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Inputs (5)
Output transaction:
Settlement height:
Value:
1.75 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
3,004,318.74
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
37,273,521
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
93,833,010.94
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
114,226,889.07
468,761.55
Spent in transaction:
Settlement height:
Value:
1.78 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 1.16 KB
Received time: 2/17/2025 09:03:43 PM
Included in blocks: 1,463,671
Confirmations: 313,714
Total coins transferred: 1.79 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000923 ERG
Raw Transaction Data
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  "inclusionHeight": 1463671,
  "timestamp": 1739826223696,
  "index": 2,
  "globalIndex": 8598726,
  "numConfirmations": 313714,
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      "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": "29a64457ae3ebfa902cc1e3107a2c83d7fd479fbcadbc6d86b33d3c1d952cbaf",
      "mainChain": true
    }
  ],
  "size": 1192,
  "isUnconfirmed": false
}