Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.130990843 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.00726 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.121730843 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.57 KB
Received time: 5/9/2025 08:09:43 PM
Included in blocks: 1,521,417
Confirmations: 238,673
Total coins transferred: 0.130990843 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000076 ERG
Raw Transaction Data
{
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  "blockId": "60ff9c40b3cc6ededf1e977a7f3ac69b8ee4909218ecd2c5793fc33071ab2a5a",
  "inclusionHeight": 1521417,
  "timestamp": 1746821383812,
  "index": 4,
  "globalIndex": 8943478,
  "numConfirmations": 238673,
  "inputs": [
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      "spendingProof": "45f892d8c4e2afa7d60391991e6da0e73d99c92b88873e213c76edfb7a542e30376a12fc4c3c7df8293d302515dfcbc6da962adb042b3659",
      "outputBlockId": "b2dc2174ac582cb9ffa91f9c2d3ff2413db36b34ea7bc0c11cffd90fa7dfeadb",
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      "outputIndex": 1,
      "outputGlobalIndex": 47783920,
      "outputCreatedAt": 1521289,
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      "ergoTree": "0008cd03162115b21326f08f0ad8c56fe174a7b160810ca4e33f18774b76419476d350e3",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(162115,d88eb1,...)))}",
      "address": "9gdYxEVVQKpMbL6KpUqHAz8icPggw9xwAi7Q6WnrKL9fYbKtZ6c",
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      ],
      "additionalRegisters": {}
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  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "80420b9b2bca984194d47d1a121733ccf85b1f6850d3bec97d96a22854f39959",
      "transactionId": "480ffd31db8ffde647104f803ae323f0eb08b16c2b276f3d61f6b30998899b18",
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      "value": 7260000,
      "index": 0,
      "globalIndex": 47788089,
      "creationHeight": 1521415,
      "settlementHeight": 1521417,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(162115,d88eb1,...)))\n1: 0\n2: 2\n3: 3\n4: 1\n5: 100000000000000000\n6: 87828676696607919\n7: 0\n8: 0\n9: Coll(6,-62,-127,-31,-84,121,9,65,-61,-10,-57,-118,-31,12,37,-80,-14,-59,93,108,-4,-59,7,12,-52,-36,37,26,-24,-36,88,10)\n10: 49296201\n11: 990\n12: CBigInt(1)\n13: 2\n14: 1000\n15: 990\n16: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n17: 0\n18: 0\n19: 2000000\n20: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n      val coll3 = box2.tokens\n      val box4 = OUTPUTS(placeholder[Int](4))\n      val bi5 = box4.value - SELF.value.toBigInt * placeholder[Long](5).toBigInt / placeholder[Long](6).toBigInt\n      val l6 = SELF.tokens(placeholder[Int](7))._2\n      ((((coll3(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9)) && (box4.propositionBytes == prop1.propBytes)) && (bi5 >= placeholder[Long](10).toBigInt)) && (box2.value.toBigInt * l6.toBigInt * placeholder[Int](11).toBigInt <= bi5 + placeholder[BigInt](12) * coll3(placeholder[Int](13))._2.toBigInt * placeholder[Int](14).toBigInt + l6 * placeholder[Int](15).toLong.toBigInt)) && (OUTPUTS.map({(box7: Box) => if (box7.propositionBytes == placeholder[Coll[Byte]](16)) { box7.value } else { placeholder[Long](17) } }).fold(placeholder[Long](18), {(tuple7: (Long, Long)) => tuple7._1 + tuple7._2 }) <= placeholder[Long](19))\n    )} else { placeholder[Boolean](20) })\n}",
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        }
      },
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      "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": "e7a2fabdbbee60cb3293412b46c21ad61eb4d2d0d47b07dbc4f3ffa9cc8c8feb",
      "mainChain": true
    }
  ],
  "size": 2632,
  "isUnconfirmed": false
}