Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Output transaction:
Settlement height:
Value:
979.78 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
204.28 ERG
Tokens:
184.13
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
63.15
0
Spent in transaction:
Settlement height:
Value:
0.331282327 ERG
Spent in transaction:
Settlement height:
Value:
1,183.72 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.83 KB
Received time: 10/20/2023 07:36:43 AM
Included in blocks: 1,116,414
Confirmations: 640,943
Total coins transferred: 1,184.06 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000691 ERG
Raw Transaction Data
{
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  "blockId": "a98035b4bdb155987e5e446b3ee98d69bb73046a2e947ac471d63b464b93bdc7",
  "inclusionHeight": 1116414,
  "timestamp": 1697787403202,
  "index": 2,
  "globalIndex": 5988961,
  "numConfirmations": 640943,
  "inputs": [
    {
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      "outputBlockId": "4e69c2101583e4ae291c9fe2723d6dde40a4886b0dd1e51199e70e5f58c23e21",
      "outputTransactionId": "2494d406830d2eeae1fb5d593f9a959eff01ff2272d151cdb78d1db44bceb630",
      "outputIndex": 17,
      "outputGlobalIndex": 33582399,
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      "ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
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    {
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
      "address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
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  "dataInputs": [],
  "outputs": [
    {
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      "ergoTreeConstants": "0: 0\n1: Coll(0,59,-47,-99,1,-121,17,127,19,11,98,-31,-68,-85,9,57,-110,-97,-11,-57,112,-97,-124,60,92,77,-47,88,-108,-110,-123,-48)\n2: 10000000000000000\n3: 6315\n4: 995\n5: 1000\n6: SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))\n7: 2\n8: 4\n9: 1\n10: 0\n11: false\n12: 162912\n13: 2683689196908783\n14: 2\n15: 3\n16: CBigInt(1)\n17: 0\n18: Coll(8,14,69,50,113,-1,77,47,-123,-7,117,105,-80,-105,85,-26,117,55,-65,42,27,-63,-51,9,65,27,69,-100,-7,1,-71,2)\n19: Coll(0,8,-51,2,80,49,-54,5,107,-113,-98,-111,10,-104,121,5,-99,94,-33,39,-89,50,34,-123,-125,42,96,-82,-39,101,93,90,1,20,-90,3)\n20: 185558\n21: false\n22: true\n23: 1400\n24: 78\n25: CBigInt(0)\n26: 2\n27: 1\n28: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n29: true\n30: 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)\n31: 0\n32: 0\n33: 2000000\n34: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val l3 = placeholder[Long](2)\n  val l4 = placeholder[Long](3) * placeholder[Int](4).toLong\n  val i5 = placeholder[Int](5)\n  placeholder[SigmaProp](6) || sigmaProp(if ((INPUTS.size >= placeholder[Int](7)) && (box1.tokens.size == placeholder[Int](8))) {(\n      val coll6 = box1.tokens\n      val box7 = OUTPUTS(placeholder[Int](9))\n      val coll8 = box7.tokens\n      val tuple9 = coll8(placeholder[Int](10))\n      val l10 = tuple9._2\n      val bi11 = if (placeholder[Boolean](11)) { l10 - placeholder[Long](12).toBigInt * l3.toBigInt / placeholder[Long](13).toBigInt } else { l10.toBigInt }\n      val tuple12 = coll6(placeholder[Int](14))\n      val bi13 = tuple12._2.toBigInt\n      val bi14 = coll6(placeholder[Int](15))._2.toBigInt\n      val bi15 = bi11 + placeholder[BigInt](16)\n      (((((((coll6(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18)) && (box7.propositionBytes == placeholder[Coll[Byte]](19))) && (tuple9._1 == coll2)) && (l10 >= placeholder[Long](20))) && (box7.value >= SELF.value)) && if (placeholder[Boolean](21)) { placeholder[Boolean](22) } else {(\n            val bi16 = placeholder[Long](23).toBigInt - bi11 * placeholder[Long](24).toBigInt / l3.toBigInt\n            if ((bi16 > placeholder[BigInt](25)) && (coll8.size >= placeholder[Int](26))) {(\n              val tuple17 = coll8(placeholder[Int](27))\n              (tuple17._1 == placeholder[Coll[Byte]](28)) && (tuple17._2.toBigInt >= bi16)\n            )} else { placeholder[Boolean](29) }\n          )}) && if (tuple12._1 == coll2) { bi13 * l4.toBigInt <= bi15 * bi14 * i5.toBigInt + l4.toBigInt } else { bi14 * l4.toBigInt <= bi15 * bi13 * i5.toBigInt + l4.toBigInt }) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](30)) { box16.value } else { placeholder[Long](31) } }).fold(placeholder[Long](32), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](33))\n    )} else { placeholder[Boolean](34) })\n}",
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      "assets": [
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          "amount": 6315,
          "name": "SigUSD",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
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          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e3db933a7b1866e53460f4e02b3c1ce2456e64d57ebf780bbfe85f017bef4619",
      "mainChain": true
    },
    {
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      "index": 1,
      "globalIndex": 33582721,
      "creationHeight": 1116411,
      "settlementHeight": 1116414,
      "ergoTree": "0008cd0292ec7342773ca80a40de2a441c231ebf51ed6fa04b3de4627606b74a69b0fa80",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(92ec73,31e79c,...)))}",
      "address": "9fdmUutc4DhcqXAAyQeBTsw49PjEM4vuW9riQCHtXAoGEw3R11d",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "872663830659b106d243cdb3e6e3dfe4254a3cd4761021b512ffaaff417c7c8f",
      "mainChain": true
    },
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      "ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
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      "assets": [
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}