Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Outputs (4)
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
0.9889 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2 KB
Received time: 8/3/2024 11:23:28 PM
Included in blocks: 1,322,402
Confirmations: 451,937
Total coins transferred: 1 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000537 ERG
Raw Transaction Data
{
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  "blockId": "0a729d2d253382bcedde36e1553315f17ef838afcfd2f40f9421c8ddd0eb59ed",
  "inclusionHeight": 1322402,
  "timestamp": 1722727408740,
  "index": 26,
  "globalIndex": 7594638,
  "numConfirmations": 451937,
  "inputs": [
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      "outputBlockId": "f4166f6cfb7f9a68deb24a134c2593abd05a5b3d6b96038972e7a69e7d3e4d14",
      "outputTransactionId": "09059896ecdd797a10ddd37342413e8e8dc2c46b60af7731c499a8f9657f40d1",
      "outputIndex": 2,
      "outputGlobalIndex": 41919839,
      "outputCreatedAt": 1322397,
      "outputSettledAt": 1322399,
      "ergoTree": "0008cd02c0ad9d4d91ce15485b06c3a50c45ddc32f0cace9b3dea84f3fb90f102edeb3a0",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c0ad9d,15ccc5,...)))}",
      "address": "9fyvDkFYQmQ6HwUyksqkeqTCitPaZXpQtan7yhi6LDkZNnRWkA4",
      "assets": [
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      ],
      "additionalRegisters": {}
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  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "66f496ff6fc526be88ce96eee7f2808c7e8c541a41c3a47277c5bc6247d24986",
      "transactionId": "5e1e13c0e969373b4e4f0c991421d4d1678b3bf7092a12329221ceaa8b493d41",
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      "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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        {
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      ],
      "additionalRegisters": {
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          "sigmaType": "Coll[SByte]",
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