Ad
Inputs (12)
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1,000
Output transaction:
Settlement height:
Value:
1.43 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001080212 ERG
Tokens:
16,946.57
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,000
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.115 ERG
Tokens:
36,717.81
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Settlement height:
Value:
1.32 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 1.92 KB
Received time: 10/17/2022 11:05:20 PM
Included in blocks: 855,013
Confirmations: 911,475
Total coins transferred: 1.43 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000508 ERG
Raw Transaction Data
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  "inclusionHeight": 855013,
  "timestamp": 1666047920039,
  "index": 4,
  "globalIndex": 4178012,
  "numConfirmations": 911475,
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          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "3300de3baafee687b7b7dd91012d8bb3a7278bc021bfde90e746b41d09e6bb87",
      "transactionId": "f413ed8c2ce5b31a7f7aeb117b467b9f4c7799447ccbeed114fa7bab02f426ad",
      "blockId": "3c414d9dbf28466bbbb725a7f05ad73b6bce4275eda88a8de062575727477c09",
      "value": 115000000,
      "index": 0,
      "globalIndex": 22677415,
      "creationHeight": 855010,
      "settlementHeight": 855013,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n3: 1\n4: 2\n5: 0\n6: 3\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: Coll(-98,60,0,50,-115,3,90,-81,-18,-94,89,-28,28,94,-1,-75,64,-105,-60,104,-18,99,24,38,-29,-58,97,-36,-55,-68,26,75)\n13: 100000000\n14: 4\n15: 2000000\n16: 5\n17: 2000000\n18: 6\n19: false\n20: 0\n21: 1000000\n22: 2\n23: false",
      "ergoTreeScript": "{\n  val bool1 = INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)\n  sigmaProp(if (bool1) {(\n      val box2 = OUTPUTS(placeholder[Int](3))\n      val box3 = OUTPUTS(placeholder[Int](4))\n      val tuple4 = box3.tokens(placeholder[Int](5))\n      val box5 = OUTPUTS(placeholder[Int](6))\n      allOf(Coll[Boolean](box2.tokens(placeholder[Int](7)) == SELF.tokens(placeholder[Int](8)), box2.R4[Coll[Long]].get(placeholder[Int](9)) == SELF.R4[Coll[Long]].get(placeholder[Int](10)), box3.propositionBytes == SELF.R5[Coll[Byte]].get, tuple4._1 == box2.R5[Coll[Byte]].get, tuple4._2 == placeholder[Long](11), blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](12), box5.value == placeholder[Long](13), OUTPUTS(placeholder[Int](14)).value == placeholder[Long](15), OUTPUTS(placeholder[Int](16)).value == placeholder[Long](17), OUTPUTS.size == placeholder[Int](18)))\n    )} else { placeholder[Boolean](19) } || if (!bool1) {(\n      val box2 = OUTPUTS(placeholder[Int](20))\n      allOf(Coll[Boolean](box2.propositionBytes == SELF.R5[Coll[Byte]].get, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22)))\n    )} else { placeholder[Boolean](23) })\n}",
      "address": "9RPe1XUt1eWcE8SeSjinriNmrGdMwXK4bbU2xhW3gyJ2j5RAAjrwyPjLuBZpKJGwGCrufVauHgMJmEgnoZH4pBrqGWzYY1538ZHXRA2dCtCNyCgrcS16R3CTFBQ4oZGWviEBHiE2zANhAmJpbFPv5bXp3uYev8jq1hVmVukJ9XFL4re1LwLRzkMDo9RqY6bTHYqjvDbPHHbS7fiYHnKYDr58CCcCHzf72J2G5rBGesbb23NxpLt3oAbU9ZvuzdJ7fr6ZxJBAtjRHtPYEw1Q5mAhcMviSBpamWsCkbduSQwzD3964GzmKVeXKZ7U4oBvWxobRAmNXKEetDhzeXBAKDfMuhdevBQbPMzL2vYgkDdFycFT1a6zTqdbSNAwRKcEhV6yU9uuv8pWqRJm7RzFgoFaUVQyqmemdcULGVyKZMCXr1s78DXFe7yEfBuRhjSwjEcforCQV597rgEzNPLvRG7ZUz6tj",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 36717812802,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1101c4ab8883fd60",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1666047871714]"
        },
        "R5": {
          "serializedValue": "0e240008cd023ad1d7fc16c5aece2ef314fe4b6703bf0df4709c84bb3d8ac926dca7bba58b79",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023ad1d7fc16c5aece2ef314fe4b6703bf0df4709c84bb3d8ac926dca7bba58b79"
        }
      },
      "spentTransactionId": "d19f9614f2980f5bba147a0d11ade2e81db5a0e591669ba559802a4def1b9fe0",
      "mainChain": true
    },
    {
      "boxId": "b72c98305f30acf1bbe8140c5b4f3f70c4041b2f483ba733bc677bc0360b06d8",
      "transactionId": "f413ed8c2ce5b31a7f7aeb117b467b9f4c7799447ccbeed114fa7bab02f426ad",
      "blockId": "3c414d9dbf28466bbbb725a7f05ad73b6bce4275eda88a8de062575727477c09",
      "value": 1000000,
      "index": 1,
      "globalIndex": 22677416,
      "creationHeight": 855010,
      "settlementHeight": 855013,
      "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": "d936533885f046345b218f72d2ecab5f746c3e1bf4ae461ba3b629fc56c51ae1",
      "mainChain": true
    },
    {
      "boxId": "161bc57cca2e9473802131152ede1dc7f84c4dda6b194b7cc8567bb0f4896bf1",
      "transactionId": "f413ed8c2ce5b31a7f7aeb117b467b9f4c7799447ccbeed114fa7bab02f426ad",
      "blockId": "3c414d9dbf28466bbbb725a7f05ad73b6bce4275eda88a8de062575727477c09",
      "value": 1315905285,
      "index": 2,
      "globalIndex": 22677417,
      "creationHeight": 855010,
      "settlementHeight": 855013,
      "ergoTree": "0008cd023ad1d7fc16c5aece2ef314fe4b6703bf0df4709c84bb3d8ac926dca7bba58b79",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3ad1d7,e48f0b,...)))}",
      "address": "9exxz72RKweNpPm9mr6ygdHREKQjpzGJXJYV9uXw7e2nKD7CSi4",
      "assets": [
        {
          "tokenId": "5a34d53ca483924b9a6aa0c771f11888881b516a8d1a9cdc535d063fe26d065e",
          "index": 0,
          "amount": 75488236983,
          "name": "LunaDog",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "a69cf03448b0f236524a2d3052abd0db9fc451472ee8248cb1bb14446a371f1a",
          "index": 1,
          "amount": 1,
          "name": "Aneta #2661",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "94180232cc0d91447178a0a995e2c14c57fbf03b06d5d87d5f79226094f52ffc",
          "index": 2,
          "amount": 1000000000,
          "name": "eTOSI",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
          "index": 3,
          "amount": 2,
          "name": "WT_ERG",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
          "index": 4,
          "amount": 8000,
          "name": "Mi Goreng ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 5,
          "amount": 2500,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e249780a22e14279357103749102d0a7033e0459d10b7f277356522ae9df779c",
          "index": 6,
          "amount": 5335489635,
          "name": "ERG_NETA_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "93e37aa17e55b306cba2c2aad75e91975a554fe656cef24345eefdd25281fb03",
          "index": 7,
          "amount": 1,
          "name": "Aneta #1583",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    }
  ],
  "size": 1968,
  "isUnconfirmed": false
}