Ad
Inputs (12)
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1.98 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.00726 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.02089039 ERG
Spent in transaction:
Settlement height:
Value:
1.96 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 3.34 KB
Received time: 1/2/2026 01:46:46 PM
Included in blocks: 1,691,063
Confirmations: 74,731
Total coins transferred: 1.99 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000585 ERG
Raw Transaction Data
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  "numConfirmations": 74731,
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      ],
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  ],
  "dataInputs": [],
  "outputs": [
    {
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      "transactionId": "2b533ed22ca6c8b4aa38c46d699f639f97276dbf0bc388ad7e81d5dfa70f8fd1",
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      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(2254e3,689f33,...)))\n1: 0\n2: 2\n3: 3\n4: 1\n5: 1000000000000000000\n6: 993256059866037496\n7: 0\n8: 0\n9: Coll(-22,109,44,-17,-15,86,90,-64,98,-53,38,15,85,-113,30,-44,-110,-36,-40,5,-36,-40,63,-47,-20,-81,14,4,7,-56,-15,-1)\n10: 889687613\n11: 997\n12: CBigInt(1)\n13: 2\n14: 1000\n15: 997\n16: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n17: 0\n18: 0\n19: 2000000\n20: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n      val coll3 = box2.tokens\n      val box4 = OUTPUTS(placeholder[Int](4))\n      val bi5 = box4.value - SELF.value.toBigInt * placeholder[Long](5).toBigInt / placeholder[Long](6).toBigInt\n      val l6 = SELF.tokens(placeholder[Int](7))._2\n      ((((coll3(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9)) && (box4.propositionBytes == prop1.propBytes)) && (bi5 >= placeholder[Long](10).toBigInt)) && (box2.value.toBigInt * l6.toBigInt * placeholder[Int](11).toBigInt <= bi5 + placeholder[BigInt](12) * coll3(placeholder[Int](13))._2.toBigInt * placeholder[Int](14).toBigInt + l6 * placeholder[Int](15).toLong.toBigInt)) && (OUTPUTS.map({(box7: Box) => if (box7.propositionBytes == placeholder[Coll[Byte]](16)) { box7.value } else { placeholder[Long](17) } }).fold(placeholder[Long](18), {(tuple7: (Long, Long)) => tuple7._1 + tuple7._2 }) <= placeholder[Long](19))\n    )} else { placeholder[Boolean](20) })\n}",
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        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "281bb01d4b08e550e8b2e35b9a5f19cd70a64c77c832f0300529ed67bc549af1",
      "mainChain": true
    },
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      "value": 20890390,
      "index": 1,
      "globalIndex": 52696949,
      "creationHeight": 1691062,
      "settlementHeight": 1691063,
      "ergoTree": "0008cd02eb7b8f3be9f59f23041dd7e67525b1d9279b79debf831ce0f45dc5ba3ab305e8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eb7b8f,f6d3bc,...)))}",
      "address": "9gJmbx26h3GhArB9TcYfaKpHFE4zoBtXziyLjWdpgb75wQm75pB",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2254e3,689f33,...)))}",
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      "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": "1f167155b3f09a6c6ae612d9d8b6b771ffcbe19757813d72eb4164ddd538513b",
      "mainChain": true
    }
  ],
  "size": 3421,
  "isUnconfirmed": false
}