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Inputs (1)
Output transaction:
Settlement height:
Value:
330.13 ERG
Tokens:
Loading assets...
Outputs (3)
Settlement height:
Value:
100 ERG
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
230.13 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.04 KB
Received time: 7/24/2025 04:33:59 PM
Included in blocks: 1,575,561
Confirmations: 191,729
Total coins transferred: 330.13 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000353 ERG
Raw Transaction Data
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  "inclusionHeight": 1575561,
  "timestamp": 1753374839552,
  "index": 8,
  "globalIndex": 9257583,
  "numConfirmations": 191729,
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000\n1: 3000\n2: 100000\n3: 0\n4: 10\n5: 0\n6: 0\n7: 0\n8: 34\n9: 10\n10: 9223372036854775807\n11: 3000\n12: 100000\n13: 0\n14: 0\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n26: true\n27: 0\n28: true\n29: true\n30: true\n31: 0\n32: true",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val l2 = SELF.value\n  val l3 = if (l2 > placeholder[Long](0)) {(\n    val l3 = l2 * placeholder[Long](1) / placeholder[Long](2)\n    if ((l3 > placeholder[Long](3)) && (l3 <= l2 / placeholder[Long](4))) { l3 } else { placeholder[Long](5) }\n  )} else { placeholder[Long](6) }\n  val bool4 = l3 > placeholder[Long](7)\n  val coll5 = SELF.tokens\n  val coll6 = coll5.map({(tuple6: (Coll[Byte], Long)) =>\n      val l8 = tuple6._2\n      (tuple6._1, if (l8 > placeholder[Long](8)) {(\n          val l9 = l8 / placeholder[Long](9)\n          if (l8 <= placeholder[Long](10)) {(\n            val l10 = l8 * placeholder[Long](11) / placeholder[Long](12)\n            if ((l10 > placeholder[Long](13)) && (l10 <= l9)) { l10 } else { placeholder[Long](14) }\n          )} else {(\n            val l10 = l8 / placeholder[Long](15)\n            if ((l10 > placeholder[Long](16)) && (l10 <= l9)) { l10 } else { l9 }\n          )}\n        )} else { placeholder[Long](17) })\n    }).filter({(tuple6: (Coll[Byte], Long)) => tuple6._2 > placeholder[Long](18) })\n  val prop7 = proveDlog(SELF.R4[GroupElement].get)\n  val coll8 = coll5.map({(tuple8: (Coll[Byte], Long)) =>\n      val coll10 = tuple8._1\n      val coll11 = coll6.filter({(tuple11: (Coll[Byte], Long)) => tuple11._1 == coll10 })\n      (coll10, tuple8._2 - if (coll11.size > placeholder[Int](19)) { coll11(placeholder[Int](20))._2 } else { placeholder[Long](21) })\n    }).filter({(tuple8: (Coll[Byte], Long)) => tuple8._2 > placeholder[Long](22) })\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        HEIGHT >= SELF.R5[Int].get, INPUTS.filter({(box9: Box) => box9.propositionBytes == coll1 }).size == placeholder[Int](23), OUTPUTS.forall(\n          {(box9: Box) => box9.propositionBytes != coll1 }\n        ), (\n          if (bool4 || (coll6.size > placeholder[Int](24))) {\n            OUTPUTS.exists(\n              {(box9: Box) =>\n                (\n                  (box9.propositionBytes == placeholder[SigmaProp](25).propBytes) && if (bool4) { box9.value >= l3 } else { placeholder[Boolean](26) }\n                ) && if (coll6.size > placeholder[Int](27)) {\n                  coll6.forall(\n                    {(tuple11: (Coll[Byte], Long)) =>\n                      box9.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == tuple11._1) && (tuple13._2 >= tuple11._2) })\n                    }\n                  )\n                } else { placeholder[Boolean](28) }\n              }\n            )\n          } else { placeholder[Boolean](29) } && (\n            if (bool4) { l2 >= l3 } else { placeholder[Boolean](30) } && coll6.forall(\n              {(tuple9: (Coll[Byte], Long)) => coll5.exists({(tuple11: (Coll[Byte], Long)) => (tuple11._1 == tuple9._1) && (tuple11._2 >= tuple9._2) }) }\n            )\n          )\n        ) && OUTPUTS.exists(\n          {(box9: Box) =>\n            ((box9.propositionBytes == prop7.propBytes) && (box9.value >= l2 - l3)) && if (coll8.size > placeholder[Int](31)) {\n              coll8.forall(\n                {(tuple11: (Coll[Byte], Long)) =>\n                  box9.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == tuple11._1) && (tuple13._2 >= tuple11._2) })\n                }\n              )\n            } else { placeholder[Boolean](32) }\n          }\n        )\n      )\n    )\n  ) && prop7\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0702940405978e92a1df540be05dce7fd5b513b1892d741d6ba51bdf48cced0cbb44",
          "sigmaType": "SGroupElement",
          "renderedValue": "02940405978e92a1df540be05dce7fd5b513b1892d741d6ba51bdf48cced0cbb44"
        },
        "R5": {
          "serializedValue": "0490cc8204",
          "sigmaType": "SInt",
          "renderedValue": "4215560"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "f18f49716a178e842f82b2490decf4b503c282d06a25e73acf08bd8f1d0ccf86",
      "transactionId": "bd7a48e655e38b9a4d3dbfe3de42c2ef6ee27c9b567517b154f74b18b8df464b",
      "blockId": "34e0df0e633b590de9c51261b7da0ccb308d13f1ffc1c1af95943765850251cc",
      "value": 1100000,
      "index": 1,
      "globalIndex": 49081232,
      "creationHeight": 1575560,
      "settlementHeight": 1575561,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "7ea5b0eae6121f52d954c50884d87c1e4eb6423c80e969fdaaf8c20be6b494af",
      "mainChain": true
    },
    {
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      "transactionId": "bd7a48e655e38b9a4d3dbfe3de42c2ef6ee27c9b567517b154f74b18b8df464b",
      "blockId": "34e0df0e633b590de9c51261b7da0ccb308d13f1ffc1c1af95943765850251cc",
      "value": 230126322648,
      "index": 2,
      "globalIndex": 49081233,
      "creationHeight": 1575560,
      "settlementHeight": 1575561,
      "ergoTree": "0008cd02940405978e92a1df540be05dce7fd5b513b1892d741d6ba51bdf48cced0cbb44",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(940405,69591b,...)))}",
      "address": "9feFNrnzRaezjk82bhjaYVQn9zoxC9QHB5MFaZrS9q3Nfgf2jDH",
      "assets": [
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