Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
72.67 ERG
Tokens:
Loading assets...
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
436.50
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
13.50
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
72.67 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0001512 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 4.2 KB
Received time: 11/28/2025 10:06:19 AM
Included in blocks: 1,665,921
Confirmations: 104,762
Total coins transferred: 72.67 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000256 ERG
Raw Transaction Data
{
  "id": "eb59e6ee4a9dcfa51ed53744db48a7dc73f384ba002127539548e4322f0f24d1",
  "blockId": "f7660a2b34291481b531593596b5c41ecbd2feeb627e8a9827b287f7a4c696b4",
  "inclusionHeight": 1665921,
  "timestamp": 1764324379148,
  "index": 5,
  "globalIndex": 9877462,
  "numConfirmations": 104762,
  "inputs": [
    {
      "boxId": "4f2cef9fa1c24defe61fb2ed0f3979c8ef4441c8a06ffb79e7fcdbbf2df528c3",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "a98dafe9fa364f4470257e68d851d39da5e8f531e5f324a1920e95594a57e1c5",
      "outputTransactionId": "304ac3e9cc913d6b980447c3f83f07a1f605a22f47cf54287bee08daf92d1d31",
      "outputIndex": 0,
      "outputGlobalIndex": 45433567,
      "outputCreatedAt": 1434317,
      "outputSettledAt": 1434319,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2000\n1: 2000\n2: 100000\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n5: 1\n6: 0\n7: 1\n8: 0\n9: 0\n10: 2\n11: 0\n12: 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  if (b1 == placeholder[Byte](5)) {(\n    val box12 = OUTPUTS(placeholder[Int](6))\n    val box13 = OUTPUTS(placeholder[Int](7))\n    sigmaProp(allOf(Coll[Boolean](if (bool9) { allOf(Coll[Boolean](box12.value.toBigInt == bi2 - bi6, box12.propositionBytes == prop7.propBytes)) } else {(\n            val tuple14 = box12.tokens(placeholder[Int](8))\n            allOf(Coll[Boolean](tuple14._1 == coll8, tuple14._2.toBigInt >= bi2 - bi6, box12.propositionBytes == prop7.propBytes))\n          )}, if (bool9) { allOf(Coll[Boolean](box13.value.toBigInt >= bi10, box13.propositionBytes == prop11.propBytes)) } else {(\n            val tuple14 = box13.tokens(placeholder[Int](9))\n            allOf(Coll[Boolean](box13.propositionBytes == prop11.propBytes, tuple14._1 == coll8, tuple14._2.toBigInt >= bi10))\n          )}, OUTPUTS.forall({(box14: Box) => box14.propositionBytes != SELF.propositionBytes }))))\n  )} else { if (b1 == placeholder[Byte](10)) {(\n      val box12 = OUTPUTS(placeholder[Int](11))\n      sigmaProp(allOf(Coll[Boolean](box12.value == SELF.value, box12.propositionBytes == prop7.propBytes, box12.tokens == SELF.tokens))) && prop7\n    )} else { sigmaProp(placeholder[Boolean](12)) } }\n}",
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      "assets": [
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          "type": "EIP-004"
        },
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        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "08cd02d2e78225f6284d0f12d4f53c52e7712b68251375785775b0069e2bd30e01f167",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02d2e78225f6284d0f12d4f53c52e7712b68251375785775b0069e2bd30e01f167"
        },
        "R6": {
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          "renderedValue": "3000"
        },
        "R8": {
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          "sigmaType": "Coll[SByte]",
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        },
        "R9": {
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          "sigmaType": "SLong",
          "renderedValue": "0"
        },
        "R4": {
          "serializedValue": "060300afc8",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(45000)"
        }
      }
    },
    {
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      "outputGlobalIndex": 51894486,
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      "ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
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