Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
601.12 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.00108012 ERG
Tokens:
4,000
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,840
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
60
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
100
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
601.11 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.5 KB
Received time: 12/21/2025 12:35:35 AM
Included in blocks: 1,682,095
Confirmations: 82,959
Total coins transferred: 601.12 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000429 ERG
Raw Transaction Data
{
  "id": "63512eb5eef82fff4bcb2546be0f73c9dfe774d92cd2a70bacd424ebdef59bc9",
  "blockId": "02d17e1a2ad97d5b4420cd3fe6ad060ae392c160156cd9a4710521a99f04b0b9",
  "inclusionHeight": 1682095,
  "timestamp": 1766277335137,
  "index": 25,
  "globalIndex": 10002096,
  "numConfirmations": 82959,
  "inputs": [
    {
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      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "9e12364c63270fd8d6ff257c1661277153dc183f544e218ba5c537ceab24f3b1",
      "outputTransactionId": "77b99a5956fa63e936c707cc172ec7225d4561e6270fbb14c2d35636d9d8782e",
      "outputIndex": 0,
      "outputGlobalIndex": 50657178,
      "outputCreatedAt": 1627526,
      "outputSettledAt": 1627529,
      "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}",
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      "assets": [
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          "index": 0,
          "amount": 1,
          "name": "Cybercitizen #7367",
          "decimals": 0,
          "type": "EIP-004"
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      "additionalRegisters": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "020cb9ee4c6bf8f9c26ecf91418c7cc2c2c8179e938a5d02b90d94e550108e4b42"
        },
        "R6": {
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          "sigmaType": "SLong",
          "renderedValue": "3000"
        },
        "R8": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "4d65774d6172742c437962657276657273652c53656c6c"
        },
        "R7": {
          "serializedValue": "0e206c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c"
        },
        "R9": {
          "serializedValue": "05904e",
          "sigmaType": "SLong",
          "renderedValue": "5000"
        },
        "R4": {
          "serializedValue": "0603030d40",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(200000)"
        }
      }
    },
    {
      "boxId": "357b8f8530bb4cc8d2363c744349475679f0501f1f0018006ae1fbb905ea5496",
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      "outputBlockId": "02d17e1a2ad97d5b4420cd3fe6ad060ae392c160156cd9a4710521a99f04b0b9",
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      "outputIndex": 2,
      "outputGlobalIndex": 52402014,
      "outputCreatedAt": 1682094,
      "outputSettledAt": 1682095,
      "ergoTree": "0008cd0215e622dc09280ddc421c43cd7c720be487830abfe6955b60eeaee182ff9a5207",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(15e622,c37d64,...)))}",
      "address": "9eghtrPJ6LGtLuBj6oDhphh7armDe2eP9Fqms9LSvTjNHJpNzMF",
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