9c2f001230a9418e79cfbaea4ed7df66069eed01a938d0426edfea79e1f6516cb79d593f0e59f47051c494f9ecfcbe7cb0e9335eca2ebd39769c4e122e02f44b778efb5477348a671017df9e03e83e2190df7c",
      "outputBlockId": "2d5855a299939dce10afd52b681e5f7c542b458786629066d3111b6b9b956324",
      "outputTransactionId": "155a918739308cf8f978bacd54e07c53e4a8b1d59a63765e9a89241a584afe8b",
      "outputIndex": 1,
      "outputGlobalIndex": 2021371,
      "outputCreatedAt": 377702,
      "outputSettledAt": 377704,
      "ergoTree": "10060e2002d1541415c323527f19ef5b103eb33c220ea8b66fcb711806b0037d115d63f204000402040004040e201a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98d803d601e4c6a70507d602d901026393cbc27202e4c6a7070ed6037300ea02eb02cd7201cedb6a01dde4c6a70407e4c6a706077201d1ececedda720201b2a573010093cbc2b2a47302007203edda720201b2a473030093cbc2b2a47304007203afa5d9010463afdb63087204d901064d0e948c7206017305",
      "ergoTreeConstants": "0: Coll(2,-47,84,20,21,-61,35,82,127,25,-17,91,16,62,-77,60,34,14,-88,-74,111,-53,113,24,6,-80,3,125,17,93,99,-14)\n1: 0\n2: 1\n3: 0\n4: 2\n5: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val func2 = {(box2: Box) => blake2b256(box2.propositionBytes) == SELF.R7[Coll[Byte]].get }\n  val coll3 = placeholder[Coll[Byte]](0)\n  proveDlog(ge1) || proveDHTuple(Global.groupGenerator, SELF.R4[GroupElement].get, SELF.R6[GroupElement].get, ge1) && sigmaProp(\n    (\n      (func2(OUTPUTS(placeholder[Int](1))) && (blake2b256(INPUTS(placeholder[Int](2)).propositionBytes) == coll3)) || (\n        func2(INPUTS(placeholder[Int](3))) && (blake2b256(INPUTS(placeholder[Int](4)).propositionBytes) == coll3)\n      )\n    ) || OUTPUTS.forall({(box4: Box) => box4.tokens.forall({(tuple6: (Coll[Byte], Long)) => tuple6._1 != placeholder[Coll[Byte]](5) }) })\n  )\n}",
      "address": "2kpyq1fiKFRACqTBYLqT4BNGfnrym226pPanSzftuVJdWmxAKncZScWcY2XkJXLdFFKXcqy7zLB8LVpHkaXgyAJkjTC4LXxss6tMbL7ZqEpwj5oGhv1q2FbsCab2KR2RdWhrwWSpC6qXXR6srcbve7c5ni8JQhWQKZdCqiuWxTXyapsTE1mB459YgLcPBBrPmA8qdudEToo9QVWXPSwXTGq3Uxod5V5JaBjWPcPi7UPMR1J9Y5guSCVxbLavcRnPxoxtgouFGimPcYxpMd5Vc",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 43,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0702da235b5075b00f03c2c52d1cbf401cc7b05c94d332e0062cc83f85699a805fbd",
          "sigmaType": "SGroupElement",
          "renderedValue": "02da235b5075b00f03c2c52d1cbf401cc7b05c94d332e0062cc83f85699a805fbd"
        },
        "R5": {
          "serializedValue": "0702e31a49e83ad3d008817868801595d09199a1cc40624e5b7a50dab4fcd514a65c",
          "sigmaType": "SGroupElement",
          "renderedValue": "02e31a49e83ad3d008817868801595d09199a1cc40624e5b7a50dab4fcd514a65c"
        },
        "R6": {
          "serializedValue": "0703b3fc5583dbc38275a1e90f055fa53488e26410a962af3ed0ff844c5139396857",
          "sigmaType": "SGroupElement",
          "renderedValue": "03b3fc5583dbc38275a1e90f055fa53488e26410a962af3ed0ff844c5139396857"
        },
        "R7": {
          "serializedValue": "0e20199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb"
        }
      }
    },
    {
      "boxId": "be105f10489376d1eca57616c6af5e029c929e73a8d137cfef68c12921828a8b",
      "value": 151341400,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "f2094e96e8a5e3da6c8e91674ace97783e8ddb9ab3736dee4196464acbc1850b",
      "outputTransactionId": "9a4707c7ea54983255adec0a375d693f3c8c4bee5360babd2eeb494cf6be1815",
      "outputIndex": 1,
      "outputGlobalIndex": 2021425,
      "outputCreatedAt": 377703,
      "outputSettledAt": 377705,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "b5b2b63ad0ec0f3c30574e806beb6a97c3561ce853701a2498219a026869eda5",
      "transactionId": "72c42c2a6af62b476e8ca546896500a318a0b681b982989c4b1a314796b2f1e7",
      "blockId": "4b4b6a2b1f70779b9e2b40bbf9568c0062e5752b311ab8b51e4d5c21e7ab64c4",
      "value": 100000000000,
      "index": 0,
      "globalIndex": 2021518,
      "creationHeight": 377707,
      "settlementHeight": 377709,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: Coll(-55,-1,-73,-65,116,-51,122,15,-62,-73,107,-81,84,-76,-58,25,43,10,22,-119,-26,-80,-22,107,93,-104,-124,71,-61,83,-93,-18)\n3: 0\n4: 0\n5: 1\n6: 2\n7: 1\n8: 0\n9: 1\n10: 1\n11: 0\n12: false",
      "ergoTreeScript": "{\n  val ge1 = SELF.R4[GroupElement].get\n  val coll2 = placeholder[Coll[Byte]](0)\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val opt4 = box3.R4[GroupElement]\n  val coll5 = placeholder[Coll[Byte]](2)\n  val ge6 = Global.groupGenerator\n  proveDlog(ge1) && sigmaProp(\n    OUTPUTS.forall({(box7: Box) => box7.tokens.forall({(tuple9: (Coll[Byte], Long)) => tuple9._1 != coll2 }) })\n  ) || if (opt4.isDefined) {(\n    val coll7 = box3.tokens\n    val tuple8 = coll7(placeholder[Int](3))\n    val coll9 = SELF.tokens\n    val tuple10 = coll9(placeholder[Int](4))\n    val func11 = {(box11: Box) =>\n      ((blake2b256(box11.propositionBytes) == coll5) && (box11.R7[Coll[Byte]].get == blake2b256(SELF.propositionBytes))) && (box11.value == SELF.value)\n    }\n    val box12 = OUTPUTS(placeholder[Int](5))\n    val ge13 = box3.R5[GroupElement].get\n    val ge14 = opt4.get\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    ((tuple8._1 == tuple10._1) && (tuple8._2 * placeholder[Long](6) > tuple10._2)) || (\n                      blake2b256(INPUTS(placeholder[Int](7)).propositionBytes) == coll5\n                    )\n                  ) && (((func11(box3) && func11(box12)) && (coll7 == box12.tokens)) && \n                      val tuple15 = (coll2, placeholder[Long](8))\n                      coll9.getOrElse(placeholder[Int](9), tuple15) == coll7.getOrElse(placeholder[Int](10), tuple15)\n                    )\n                ) && (box3.R6[GroupElement].get == ge1)\n              ) && (box12.R6[GroupElement].get == ge1)\n            ) && (box12.R4[GroupElement].get == ge13)\n          ) && (box12.R5[GroupElement].get == opt4.get)\n        ) && (SELF.id == INPUTS(placeholder[Int](11)).id)\n      ) && (opt4.get != ge13)\n    ) && proveDHTuple(ge6, ge1, ge14, ge13) || proveDHTuple(ge6, ge1, ge13, ge14)\n  )} else { sigmaProp(placeholder[Boolean](12)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 42,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "07039a3706f53f97fb2d7262b6047d2a7507144badb5fc4682e3fe57a9bb649173f1",
          "sigmaType": "SGroupElement",
          "renderedValue": "039a3706f53f97fb2d7262b6047d2a7507144badb5fc4682e3fe57a9bb649173f1"
        }
      },
      "spentTransactionId": "1e8db5c9aa4e9f4e6b8033270daac4ae4eecc9891e0d63a2506417bff86a4452",
      "mainChain": true
    },
    {
      "boxId": "3ba134cd7ab52f5d14fd92152023533d65d276e3a10879ee5f7b53ad71e8c58a",
      "transactionId": "72c42c2a6af62b476e8ca546896500a318a0b681b982989c4b1a314796b2f1e7",
      "blockId": "4b4b6a2b1f70779b9e2b40bbf9568c0062e5752b311ab8b51e4d5c21e7ab64c4",
      "value": 149960900,
      "index": 1,
      "globalIndex": 2021519,
      "creationHeight": 377707,
      "settlementHeight": 377709,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "4B8vRwhxhAJb8TuN4RZpBeLmAkQUtf7a4QaYqqSCZAQHjyhzgVLGiFTPp9CaZRbssRnVHAzqUKtBBCWjfMSxpi1Z59H7sj1E8o6XFqYCRYFp1n2aC6tYptFLrrX3c1jXBhcsS7NNU5NLHSuCNC6bDf9KYhxfgQTtYkozrGk2qzB3aB8mmaC8ZHaAfzvQmSzcxGwtTyquk4yfeR9tsvrvhGPeyv6Ys74Q3VqQoVkuSMq21gRY5wgBz4gq6tTBY1Xv4BkHoFQm2wx8TWQc8Rof81DCePanX598Z9ZJzaDLnT5TDjQpECKPXvuuxLivbbFjtc4FZ65xTSHGk2uHsohRAMrMiug5aVa7UXwoRRLomvCrg8MbyowkuiQXcZWu8ue3QBTLuL5yy6yqxs2SYDPiFHqJhU3ag94Tb5Q2bPaJcAgomJehtn9BB5L9GoLe6Mx9Jti6F1WXgrGcuHeBQnXpiS8pRMN845AxseExzyvksmj4gyXEJqgookbneHtPuDW3QefeWH4LH13AvmXhm8QFTYdAFRuhXMBwJJbXL1yBcLE4nexa7d2AY7Hndr7gfecxRY4UnypdpLnpTTec5vEppaDrEx6KQ4gdeiDyJLmJCGHeB",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      },
      "spentTransactionId": "cc34c35086b58ef9a7a50e2da4f4ca17f4bf9d99013e4d8cf3c6b03a032a575c",
      "mainChain": true
    },
    {
      "boxId": "06965f79c46cb3a2005fc3bacf27eb579991c7aa87bb6ce7983e4d772ec68669",
      "transactionId": "72c42c2a6af62b476e8ca546896500a318a0b681b982989c4b1a314796b2f1e7",
      "blockId": "4b4b6a2b1f70779b9e2b40bbf9568c0062e5752b311ab8b51e4d5c21e7ab64c4",
      "value": 1380500,
      "index": 2,
      "globalIndex": 2021520,
      "creationHeight": 377707,
      "settlementHeight": 377709,
      "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": "b7259c9e7c808ffe88accdc336523cd0444fc68f34e2fba450e149ebde5ecf27",
      "mainChain": true
    }
  ],
  "size": 1255,
  "isUnconfirmed": false
}