Ad
Inputs (6)
Output transaction:
Settlement height:
Value:
0.0017 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1.3 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
8.02 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
2.01 ERG
Spent in transaction:
Settlement height:
Value:
0.103448275 ERG
Spent in transaction:
Settlement height:
Value:
7.21 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.48 KB
Received time: 4/26/2024 01:10:35 AM
Included in blocks: 1,251,068
Confirmations: 523,274
Total coins transferred: 9.33 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000786 ERG
Raw Transaction Data
{
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  "inclusionHeight": 1251068,
  "timestamp": 1714093835790,
  "index": 4,
  "globalIndex": 7084883,
  "numConfirmations": 523274,
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  "dataInputs": [],
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      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(42cc3e,cc44dc,...)))\n1: 0\n2: 2000000000\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(-14,126,28,74,-63,83,89,75,63,57,122,-70,-66,59,16,-92,75,96,-64,73,92,-61,-108,-127,97,-40,66,120,40,126,-29,-75)\n9: Coll(-67,12,37,-61,115,-83,96,109,120,65,42,-31,25,-127,51,-12,87,59,78,76,45,78,-45,-4,76,42,69,71,-58,-58,-31,46)\n10: 8835431617\n11: 679083972361415\n12: 1000000000000000000\n13: 2\n14: 997\n15: CBigInt(1)\n16: 1000\n17: 2000000000\n18: 997\n19: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n20: 0\n21: 0\n22: 2000000\n23: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  val l3 = placeholder[Long](2)\n  prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n      val coll4 = box2.tokens\n      val box5 = OUTPUTS(placeholder[Int](5))\n      val tuple6 = box5.tokens(placeholder[Int](6))\n      val bi7 = tuple6._2.toBigInt\n      ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n    )} else { placeholder[Boolean](23) })\n}",
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      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e0643726f6f6b73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43726f6f6b73"
        }
      },
      "spentTransactionId": "8b9f7f5319cd44cedf67dd5085f81c35daab441f3cef9177c1a74aba0ee04204",
      "mainChain": true
    },
    {
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      "index": 1,
      "globalIndex": 39537116,
      "creationHeight": 1251066,
      "settlementHeight": 1251068,
      "ergoTree": "0008cd032ed87e5805f359835bc84d692c75457870132b30afc29c86dfc3a4c785247877",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2ed87e,10948f,...)))}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "71a4969f4bca1bec54d2423209e9bc4d1fcc7376e1c5ca2dac5ff0cf14637020",
      "mainChain": true
    },
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42cc3e,cc44dc,...)))}",
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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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      "mainChain": true
    }
  ],
  "size": 2543,
  "isUnconfirmed": false
}