Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1.94 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
1.94 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 772 B
Received time: 9/1/2023 02:16:57 PM
Included in blocks: 1,081,718
Confirmations: 679,782
Total coins transferred: 1.94 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000001425 ERG
Raw Transaction Data
{
  "id": "4674ec3fcbc0785563a70c3fb6754da57be0ec899a8bf77e4298a80b2d217a80",
  "blockId": "3df6c0b5752a2862ff0d8eb232c6121a0e36a858e2ffe2ecd5ad605d90a1e629",
  "inclusionHeight": 1081718,
  "timestamp": 1693577817551,
  "index": 4,
  "globalIndex": 5760570,
  "numConfirmations": 679782,
  "inputs": [
    {
      "boxId": "ce5d31f86bce3db4512cc754f687c4d4d83590e46a5d0fc89f229718c77b023d",
      "value": 1100000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "6b58893d6f7508f02d8cb8a892458657e479fa66a078f34b485a91d205877a21",
      "outputTransactionId": "e15652e8d7e70c5eef8f517de9f8bf28a6ff1f247e8c0b429de3ab46c89eefcc",
      "outputIndex": 1,
      "outputGlobalIndex": 32255301,
      "outputCreatedAt": 1081641,
      "outputSettledAt": 1081644,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(115,120,71,67,81,9,-28,9,88,-75,53,-64,30,8,-72,-73,-72,-50,-14,-59,-89,68,25,127,-10,72,-123,14,13,34,-26,-88)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 3\n12: 2\n13: 1\n14: 1\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n      val i13 = coll12.size\n      val l14 = i13.toLong\n      val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll16 = box15.R6[Coll[Long]].get\n      val l17 = coll16(placeholder[Int](11))\n      val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n        Long\n      ](15)\n      val tuple19 = SELF.tokens(placeholder[Int](16))\n      val l20 = coll16(placeholder[Int](17))\n      val tuple21 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n              l18\n            }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](23))\n      val tuple13 = SELF.tokens(placeholder[Int](24))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](25)\n            ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
          "index": 0,
          "amount": 10000,
          "name": "rptconfCardanoRWTV1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012023152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e]"
        },
        "R5": {
          "serializedValue": "1a01204dad434e7283f919a7d4ab1a7b1b78bd012bc5cfdec000d33085b41fa0a2ece0",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4dad434e7283f919a7d4ab1a7b1b78bd012bc5cfdec000d33085b41fa0a2ece0]"
        },
        "R6": {
          "serializedValue": "0e20760906c92bc1836a9b834894a6132a341ad5c0aea418b1255008edf67f79e9f5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "760906c92bc1836a9b834894a6132a341ad5c0aea418b1255008edf67f79e9f5"
        },
        "R7": {
          "serializedValue": "0e20137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73"
        }
      }
    },
    {
      "boxId": "c1bf579616b19ac8aeade8b24d0da34c858fb30902b1e5daaea7f959d8bba0f1",
      "value": 1937300000,
      "index": 1,
      "spendingProof": "fee7e9f03c70123a1b6d8978c5873139cb662bc3dd67e1169d14d8d18640c4e19ece5cea8d87fdde54261ba73615afed67277f45838e8b5c",
      "outputBlockId": "3df6c0b5752a2862ff0d8eb232c6121a0e36a858e2ffe2ecd5ad605d90a1e629",
      "outputTransactionId": "80e783cd8c26c8764841c788680eaf787ad8a33fe80081fc890288510b12e533",
      "outputIndex": 1,
      "outputGlobalIndex": 32261186,
      "outputCreatedAt": 1081714,
      "outputSettledAt": 1081718,
      "ergoTree": "0008cd03d9b0cd0b38676710e8fa473292b308e98547203511430eeef9d5c6045fd866de",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d9b0cd,488b41,...)))}",
      "address": "9i7gJiuEn9L5QzZTE9os1Bi7iz5xMkEZ1RAbnsuTfxzFXbZEM7u",
      "assets": [
        {
          "tokenId": "23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "bd13d7b97a712981257f0ae5e962612523e5638cd0c433462b039a76241a0332",
      "transactionId": "4674ec3fcbc0785563a70c3fb6754da57be0ec899a8bf77e4298a80b2d217a80",
      "blockId": "3df6c0b5752a2862ff0d8eb232c6121a0e36a858e2ffe2ecd5ad605d90a1e629",
      "value": 1100000,
      "index": 0,
      "globalIndex": 32261191,
      "creationHeight": 1081714,
      "settlementHeight": 1081718,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n            {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n          )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll7 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n            Coll[Coll[Byte]]\n          ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n            Coll[Coll[Byte]]\n          ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n            placeholder[Int](15)\n          )._1 == coll4(placeholder[Int](16))\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
          "index": 0,
          "amount": 10000,
          "name": "rptconfCardanoRWTV1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012023152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      },
      "spentTransactionId": "48c75c6a8563e16feed0042e34cbbd7f702578f3733d12e94311c082b02d32bf",
      "mainChain": true
    },
    {
      "boxId": "b5b3a0d346094a144824d40b12d8e3f5fa4b5ba27609bdfb66c8975188146b51",
      "transactionId": "4674ec3fcbc0785563a70c3fb6754da57be0ec899a8bf77e4298a80b2d217a80",
      "blockId": "3df6c0b5752a2862ff0d8eb232c6121a0e36a858e2ffe2ecd5ad605d90a1e629",
      "value": 1936200000,
      "index": 1,
      "globalIndex": 32261192,
      "creationHeight": 1081714,
      "settlementHeight": 1081718,
      "ergoTree": "0008cd03d9b0cd0b38676710e8fa473292b308e98547203511430eeef9d5c6045fd866de",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d9b0cd,488b41,...)))}",
      "address": "9i7gJiuEn9L5QzZTE9os1Bi7iz5xMkEZ1RAbnsuTfxzFXbZEM7u",
      "assets": [
        {
          "tokenId": "23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "48c75c6a8563e16feed0042e34cbbd7f702578f3733d12e94311c082b02d32bf",
      "mainChain": true
    },
    {
      "boxId": "2bc6b3ba46b31d35e69cf81fa8e370fb6dbb5571ce357d951f73eca6f3831c16",
      "transactionId": "4674ec3fcbc0785563a70c3fb6754da57be0ec899a8bf77e4298a80b2d217a80",
      "blockId": "3df6c0b5752a2862ff0d8eb232c6121a0e36a858e2ffe2ecd5ad605d90a1e629",
      "value": 1100000,
      "index": 2,
      "globalIndex": 32261193,
      "creationHeight": 1081714,
      "settlementHeight": 1081718,
      "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": {},
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