Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Outputs (2)
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 2.07 KB
Received time: 9/1/2021 06:22:05 AM
Included in blocks: 567,231
Confirmations: 1,210,177
Total coins transferred: 0.0045 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000707 ERG
Raw Transaction Data
{
  "id": "627ba27d524d8bfdacada01bdfdf563428d9f35f499c5e85a76e450dc17a37c7",
  "blockId": "3ecc74a277e01d923f3e33e970010c2fb6140d20bac892aaa4adf155dd893f54",
  "inclusionHeight": 567231,
  "timestamp": 1630477325670,
  "index": 11,
  "globalIndex": 1713042,
  "numConfirmations": 1210177,
  "inputs": [
    {
      "boxId": "7d45fb9411acd8cb556d96b048530c9559a6752b8d83c5de2112cefdda1a0a8e",
      "value": 3000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "3ecc74a277e01d923f3e33e970010c2fb6140d20bac892aaa4adf155dd893f54",
      "outputTransactionId": "895c0136477d176e12e83a7cabcb86c6de75f379bbd15257e8c67ce0b634e72d",
      "outputIndex": 1,
      "outputGlobalIndex": 6800134,
      "outputCreatedAt": 567229,
      "outputSettledAt": 567231,
      "ergoTree": "1003040004000e205e8abfece953833ea977ce92e9959d6061d604365a9e7e1c04fd0bae829d37cad801d601b2a5730000d19683070193c5a7c5b2a473010093c17201c1a793cbc27201730293e4c672010411e4c6a7041193e4c67201050ee4c6a7050e93e4c67201061ae4c6a7061a93e4c67201070ee4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(94,-118,-65,-20,-23,83,-125,62,-87,119,-50,-110,-23,-107,-99,96,97,-42,4,54,90,-98,126,28,4,-3,11,-82,-126,-99,55,-54)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        SELF.id == INPUTS(placeholder[Int](1)).id, box1.value == SELF.value, blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](2), box1.R4[\n          Coll[Long]\n        ].get == SELF.R4[Coll[Long]].get, box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R6[Coll[Coll[Byte]]].get == SELF.R6[\n          Coll[Coll[Byte]]\n        ].get, box1.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get\n      )\n    )\n  )\n}",
      "address": "2PEEpimfhHpaMvX7wcSY4zmaoGhenstsapiQqe3BRhfDdfUevhERYbETJLpQVxSL62KRrh48SfeeLnR6cYA3Z9bEixa21S4165yoQrwMREvySdQGLP3xDGhKeeCxzrACsTA3ppx1DcHQBEfJNrx3zfh8DpJ6QxjBGpPF934UnRMiq28z",
      "assets": [
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd02bbef8dda9d27dcaf6b30e573049f82b26cb05f8a181de7887179515a6412b868",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02bbef8dda9d27dcaf6b30e573049f82b26cb05f8a181de7887179515a6412b868"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f204d61726b6574696e672046756e64,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,920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53]"
        },
        "R8": {
          "serializedValue": "0e20920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        },
        "R4": {
          "serializedValue": "1106080a8094ebdc0380c0ee8ed20becee4700",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[4,5,500000000,200000000000,588726,0]"
        }
      }
    },
    {
      "boxId": "da55244c7952f2e78b414341a3ee3d5ee9d773f53c2ccb2c8f8c0d8d939614e2",
      "value": 1500000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "3ecc74a277e01d923f3e33e970010c2fb6140d20bac892aaa4adf155dd893f54",
      "outputTransactionId": "895c0136477d176e12e83a7cabcb86c6de75f379bbd15257e8c67ce0b634e72d",
      "outputIndex": 2,
      "outputGlobalIndex": 6800135,
      "outputCreatedAt": 567229,
      "outputSettledAt": 567231,
      "ergoTree": "100604000402040004000e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b10400d804d601db6308b2a5730000d602b27201730100d603b2db6308a7730200d6048c720301d196830401938cb27201730300017304938c7202017204938c7202028c720302937204e4c6b2a4730500080e",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n5: 0",
      "ergoTreeScript": "{\n  val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n  val tuple2 = coll1(placeholder[Int](1))\n  val tuple3 = SELF.tokens(placeholder[Int](2))\n  val coll4 = tuple3._1\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == coll4, tuple2._2 == tuple3._2, coll4 == INPUTS(placeholder[Int](5)).R8[\n          Coll[Byte]\n        ].get\n      )\n    )\n  )\n}",
      "address": "TwzjyySddUnYsBxgPrBqMMsCSVAyfv84TSLxMVPC5W4AXQWhxPEkbJiv1qEXv4BTmwGLBMPuRXTzgn48HENYVEKB4wmbEpiGAFCFHo6FiwurRfNwcqLJGVmtALoCmibQHchhruQLWmoH1GkojXvttzAszDLTENGfdEBCUQHhjGq9tWzRcq",
      "assets": [
        {
          "tokenId": "920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53",
          "index": 0,
          "amount": 1000000000,
          "name": "Raffle_token: Ergo Marketing Fund",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e21526166666c655f746f6b656e3a204572676f204d61726b6574696e672046756e64",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "526166666c655f746f6b656e3a204572676f204d61726b6574696e672046756e64"
        },
        "R5": {
          "serializedValue": "0e21526166666c655f746f6b656e3a204572676f204d61726b6574696e672046756e64",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "526166666c655f746f6b656e3a204572676f204d61726b6574696e672046756e64"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "d2b5ed1721e22c619d2f72ce9f6a0b59f1000cebd0071df3afb701b8e9debe51",
      "transactionId": "627ba27d524d8bfdacada01bdfdf563428d9f35f499c5e85a76e450dc17a37c7",
      "blockId": "3ecc74a277e01d923f3e33e970010c2fb6140d20bac892aaa4adf155dd893f54",
      "value": 3000000,
      "index": 0,
      "globalIndex": 6800149,
      "creationHeight": 567229,
      "settlementHeight": 567231,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 4\n11: 5\n12: 5\n13: 1\n14: 0\n15: 1\n16: 0\n17: 0\n18: Coll(120,113,-116,55,59,66,27,-121,14,-60,-71,-37,-57,-72,30,-79,-97,112,-32,-124,-123,-2,98,-62,89,49,42,-47,-34,-113,85,9)\n19: 1\n20: 1\n21: 1500000\n22: 0\n23: 1\n24: 2\n25: 3\n26: 0\n27: 1\n28: 1\n29: 100\n30: 100\n31: 1\n32: 2\n33: Coll(20,107,87,-80,71,-3,59,-69,86,-120,122,-84,113,-70,-113,-40,-12,-49,-42,42,15,-122,125,81,-66,-106,53,2,27,-100,-43,-81)\n34: 0\n35: 15\n36: 0\n37: 0\n38: 1500000\n39: 0\n40: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n41: 1\n42: 1\n43: Coll(-9,-13,-8,36,27,-73,117,-67,81,4,43,-67,-49,54,-64,-72,-22,31,-14,59,-24,123,-17,-58,-73,103,4,-71,40,-85,-86,53)\n44: 0\n45: 0\n46: 1500000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Long]].get\n  val l2 = coll1(placeholder[Int](0))\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val opt4 = SELF.R5[Coll[Byte]]\n  val opt5 = SELF.R7[Coll[Byte]]\n  val coll6 = box3.R4[Coll[Long]].get\n  val l7 = coll6(placeholder[Int](2))\n  val l8 = coll1(placeholder[Int](3))\n  val l9 = coll6(placeholder[Int](4))\n  val l10 = coll1(placeholder[Int](5))\n  val l11 = coll6(placeholder[Int](6))\n  val l12 = coll1(placeholder[Int](7))\n  val l13 = coll6(placeholder[Int](8))\n  val l14 = coll1(placeholder[Int](9))\n  val l15 = coll6(placeholder[Int](10))\n  val l16 = coll1(placeholder[Int](11))\n  val l17 = coll6(placeholder[Int](12))\n  val l18 = l16 * l12\n  val coll19 = opt4.get\n  val coll20 = opt5.get\n  val bi21 = l16.toBigInt\n  if (HEIGHT.toLong < l2) {(\n    val coll22 = box3.tokens\n    val coll23 = SELF.tokens\n    val box24 = OUTPUTS(placeholder[Int](13))\n    val coll25 = box24.tokens\n    val tuple26 = coll25(placeholder[Int](14))\n    val l27 = tuple26._2\n    val tuple28 = coll23(placeholder[Int](15))\n    val l29 = box3.value\n    val l30 = SELF.value\n    val coll31 = box24.R5[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll22(placeholder[Int](16))._1 == coll23(placeholder[Int](17))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n            Coll[Byte]\n          ] == opt4, box3.R6[Coll[Coll[Byte]]] == SELF.R6[Coll[Coll[Byte]]], box3.R7[\n            Coll[Byte]\n          ] == opt5, l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16 + l27, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](\n            18\n          ), coll25.size == placeholder[Int](19), tuple26._1 == tuple28._1, tuple28._2 == coll22(\n            placeholder[Int](20)\n          )._2 + l27, l29 > l30, box24.value >= placeholder[Long](21), l29 == l30 + l27 * l12, box24.R4[Coll[Byte]].isDefined, coll31(\n            placeholder[Int](22)\n          ) == l16, coll31(placeholder[Int](23)) == l17, coll31(placeholder[Int](24)) == l2, coll31(placeholder[Int](25)) == l12\n        )\n      )\n    )\n  )} else { if (l18 >= l14) {(\n      val box22 = CONTEXT.dataInputs(placeholder[Int](26))\n      val coll23 = box3.tokens\n      val coll24 = SELF.tokens\n      val tuple25 = coll23(placeholder[Int](27))\n      val tuple26 = coll24(placeholder[Int](28))\n      val l27 = l18 * l8 / placeholder[Long](29)\n      val l28 = l18 * l10 / placeholder[Long](30)\n      val box29 = OUTPUTS(placeholder[Int](31))\n      val box30 = OUTPUTS(placeholder[Int](32))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](33), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]].get == coll19, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll20, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box22.id.slice(placeholder[Int](34), placeholder[Int](35))) % bi21 + bi21 % bi21, coll23(placeholder[Int](36))._1 == coll24(placeholder[Int](37))._1, tuple25._1 == tuple26._1, tuple25._2 == tuple26._2, box3.value == l18 - l27 - l28 + placeholder[Long](38), box29.propositionBytes == coll19, box29.value == l27, box30.propositionBytes == coll20, box30.value == l28, box22.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), box22.creationInfo._1.toLong > l2)))\n    )} else {(\n      val coll22 = box3.tokens\n      val coll23 = SELF.tokens\n      val tuple24 = coll22(placeholder[Int](41))\n      val tuple25 = coll23(placeholder[Int](42))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](43), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]] == opt4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]] == opt5, coll22(placeholder[Int](44))._1 == coll23(placeholder[Int](45))._1, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, box3.value == SELF.value - placeholder[Long](46))))\n    )} }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53",
          "index": 1,
          "amount": 1000000000,
          "name": "Raffle_token: Ergo Marketing Fund",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106080a8094ebdc0380c0ee8ed20becee4700",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[4,5,500000000,200000000000,588726,0]"
        },
        "R5": {
          "serializedValue": "0e240008cd02bbef8dda9d27dcaf6b30e573049f82b26cb05f8a181de7887179515a6412b868",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02bbef8dda9d27dcaf6b30e573049f82b26cb05f8a181de7887179515a6412b868"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f204d61726b6574696e672046756e64,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,920f147a9c09c44e029a3b76f5eeef4de74461eb72d0d0a0550a44c44cfbde53]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "3249e2fef193070c920d62bc80c10edcf363d779fc00e6f10292242ce86c41f3",
      "mainChain": true
    },
    {
      "boxId": "b9975b236d513b82c370246a1501f1c003c4398359e095ea802c64c597576ed7",
      "transactionId": "627ba27d524d8bfdacada01bdfdf563428d9f35f499c5e85a76e450dc17a37c7",
      "blockId": "3ecc74a277e01d923f3e33e970010c2fb6140d20bac892aaa4adf155dd893f54",
      "value": 1500000,
      "index": 1,
      "globalIndex": 6800150,
      "creationHeight": 567229,
      "settlementHeight": 567231,
      "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": "e7d8b18c0df36b79b6e4b38e38cf91b9d12a1dc4681d5a46c593adb0af9d6353",
      "mainChain": true
    }
  ],
  "size": 2123,
  "isUnconfirmed": false
}