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:
9 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
1 ERG
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 1.63 KB
Received time: 6/6/2022 04:36:36 AM
Included in blocks: 765,884
Confirmations: 1,003,346
Total coins transferred: 10 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000899 ERG
Raw Transaction Data
{
  "id": "d91a05a2509408cf788ff4d5ddd0e7d2e5da620c7232481596ed37c0be1fd521",
  "blockId": "fd578cc2e76295db55d21d3983d7ae991a1c94d85768681a47980cec5e263592",
  "inclusionHeight": 765884,
  "timestamp": 1654490196233,
  "index": 13,
  "globalIndex": 3306610,
  "numConfirmations": 1003346,
  "inputs": [
    {
      "boxId": "3091411257665568b218d9e751509b874200cf8aa4d82588ee9833e362bb300e",
      "value": 10001500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "fd578cc2e76295db55d21d3983d7ae991a1c94d85768681a47980cec5e263592",
      "outputTransactionId": "2eedd8af675fecadaa31c064588a92ceef2c70e86768614192afc7ad19535b0d",
      "outputIndex": 0,
      "outputGlobalIndex": 17540777,
      "outputCreatedAt": 765882,
      "outputSettledAt": 765884,
      "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": "fc990cd31c01820ab23415f8b636b033444a12b4fdf7f17e91a0a6edb64d5cee",
          "index": 1,
          "amount": 999999990,
          "name": "Raffle_token: ErgoHack Fest Community Raffle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106bc010a80a8d6b907808095e789c604eebe5d14",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,1000000000,10000000000000,765879,10]"
        },
        "R5": {
          "serializedValue": "0e240008cd036a363618e26545ad5766502838e97d67e1dc98b953c9fe5ee24b29dbfeffb8da",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036a363618e26545ad5766502838e97d67e1dc98b953c9fe5ee24b29dbfeffb8da"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f4861636b204665737420436f6d6d756e69747920526166666c65,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]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "6b8875069baed31e1eb34d3e2de6ef3a184f95e7957545043ddbe45e5c6ea6f0",
      "value": 1500000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "30b7934a76dfa1457fb0f6a07af18b82a046c1abb66cdcb2e602a139b35dce36",
      "outputTransactionId": "ec7e8c29e7f0c42584de7e24adb6af363fca72648cc5f7ca116857ffa7fe1c31",
      "outputIndex": 1,
      "outputGlobalIndex": 16859083,
      "outputCreatedAt": 752133,
      "outputSettledAt": 752135,
      "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": "fc990cd31c01820ab23415f8b636b033444a12b4fdf7f17e91a0a6edb64d5cee",
          "index": 0,
          "amount": 1,
          "name": "Raffle_token: ErgoHack Fest Community Raffle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd036470ff0f55161004d6da21230d3849ca0ad1867a4a311aa76b7d5c48b60450a7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036470ff0f55161004d6da21230d3849ca0ad1867a4a311aa76b7d5c48b60450a7"
        },
        "R5": {
          "serializedValue": "11041214eebe5d80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9,10,765879,1000000000]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "13840e814ca2c83c69beb17a1f8bdcafc1f15c4049a6d9f7a7c7248952a38bb0",
      "transactionId": "d91a05a2509408cf788ff4d5ddd0e7d2e5da620c7232481596ed37c0be1fd521",
      "blockId": "fd578cc2e76295db55d21d3983d7ae991a1c94d85768681a47980cec5e263592",
      "value": 9001500000,
      "index": 0,
      "globalIndex": 17540783,
      "creationHeight": 765882,
      "settlementHeight": 765884,
      "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": "fc990cd31c01820ab23415f8b636b033444a12b4fdf7f17e91a0a6edb64d5cee",
          "index": 1,
          "amount": 999999991,
          "name": "Raffle_token: ErgoHack Fest Community Raffle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106bc010a80a8d6b907808095e789c604eebe5d12",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,1000000000,10000000000000,765879,9]"
        },
        "R5": {
          "serializedValue": "0e240008cd036a363618e26545ad5766502838e97d67e1dc98b953c9fe5ee24b29dbfeffb8da",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036a363618e26545ad5766502838e97d67e1dc98b953c9fe5ee24b29dbfeffb8da"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f4861636b204665737420436f6d6d756e69747920526166666c65,3c703e57656c636f6d6520746f20746865204572676f4861636b204665737420526166666c6521205468697320526166666c652069732061696d656420746f20737570706f727420616e6420636f6c6c656374206164646974696f6e616c2066756e647320666f7220746865207072697a6520706f6f6c20666f72207061727469636970616e7473206f6e20746865204572676f4861636b20466573742e266e6273703b3c62723e3c62723e4572676f204861636b6174686f6e732068617665206265636f6d652061207072696e636970616c20616e6420646566696e696e672066656174757265206f662074686520636f6d6d756e697479206f76657220746865206c61737420796561722e20496e206a75737420612073686f727420616d6f756e74206f662074696d652c204572676f6861636b7320686176652068656c706564206275696c6420746f6f6c7320616e64206441707073207468617420617265206e6f77206b657920706965636573206f6620696e66726173747275637475726520696e20746865204572676f2065636f73797374656d2e2054686f756768207468657365206576656e74732073746172746564206f757420617320636f6d7065746974696f6e732c206f6e65206f6620746865206772656174657374206f7574636f6d657320686173206265656e2074686520726574656e74696f6e20616e6420657870616e73696f6e206f6620636f6d6d756e69747920646576656c6f70657273206163746976656c7920776f726b696e6720746f206275696c642044654669206f6e204572676f2e266e6273703b3c62723e3c62723e57652077656c636f6d6520796f7520746f20737570706f727420746865203c7370616e207374796c653d226261636b67726f756e642d636f6c6f723a726762283235352c3235352c323535293b636f6c6f723a72676228302c302c30293b223e696e697469617469766520616e642068656c7020746865207061727469636970616e747320616464696e672076616c756520746f207468652045636f73797374656d2e266e6273703b3c2f7370616e3e3c2f703e]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "44f674857f0f6c318beb2d7932cee7ae06fe60a64ef8f9ca0eabe5fbe5119718",
      "mainChain": true
    },
    {
      "boxId": "1c771afe40ce2a35ac6de744c2442826ffc577d947e26956489f8940ca5a7808",
      "transactionId": "d91a05a2509408cf788ff4d5ddd0e7d2e5da620c7232481596ed37c0be1fd521",
      "blockId": "fd578cc2e76295db55d21d3983d7ae991a1c94d85768681a47980cec5e263592",
      "value": 1000000000,
      "index": 1,
      "globalIndex": 17540784,
      "creationHeight": 765882,
      "settlementHeight": 765884,
      "ergoTree": "0008cd036470ff0f55161004d6da21230d3849ca0ad1867a4a311aa76b7d5c48b60450a7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6470ff,bb6d87,...)))}",
      "address": "9hE3LD4Botvt78W6GfMUdhhuNNa6pBeGvbnG1uRfStotUyTuVJn",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "fd6dd35ae3ea261f9362a35c441a4072057cd58cbdf0a86fe4a302ca3c91d5e9",
      "mainChain": true
    },
    {
      "boxId": "fa44ada78bdb6866ea5ab70921c39c861a25f286c089c6bea8e8dd42b3782ba3",
      "transactionId": "d91a05a2509408cf788ff4d5ddd0e7d2e5da620c7232481596ed37c0be1fd521",
      "blockId": "fd578cc2e76295db55d21d3983d7ae991a1c94d85768681a47980cec5e263592",
      "value": 1500000,
      "index": 2,
      "globalIndex": 17540785,
      "creationHeight": 765882,
      "settlementHeight": 765884,
      "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": "759165cb734fffdb413e42d479529b95b1a340d2a69910649c71205595470c84",
      "mainChain": true
    }
  ],
  "size": 1668,
  "isUnconfirmed": false
}