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Transaction

2/6/2026 10:28:10 PM
ID: 3b911cda6f...8ba9
Inputs (2)
#0
0523d29b3329...784a
Spent
Address:
9Sys4BsHFyDg...NeCH
Output transaction:
5b91442b8897...4977
Settlement height:
1,715,491
Value:
0.1 ERG
#1
a44033cdc54d...dc71
Spent
Address:
37PkXfhYtqtp...V3wL
Output transaction:
5b91442b8897...4977
Settlement height:
1,715,491
Value:
0.738544145 ERG
Outputs (2)
#0
45ea6dbb6b2b...4022
Spent
Address:
9fbzAZAQaunt...FGfN
Spent in transaction:
91678d94e605...7d3f
Settlement height:
1,716,339
Value:
0.836544145 ERG
#1
f5ce68bf6bb7...fccf
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
8237cd2cf246...33a9
Settlement height:
1,716,339
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 261 B
Received time: 2/6/2026 10:28:10 PM
Included in blocks: 1,716,339
Confirmations: 55,474
Total coins transferred: 0.838544145 ERG
Fees: 0.002 ERG
Fees per byte: 0.000007663 ERG
Raw Transaction Data
{
  "id": "3b911cda6ffd357ab30c5cde19fbc6c0baad5fd85d617d25a84efc657f9d8ba9",
  "blockId": "b7ee124c8bf9ecdc8843d986a766560638d5a191bec27bb509f1daf8b121a2b6",
  "inclusionHeight": 1716339,
  "timestamp": 1770416890293,
  "index": 2,
  "globalIndex": 10263698,
  "numConfirmations": 55474,
  "inputs": [
    {
      "boxId": "0523d29b3329d7cab3bbdb024d47a31c117cb6d5d9b031b450817ad2e3f8784a",
      "value": 100000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "e22e29f6bd50dc4fdaf95a0c8c0b7468341bf5f90dca4373b9c8f8a7c619df16",
      "outputTransactionId": "5b91442b8897e41f9cc7812301e5222a7a2b108428516655f8be80bcab074977",
      "outputIndex": 0,
      "outputGlobalIndex": 53405986,
      "outputCreatedAt": 1715490,
      "outputSettledAt": 1715491,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(0,8,-51,2,-114,-31,1,-100,-88,53,55,-55,91,-65,-77,-45,90,-6,-60,-63,103,-112,-45,-15,89,123,-41,91,103,-28,82,-76,-16,-46,-53,99)\n1: GroupElement(ECPoint(8ee101,cddaf3,...))",
      "ergoTreeScript": "{\n  val i1 = getVar[Int](0.toByte).get\n  val i2 = getVar[Int](1.toByte).get\n  val coll3 = placeholder[Coll[Byte]](0)\n  val i4 = getVar[Int](2.toByte).get\n  if (i1 == 0) {(\n    val box5 = OUTPUTS(i2)\n    sigmaProp(\n      ((box5.propositionBytes == coll3) && (box5.value >= SELF.value)) && SELF.tokens.forall(\n        {(tuple6: (Coll[Byte], Long)) => box5.tokens.exists({(tuple8: (Coll[Byte], Long)) => (tuple8._1 == tuple6._1) && (tuple8._2 >= tuple6._2) }) }\n      )\n    ) && proveDlog(placeholder[GroupElement](1))\n  )} else { sigmaProp(false) } || if (i1 == 1) {(\n    val l5 = SELF.R6[Coll[Long]].get(3)\n    val box6 = OUTPUTS(i2)\n    sigmaProp(\n      ((((l5 > 0L) && (HEIGHT.toLong >= l5)) && (box6.propositionBytes == coll3)) && (box6.value >= SELF.value)) && SELF.tokens.forall(\n        {(tuple7: (Coll[Byte], Long)) => box6.tokens.exists({(tuple9: (Coll[Byte], Long)) => (tuple9._1 == tuple7._1) && (tuple9._2 >= tuple7._2) }) }\n      )\n    )\n  )} else { sigmaProp(false) } || if (i1 == 2) {(\n    val coll5 = SELF.R6[Coll[Long]].get\n    val l6 = coll5(0)\n    val l7 = coll5(1)\n    val coll8 = SELF.R8[Coll[Coll[Byte]]].get\n    val coll9 = coll8(1)\n    val box10 = OUTPUTS(i2)\n    val bool11 = i4 >= 0\n    val coll12 = coll8(0)\n    val bool13 = coll12.size == 0\n    val func14 = {(box14: Box) =>\n      val coll16 = box14.tokens.filter({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll12 })\n      if (coll16.size > 0) { coll16(0)._2 } else { 0L }\n    }\n    val l15 = if (bool13) { SELF.value } else { func14(SELF) }\n    val l16 = if (bool11) {(\n      val box16 = OUTPUTS(i4)\n      if (bool13) { box16.value } else { func14(box16) }\n    )} else { 0L }\n    val l17 = if (bool11) { l15 - l16 } else { l15 }\n    val l18 = coll5(2)\n    val box19 = SELF.R5[Box].get\n    val coll20 = Coll[GroupElement]()\n    val coll21 = SELF.R7[Coll[GroupElement]].getOrElse(coll20)\n    val opt22 = box10.R4[Coll[Byte]]\n    sigmaProp(((((((((l6 > 0L) && (l7 > 0L)) && (if (coll9.size == 0) { box10.value } else {(\n                      val coll23 = box10.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll9 })\n                      if (coll23.size > 0) { coll23(0)._2 } else { 0L }\n                    )} * l7 >= l17 * l6)) && (l17 >= l18)) && if (bool11) {(\n                val box23 = OUTPUTS(i4)\n                val l24 = l15 - l16\n                val coll25 = box23.R6[Coll[Long]].get\n                ((((((((((box23.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get) && (box23.propositionBytes == SELF.propositionBytes)) && (l16 >= l18)) && ((l24 > 0L) && (l24 <= l15))) && (coll25(0) == l6)) && (coll25(1) == l7)) && (coll25(2) == l18)) && (coll25(3) == coll5(3))) && (box23.R5[Box].get.propositionBytes == box19.propositionBytes)) && (box23.R7[Coll[GroupElement]].getOrElse(coll20) == coll21)) && (box23.R8[Coll[Coll[Byte]]].get == coll8)\n              )} else { true }) && (box10.propositionBytes == box19.propositionBytes)) && (opt22.isDefined && (opt22.get == SELF.id))) && if (bool13) { true } else { if (bool11) {(\n            val coll23 = OUTPUTS(i4).tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll12 })\n            if (coll23.size > 0) { coll23(0)._2 } else { 0L } == l15 - l17\n          )} else { l17 == l15 } }) && if (bool13) { true } else { if (bool11) { OUTPUTS(i4).value >= SELF.value } else { box10.value >= 1000000L } }) && if (coll21.size == 0) {\n      sigmaProp(true)\n    } else { proveDlog(coll21(getVar[Int](3.toByte).get)) }\n  )} else { sigmaProp(false) }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "63c0843d0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63a2da680000000000000000000000000000000000000000000000000000000000000000000000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R6": {
          "serializedValue": "110780dac40980a8d6b90700e4bfd101a2b79d99058092f40180e89226",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000,1000000000,0,1716210,697544145,2000000,40000000]"
        },
        "R8": {
          "serializedValue": "1a03002000b42b41cb438c41d0139aa8432eb5eeb70d5a02d3df891f880d5fe08670c365240008cd03ec895c149fe98ace309a5b7d7cce444afb3a81e8d3b9028c6db5e049ae62d164",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[,00b42b41cb438c41d0139aa8432eb5eeb70d5a02d3df891f880d5fe08670c365,0008cd03ec895c149fe98ace309a5b7d7cce444afb3a81e8d3b9028c6db5e049ae62d164]"
        },
        "R7": {
          "serializedValue": "1a012103ec895c149fe98ace309a5b7d7cce444afb3a81e8d3b9028c6db5e049ae62d164",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[03ec895c149fe98ace309a5b7d7cce444afb3a81e8d3b9028c6db5e049ae62d164]"
        },
        "R4": {
          "serializedValue": "0e2087d2835e74898baf1d8faa960a31bccf78e3259e74945bcf8e9f51157467da16",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "87d2835e74898baf1d8faa960a31bccf78e3259e74945bcf8e9f51157467da16"
        }
      }
    },
    {
      "boxId": "a44033cdc54d5654a9f6e31469cdaf8351e1f6331feeb04a2d517f87b8f9dc71",
      "value": 738544145,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "e22e29f6bd50dc4fdaf95a0c8c0b7468341bf5f90dca4373b9c8f8a7c619df16",
      "outputTransactionId": "5b91442b8897e41f9cc7812301e5222a7a2b108428516655f8be80bcab074977",
      "outputIndex": 1,
      "outputGlobalIndex": 53405987,
      "outputCreatedAt": 1715490,
      "outputSettledAt": 1715491,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(-121,-36,-96,105,-57,-4,-60,-35,-119,1,1,-22,111,3,-65,-59,-89,-15,0,-72,-69,11,32,-118,36,-97,-75,-102,56,97,-9,15)\n1: Coll(0,8,-51,2,-114,-31,1,-100,-88,53,55,-55,91,-65,-77,-45,90,-6,-60,-63,103,-112,-45,-15,89,123,-41,91,103,-28,82,-76,-16,-46,-53,99)",
      "ergoTreeScript": "{\n  val i1 = getVar[Int](0.toByte).get\n  val i2 = getVar[Int](2.toByte).get\n  val i3 = getVar[Int](5.toByte).get\n  val bool4 = ((i2 < 0) && (i3 < 0)) || ((i2 >= 0) && (i3 >= 0))\n  val box5 = INPUTS(getVar[Int](4.toByte).get)\n  val bool6 = (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](0)) && (box5.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n  val bool7 = i1 == 2\n  val coll8 = box5.R8[Coll[Coll[Byte]]].get\n  val coll9 = coll8(1)\n  val box10 = OUTPUTS(getVar[Int](1.toByte).get)\n  val coll11 = coll8(0)\n  val bool12 = if (bool7) {\n    if (coll9.size == 0) { box10.value > 0L } else { box10.tokens.exists({(tuple12: (Coll[Byte], Long)) => tuple12._1 == coll9 }) }\n  } else { if (coll11.size == 0) { true } else { box10.tokens.exists({(tuple12: (Coll[Byte], Long)) => tuple12._1 == coll11 }) } }\n  if ((i1 == 0) || (i1 == 1)) {(\n    val l13 = SELF.value\n    val l14 = SELF.R5[Coll[Long]].get(1)\n    sigmaProp(\n      (\n        (((bool6 && bool4) && bool12) && (box10.propositionBytes == placeholder[Coll[Byte]](1))) && ((l13 >= l14) && (box10.value >= l13 - l14))\n      ) && SELF.tokens.forall(\n        {(tuple15: (Coll[Byte], Long)) => box10.tokens.exists({(tuple17: (Coll[Byte], Long)) => (tuple17._1 == tuple15._1) && (tuple17._2 >= tuple15._2) }) }\n      )\n    )\n  )} else { sigmaProp(false) } || if (bool7) {(\n    val coll13 = Coll[Byte]()\n    val coll14 = SELF.R6[Coll[Byte]].getOrElse(coll13)\n    val bool15 = coll14.size == 0\n    val box16 = OUTPUTS(getVar[Int](3.toByte).get)\n    val coll17 = SELF.R5[Coll[Long]].get\n    val l18 = coll17(0)\n    val bool19 = coll11.size == 0\n    val func20 = {(box20: Box) =>\n      val coll22 = box20.tokens.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll11 })\n      if (coll22.size > 0) { coll22(0)._2 } else { 0L }\n    }\n    val l21 = if (bool19) { box5.value } else { func20(box5) }\n    val bool22 = i2 >= 0\n    val l23 = l18 * l21 - if (bool22) {(\n      val box23 = OUTPUTS(i3)\n      if (bool19) { box23.value } else { func20(box23) }\n    )} else { 0L } / l21\n    val l24 = l18 - l23\n    val l25 = coll17(1)\n    val l26 = coll17(2)\n    sigmaProp(\n      (\n        (\n          ((bool6 && bool4) && bool12) && if (bool15) { box16.value >= l23 } else {\n            box16.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll14) && (tuple27._2 >= l23) })\n          }\n        ) && if (bool22) {(\n          val box27 = OUTPUTS(i2)\n          val coll28 = box27.R5[Coll[Long]].get\n          (\n            (\n              (((box27.propositionBytes == SELF.propositionBytes) && (box27.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (coll28(0) == l24)) && (\n                coll28(1) == l25\n              )\n            ) && ((l26 >= l25) && (coll28(2) == l26 - l25))\n          ) && (box27.R6[Coll[Byte]].getOrElse(coll13) == coll14)\n        )} else { true }\n      ) && if (bool22) { OUTPUTS(i2).value >= if (bool15) { l24 + l26 - l25 } else { l26 - l25 } } else { true }\n    )\n  )} else { sigmaProp(false) }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2087d2835e74898baf1d8faa960a31bccf78e3259e74945bcf8e9f51157467da16",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "87d2835e74898baf1d8faa960a31bccf78e3259e74945bcf8e9f51157467da16"
        },
        "R5": {
          "serializedValue": "1103a2b79d99058092f40180e89226",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[697544145,2000000,40000000]"
        },
        "R6": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "45ea6dbb6b2bd7a11d54ceab5ed5229c68e331481ec742d9df09b645dfa74022",
      "transactionId": "3b911cda6ffd357ab30c5cde19fbc6c0baad5fd85d617d25a84efc657f9d8ba9",
      "blockId": "b7ee124c8bf9ecdc8843d986a766560638d5a191bec27bb509f1daf8b121a2b6",
      "value": 836544145,
      "index": 0,
      "globalIndex": 53431250,
      "creationHeight": 1716337,
      "settlementHeight": 1716339,
      "ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
      "address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "91678d94e605d52645efbd932669fd6fd95192eaad5188b54527aaba612e7d3f",
      "mainChain": true
    },
    {
      "boxId": "f5ce68bf6bb7f77ad313f1a432caa2a84be24f09b1796ac933ff636fd50ffccf",
      "transactionId": "3b911cda6ffd357ab30c5cde19fbc6c0baad5fd85d617d25a84efc657f9d8ba9",
      "blockId": "b7ee124c8bf9ecdc8843d986a766560638d5a191bec27bb509f1daf8b121a2b6",
      "value": 2000000,
      "index": 1,
      "globalIndex": 53431251,
      "creationHeight": 1716337,
      "settlementHeight": 1716339,
      "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": "8237cd2cf24663183a0049fd3fbfaf58ba9305a9fe58a5c5f081a5ff166f33a9",
      "mainChain": true
    }
  ],
  "size": 261,
  "isUnconfirmed": false
}