Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
10,000
Output transaction:
Settlement height:
Value:
31.04 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.00726 ERG
Tokens:
10,000
Spent in transaction:
Settlement height:
Value:
0.154639175 ERG
Spent in transaction:
Settlement height:
Value:
30.88 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.47 KB
Received time: 1/5/2025 06:35:48 AM
Included in blocks: 1,432,536
Confirmations: 325,852
Total coins transferred: 31.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000789 ERG
Raw Transaction Data
{
  "id": "e562f62f582276ae01e3e61e1add5c8eaa3776a3a54b855f17dbfebf77538efe",
  "blockId": "9b4ed0727b02baf6f82855704eb2f4809af125bce6dcb96f4568000978e2a908",
  "inclusionHeight": 1432536,
  "timestamp": 1736058948803,
  "index": 1,
  "globalIndex": 8382221,
  "numConfirmations": 325852,
  "inputs": [
    {
      "boxId": "e67e7322197619457da95f6970328dad3fca9b9ff8e7549a9afc104bc18cd340",
      "value": 3000000,
      "index": 0,
      "spendingProof": "86449501de551af63e8a209cb7b853fb76247c5b2d9667d7af39e4913bfa03e3c3da2d4caa5ca3a64a597eaaa2b9d3dac28d31ce43bdb7a9",
      "outputBlockId": "bcb6c18c3343eac00da54a83c823ec6682ab39e970142097fa6dcfa956313308",
      "outputTransactionId": "02194f20faef241a23c7f917a2e0170f5bad9190dc30bf61435740ae2b551ff6",
      "outputIndex": 0,
      "outputGlobalIndex": 45362328,
      "outputCreatedAt": 1432531,
      "outputSettledAt": 1432533,
      "ergoTree": "0008cd023f8ab6e47b44024e786150c699d2266d2107e93a8e7a83e77c77bd7d6ac77d3b",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3f8ab6,63a337,...)))}",
      "address": "9f13c88LNSdV5NFt96Ppkh3MHy5SFa99bDsENdc7BjAJMZr9fZC",
      "assets": [
        {
          "tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
          "index": 0,
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          "name": "CYPX",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "c75cdc31d0c0780adc97dfc154d9b0f28557ad3613bd66cb68bff2178bba3f10",
      "value": 31038815602,
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      "spendingProof": "19041d47eb7c6f14f6f14f122ddd2228ec06ed100d92385061a9524fab0ed1bf13566ff50aafe9ad5d706fff07184d12a6b8b59475b21c20",
      "outputBlockId": "77b834cf11d6ed6c6323e59095b751109c9014c9badde2a2806eecf2e16fbe8a",
      "outputTransactionId": "b0e5008c5ecf1836ce04e0498769fc11309c0feb0d3b99191a3eb3426a2ea023",
      "outputIndex": 1,
      "outputGlobalIndex": 43980470,
      "outputCreatedAt": 1397963,
      "outputSettledAt": 1397965,
      "ergoTree": "0008cd023f8ab6e47b44024e786150c699d2266d2107e93a8e7a83e77c77bd7d6ac77d3b",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3f8ab6,63a337,...)))}",
      "address": "9f13c88LNSdV5NFt96Ppkh3MHy5SFa99bDsENdc7BjAJMZr9fZC",
      "assets": [
        {
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          "type": "EIP-004"
        },
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        },
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        },
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        },
        {
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          "name": "CyberPet #2375",
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        },
        {
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      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "2c0114e61572b18f3110ede62e875898ce0dd37fac4bb8e9ed30306a4228f8f5",
      "transactionId": "e562f62f582276ae01e3e61e1add5c8eaa3776a3a54b855f17dbfebf77538efe",
      "blockId": "9b4ed0727b02baf6f82855704eb2f4809af125bce6dcb96f4568000978e2a908",
      "value": 7260000,
      "index": 0,
      "globalIndex": 45362480,
      "creationHeight": 1432534,
      "settlementHeight": 1432536,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(3f8ab6,63a337,...)))\n1: 0\n2: 2\n3: 3\n4: 1\n5: 1000000000000000000\n6: 999392881120113853\n7: 0\n8: 0\n9: Coll(127,23,89,48,11,25,40,122,-37,-68,-48,60,-121,126,-82,108,109,-26,15,76,41,98,-79,-4,90,-30,-58,-30,-90,-124,34,12)\n10: 9882743230\n11: 997\n12: CBigInt(1)\n13: 2\n14: 1000\n15: 997\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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