Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
1.2 ERG
Outputs (2)
Spent in transaction:
Settlement height:
Value:
1.2 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 197 B
Received time: 4/11/2022 06:03:18 PM
Included in blocks: 725,958
Confirmations: 1,038,766
Total coins transferred: 1.2 ERG
Fees: 0.002 ERG
Fees per byte: 0.000010152 ERG
Raw Transaction Data
{
  "id": "a1b45c5e33971e9bb51b310cfe4b95cfdb99643e2a9873fd8b4f903d032882b1",
  "blockId": "035dcc93e933b799eba7e4195f73c437b21492ac1344ba05fe7b042625076458",
  "inclusionHeight": 725958,
  "timestamp": 1649700198055,
  "index": 11,
  "globalIndex": 2972506,
  "numConfirmations": 1038766,
  "inputs": [
    {
      "boxId": "e7e72b3b3c0b72b11e912631f2f7991ab6c90ac2ebfcdcb99f0fea39f53be216",
      "value": 1201000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "035dcc93e933b799eba7e4195f73c437b21492ac1344ba05fe7b042625076458",
      "outputTransactionId": "de948bb75ba2051e4c8f0eb71f1f774cb23b700ade95e101940cf20887bccb52",
      "outputIndex": 0,
      "outputGlobalIndex": 15423937,
      "outputCreatedAt": 725955,
      "outputSettledAt": 725958,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(b54f91,936c2c,...)))\n1: 0\n2: 1\n3: Coll(-85,53,-55,77,6,-6,-80,76,-18,-122,46,-126,-56,98,-89,-63,-20,-113,-80,85,-37,-112,14,78,63,118,6,60,27,117,-22,-51)\n4: 3\n5: 0\n6: true\n7: 0\n8: 1200000000\n9: 0\n10: 1\n11: Coll()\n12: 1200000000\n13: 0\n14: 2000000\n15: 2\n16: 1649699576675",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = OUTPUTS(placeholder[Int](1))\n  sigmaProp(\n    (\n      (\n        (\n          ((INPUTS(INPUTS.size - placeholder[Int](2)).id == placeholder[Coll[Byte]](3)) && (OUTPUTS.size == placeholder[Int](4))) && (\n            OUTPUTS(placeholder[Int](5)).R5[Coll[Byte]].get == prop1.propBytes\n          )\n        ) && ((placeholder[Boolean](6) && (OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8))) || \n            val tuple3 = OUTPUTS(placeholder[Int](9)).tokens(placeholder[Int](10))\n            (tuple3._1 == placeholder[Coll[Byte]](11)) && (tuple3._2 == placeholder[Long](12))\n          )\n      ) || (\n        (\n          (box2.value >= INPUTS.fold(placeholder[Long](13), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](14)) && (\n            box2.propositionBytes == prop1.propBytes\n          )\n        ) && (OUTPUTS.size == placeholder[Int](15))\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](16))\n  )\n}",
      "address": "568nVPmr81A5kc7QJfvPbtdkhzAMs31Aw8qRqiC24rubV4XeMoSVQvrsbBqsJCbz7hFgGVzyagvvvpFJhZUrev82NrLyX1Wi83ijuVQqP3w5MHg5b7aRagSkMgAsTTCaa1j2z8kj1kNKzkEmLMJcy8PjLffswRTAvmtUMfbtTDa7G6ezBjT8CbhyxijDdxg7AY2eoMfKzXyfawf9xXNZYgHozx36xkhEHw3bqSNd73eB14YzgeSENo5ygihTLTF8G63gondpkFkARfJGRsdcxhf5eP5aMLyrjVyatLxw1y31qKTxdm7FqVaQ6x3abyvHRCiAxZMULp1ri2nJVWp46azaocmHqjKTki1v",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "bf988547cc5b7045a2ca65ac635146115cbed121f5cba101fa58020d60486f04",
      "transactionId": "a1b45c5e33971e9bb51b310cfe4b95cfdb99643e2a9873fd8b4f903d032882b1",
      "blockId": "035dcc93e933b799eba7e4195f73c437b21492ac1344ba05fe7b042625076458",
      "value": 1199000000,
      "index": 0,
      "globalIndex": 15423940,
      "creationHeight": 725956,
      "settlementHeight": 725958,
      "ergoTree": "0008cd02b54f9175a90188b9c4f5755a63be67f234c6bc3acb5298d5871bc952b91eafcc",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b54f91,936c2c,...)))}",
      "address": "9fturdCgqRHp3PJYLv378hk6qcF4uCP29dXf3hbUdpenBXXoBF5",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6fbef61b29271f36a83c1fb3332f87539fa7a0d1d58e5da98eb8667aa57a6dd7",
      "mainChain": true
    },
    {
      "boxId": "6d0572b805bb07d063ef9b8f032aa70aa1cdc78d38e93bee8cff23f0397811f7",
      "transactionId": "a1b45c5e33971e9bb51b310cfe4b95cfdb99643e2a9873fd8b4f903d032882b1",
      "blockId": "035dcc93e933b799eba7e4195f73c437b21492ac1344ba05fe7b042625076458",
      "value": 2000000,
      "index": 1,
      "globalIndex": 15423941,
      "creationHeight": 725956,
      "settlementHeight": 725958,
      "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": "b17a1a8d8f76d94c1a3a6fc5f310900b642fccb66479b53d481e780df6cb8ea3",
      "mainChain": true
    }
  ],
  "size": 197,
  "isUnconfirmed": false
}