Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
451.16 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
100
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
451.15 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.93 KB
Received time: 8/19/2024 10:54:15 PM
Included in blocks: 1,333,733
Confirmations: 443,032
Total coins transferred: 451.17 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000366 ERG
Raw Transaction Data
{
  "id": "c284e1b0375d23abc16b68ab1596a9959f5d7bb2288069583ccae51312c86276",
  "blockId": "f21d9128c64124259093f25f8c73e693333ec6fb7ed116239c06d6275da02222",
  "inclusionHeight": 1333733,
  "timestamp": 1724108055156,
  "index": 9,
  "globalIndex": 7674536,
  "numConfirmations": 443032,
  "inputs": [
    {
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      "value": 1000000,
      "index": 0,
      "spendingProof": "155a2c0d8b7c1e0c51710e4780a2b5197ff27c29d9811ccf38445f54451c862146b40f240381ade0615a33e03e87b7df2c1c7adc0fa9401f",
      "outputBlockId": "ccaf69503540f86e5acfe4ca757b9232e0eb75756d1c7c2bb4b2828acb2a6b5a",
      "outputTransactionId": "86cc83339d898181c630325b79a39d31f419908e04c76c697404dfa975ea0648",
      "outputIndex": 0,
      "outputGlobalIndex": 42003672,
      "outputCreatedAt": 1324794,
      "outputSettledAt": 1324796,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2000\n1: 100000\n2: 0\n3: 1\n4: 0\n5: 1\n6: 0\n7: 0\n8: 2\n9: 0\n10: 1\n11: 0\n12: false",
      "ergoTreeScript": "{\n  val b1 = getVar[Byte](0.toByte).get\n  val bi2 = SELF.R4[BigInt].get\n  val bi3 = bi2 * placeholder[Long](0).toBigInt / placeholder[Long](1).toBigInt\n  val prop4 = SELF.R5[SigmaProp].get\n  val coll5 = SELF.R7[Coll[Byte]].get\n  val bool6 = coll5.size == placeholder[Int](2)\n  val prop7 = SELF.R6[SigmaProp].get\n  if (b1 == placeholder[Byte](3)) {(\n    val box8 = OUTPUTS(placeholder[Int](4))\n    val box9 = OUTPUTS(placeholder[Int](5))\n    sigmaProp(allOf(Coll[Boolean](if (bool6) { allOf(Coll[Boolean](box8.value.toBigInt == bi2 - bi3, box8.propositionBytes == prop4.propBytes)) } else {(\n            val tuple10 = box8.tokens(placeholder[Int](6))\n            allOf(Coll[Boolean](tuple10._1 == coll5, tuple10._2.toBigInt >= bi2 - bi3, box8.propositionBytes == prop4.propBytes))\n          )}, if (bool6) { allOf(Coll[Boolean](box9.value.toBigInt >= bi3, box9.propositionBytes == prop7.propBytes)) } else {(\n            val tuple10 = box9.tokens(placeholder[Int](7))\n            allOf(Coll[Boolean](box9.propositionBytes == prop7.propBytes, tuple10._1 == coll5, tuple10._2.toBigInt >= bi3))\n          )}, OUTPUTS.forall({(box10: Box) => box10.propositionBytes != SELF.propositionBytes }))))\n  )} else { if (b1 == placeholder[Byte](8)) {(\n      val box8 = OUTPUTS(placeholder[Int](9))\n      val box9 = OUTPUTS(placeholder[Int](10))\n      sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == prop4.propBytes, box8.tokens == SELF.tokens)), if (bool6) { allOf(Coll[Boolean](box9.value.toBigInt >= bi3, box9.propositionBytes == prop7.propBytes)) } else {(\n              val tuple10 = box9.tokens(placeholder[Int](11))\n              allOf(Coll[Boolean](box9.propositionBytes == prop7.propBytes, tuple10._1 == coll5, tuple10._2.toBigInt >= bi3))\n            )}))) && prop4\n    )} else { sigmaProp(placeholder[Boolean](12)) } }\n}",
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      "assets": [
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          "name": "Disco Fever",
          "decimals": 0,
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        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "08cd031216bd6bd24751a9cfbfd761d3dee4ffba170c22b36d82f9aef590e8670467eb",
          "sigmaType": "SSigmaProp",
          "renderedValue": "031216bd6bd24751a9cfbfd761d3dee4ffba170c22b36d82f9aef590e8670467eb"
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          "sigmaType": "SSigmaProp",
          "renderedValue": "02593abf7a55bd30ecb0d9cc89284f577db9c673bd6dba3642d5ec2eba1b131a02"
        },
        "R8": {
          "serializedValue": "0e1d43595058204d61726b6574706c6163652c43594245525245434f524453",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43595058204d61726b6574706c6163652c43594245525245434f524453"
        },
        "R7": {
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          "renderedValue": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f"
        },
        "R4": {
          "serializedValue": "060402faf080",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(50000000)"
        }
      }
    },
    {
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      "outputGlobalIndex": 42221341,
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      "ergoTree": "0008cd031216bd6bd24751a9cfbfd761d3dee4ffba170c22b36d82f9aef590e8670467eb",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1216bd,26a360,...)))}",
      "address": "9gbmkEh8jfe8hZ46AHF9Mvi18Sh9aaebxX3mq5yc7QCA5JLbqF1",
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