Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.00164 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
5.74 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0028 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
5.73 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.04 KB
Received time: 8/16/2023 07:37:00 PM
Included in blocks: 1,070,557
Confirmations: 689,834
Total coins transferred: 5.74 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000959 ERG
Raw Transaction Data
{
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  "blockId": "8b9f14f6d5dc00a284dcf8aa5cb52d779f8dcbabe8fdefb7329970e095d2366e",
  "inclusionHeight": 1070557,
  "timestamp": 1692214620749,
  "index": 9,
  "globalIndex": 5684855,
  "numConfirmations": 689834,
  "inputs": [
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      "outputBlockId": "8b9f14f6d5dc00a284dcf8aa5cb52d779f8dcbabe8fdefb7329970e095d2366e",
      "outputTransactionId": "5d4e5740a49896931e6440b51c86fa7cbffbbbc2e229f1ef5cfba19ed294f890",
      "outputIndex": 1,
      "outputGlobalIndex": 31855306,
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      "ergoTree": "0008cd032b5c6dbae045d162928e6cca3cd06de3cd7c46b5b3346d2115fd326052e4a87e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2b5c6d,7934cd,...)))}",
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      "ergoTree": "0008cd0336b6d413f37734da4593890fa22e67f0661d83112ba6338aa424948e285a9d73",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(36b6d4,f9b58d,...)))}",
      "address": "9gsuHs5gWmHCum1fE1KtdcBQAAgAC8sFMq71ppsobCnpR79V7ew",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "fc1208308c86c24b0c91162827aeb45a72ff943ea70902244020036c1cd824d5",
      "transactionId": "6fa91ff51723d8cff7f5dbde4396a9e61ba69e176884f519758d8e52d26adb7a",
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      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(2b5c6d,7934cd,...)))\n1: 2\n2: 0\n3: 5\n4: 1\n5: 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)\n6: 0\n7: 0\n8: 2000000\n9: Coll(0,8,-51,3,43,92,109,-70,-32,69,-47,98,-110,-114,108,-54,60,-48,109,-29,-51,124,70,-75,-77,52,109,33,21,-3,50,96,82,-28,-88,126)\n10: Coll(-6,99,38,-94,99,52,-11,-23,51,-71,100,112,-75,59,69,8,51,116,-9,25,18,-80,-41,89,127,0,-62,-57,-21,-21,93,-90)\n11: 7351582\n12: 0\n13: false",
      "ergoTreeScript": "{placeholder[SigmaProp](0) || sigmaProp(if ((INPUTS.size >= placeholder[Int](1)) && (INPUTS(placeholder[Int](2)).tokens.size == placeholder[Int](3))) {(\n    val box1 = OUTPUTS(placeholder[Int](4))\n    val bool2 = OUTPUTS.map({(box2: Box) => if (box2.propositionBytes == placeholder[Coll[Byte]](5)) { box2.value } else { placeholder[Long](6) } }).fold(placeholder[Long](7), {(tuple2: (Long, Long)) => tuple2._1 + tuple2._2 }) <= placeholder[Long](8)\n    (((box1.propositionBytes == placeholder[Coll[Byte]](9)) && ((placeholder[Coll[Byte]](10), placeholder[Long](11)) == box1.tokens(placeholder[Int](12)))) && bool2) && bool2\n  )} else { placeholder[Boolean](13) })}",
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      "assets": [
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      "mainChain": true
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    {
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      "ergoTree": "0008cd032b5c6dbae045d162928e6cca3cd06de3cd7c46b5b3346d2115fd326052e4a87e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2b5c6d,7934cd,...)))}",
      "address": "9gnuHr1BUfRZJrR6kvgqJLDRRSoxUN58mHthKKTiYixYoMCDG4C",
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