Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.210001439 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
161.74 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
160.01 ERG
Spent in transaction:
Settlement height:
Value:
1.94 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.62 KB
Received time: 9/9/2022 12:14:40 AM
Included in blocks: 834,635
Confirmations: 935,255
Total coins transferred: 161.95 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000745 ERG
Raw Transaction Data
{
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  "blockId": "f0a780ca8d52c5320b1e0b238290186797866ada77878e5e74b34e7a1ae03282",
  "inclusionHeight": 834635,
  "timestamp": 1662682480916,
  "index": 2,
  "globalIndex": 3965062,
  "numConfirmations": 935255,
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      "spendingProof": "d79ff23906f374a0a886b2a5fb3e89f514bc90bc42bf89e5bbd86841401e84d2fe7af3c650bd9cb0a3e69f7e39fe00dd98a9bf8853a3adae",
      "outputBlockId": "78a3cc2e3891e7b70e9b3dc9e08dd8b55af6d8c3803ef3837d3e4a8e41797701",
      "outputTransactionId": "4b077fc8d79a58cd3fedb34bacde83a89db752d258b9b38875bbe044bdd8ad33",
      "outputIndex": 1,
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      "outputCreatedAt": 834201,
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      "ergoTree": "0008cd03732d5b09a6745dd6a2c5566b6a9317e6cb673665433c38d1dfe03a3a0ec58e56",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(732d5b,21e635,...)))}",
      "address": "9hLXjjmubevZhWf4T45yj7LLecWrQDLqXwT7he9aMQyJjfaEguK",
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    {
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(732d5b,21e635,...)))}",
      "address": "9hLXjjmubevZhWf4T45yj7LLecWrQDLqXwT7he9aMQyJjfaEguK",
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  "dataInputs": [],
  "outputs": [
    {
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      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(732d5b,21e635,...)))\n1: 0\n2: 160000000000\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: 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)\n9: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\n10: 74124983011\n11: 80944369310811\n12: 1000000000000000000\n13: 2\n14: 996\n15: CBigInt(1)\n16: 1000\n17: 160000000000\n18: 996\n19: 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)\n20: 0\n21: 0\n22: 2000000\n23: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  val l3 = placeholder[Long](2)\n  prop1 || sigmaProp(if ((INPUTS.size == placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n      val coll4 = box2.tokens\n      val box5 = OUTPUTS(placeholder[Int](5))\n      val tuple6 = box5.tokens(placeholder[Int](6))\n      val bi7 = tuple6._2.toBigInt\n      ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n    )} else { placeholder[Boolean](23) })\n}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "1a2657b025416e7ca2244a9368a621cc840d64daac9749e98159a69057b5244c",
      "mainChain": true
    },
    {
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      "transactionId": "6e9cadb218706c3e19a1d4282344478dc3b174d63b889b5e5670dd6d8498137d",
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      "value": 1940435035,
      "index": 1,
      "globalIndex": 21374942,
      "creationHeight": 834633,
      "settlementHeight": 834635,
      "ergoTree": "0008cd03732d5b09a6745dd6a2c5566b6a9317e6cb673665433c38d1dfe03a3a0ec58e56",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(732d5b,21e635,...)))}",
      "address": "9hLXjjmubevZhWf4T45yj7LLecWrQDLqXwT7he9aMQyJjfaEguK",
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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": "2599b6150d0ee444392f0a781b4fed8f8c4c2ab58c8465e13766bad8bd507f80",
      "mainChain": true
    }
  ],
  "size": 2685,
  "isUnconfirmed": false
}