Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
5 ERG
Outputs (2)
Spent in transaction:
Settlement height:
Value:
5 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 530 B
Received time: 10/26/2021 03:28:19 AM
Included in blocks: 605,476
Confirmations: 1,167,552
Total coins transferred: 5 ERG
Fees: 0.002 ERG
Fees per byte: 0.000003774 ERG
Raw Transaction Data
{
  "id": "f5f621b4d65ea36bc2cb0fe0bf4b79811bb29ac72a3e7fe602fd348ebabea2e2",
  "blockId": "373b95f3fb53ea6dd5655d741278b2b932fd5c402a20e6754257f3ff7d31cdb6",
  "inclusionHeight": 605476,
  "timestamp": 1635218899034,
  "index": 14,
  "globalIndex": 2005060,
  "numConfirmations": 1167552,
  "inputs": [
    {
      "boxId": "659a904cb7e1e6b9e5e25e97a27f5e47cc684de265e34f5ff569b4b8e7e67481",
      "value": 5004000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "373b95f3fb53ea6dd5655d741278b2b932fd5c402a20e6754257f3ff7d31cdb6",
      "outputTransactionId": "95060f2c5a7e1b019b9d75d2f85026badb5c8010f47deaa7d653048f8c46d542",
      "outputIndex": 0,
      "outputGlobalIndex": 8844334,
      "outputCreatedAt": 605474,
      "outputSettledAt": 605476,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 5002000000\n7: Coll(16,12,4,0,14,36,0,8,-51,3,44,-65,-22,76,96,112,56,44,83,50,121,122,103,39,-48,57,120,-21,71,-110,123,19,70,-87,-95,112,107,-115,-25,-37,123,-56,4,0,4,0,4,0,4,-6,-88,74,5,0,5,-128,-56,-81,-96,37,4,0,5,-128,-56,-81,-96,37,5,0,5,-128,-92,-24,3,-40,2,-42,1,-78,-91,115,0,0,-42,2,115,1,-47,-20,-19,-19,-19,-19,-19,-111,-79,-37,99,8)\n8: Coll(1,1)\n9: Coll(-111,95,120,52,73,90,-17,-11,-93,71,-116,-68,5,26,-41,55,-73,82,-115,31,42,-46,-50,-104,-3,123,78,-15,-4,55,15,84)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,44,-65,-22,76,96,112,56,44,83,50,121,122,103,39,-48,57,120,-21,71,-110,123,19,70,-87,-95,112,107,-115,-25,-37,123,-56)\n13: 1635218789652",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = box1.value\n  val coll3 = INPUTS(placeholder[Int](1)).id\n  val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n  sigmaProp(\n    (\n      (OUTPUTS.size == placeholder[Int](4)) && (\n        (\n          (\n            (\n              (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n                box1.propositionBytes == placeholder[Coll[Byte]](7)\n              )\n            ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n          ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n        ) || (\n          (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n            box1.propositionBytes == placeholder[Coll[Byte]](12)\n          )\n        )\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](13))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "f5b67973db09b47d5b5e0b2e6f39a1c56457905ca51b336376776da1103eeb20",
      "transactionId": "f5f621b4d65ea36bc2cb0fe0bf4b79811bb29ac72a3e7fe602fd348ebabea2e2",
      "blockId": "373b95f3fb53ea6dd5655d741278b2b932fd5c402a20e6754257f3ff7d31cdb6",
      "value": 5002000000,
      "index": 0,
      "globalIndex": 8844362,
      "creationHeight": 605474,
      "settlementHeight": 605476,
      "ergoTree": "100c04000e240008cd032cbfea4c6070382c5332797a6727d03978eb47927b1346a9a1706b8de7db7bc804000400040004faa84a05000580c8afa02504000580c8afa02505000580a4e803d802d601b2a5730000d6027301d1ecededededed91b1db63087201730293e5c67201040ec5b2a4730300720293e5c6720105047304730593e5c6720106057306730793e5c67201080ec5b2a4730800720293c172017309ed92c1720199b0a4730ad9010341639a8c720301c18c720302730b93c272017202",
      "ergoTreeConstants": "0: 0\n1: Coll(0,8,-51,3,44,-65,-22,76,96,112,56,44,83,50,121,122,103,39,-48,57,120,-21,71,-110,123,19,70,-87,-95,112,107,-115,-25,-37,123,-56)\n2: 0\n3: 0\n4: 0\n5: 608829\n6: 0\n7: 5000000000\n8: 0\n9: 5000000000\n10: 0\n11: 4000000",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  sigmaProp(\n    (\n      (\n        (\n          (\n            ((box1.tokens.size > placeholder[Int](2)) && (box1.R4[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](3)).id) == coll2)) && (\n              box1.R5[Int].getOrElse(placeholder[Int](4)) == placeholder[Int](5)\n            )\n          ) && (box1.R6[Long].getOrElse(placeholder[Long](6)) == placeholder[Long](7))\n        ) && (box1.R8[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](8)).id) == coll2)\n      ) && (box1.value == placeholder[Long](9))\n    ) || (\n      (box1.value >= INPUTS.fold(placeholder[Long](10), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](11)) && (\n        box1.propositionBytes == coll2\n      )\n    )\n  )\n}",
      "address": "2Bgo5pjW1XN8hC2PbS5KHjUfiYpTweSsPFmc7MaKFDo4NN21pm1X1zizWNTBWqR2LwvirMJGEzpeHhLpfhZCV1DrXHPrudExzBrpLjhBxUeeuZQZW8rVVwCQZsBWmKaFqwNGKwaapMz1HJCADusnHFq3R91etA28Su8YSY3ULPb6k4uEWYWZfTeR7RAWDd1koNZ47DP6GP8nbEeBhf8UTkuLAqTPURr3yaAsrnDkYZzZRG7VbgVjpmHg6nZeyuf7tY1vr9ceoWfjipAS7",
      "assets": [
        {
          "tokenId": "659a904cb7e1e6b9e5e25e97a27f5e47cc684de265e34f5ff569b4b8e7e67481",
          "index": 0,
          "amount": 1,
          "name": "Cow and Chicken - PIXEL ART",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        },
        "R8": {
          "serializedValue": "0e20915f7834495aeff5a3478cbc051ad737b7528d1f2ad2ce98fd7b4ef1fc370f54",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "915f7834495aeff5a3478cbc051ad737b7528d1f2ad2ce98fd7b4ef1fc370f54"
        },
        "R7": {
          "serializedValue": "0e020101",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0101"
        },
        "R9": {
          "serializedValue": "0e42697066733a2f2f6261667962656962757862717136326573327970367075627832656b6c76357574686e376f7470786f666a6c616475746d686e3270766b36357379",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "697066733a2f2f6261667962656962757862717136326573327970367075627832656b6c76357574686e376f7470786f666a6c616475746d686e3270766b36357379"
        },
        "R4": {
          "serializedValue": "0e1b436f7720616e6420436869636b656e202d20504958454c20415254",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "436f7720616e6420436869636b656e202d20504958454c20415254"
        }
      },
      "spentTransactionId": "316cd01c457646a89e00040e0fe7df1a1c32be050fae184c6af93a9af5e507f9",
      "mainChain": true
    },
    {
      "boxId": "6f1e149da2f37f36060133ec28203c8afef7ba9aa75c65f55db94450533f0cfb",
      "transactionId": "f5f621b4d65ea36bc2cb0fe0bf4b79811bb29ac72a3e7fe602fd348ebabea2e2",
      "blockId": "373b95f3fb53ea6dd5655d741278b2b932fd5c402a20e6754257f3ff7d31cdb6",
      "value": 2000000,
      "index": 1,
      "globalIndex": 8844363,
      "creationHeight": 605474,
      "settlementHeight": 605476,
      "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": "b5a8f4f182400ba6b1166f0b9d79b0d98c155476443a2845d4fc5befe55e9e1e",
      "mainChain": true
    }
  ],
  "size": 530,
  "isUnconfirmed": false
}