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Inputs (1)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Outputs (1)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 151 B
Received time: 10/20/2022 10:21:02 PM
Included in blocks: 857,100
Confirmations: 914,648
Total coins transferred: 0.001 ERG
Fees: 0.001 ERG
Fees per byte: 0.000006623 ERG
Raw Transaction Data
{
  "id": "4e5c195793920478c3c0e67f8ee4cf96ec8ab0a478fd3ff0832a1d09daef0e8b",
  "blockId": "1c7c96e63d276d5c7548a50d30a385edf21fecfe220dd926ed9bf80588285870",
  "inclusionHeight": 857100,
  "timestamp": 1666304462347,
  "index": 2,
  "globalIndex": 4192518,
  "numConfirmations": 914648,
  "inputs": [
    {
      "boxId": "7969dee293fc6eafdb8033dd9a957b94c6a187b6e58dee30fad6f7bf65169dd6",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "96ea63c8ba2af821f79a506bcfffdbaf8074ab016f7b2c7c19590b486d13e6e2",
      "outputTransactionId": "1ac7980a77505e3a1db5259268339312a9c64cbbb2e3b23b253b8a7b7db45321",
      "outputIndex": 0,
      "outputGlobalIndex": 15363817,
      "outputCreatedAt": 724974,
      "outputSettledAt": 724977,
      "ergoTree": "10040400040004000500d1d801d601e4c6b2a4730000040e938cb2db6308b2a5730100730201860272017303017201",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0",
      "ergoTreeScript": "{sigmaProp(\n  val coll1 = INPUTS(placeholder[Int](0)).R4[Coll[Byte]].get\n  OUTPUTS(placeholder[Int](1)).tokens.getOrElse(placeholder[Int](2), (coll1, placeholder[Long](3)))._1 == coll1\n)}",
      "address": "jdyTiJLXWGgqaTTV6wXUxxuYriV2yVaCsACoMu1z79dfFHtpQgr9LPxJo72Taj26kmsf1E",
      "assets": [
        {
          "tokenId": "d09994b97a4ea2da8fca95a3fcd31546716797e3ca9445391ac14c6a4ad572e0",
          "index": 0,
          "amount": 1,
          "name": "d09994b97a4ea2da8fca95a3fcd31546716797e3ca9445391ac14c6a4ad572e0",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e4064303939393462393761346561326461386663613935613366636433313534363731363739376533636139343435333931616331346336613461643537326530",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "64303939393462393761346561326461386663613935613366636433313534363731363739376533636139343435333931616331346336613461643537326530"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "7c098ed230fe935925dd148ee631139db89e382da4481a9ad114a1cf10b01ee5",
      "transactionId": "4e5c195793920478c3c0e67f8ee4cf96ec8ab0a478fd3ff0832a1d09daef0e8b",
      "blockId": "1c7c96e63d276d5c7548a50d30a385edf21fecfe220dd926ed9bf80588285870",
      "value": 1000000,
      "index": 0,
      "globalIndex": 22775217,
      "creationHeight": 857097,
      "settlementHeight": 857100,
      "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": "a230d8eb2bd05451c0e35c26288ef6f8a715c5473610c736e6c86b983add4880",
      "mainChain": true
    }
  ],
  "size": 151,
  "isUnconfirmed": false
}