Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
6.86 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
410.73 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
400.01 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
17.59 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.88 KB
Received time: 5/5/2024 07:21:13 AM
Included in blocks: 1,257,666
Confirmations: 506,371
Total coins transferred: 417.59 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000679 ERG
Raw Transaction Data
{
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  "inclusionHeight": 1257666,
  "timestamp": 1714893673628,
  "index": 2,
  "globalIndex": 7146927,
  "numConfirmations": 506371,
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  "outputs": [
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      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(f74bc5,28a19f,...)))\n1: 0\n2: 400000000000\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(104,-19,45,59,51,98,68,9,-125,13,-121,124,110,109,67,22,21,-122,46,-85,-36,-42,96,-35,-13,14,-18,25,114,-15,-8,88)\n13: 2\n14: 1\n15: 6000000\n16: 400000000000\n17: 6000000\n18: false\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 = coll4(placeholder[Int](6))\n      val bi7 = placeholder[Long](7) - tuple6._2.toBigInt\n      val bi8 = box2.value.toBigInt\n      val bi9 = l3.toBigInt * bi7 / bi8\n      val tuple10 = coll4(placeholder[Int](8))\n      val bi11 = tuple10._2.toBigInt\n      val bi12 = SELF.tokens(placeholder[Int](9))._2.toBigInt * bi7 / bi11\n      val coll13 = box5.tokens\n      val tuple14 = coll13(placeholder[Int](10))\n      (((((coll4(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box5.propositionBytes == prop1.propBytes)) && if ((bi9 < bi12) && (coll13.size == placeholder[Int](13))) {(\n              val tuple15 = coll13(placeholder[Int](14))\n              ((box5.value >= SELF.value - placeholder[Long](15) - placeholder[Long](16)) && (tuple15._1 == tuple10._1)) && (tuple15._2.toBigInt >= bi12 - bi9 * bi11 / bi7)\n            )} else { if (bi9 >= bi12) { box5.value.toBigInt >= SELF.value - placeholder[Long](17).toBigInt - l3.toBigInt - bi9 - bi12 * bi8 / bi7 } else { placeholder[Boolean](18) } }) && (tuple14._1 == tuple6._1)) && (tuple14._2.toBigInt >= min(bi9, bi12))) && (OUTPUTS.map({(box15: Box) => if (box15.propositionBytes == placeholder[Coll[Byte]](19)) { box15.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= placeholder[Long](22))\n    )} else { placeholder[Boolean](23) })\n}",
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      "assets": [
        {
          "tokenId": "d1d2ae2ac0456aa43550dd4fda45e4f866d523be9170d3a3e4cab43a83926334",
          "index": 0,
          "amount": 323359,
          "name": "GreasyCex",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e0643726f6f6b73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43726f6f6b73"
        }
      },
      "spentTransactionId": "dc5db3975a36fda1c1393c05caa37c5ab22f9b414af6999a63b22ee3165630c2",
      "mainChain": true
    },
    {
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      "transactionId": "6691e7a751d4ba8bf1eb345677c93cc76f54a9ae4e8209b204cedf7cda579c22",
      "blockId": "dd9e7e52e8a629f073fe06f6a579d321f26148f400e4bf531ca96d1a60afdc62",
      "value": 17585403366,
      "index": 1,
      "globalIndex": 39827436,
      "creationHeight": 1257664,
      "settlementHeight": 1257666,
      "ergoTree": "0008cd02f74bc57ede4301be1744ae84a0efb8d23e6b254c88d20a0f05dfd451dbc43cda",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f74bc5,28a19f,...)))}",
      "address": "9gPyMmtEMSQaD2TqBA43tHfEGnBKXBn21Vp194UkNtS2tLTYbNK",
      "assets": [
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          "decimals": 0,
          "type": "EIP-004"
        },
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