Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
4.12 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (2)
Spent in transaction:
Settlement height:
Value:
4.12 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.73 KB
Received time: 8/8/2025 07:55:34 AM
Included in blocks: 1,585,978
Confirmations: 178,637
Total coins transferred: 4.12 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000564 ERG
Raw Transaction Data
{
  "id": "01a4e42d115f969832a3bafb2303dcdedbf764cfcaa6927691f7b07c82679a6d",
  "blockId": "b0c69423a62cdc7c760b7654df99fa708176843d5622e174203aca4b09e22cfa",
  "inclusionHeight": 1585978,
  "timestamp": 1754639734497,
  "index": 3,
  "globalIndex": 9321242,
  "numConfirmations": 178637,
  "inputs": [
    {
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      "value": 4119851500,
      "index": 0,
      "spendingProof": "3379711dda77b72581b0ad611d265c57db8f804964366a6fe727ef6f0d49dbe14de2971525a2ed3b787bbf3ac9fff6fbc8a6b7d7838a64c3",
      "outputBlockId": "1f37646a612e7149e4a1be6bf0d4a4cd13c7798268bcd6179a5bd319ca2635f7",
      "outputTransactionId": "2b9bb84a5bbe20b38e118c7f5613f471d1961b884110fad4a2b371bca5400093",
      "outputIndex": 0,
      "outputGlobalIndex": 49336029,
      "outputCreatedAt": 1585973,
      "outputSettledAt": 1585975,
      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
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          "name": "Hash Sneakers #03",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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      "ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n  val box1 = SELF.R6[Box].get\n  val opt2 = box1.R4[Int]\n  val l3 = SELF.R4[Long].get\n  val l4 = l3 / placeholder[Long](3)\n  sigmaProp(if (opt2.isDefined) {(\n      val box5 = OUTPUTS(placeholder[Int](4))\n      val i6 = opt2.get\n      val l7 = l3 * i6.toLong / placeholder[Long](5)\n      val box8 = OUTPUTS(placeholder[Int](6))\n      allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n            val box9 = OUTPUTS(placeholder[Int](11))\n            (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n          )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n    )} else {(\n      val box5 = OUTPUTS(placeholder[Int](14))\n      val box6 = OUTPUTS(placeholder[Int](15))\n      allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n    )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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  ],
  "dataInputs": [],
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