Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
10 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
10 ERG
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 1.81 KB
Received time: 12/31/2023 10:46:02 AM
Included in blocks: 1,167,835
Confirmations: 600,656
Total coins transferred: 10 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000808 ERG
Raw Transaction Data
{
  "id": "86434a8cb3ff3dd8a25750c73d12ef31859b8ab3b5c49f437a0ef4da98e7c232",
  "blockId": "bb98e066d965c3e2c386a4b572e0d2a99ac049187bca1e7971480b4232b4e847",
  "inclusionHeight": 1167835,
  "timestamp": 1704019562133,
  "index": 11,
  "globalIndex": 6364331,
  "numConfirmations": 600656,
  "inputs": [
    {
      "boxId": "b25714ad9a892083aeb04dcc1a3f2700eeb1d454a3feb92d3e1582a77ceeb0d5",
      "value": 10001500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "bb98e066d965c3e2c386a4b572e0d2a99ac049187bca1e7971480b4232b4e847",
      "outputTransactionId": "fc332f684bbd1c4f61eefa1debe5fa0a03293f7ede0130e6b7d99fca154b836b",
      "outputIndex": 0,
      "outputGlobalIndex": 35569968,
      "outputCreatedAt": 1167832,
      "outputSettledAt": 1167835,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 5\n1: 2\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 2\n20: 3\n21: 3\n22: 4\n23: 4\n24: 5\n25: 0\n26: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Long]].get\n  val l2 = coll1(placeholder[Int](0))\n  val l3 = coll1(placeholder[Int](1))\n  if (l2 == placeholder[Long](2)) {(\n    val coll4 = OUTPUTS(placeholder[Int](3)).tokens\n    val tuple5 = coll4(placeholder[Int](4))\n    val tuple6 = SELF.tokens(placeholder[Int](5))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7), tuple5._1 == tuple6._1, tuple5._2 == tuple6._2 + INPUTS(placeholder[Int](8)).tokens(\n            placeholder[Int](9)\n          )._2\n        )\n      )\n    )\n  )} else {(\n    val box4 = OUTPUTS(placeholder[Int](10))\n    val coll5 = box4.R4[Coll[Long]].get\n    val l6 = INPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._2\n    val coll7 = box4.tokens\n    val tuple8 = coll7(placeholder[Int](13))\n    val tuple9 = SELF.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box4.propositionBytes == SELF.propositionBytes, coll5(placeholder[Int](15)) == coll1(placeholder[Int](16)), coll5(placeholder[Int](17)) == coll1(\n            placeholder[Int](18)\n          ), coll5(placeholder[Int](19)) == l3, coll5(placeholder[Int](20)) == coll1(placeholder[Int](21)), coll5(placeholder[Int](22)) == coll1(\n            placeholder[Int](23)\n          ), coll5(placeholder[Int](24)) == l2 - l6, box4.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box4.R6[Coll[Coll[Byte]]].get == SELF.R6[\n            Coll[Coll[Byte]]\n          ].get, coll7(placeholder[Int](25))._1 == placeholder[Coll[Byte]](\n            26\n          ), tuple8._1 == tuple9._1, box4.value == SELF.value - l6 * l3, tuple8._2 == tuple9._2 + l6\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5eee0460afad6c9c416224177a49a0438b2806480bfeb650ffde4797ba9e767a",
          "index": 1,
          "amount": 999999980,
          "name": "Raffle_token: Predikt - Prediction Market on Ergo",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106bc010a8094ebdc0380b0d7fda730acc78e0128",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,500000000,830000000000,1167830,20]"
        },
        "R5": {
          "serializedValue": "0e240008cd028da520755b2eb90286e71f4ad12fdeee7ec8bf38348b7aec1572b02e0d555665",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd028da520755b2eb90286e71f4ad12fdeee7ec8bf38348b7aec1572b02e0d555665"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[50726564696b74202d2050726564696374696f6e204d61726b6574206f6e204572676f,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,697066733a2f2f6261666b726569656363747a757061353566686665627974796f6d706532646f796270767962327034343679713268767933356334676275627575]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "b620d8398ab8be83e4f0fbb99cdff56195633ce19753ca3ba93dec69d5bc99a0",
      "value": 1500000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "c53d442d45d88dedb07a327bf67c9e0403d9ba74237432ad9c26895193d6073e",
      "outputTransactionId": "ff22972c3745bf3df33377e206a3e0832ceac6dfa20975cae54ca34510d2ca87",
      "outputIndex": 1,
      "outputGlobalIndex": 35097999,
      "outputCreatedAt": 1156766,
      "outputSettledAt": 1156768,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 1\n2: 1\n3: 0\n4: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n5: 1\n6: 0\n7: 0\n8: 1\n9: 0\n10: 1\n11: 1\n12: 0\n13: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n14: 2\n15: 3\n16: false\n17: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n18: 2\n19: 21600",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  sigmaProp(if (i1 == placeholder[Int](0)) {(\n      val box2 = OUTPUTS(placeholder[Int](1))\n      val box3 = INPUTS(placeholder[Int](2))\n      val coll4 = box3.tokens\n      allOf(Coll[Boolean](box2.value == box3.value, box2.propositionBytes == SELF.R4[Coll[Byte]].get, coll4(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), coll4(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1))\n    )} else {(\n      val coll2 = INPUTS(placeholder[Int](7)).tokens\n      if (coll2.size > placeholder[Int](8)) {(\n        val tuple3 = SELF.tokens(placeholder[Int](9))\n        val box4 = OUTPUTS(placeholder[Int](10))\n        allOf(Coll[Boolean](coll2(placeholder[Int](11))._1 == tuple3._1, coll2(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13), i1 == placeholder[Int](14), box4.propositionBytes == SELF.R4[Coll[Byte]].get, box4.value == SELF.R5[Coll[Long]].get(placeholder[Int](15)) * tuple3._2))\n      )} else { placeholder[Boolean](16) }\n    )}) || placeholder[SigmaProp](17) && sigmaProp(HEIGHT.toLong > SELF.R5[Coll[Long]].get(placeholder[Int](18)) + placeholder[Long](19))\n}",
      "address": "KWS1gdArUXRDwTgdW5XbBHwZnusjpchYJcoZXYnFqyHN4Ere7BjZAdJepNdkAuE3ZbXyJxnXSwDKrvzmga5MgDEySeF7r42ixE8Q3VH11D9doJT7C2pxBHgn8qsCvaSwfG9zmyqYSqD1UTjXXpV5u3JPJFXT6fMtgM9dNsDr7o6i5gns7M54Gkv7iMkQgSWtCHBC6CaKfBpmXUkoRYCvjxEjSuj4MFUG48psPeU8JaFcPWuj4k6vnjatG7WyLng2zGYsHWSAtAk4kJ2EkHrNZtY2gmC3UePuX7KAeoFyAMB7CquEThKvumCDZTUuZpwMnqzLH6tToiAMPqNyXVphWpTmquobhVY7DJGTzFV5LyYqfomGwhsftE1u4Kt2vPY3Zbjwzp5kzkhvJwKu9ouxVKrb4XRaoKWy7qX2Ne8gi2SHykeRX2dCtKMaeAeyXaCNGPwd2yVPPodBK62FEopCFGrRbbuzr7rzjLTU",
      "assets": [
        {
          "tokenId": "5eee0460afad6c9c416224177a49a0438b2806480bfeb650ffde4797ba9e767a",
          "index": 0,
          "amount": 20,
          "name": "Raffle_token: Predikt - Prediction Market on Ergo",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd036dd462c2ae1fdcf1ea47a8f1ca5c5c289635d6b9af963c695e6bdc6931e26db4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036dd462c2ae1fdcf1ea47a8f1ca5c5c289635d6b9af963c695e6bdc6931e26db4"
        },
        "R5": {
          "serializedValue": "11040028acc78e018094ebdc03",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,20,1167830,500000000]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "5765db2c2565ffeb3350b029748b4f49cefae3924d8f085d7cc4398dc233611a",
      "transactionId": "86434a8cb3ff3dd8a25750c73d12ef31859b8ab3b5c49f437a0ef4da98e7c232",
      "blockId": "bb98e066d965c3e2c386a4b572e0d2a99ac049187bca1e7971480b4232b4e847",
      "value": 1500000,
      "index": 0,
      "globalIndex": 35569993,
      "creationHeight": 1167832,
      "settlementHeight": 1167835,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 5\n1: 2\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 2\n20: 3\n21: 3\n22: 4\n23: 4\n24: 5\n25: 0\n26: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Long]].get\n  val l2 = coll1(placeholder[Int](0))\n  val l3 = coll1(placeholder[Int](1))\n  if (l2 == placeholder[Long](2)) {(\n    val coll4 = OUTPUTS(placeholder[Int](3)).tokens\n    val tuple5 = coll4(placeholder[Int](4))\n    val tuple6 = SELF.tokens(placeholder[Int](5))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7), tuple5._1 == tuple6._1, tuple5._2 == tuple6._2 + INPUTS(placeholder[Int](8)).tokens(\n            placeholder[Int](9)\n          )._2\n        )\n      )\n    )\n  )} else {(\n    val box4 = OUTPUTS(placeholder[Int](10))\n    val coll5 = box4.R4[Coll[Long]].get\n    val l6 = INPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._2\n    val coll7 = box4.tokens\n    val tuple8 = coll7(placeholder[Int](13))\n    val tuple9 = SELF.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box4.propositionBytes == SELF.propositionBytes, coll5(placeholder[Int](15)) == coll1(placeholder[Int](16)), coll5(placeholder[Int](17)) == coll1(\n            placeholder[Int](18)\n          ), coll5(placeholder[Int](19)) == l3, coll5(placeholder[Int](20)) == coll1(placeholder[Int](21)), coll5(placeholder[Int](22)) == coll1(\n            placeholder[Int](23)\n          ), coll5(placeholder[Int](24)) == l2 - l6, box4.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box4.R6[Coll[Coll[Byte]]].get == SELF.R6[\n            Coll[Coll[Byte]]\n          ].get, coll7(placeholder[Int](25))._1 == placeholder[Coll[Byte]](\n            26\n          ), tuple8._1 == tuple9._1, box4.value == SELF.value - l6 * l3, tuple8._2 == tuple9._2 + l6\n        )\n      )\n    )\n  )}\n}",
      "address": "Doacx3cTSf3FcTpEX4qG2rProSCcTPSKz2jAVqeormjqGbTHpB15BaCL4xE7i4tuGoaFT1ZZbwjoHBz4ZYRejQxSbkS6PtdwUEJhjeue49d1nV3Zxaqmdg8zc3VBhcKGaenGgLUCTeZ6Ra11vrDzzP2kRvubmKpUAMEsj44pvorqwhMiTs1xzsaCTApsPeZoZ7EuYtokWtdN7FyjGs9tCbcNLDDUtaayc7PxUTysSn1QY1PPWZ3uVjE6tc2gusvRtMjNWHFH8tMh5Jm5gccn7KbMKFG4ZDpoh8fPNvKS5toPcoNg99yiTcYeVHAcgvuLYKrdtH9fTLLPv8dQC99FzfpMQ3UDCyeW6Hj1PuuLw5gM4gwi4ur9bHD1RHviow3ZF2TjaAjKoYrc96UxkdphPjzYKJdMXnchXCckmBpNbDFZ4ZVddHD3z4SAjLkamynCz4fqspgmKjpGwLraKvME6cwXWBw37BtfmBVZaFNkGpjJ9sNXHVDYPLkuPucPyYhYWoqKpEhCQUqJjzMtiv2WUaciktoN2LRTvWUeezqmdtJUC1W7tyLCY6g3j3FzGV2ot2gdMoZyVGu8hSzHdZRBAFNsfdVtARd",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5eee0460afad6c9c416224177a49a0438b2806480bfeb650ffde4797ba9e767a",
          "index": 1,
          "amount": 1000000000,
          "name": "Raffle_token: Predikt - Prediction Market on Ergo",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106bc010a8094ebdc0380b0d7fda730acc78e0100",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,500000000,830000000000,1167830,0]"
        },
        "R5": {
          "serializedValue": "0e240008cd028da520755b2eb90286e71f4ad12fdeee7ec8bf38348b7aec1572b02e0d555665",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd028da520755b2eb90286e71f4ad12fdeee7ec8bf38348b7aec1572b02e0d555665"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[50726564696b74202d2050726564696374696f6e204d61726b6574206f6e204572676f,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,697066733a2f2f6261666b726569656363747a757061353566686665627974796f6d706532646f796270767962327034343679713268767933356334676275627575]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "6a7ecf555296c1adc0d68ea7eba2203b8e4f4648d9b1a1a2c54f37325ab094dc",
      "mainChain": true
    },
    {
      "boxId": "77de9baca3e0cb752336a2bdfe82589418ea877d596db43e9d6ba3e726cbfb0d",
      "transactionId": "86434a8cb3ff3dd8a25750c73d12ef31859b8ab3b5c49f437a0ef4da98e7c232",
      "blockId": "bb98e066d965c3e2c386a4b572e0d2a99ac049187bca1e7971480b4232b4e847",
      "value": 10000000000,
      "index": 1,
      "globalIndex": 35569994,
      "creationHeight": 1167832,
      "settlementHeight": 1167835,
      "ergoTree": "0008cd036dd462c2ae1fdcf1ea47a8f1ca5c5c289635d6b9af963c695e6bdc6931e26db4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6dd462,705eac,...)))}",
      "address": "9hJB9BsLrZEFGNkgAW7rdbM5TihWDCvd34MUux4acygAdfFuB3R",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3370af80d0303b59420de66d2356ef29d0582dc7ac9b1b120de6b05a9f02e71c",
      "mainChain": true
    },
    {
      "boxId": "486a833821b7a5cb6d978ebaa3a4965d8f3f5d25fb2ad0c0fe2e16aa7646ca6c",
      "transactionId": "86434a8cb3ff3dd8a25750c73d12ef31859b8ab3b5c49f437a0ef4da98e7c232",
      "blockId": "bb98e066d965c3e2c386a4b572e0d2a99ac049187bca1e7971480b4232b4e847",
      "value": 1500000,
      "index": 2,
      "globalIndex": 35569995,
      "creationHeight": 1167832,
      "settlementHeight": 1167835,
      "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": "61c72cea3dfe9b3b184708df3045158b568e342bfca689b2c7fa29bee52ea23b",
      "mainChain": true
    }
  ],
  "size": 1857,
  "isUnconfirmed": false
}