Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.419029012 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.249 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.169029012 ERG
Transaction Details
Status: Confirmed
Size: 1010 B
Received time: 11/12/2021 12:42:46 AM
Included in blocks: 618,032
Confirmations: 1,138,355
Total coins transferred: 0.419029012 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000099 ERG
Raw Transaction Data
{
  "id": "98995a71d89f7bfaf7953eb4e54a1d89317d7bc4bdc8bf438c717696775d3bcf",
  "blockId": "6a89972955d095962b3d46023e23601d3288468954b52be7d47f13cb9d1a488d",
  "inclusionHeight": 618032,
  "timestamp": 1636677766763,
  "index": 11,
  "globalIndex": 2104128,
  "numConfirmations": 1138355,
  "inputs": [
    {
      "boxId": "c37493848a31f74b5279bf50eedc71175920dc16d16db7dae0e99bf46f05794f",
      "value": 419029012,
      "index": 0,
      "spendingProof": "87344f9f5bbd2075f7d004a379870b11ac2ee76397d5e3b510be3b2cb495de53c9d68ca96fd15a6791687e0232d68efa5be85282b0bff848618a0f961a80996b174c2708fec75f7371ec8576aee3042febaba4f016e906b8",
      "outputBlockId": "e30b5e0291aa5087aee3ee6436aed9e2fb5816f3f062a5af52669219f706f792",
      "outputTransactionId": "268c2fa0a0c6fbb377d347fd43f621eefa51237a4fe51026353560334d4a9777",
      "outputIndex": 2,
      "outputGlobalIndex": 9556952,
      "outputCreatedAt": 618018,
      "outputSettledAt": 618020,
      "ergoTree": "100808cd0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d947704000402040005000580a8d6b90704060101d807d6018301087300d602b2a5730100d603c67202040c4405d604c672020505d605c672020608d60696830401e67203e67204e67205e6c67202070ed607e47203ea02ea029873027201ea02d17206b2b57201d9010808937208e47205730300d1ededed7206af7201d9010808ae7207d9010a4405938c720a017208ed720693b072077304d901084144059a8c7208018c8c72080202e472049592c1a77305ed93b1a57306aea5d901086393c27208c2a77307",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(205e05,66a7ac,...)))\n1: 0\n2: 1\n3: 0\n4: 0\n5: 1000000000\n6: 3\n7: true",
      "ergoTreeScript": "{\n  val coll1 = Coll[SigmaProp](placeholder[SigmaProp](0))\n  val box2 = OUTPUTS(placeholder[Int](1))\n  val opt3 = box2.R4[Coll[(SigmaProp, Long)]]\n  val opt4 = box2.R5[Long]\n  val opt5 = box2.R6[SigmaProp]\n  val bool6 = allOf(Coll[Boolean](opt3.isDefined, opt4.isDefined, opt5.isDefined, box2.R7[Coll[Byte]].isDefined))\n  val coll7 = opt3.get\n  atLeast(placeholder[Int](2), coll1) && sigmaProp(bool6) && coll1.filter({(prop8: SigmaProp) => prop8 == opt5.get })(placeholder[Int](3)) && sigmaProp(\n    (\n      (bool6 && coll1.forall({(prop8: SigmaProp) => coll7.exists({(tuple10: (SigmaProp, Long)) => tuple10._1 == prop8 }) })) && (\n        bool6 && (coll7.fold(placeholder[Long](4), {(tuple8: (Long, (SigmaProp, Long))) => tuple8._1 + tuple8._2._2 }) == opt4.get)\n      )\n    ) && if (SELF.value >= placeholder[Long](5)) {\n      (OUTPUTS.size == placeholder[Int](6)) && OUTPUTS.exists({(box8: Box) => box8.propositionBytes == SELF.propositionBytes })\n    } else { placeholder[Boolean](7) }\n  )\n}",
      "address": "4QwZqZXbEN4dUnRgDsbC7TKTFexwRftYc25H48AdgXqBmwxctCvEJA1SaGL2UjGoHdQwgY3Qex4ixWLEBjULoGX4HkJCuH3wdpSHWQnPVfWfNyzqcW89MEtLM144YdLzXFVenrYq3QXWPQbDZmcDk1dFBdSyTGf9P8ojTMHa8zaMzVcPjXZ9hKqHADvSEN9iJf7AJQhN37FHrvsv7vAkWMnwc1tLzAUow1oN7uFhHL3tTUT6ffSBi4S43XzgQHAR5fTZds8v5wJS959jJYuKo4c783VWKnKDjS5Yiqthncm7ZX2v4ixsT9izYwgTDPBdZ3P2cx",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "b7e96cbdd6e7966599674235af02e0b8530302a84cdfc6fcfc2d24f756cf9b13",
      "transactionId": "98995a71d89f7bfaf7953eb4e54a1d89317d7bc4bdc8bf438c717696775d3bcf",
      "blockId": "6a89972955d095962b3d46023e23601d3288468954b52be7d47f13cb9d1a488d",
      "value": 249000000,
      "index": 0,
      "globalIndex": 9557546,
      "creationHeight": 618030,
      "settlementHeight": 618032,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(205e05,66a7ac,...)))\n1: 1\n2: 1\n3: 1\n4: 0\n5: 0\n6: 1000000\n7: 0\n8: 0\n9: 0",
      "ergoTreeScript": "{\n  val coll1 = Coll[SigmaProp](placeholder[SigmaProp](0))\n  val i2 = placeholder[Int](1)\n  atLeast(placeholder[Int](2), coll1) && sigmaProp(\n    (\n      (\n        (\n          ((INPUTS.size == placeholder[Int](3)) && INPUTS.forall({(box3: Box) => box3.propositionBytes == SELF.propositionBytes })) && INPUTS.forall(\n            {(box3: Box) =>\n              ((box3.R4[Coll[(SigmaProp, Long)]].isDefined && box3.R5[Long].isDefined) && box3.R6[SigmaProp].isDefined) && box3.R7[Coll[Byte]].isDefined\n            }\n          )\n        ) && coll1.forall({(prop3: SigmaProp) => INPUTS.exists({(box5: Box) => box5.R6[SigmaProp].get == prop3 }) })\n      ) && coll1.forall(\n        {(prop3: SigmaProp) =>\n          OUTPUTS.exists(\n            {(box5: Box) =>\n              (\n                {(prop7: SigmaProp) =>\n                  coll1.map(\n                    {(prop9: SigmaProp) =>\n                      (\n                        prop9, {(l11: Long) =>\n                          l11 * INPUTS.fold(placeholder[Long](4), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value }) / INPUTS.fold(\n                            placeholder[Long](5), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.R5[Long].get }\n                          ) / i2.toLong - placeholder[Long](6) / i2.toLong\n                        }(\n                          INPUTS.map(\n                            {(box11: Box) =>\n                              box11.R4[Coll[(SigmaProp, Long)]].get.filter({(tuple13: (SigmaProp, Long)) => tuple13._1 == prop9 })(placeholder[Int](7))\n                            }\n                          ).fold(placeholder[Long](8), {(tuple11: (Long, (SigmaProp, Long))) => tuple11._1 + tuple11._2._2 }) / i2.toLong\n                        )\n                      )\n                    }\n                  ).filter({(tuple9: (SigmaProp, Long)) => tuple9._1 == prop7 })(placeholder[Int](9))._2\n                }(prop3) == box5.value\n              ) && (box5.propositionBytes == prop3.propBytes)\n            }\n          )\n        }\n      )\n    ) && INPUTS.filter({(box3: Box) => box3.id != SELF.id }).forall({(box3: Box) => SELF.R7[Coll[Byte]].get != box3.R7[Coll[Byte]].get })\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0c440502cd0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d9477e2a501cd0281526d5d0d574061b2e16a4c8da6e44e9e3abc48509b0d27a3e982af59c4f6ccf60a",
          "sigmaType": "Coll[(SSigmaProp, SLong)]",
          "renderedValue": "[[0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d9477,10609],[0281526d5d0d574061b2e16a4c8da6e44e9e3abc48509b0d27a3e982af59c4f6cc,699]]"
        },
        "R5": {
          "serializedValue": "05d8b001",
          "sigmaType": "SLong",
          "renderedValue": "11308"
        },
        "R6": {
          "serializedValue": "08cd0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d9477",
          "sigmaType": "SSigmaProp",
          "renderedValue": "0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d9477"
        },
        "R7": {
          "serializedValue": "0e2093f50ca776844e89a9463ed4d9cac02faf2afc6fe55843f34b6839167a21f7f0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "93f50ca776844e89a9463ed4d9cac02faf2afc6fe55843f34b6839167a21f7f0"
        }
      },
      "spentTransactionId": "5b60ad2f07fa84beae1cea3efe8963a5e00417aba97ef11699e0f8aba9d43998",
      "mainChain": true
    },
    {
      "boxId": "43586633567c0dc91965e882a4d9c00f1f64c5be6b2f5468c4fd1c0df87ae42c",
      "transactionId": "98995a71d89f7bfaf7953eb4e54a1d89317d7bc4bdc8bf438c717696775d3bcf",
      "blockId": "6a89972955d095962b3d46023e23601d3288468954b52be7d47f13cb9d1a488d",
      "value": 1000000,
      "index": 1,
      "globalIndex": 9557547,
      "creationHeight": 618030,
      "settlementHeight": 618032,
      "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": "827eeca47ee27a31057c3f8d9d42d23b85d01cc4f2b8da500a2af64c882008cb",
      "mainChain": true
    },
    {
      "boxId": "1819b890bc9e53c0551543167a973f28a776fead02a591bc5806b4d9759ee246",
      "transactionId": "98995a71d89f7bfaf7953eb4e54a1d89317d7bc4bdc8bf438c717696775d3bcf",
      "blockId": "6a89972955d095962b3d46023e23601d3288468954b52be7d47f13cb9d1a488d",
      "value": 169029012,
      "index": 2,
      "globalIndex": 9557548,
      "creationHeight": 618030,
      "settlementHeight": 618032,
      "ergoTree": "100808cd0200205e052506a4bc22dd580b721bfa994fe954ada92e8e9469636b47f57d947704000402040005000580a8d6b90704060101d807d6018301087300d602b2a5730100d603c67202040c4405d604c672020505d605c672020608d60696830401e67203e67204e67205e6c67202070ed607e47203ea02ea029873027201ea02d17206b2b57201d9010808937208e47205730300d1ededed7206af7201d9010808ae7207d9010a4405938c720a017208ed720693b072077304d901084144059a8c7208018c8c72080202e472049592c1a77305ed93b1a57306aea5d901086393c27208c2a77307",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(205e05,66a7ac,...)))\n1: 0\n2: 1\n3: 0\n4: 0\n5: 1000000000\n6: 3\n7: true",
      "ergoTreeScript": "{\n  val coll1 = Coll[SigmaProp](placeholder[SigmaProp](0))\n  val box2 = OUTPUTS(placeholder[Int](1))\n  val opt3 = box2.R4[Coll[(SigmaProp, Long)]]\n  val opt4 = box2.R5[Long]\n  val opt5 = box2.R6[SigmaProp]\n  val bool6 = allOf(Coll[Boolean](opt3.isDefined, opt4.isDefined, opt5.isDefined, box2.R7[Coll[Byte]].isDefined))\n  val coll7 = opt3.get\n  atLeast(placeholder[Int](2), coll1) && sigmaProp(bool6) && coll1.filter({(prop8: SigmaProp) => prop8 == opt5.get })(placeholder[Int](3)) && sigmaProp(\n    (\n      (bool6 && coll1.forall({(prop8: SigmaProp) => coll7.exists({(tuple10: (SigmaProp, Long)) => tuple10._1 == prop8 }) })) && (\n        bool6 && (coll7.fold(placeholder[Long](4), {(tuple8: (Long, (SigmaProp, Long))) => tuple8._1 + tuple8._2._2 }) == opt4.get)\n      )\n    ) && if (SELF.value >= placeholder[Long](5)) {\n      (OUTPUTS.size == placeholder[Int](6)) && OUTPUTS.exists({(box8: Box) => box8.propositionBytes == SELF.propositionBytes })\n    } else { placeholder[Boolean](7) }\n  )\n}",
      "address": "4QwZqZXbEN4dUnRgDsbC7TKTFexwRftYc25H48AdgXqBmwxctCvEJA1SaGL2UjGoHdQwgY3Qex4ixWLEBjULoGX4HkJCuH3wdpSHWQnPVfWfNyzqcW89MEtLM144YdLzXFVenrYq3QXWPQbDZmcDk1dFBdSyTGf9P8ojTMHa8zaMzVcPjXZ9hKqHADvSEN9iJf7AJQhN37FHrvsv7vAkWMnwc1tLzAUow1oN7uFhHL3tTUT6ffSBi4S43XzgQHAR5fTZds8v5wJS959jJYuKo4c783VWKnKDjS5Yiqthncm7ZX2v4ixsT9izYwgTDPBdZ3P2cx",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "5b60ad2f07fa84beae1cea3efe8963a5e00417aba97ef11699e0f8aba9d43998",
      "mainChain": true
    }
  ],
  "size": 1010,
  "isUnconfirmed": false
}