Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
1,607.3 ERG
Tokens:
Loading assets...
Outputs (4)
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.03 ERG
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
1,607.26 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.5 KB
Received time: 12/10/2025 10:29:25 PM
Included in blocks: 1,674,883
Confirmations: 86,593
Total coins transferred: 1,607.3 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000431 ERG
Raw Transaction Data
{
  "id": "5b7b1077f14cd7de1968b2cec31d663fa04e52de8248659fbd8f8d0d4bf8bec7",
  "blockId": "71d51a5496954f2858f6c640173e124866d4bb5b645ec4b68e8386aa148d1606",
  "inclusionHeight": 1674883,
  "timestamp": 1765405765105,
  "index": 16,
  "globalIndex": 9944102,
  "numConfirmations": 86593,
  "inputs": [
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      "spendingProof": "5fedb77a4ca4f4a8c750f7a85d7b09733c702cc2e92faf3cc6b3b7679513b5323988a9196dcb17a71512d646f9bb1d371e06b80d578b6b05",
      "outputBlockId": "cda866af39c99d1634fcf86f94b1d553711f502cf98d8693674a29c7cfd27ba0",
      "outputTransactionId": "bc095fd2a33b50e4daf541c706232c531f776a54375ba14d8994cc73286b24d2",
      "outputIndex": 3,
      "outputGlobalIndex": 52163764,
      "outputCreatedAt": 1674880,
      "outputSettledAt": 1674881,
      "ergoTree": "0008cd02da8ba83a34676bb5d6d43db7ae00c68da02c23cf19177da74167fcc1dbd48066",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(da8ba8,93d958,...)))}",
      "address": "9gBJy4dzxTBBLJmgj1WDBh2c485MzNtCrsJUFx5yJug3f7ocYZr",
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      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "98842ad53a222159f126e4d5f47f9ea1533d8166cde2cb646e788245461933d2",
      "transactionId": "5b7b1077f14cd7de1968b2cec31d663fa04e52de8248659fbd8f8d0d4bf8bec7",
      "blockId": "71d51a5496954f2858f6c640173e124866d4bb5b645ec4b68e8386aa148d1606",
      "value": 1000000,
      "index": 0,
      "globalIndex": 52163814,
      "creationHeight": 1674881,
      "settlementHeight": 1674883,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2000\n1: 2000\n2: 100000\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n5: 1\n6: 1\n7: 0\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: false",
      "ergoTreeScript": "{\n  val b1 = getVar[Byte](0.toByte).get\n  val bi2 = SELF.R4[BigInt].get\n  val l3 = SELF.R6[Long].get\n  val l4 = if (l3 > placeholder[Long](0)) { l3 } else { placeholder[Long](1) }\n  val l5 = placeholder[Long](2)\n  val bi6 = bi2 * SELF.R9[Long].get + l4.toBigInt / l5.toBigInt\n  val prop7 = SELF.R5[SigmaProp].get\n  val coll8 = SELF.R7[Coll[Byte]].get\n  val bool9 = coll8.size == placeholder[Int](3)\n  val bi10 = bi2 * l4.toBigInt / l5.toBigInt\n  val prop11 = placeholder[SigmaProp](4)\n  val coll12 = SELF.propositionBytes\n  val bool13 = INPUTS.filter({(box13: Box) => box13.propositionBytes == coll12 }).size == placeholder[Int](5)\n  val bool14 = OUTPUTS.forall({(box14: Box) => box14.propositionBytes != coll12 })\n  if (b1 == placeholder[Byte](6)) {(\n    val box15 = OUTPUTS(placeholder[Int](7))\n    val box16 = OUTPUTS(placeholder[Int](8))\n    sigmaProp(allOf(Coll[Boolean](if (bool9) { allOf(Coll[Boolean](box15.value.toBigInt >= bi2 - bi6, box15.propositionBytes == prop7.propBytes)) } else {(\n            val tuple17 = box15.tokens(placeholder[Int](9))\n            allOf(Coll[Boolean](tuple17._1 == coll8, tuple17._2.toBigInt >= bi2 - bi6, box15.propositionBytes == prop7.propBytes))\n          )}, if (bool9) { allOf(Coll[Boolean](box16.value.toBigInt >= bi10, box16.propositionBytes == prop11.propBytes)) } else {(\n            val tuple17 = box16.tokens(placeholder[Int](10))\n            allOf(Coll[Boolean](box16.propositionBytes == prop11.propBytes, tuple17._1 == coll8, tuple17._2.toBigInt >= bi10))\n          )}, bool13, bool14)))\n  )} else { if (b1 == placeholder[Byte](11)) {(\n      val box15 = OUTPUTS(placeholder[Int](12))\n      sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box15.value == SELF.value, box15.propositionBytes == prop7.propBytes, box15.tokens == SELF.tokens)), bool13, bool14))) && prop7\n    )} else { sigmaProp(placeholder[Boolean](13)) } }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "03bad8f5fa20b8cf6c9c5f201f1ef772dc8f34191066180ccc47d062d1dae61b",
          "index": 0,
          "amount": 1,
          "name": "Hell's Harlequin",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
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