Ad
Inputs (13)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
106.78
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
96.15
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
51.17
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
139.30
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
175.51
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
164.30
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
98.70
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
147.39
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
162.01
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
163.00
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
63.87
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
164.98
Output transaction:
Settlement height:
Value:
0.01822 ERG
Tokens:
0
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.00726 ERG
Tokens:
1,533.23
Spent in transaction:
Settlement height:
Value:
0.02096 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 1.78 KB
Received time: 7/7/2022 07:25:34 PM
Included in blocks: 788,073
Confirmations: 967,913
Total coins transferred: 0.03022 ERG
Fees: 0.002 ERG
Fees per byte: 0.0000011 ERG
Raw Transaction Data
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  "inclusionHeight": 788073,
  "timestamp": 1657221934976,
  "index": 15,
  "globalIndex": 3504408,
  "numConfirmations": 967913,
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      "transactionId": "526d12a9783fa3e3d389ee42a9f8dde439ccd7b3b46854088748b44dd91d3f30",
      "blockId": "df60677ec3095641c3ba99a163f9bddc09783bd5838a1116d0857fda1c094cd4",
      "value": 7260000,
      "index": 0,
      "globalIndex": 18801157,
      "creationHeight": 788068,
      "settlementHeight": 788073,
      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(1e890d,244c95,...)))\n1: 0\n2: 2\n3: 3\n4: 1\n5: 100000000000000000\n6: 99869116990343378\n7: 0\n8: 0\n9: Coll(125,46,40,67,16,99,-53,-79,-23,-31,68,104,-6,-52,71,-71,-124,-39,98,83,44,25,-80,-79,79,116,-48,-50,-98,-44,89,-66)\n10: 4584246661\n11: 996\n12: CBigInt(1)\n13: 2\n14: 1000\n15: 996\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}",
      "address": "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",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 1533226655,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "edfbe62c18f468f843e2e0839e2d08517ff5528a2de1d36b16d5dc64341e102b",
      "mainChain": true
    },
    {
      "boxId": "9a00d60d9795a9b3a566f6ccf380937b59a8170a1f7e33d479ffe650a1c35be6",
      "transactionId": "526d12a9783fa3e3d389ee42a9f8dde439ccd7b3b46854088748b44dd91d3f30",
      "blockId": "df60677ec3095641c3ba99a163f9bddc09783bd5838a1116d0857fda1c094cd4",
      "value": 20960000,
      "index": 1,
      "globalIndex": 18801158,
      "creationHeight": 788068,
      "settlementHeight": 788073,
      "ergoTree": "0008cd031e890d51404245e49c84ef14a4a59ffa5619bfade9bbe7412e7822e04f5d255f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1e890d,244c95,...)))}",
      "address": "9ghFgB2bwAyuRn18do2HgUPXaZcwbxfq5WNT9icWjWcSKG78N4z",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "8f2406ce417731c79082a2438a8f172d8c00d252789df0573b126ceb7bf7bfb9",
      "mainChain": true
    },
    {
      "boxId": "56338f2d2ea77759b45bd29571626b4bad27674670feac36beab8b9602618c87",
      "transactionId": "526d12a9783fa3e3d389ee42a9f8dde439ccd7b3b46854088748b44dd91d3f30",
      "blockId": "df60677ec3095641c3ba99a163f9bddc09783bd5838a1116d0857fda1c094cd4",
      "value": 2000000,
      "index": 2,
      "globalIndex": 18801159,
      "creationHeight": 788068,
      "settlementHeight": 788073,
      "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": "1cf725899b74f2c5bab7e2b23c1ed3b7e5eb8e5712f71fc42578c457267f612d",
      "mainChain": true
    }
  ],
  "size": 1819,
  "isUnconfirmed": false
}