Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.101 ERG
Output transaction:
Settlement height:
Value:
0.01 ERG
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
0.009 ERG
Transaction Details
Status: Confirmed
Size: 446 B
Received time: 3/1/2026 06:52:26 PM
Included in blocks: 1,732,671
Confirmations: 26,484
Total coins transferred: 0.111 ERG
Fees: 0.002 ERG
Fees per byte: 0.000004484 ERG
Raw Transaction Data
{
  "id": "2f6b0bf85bd2a23619f1abc21f650623a48d0ecab76e4643b0534beb44a1b4d4",
  "blockId": "71b687f2ec76c474e95691b39cc6a3d45075aa277e8a0fc48d62c0d05d34a88b",
  "inclusionHeight": 1732671,
  "timestamp": 1772391146198,
  "index": 3,
  "globalIndex": 10380063,
  "numConfirmations": 26484,
  "inputs": [
    {
      "boxId": "a9459b1597130d7a0f76ab9fc7e339546590a1bb98a81935ecd750bdfbe403bd",
      "value": 101000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "ba34341a5ca696baab5fa301bc5535012d0b9963dd01dabe092b46fcfc559138",
      "outputTransactionId": "7d981dd02901b375840893f14486b28e32df7f0853b9f64dcdef2a50c11a1438",
      "outputIndex": 0,
      "outputGlobalIndex": 53867954,
      "outputCreatedAt": 1732010,
      "outputSettledAt": 1732011,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 33\n4: 34\n5: 35\n6: 5\n7: 0\n8: 0\n9: 8\n10: 2\n11: 1\n12: 0\n13: 32\n14: 32\n15: 54\n16: 0\n17: 22\n18: 0\n19: 32\n20: 32\n21: 16777216\n22: 0\n23: 256\n24: 65536\n25: 0\n26: 256\n27: 256\n28: 0\n29: 256\n30: 0\n31: true\n32: 21\n33: 20\n34: 256\n35: 0\n36: 256\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 4\n43: 0\n44: 2\n45: 2\n46: 2\n47: 0\n48: true\n49: 0\n50: 0\n51: 1200000\n52: 3\n53: 4\n54: 4\n55: 0\n56: 0\n57: 2\n58: 3\n59: 2\n60: 11\n61: 2\n62: 0\n63: 32\n64: 0\n65: 32\n66: 1\n67: true\n68: 0\n69: 1\n70: 32\n71: 40\n72: 1\n73: 32\n74: 40\n75: 40\n76: 48\n77: 0\n78: 12",
      "ergoTreeScript": "{\n  val l1 = HEIGHT.toLong\n  val coll2 = SELF.R4[Coll[Long]].get\n  val l3 = coll2(placeholder[Int](0))\n  val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n  val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n  if (l1 < l3) {(\n    val box6 = OUTPUTS(placeholder[Int](1))\n    val coll7 = CONTEXT.dataInputs\n    val box8 = coll7(placeholder[Int](2))\n    val coll9 = getVar[Coll[Byte]](4.toByte).get\n    val i10 = coll4.size\n    val coll11 = getVar[Coll[Byte]](1.toByte).get\n    val coll12 = getVar[Coll[Byte]](5.toByte).get\n    val coll13 = getVar[Coll[Byte]](2.toByte).get\n    val l14 = coll12(placeholder[Int](3)).toLong\n    val l15 = coll12(placeholder[Int](4)).toLong\n    val l16 = coll12(placeholder[Int](5)).toLong\n    val l17 = coll2(placeholder[Int](6))\n    val coll18 = box6.R5[Coll[Coll[Byte]]].get\n    val coll19 = box6.R6[Coll[Coll[Byte]]].get\n    val i20 = coll5.size\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n                                    {(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll9 }\n                                  )\n                                ) && (coll2(placeholder[Int](7)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](8), placeholder[Int](9))))\n                              ) && (i10.toLong < coll2(placeholder[Int](10)))\n                            ) && (coll7(placeholder[Int](11)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n                          ) && (\n                            (coll13.slice(placeholder[Int](12), placeholder[Int](13)) == coll11) && (\n                              coll13.slice(placeholder[Int](14), placeholder[Int](15)) == coll12.slice(placeholder[Int](16), placeholder[Int](17))\n                            )\n                          )\n                        ) && coll4.forall({(coll21: Coll[Byte]) => coll21.slice(placeholder[Int](18), placeholder[Int](19)) != coll11 })\n                      ) && (\n                        l1 >= coll12(placeholder[Int](20)).toLong * placeholder[Long](21) + if (l14 < placeholder[Long](22)) {\n                          l14 + placeholder[Long](23)\n                        } else { l14 } * placeholder[Long](24) + if (l15 < placeholder[Long](25)) { l15 + placeholder[Long](26) } else { l15 } * placeholder[\n                          Long\n                        ](27) + if (l16 < placeholder[Long](28)) { l16 + placeholder[Long](29) } else { l16 }\n                      )\n                    ) && if (l17 == placeholder[Long](30)) { placeholder[Boolean](31) } else {(\n                      val l21 = coll12(placeholder[Int](32)).toLong\n                      val l22 = coll12(placeholder[Int](33)).toLong * placeholder[Long](34) + if (l21 < placeholder[Long](35)) {\n                        l21 + placeholder[Long](36)\n                      } else { l21 }\n                      val coll23 = box8.R9[Coll[Long]].get\n                      val i24 = l17 - placeholder[Long](37) * placeholder[Long](38).toInt\n                      (l22 >= coll23(i24)) && (l22 <= coll23(i24 + placeholder[Int](39)))\n                    )}\n                  ) && (coll18.size == i10 + placeholder[Int](40))\n                ) && (coll18(i10) == coll13)\n              ) && coll4.indices.forall({(i21: Int) => coll18(i21) == coll4(i21) })\n            ) && (coll19.size == i20 + placeholder[Int](41))\n          ) && (coll19(i20) == getVar[Coll[Byte]](3.toByte).get)\n        ) && coll5.indices.forall({(i21: Int) => coll19(i21) == coll5(i21) })\n      ) && (box6.value >= SELF.value + coll2(placeholder[Int](42)))\n    )\n  )} else {(\n    val i6 = getVar[Int](1.toByte).get\n    val box7 = CONTEXT.dataInputs(placeholder[Int](43))\n    val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n    val coll9 = box7.R4[Coll[Long]].get\n    sigmaProp(if (i6 == placeholder[Int](44)) {(\n        val i10 = coll4.size\n        ((bool8 && (l1 >= l3 + placeholder[Long](45))) && (i10 < placeholder[Int](46))) && if (i10 == placeholder[Int](47)) { placeholder[Boolean](48) } else {(\n          val box11 = OUTPUTS(placeholder[Int](49))\n          (box11.propositionBytes == coll5(placeholder[Int](50))) && (box11.value >= SELF.value - placeholder[Long](51))\n        )}\n      )} else { if (i6 == placeholder[Int](52)) {(\n          val coll10 = coll5.indices\n          ((bool8 && (l1 > l3 + placeholder[Long](53))) && coll10.forall({(i11: Int) =>\n                val box13 = OUTPUTS(i11)\n                (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](54)))\n              })) && (coll10.fold(placeholder[Long](55), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n        )} else {(\n          val i10 = coll4.size\n          val box11 = OUTPUTS(placeholder[Int](56))\n          val coll12 = box11.R7[Coll[Coll[Byte]]].get\n          val i13 = coll12.size\n          val l14 = SELF.value\n          (((((((((((bool8 && ((l1 >= l3 + placeholder[Long](57)) && (l1 <= l3 + placeholder[Long](58)))) && (i10 >= placeholder[Int](59))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](60)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (box11.R9[Coll[Byte]].get == CONTEXT.headers(l1 - l3 - placeholder[Long](61).toInt).id)) && (i13 == i10)) && coll12.forall({(coll15: Coll[Byte]) => coll4.exists({(coll17: Coll[Byte]) => coll17.slice(placeholder[Int](62), placeholder[Int](63)) == coll15.slice(placeholder[Int](64), placeholder[Int](65)) }) })) && if (i13 <= placeholder[Int](66)) { placeholder[Boolean](67) } else { coll12.indices.slice(placeholder[Int](68), i13 - placeholder[Int](69)).forall({(i15: Int) => byteArrayToLong(coll12(i15).slice(placeholder[Int](70), placeholder[Int](71))) >= byteArrayToLong(coll12(i15 + placeholder[Int](72)).slice(placeholder[Int](73), placeholder[Int](74))) }) }) && (coll12.map({(coll15: Coll[Byte]) => byteArrayToLong(coll15.slice(placeholder[Int](75), placeholder[Int](76))) }).fold(placeholder[Long](77), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= l14)) && (box11.value >= l14 + coll9(placeholder[Int](78)))\n        )} })\n  )}\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1107ba87f9c2ab92c0d0c6010028dab6d30180c2d72f0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[7156360860459278813,0,20,1732013,50000000,0,0]"
        },
        "R5": {
          "serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
        },
        "R6": {
          "serializedValue": "1a02240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
        }
      }
    },
    {
      "boxId": "5ee7ac7c0d8cda7b3e7da10454d24120a36e97e7e60168495b6304e500153fa8",
      "value": 10000000,
      "index": 1,
      "spendingProof": "b41f65932ae681ebf0e139ccc5da6931ef0f9b7a0c99d1a52267f273c184ff01193e1ac085948d3c203e359a3aaa564c89242f5d34a93b96",
      "outputBlockId": "0649bfbb9c651a58579547aacc1746b9cf1f42b29ae5d5758adee06e793be550",
      "outputTransactionId": "62c5a695974f12b0152215031bdabec0e8e25bc99598907f3dbbe5b071186965",
      "outputIndex": 1,
      "outputGlobalIndex": 53885792,
      "outputCreatedAt": 1732630,
      "outputSettledAt": 1732631,
      "ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
      "address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "881ab66863b4ee8fd2c746d0ea94da7de13f13cecc7cb1619553d0fae334d795",
      "value": 10000000,
      "index": 0,
      "outputBlockId": "ba34341a5ca696baab5fa301bc5535012d0b9963dd01dabe092b46fcfc559138",
      "outputTransactionId": "f4054885f3753e0818bfc9066112e3fda19840fafa19b06b7288f3b7341631e0",
      "outputIndex": 0,
      "ergoTree": "18380208cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a0402eb027300d1927ea305b2e4c6a70411730100",
      "address": "pA1p4kEjmLdGPJFY3pgPCZpg28tw34QTWCTpDA73oSvK3VLVPttk4ZNBL25dHw1qUwCztiSxhGzpgvhygp1Sz",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R6": {
          "serializedValue": "1d07050006e807e012e707050208e807e012d704050400e807e0120005060ae807e012e807050802e807e0128f03050a04e807e012b817050101008727b817",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
        },
        "R8": {
          "serializedValue": "1d05083c0a143c0a1e0000081e3c140a3c1e000008141e3c0a143c00000828281e1e1e14000008141432141e3c0000",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
        },
        "R7": {
          "serializedValue": "1d0306e80202a01f000080ade20406d00502c03e04904e80dac40906a00b040004f02e80b48913",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
        },
        "R9": {
          "serializedValue": "110678a001aa01be01c801f001",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[60,80,85,95,100,120]"
        },
        "R4": {
          "serializedValue": "111700b485d40180dac40980c2d72f0e06807de0d403e802a00b04148084af5f50463200000000000a0c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,1737050,10000000,50000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "f838d54f4b7c9cb0c8821414318340ad369931b08ca1323efc2153d5e46ce055",
      "transactionId": "2f6b0bf85bd2a23619f1abc21f650623a48d0ecab76e4643b0534beb44a1b4d4",
      "blockId": "71b687f2ec76c474e95691b39cc6a3d45075aa277e8a0fc48d62c0d05d34a88b",
      "value": 50000000,
      "index": 0,
      "globalIndex": 53886967,
      "creationHeight": 1732669,
      "settlementHeight": 1732671,
      "ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
      "address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
      "assets": [],
      "additionalRegisters": {},
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
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      "mainChain": true
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}