Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
43.76 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
10.95 ERG
Tokens:
0
Spent in transaction:
Settlement height:
Value:
0.140186915 ERG
Spent in transaction:
Settlement height:
Value:
32.67 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.57 KB
Received time: 3/9/2024 04:47:31 PM
Included in blocks: 1,217,211
Confirmations: 551,601
Total coins transferred: 43.76 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000076 ERG
Raw Transaction Data
{
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  "blockId": "e9ba51ae4e8d73bd4df2ef8808e600af3a07f840d55c0c1385b8e32bd4ee1f91",
  "inclusionHeight": 1217211,
  "timestamp": 1710002851781,
  "index": 2,
  "globalIndex": 6785787,
  "numConfirmations": 551601,
  "inputs": [
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      "spendingProof": "788886c41ffc4fb2d431fb02d43fd99b732045a8a6c9a2eefef9aebfe06f112ea9f5cfa74667e668624449410ba0c0f04b6f6a5f72346616",
      "outputBlockId": "e2c73b4bf1b4a792fe9179d0e1c02d57088c4d8e88ddc809e46b685a253d9ef2",
      "outputTransactionId": "f38d8ec2b53848cb40d1dc4fce519a77a15462e47197af09a25eaaa75c814717",
      "outputIndex": 2,
      "outputGlobalIndex": 37794885,
      "outputCreatedAt": 1217199,
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      "ergoTree": "0008cd0240edf46dcf60583c22cea53f6072381c0178dd169099e772cf01a618bbb010a1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(40edf4,1bad20,...)))}",
      "address": "9f1f3yyp6WYroJEAAVEaT1pvVr5D4VreZwBjAcAPBVDoRP6jAaG",
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  "dataInputs": [],
  "outputs": [
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      "ergoTreeConstants": "0: 0\n1: 1000000000000000000\n2: 998825232122691432\n3: 10950000000\n4: 997\n5: SigmaProp(ProveDlog(ECPoint(40edf4,1bad20,...)))\n6: 2\n7: 3\n8: 1\n9: 0\n10: false\n11: 205005\n12: 0\n13: Coll(-110,-79,96,15,0,27,63,3,-41,21,45,125,-87,14,-66,107,70,-4,67,-19,-39,-13,37,-83,-65,22,119,-76,67,82,13,-53)\n14: Coll(0,8,-51,2,64,-19,-12,109,-49,96,88,60,34,-50,-91,63,96,114,56,28,1,120,-35,22,-112,-103,-25,114,-49,1,-90,24,-69,-80,16,-95)\n15: Coll(24,-55,56,-31,-110,79,-61,-22,-36,38,110,117,-20,2,-40,31,-25,59,86,-28,-23,-12,-30,104,-33,-1,-4,-77,3,-121,-60,45)\n16: 145422771\n17: true\n18: true\n19: 1400\n20: CBigInt(0)\n21: 2\n22: 1\n23: 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)\n24: true\n25: 2\n26: CBigInt(1)\n27: 1000\n28: 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)\n29: 0\n30: 0\n31: 2000000\n32: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val l2 = placeholder[Long](1)\n  val l3 = placeholder[Long](2)\n  val l4 = placeholder[Long](3) * placeholder[Int](4).toLong\n  placeholder[SigmaProp](5) || sigmaProp(if ((INPUTS.size >= placeholder[Int](6)) && (box1.tokens.size == placeholder[Int](7))) {(\n      val coll5 = box1.tokens\n      val box6 = OUTPUTS(placeholder[Int](8))\n      val coll7 = box6.tokens\n      val tuple8 = coll7(placeholder[Int](9))\n      val l9 = tuple8._2\n      val bi10 = if (placeholder[Boolean](10)) { l9 - placeholder[Long](11).toBigInt * l2.toBigInt / l3.toBigInt } else { l9.toBigInt }\n      ((((((coll5(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)) && (box6.propositionBytes == placeholder[Coll[Byte]](14))) && (tuple8._1 == placeholder[Coll[Byte]](15))) && (bi10 >= placeholder[Long](16).toBigInt)) && if (placeholder[Boolean](17)) { placeholder[Boolean](18) } else {(\n            val bi11 = placeholder[Long](19).toBigInt - bi10 * l3.toBigInt / l2.toBigInt\n            if ((bi11 > placeholder[BigInt](20)) && (coll7.size >= placeholder[Int](21))) {(\n              val tuple12 = coll7(placeholder[Int](22))\n              (tuple12._1 == placeholder[Coll[Byte]](23)) && (tuple12._2.toBigInt >= bi11)\n            )} else { placeholder[Boolean](24) }\n          )}) && (coll5(placeholder[Int](25))._2.toBigInt * l4.toBigInt <= bi10 + placeholder[BigInt](26) * box1.value.toBigInt * placeholder[Int](27).toBigInt + l4.toBigInt)) && (OUTPUTS.map({(box11: Box) => if (box11.propositionBytes == placeholder[Coll[Byte]](28)) { box11.value } else { placeholder[Long](29) } }).fold(placeholder[Long](30), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) <= placeholder[Long](31))\n    )} else { placeholder[Boolean](32) })\n}",
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      "assets": [
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          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "ce3746b8ffd169028cc88703c958bc193433c816596397895fbd3f754ca9f039",
      "mainChain": true
    },
    {
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      "index": 1,
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      "ergoTree": "0008cd0292ec7342773ca80a40de2a441c231ebf51ed6fa04b3de4627606b74a69b0fa80",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(92ec73,31e79c,...)))}",
      "address": "9fdmUutc4DhcqXAAyQeBTsw49PjEM4vuW9riQCHtXAoGEw3R11d",
      "assets": [],
      "additionalRegisters": {},
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      "mainChain": true
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}