Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
37.78 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
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:
37.75 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.43 KB
Received time: 1/6/2025 07:20:40 PM
Included in blocks: 1,433,657
Confirmations: 325,606
Total coins transferred: 37.78 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000441 ERG
Raw Transaction Data
{
  "id": "8f1b7b2d09dd292e84d85fc9c8e04f2309d075292c021e68fb5bd8355378982b",
  "blockId": "2cf6381dec113d8456485654e0663f04c48f7f61e2ff50982d123d32a27f55c2",
  "inclusionHeight": 1433657,
  "timestamp": 1736191240428,
  "index": 11,
  "globalIndex": 8391342,
  "numConfirmations": 325606,
  "inputs": [
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      "index": 0,
      "spendingProof": "87039aa639c07a3d1108a359e0ebc41528bc2c3bb2822a3fc67d4fc5821832662659679d9dd5d9b2e1c54154dd5db5ab1f2e2a87b02a748e",
      "outputBlockId": "d763bf4450c37d09bcdb75aff6b197fbf6c74532ac2f137f82cf0f709a86558b",
      "outputTransactionId": "608d5f235b2b276a8d800d9f76bd9e60ec0ee82a6d965537a44046e25f7585e0",
      "outputIndex": 3,
      "outputGlobalIndex": 45400682,
      "outputCreatedAt": 1433649,
      "outputSettledAt": 1433651,
      "ergoTree": "0008cd025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5b1574,267d10,...)))}",
      "address": "9fDB8QW4AgFJvRjfesjAKU5bLRjAohe5BGXgnwfHAAeccKyEECh",
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      ],
      "additionalRegisters": {}
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  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "dadc88bbc1fc0db8ffc366c1570f73337c005bc21926525a24964fd9204bf218",
      "transactionId": "8f1b7b2d09dd292e84d85fc9c8e04f2309d075292c021e68fb5bd8355378982b",
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      "index": 0,
      "globalIndex": 45400888,
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      "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}",
      "address": "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",
      "assets": [
        {
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          "index": 0,
          "amount": 1,
          "name": "ergo watcher #15 el matzito",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "08cd025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f",
          "sigmaType": "SSigmaProp",
          "renderedValue": "025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f"
        },
        "R6": {
          "serializedValue": "05f02e",
          "sigmaType": "SLong",
          "renderedValue": "3000"
        },
        "R8": {
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