Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
71.86 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
0.184 ERG
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Spent in transaction:
Settlement height:
Value:
0.012 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
71.66 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.06 KB
Received time: 3/30/2022 03:10:40 PM
Included in blocks: 717,394
Confirmations: 1,057,140
Total coins transferred: 71.86 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000949 ERG
Raw Transaction Data
{
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  "blockId": "c8cd376ca61a3f4209c8f8bcf871532bf6cd75463466d8312a8df8dc2f3a48ee",
  "inclusionHeight": 717394,
  "timestamp": 1648653040548,
  "index": 9,
  "globalIndex": 2900384,
  "numConfirmations": 1057140,
  "inputs": [
    {
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      "spendingProof": "ff8599986ee4b42e22f5021240344caf1e002704b14e5901b7addf2994f1574cf171db1531322e87e68d97ca7f470bc082a3948347a90d92",
      "outputBlockId": "817e8aed1b932b995e7d6a83c98945a50a5ed5598d3ba2fe45f01e8efca9ef13",
      "outputTransactionId": "104b4f931dba8b9e1e306966903cdc9fa70b3621c6d6413518fbdbf24d5468e1",
      "outputIndex": 4,
      "outputGlobalIndex": 14951295,
      "outputCreatedAt": 717391,
      "outputSettledAt": 717393,
      "ergoTree": "0008cd025732766a7341a3d2f750db43621b1a88e2f6b99e82fc86ac0fc83ad24bc5a61d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(573276,d83817,...)))}",
      "address": "9fBTrAJQC5MNRnVAhSR9ks7Ypriij4dmUszooNEKQJf8cxbud2A",
      "assets": [
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      "additionalRegisters": {}
    },
    {
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      "outputSettledAt": 717393,
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      "ergoTreeScript": "{if (OUTPUTS.size > placeholder[Int](0)) {(\n  val box1 = SELF.R6[Box].get\n  val opt2 = box1.R4[Int]\n  val l3 = SELF.R4[Long].get\n  val l4 = l3 / placeholder[Long](1)\n  sigmaProp(if (opt2.isDefined) {(\n      val box5 = OUTPUTS(placeholder[Int](2))\n      val i6 = opt2.get\n      val l7 = l3 * i6.toLong / placeholder[Long](3)\n      val box8 = OUTPUTS(placeholder[Int](4))\n      allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](5), if (((l7 != placeholder[Long](6)) && (i6 > placeholder[Int](7))) && (i6 < placeholder[Int](8))) {(\n            val box9 = OUTPUTS(placeholder[Int](9))\n            (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n          )} else { placeholder[Boolean](10) }, box1.id == SELF.tokens(placeholder[Int](11))._1))\n    )} else {(\n      val box5 = OUTPUTS(placeholder[Int](12))\n      val box6 = OUTPUTS(placeholder[Int](13))\n      allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](14), box1.id == SELF.tokens(placeholder[Int](15))._1))\n    )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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          "sigmaType": "SGroupElement",
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        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "0209f757c3a8c099ad6e0eac42b22f8df7a5a63f9ceca62debb16b134072f176",
      "transactionId": "7790e8050ec8404c472f1cddb63debbd0549a516adb25f59b186d09b8a90497a",
      "blockId": "c8cd376ca61a3f4209c8f8bcf871532bf6cd75463466d8312a8df8dc2f3a48ee",
      "value": 184000000,
      "index": 0,
      "globalIndex": 14951326,
      "creationHeight": 717391,
      "settlementHeight": 717394,
      "ergoTree": "0008cd02b21d9e7dded0810c00f6946014a688815c97855ef9f1a11235fc3020be808e03",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b21d9e,283fb6,...)))}",
      "address": "9fsWExiJsCZBGvWan6HvT9Bbko8njvPnuTqhQYPrNb1YSFbXoRc",
      "assets": [],
      "additionalRegisters": {
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          "serializedValue": "0e205e453eec5b3452790ad544a1fe145b5846c49c7462af71ed78f7b558cf790aef",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5e453eec5b3452790ad544a1fe145b5846c49c7462af71ed78f7b558cf790aef"
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      "ergoTree": "0008cd035afd0501f6f5c1c9fb9ed5afc84fbc02825c0c7c3f65970fa3e3d9c8c6abc546",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5afd05,88c665,...)))}",
      "address": "9h9ssEYyHaosFg6BjZRRr2zxzdPPvdb7Gt7FA8x7N9492nUjpsd",
      "assets": [],
      "additionalRegisters": {},
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    {
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      "settlementHeight": 717394,
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      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,3,-61,-4,74,37,74,116,9,-105,24,113,-30,-100,25,48,-10,-54,100,99,125,-128,-111,-115,-102,46,-119,88,-34,-50,65,-26,-70,-2)\n8: Coll(1,1)\n9: Coll(59,-69,14,83,-124,-6,-7,-113,-83,-116,-12,-12,-47,106,-87,-1,78,47,-30,16,64,-66,87,107,40,-45,-64,94,40,91,-108,98)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,-61,-4,74,37,74,116,9,-105,24,113,-30,-100,25,48,-10,-54,100,99,125,-128,-111,-115,-102,46,-119,88,-34,-50,65,-26,-70,-2)\n13: 1644511669949",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = box1.value\n  val coll3 = INPUTS(placeholder[Int](1)).id\n  val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n  sigmaProp(\n    (\n      (OUTPUTS.size == placeholder[Int](4)) && (\n        (\n          (\n            (\n              (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n                box1.propositionBytes == placeholder[Coll[Byte]](7)\n              )\n            ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n          ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n        ) || (\n          (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n            box1.propositionBytes == placeholder[Coll[Byte]](12)\n          )\n        )\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](13))\n  )\n}",
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      "assets": [],
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      "spentTransactionId": "4000e919e1eac2b12f5dd19923dec9d3b0b363f2e50e06e6a49ee71216823be2",
      "mainChain": true
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      "creationHeight": 717391,
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      "ergoTree": "0008cd025732766a7341a3d2f750db43621b1a88e2f6b99e82fc86ac0fc83ad24bc5a61d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(573276,d83817,...)))}",
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      "assets": [
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      "mainChain": true
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    {
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      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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      "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)}",
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