Ad
Inputs (17)
Output transaction:
Settlement height:
Value:
0.106002664 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.397080446 ERG
Output transaction:
Settlement height:
Value:
0.53148245 ERG
Output transaction:
Settlement height:
Value:
0.580325632 ERG
Output transaction:
Settlement height:
Value:
0.514973465 ERG
Output transaction:
Settlement height:
Value:
0.621777698 ERG
Output transaction:
Settlement height:
Value:
0.676551216 ERG
Output transaction:
Settlement height:
Value:
0.80653646 ERG
Output transaction:
Settlement height:
Value:
0.579163782 ERG
Output transaction:
Settlement height:
Value:
0.76285523 ERG
Output transaction:
Settlement height:
Value:
0.52955599 ERG
Output transaction:
Settlement height:
Value:
0.508349522 ERG
Output transaction:
Settlement height:
Value:
0.844195063 ERG
Output transaction:
Settlement height:
Value:
0.633878685 ERG
Output transaction:
Settlement height:
Value:
93.5 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
29.95 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
71.65 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.71 KB
Received time: 8/25/2022 07:54:45 PM
Included in blocks: 824,012
Confirmations: 947,843
Total coins transferred: 101.61 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000036 ERG
Raw Transaction Data
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  "numConfirmations": 947843,
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      "address": "9fkHZPxVEfvZAu9dRYXRZ31b8JfpSghUaUeXYge89Ur4bEETKHY",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a1b990,1fbb55,...)))}",
      "address": "9fkHZPxVEfvZAu9dRYXRZ31b8JfpSghUaUeXYge89Ur4bEETKHY",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a1b990,1fbb55,...)))}",
      "address": "9fkHZPxVEfvZAu9dRYXRZ31b8JfpSghUaUeXYge89Ur4bEETKHY",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a1b990,1fbb55,...)))}",
      "address": "9fkHZPxVEfvZAu9dRYXRZ31b8JfpSghUaUeXYge89Ur4bEETKHY",
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          "type": "EIP-004"
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      ],
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    {
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      "transactionId": "ae6ed801676c630a465ea875d42e31d2bdac4964ea38c7f97c217e3651e62a8e",
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      "ergoTreeScript": "{if (OUTPUTS.size == placeholder[Int](0)) {(\n  val box1 = OUTPUTS(placeholder[Int](1))\n  val box2 = OUTPUTS(placeholder[Int](2))\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == SELF.R6[Coll[Byte]].get, (box1.value == placeholder[Long](5)) && (\n          box1.tokens.size == placeholder[Int](6)\n        ), (box2.value == placeholder[Long](7)) && (box2.tokens.size == placeholder[Int](8))\n      )\n    )\n  )\n)} else {(\n  val box1 = CONTEXT.dataInputs(placeholder[Int](9))\n  val coll2 = box1.tokens\n  val coll3 = coll2(placeholder[Int](10))._1\n  val box4 = OUTPUTS(placeholder[Int](11))\n  val bool5 = (box4.value == placeholder[Long](12)) && (box4.tokens.size == placeholder[Int](13))\n  val box6 = OUTPUTS(placeholder[Int](14))\n  val bool7 = (box6.value == placeholder[Long](15)) && (box6.tokens.size == placeholder[Int](16))\n  val box8 = OUTPUTS(placeholder[Int](17))\n  val bool9 = ((box8.value == SELF.value - placeholder[Long](18)) && (box8.tokens == SELF.tokens)) && (box8.propositionBytes == SELF.R5[Coll[Byte]].get)\n  if (coll3 == placeholder[Coll[Byte]](19)) { sigmaProp(allOf(Coll[Boolean](box1.R4[Long].get > SELF.R4[Long].get, bool5, bool7, bool9))) } else {\n    if (coll3 == SELF.R6[Coll[Byte]].get) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            if (coll2.size == placeholder[Int](20)) { placeholder[Boolean](21) } else {\n              coll2(placeholder[Int](22))._2 < SELF.tokens(placeholder[Int](23))._2\n            }, bool5, bool7, bool9\n          )\n        )\n      )\n    } else { sigmaProp(placeholder[Boolean](24)) }\n  }\n)}}",
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      "assets": [
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          "index": 0,
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          "name": "Seed Round whitelist token",
          "decimals": 4,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058ae1b69d02",
          "sigmaType": "SLong",
          "renderedValue": "299292741"
        },
        "R5": {
          "serializedValue": "0e240008cd02a1b99009903b8103a7216a0d8add9c5ec8efdd6836466346b82388dffc419414",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02a1b99009903b8103a7216a0d8add9c5ec8efdd6836466346b82388dffc419414"
        },
        "R6": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "d9d0b54edceb1a1cbae2c89643c315bb266e93691293505c6c5b146fa78dc614"
        }
      },
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      "mainChain": true
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    {
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      "value": 1000000,
      "index": 1,
      "globalIndex": 20665360,
      "creationHeight": 824009,
      "settlementHeight": 824012,
      "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)}",
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      "mainChain": true
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}