Transaction
ID: 12e2ad0539...9da2
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.008 ERG
Transaction Details
Confirmations: 26,424
Total coins transferred: 0.01 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000634 ERG
Raw Transaction Data
{
"id": "12e2ad0539a8f57d0540b4938eedd3894b4b90e2314f2bf19ee8a280d45a9da2",
"blockId": "e34b369a299e439b5d75b3cc825f2b310f1372088f98c4e944270487fcf537c1",
"inclusionHeight": 1734035,
"timestamp": 1772558536513,
"index": 1,
"globalIndex": 10390917,
"numConfirmations": 26424,
"inputs": [
{
"boxId": "ded2dfd7c03becbf252c372f1df60c8b5ac5eaf32fba4d0a277ac0e32c07ea30",
"value": 10000000,
"index": 0,
"spendingProof": "440229987115544a0d48cbe48ebf29532e0c2ab0915e49a5fb67b4439bb2723a05f12dc950005b02c6479ff899b117b8a952dc230b8e1729",
"outputBlockId": "4ae56abfc62e9df906693e79e703ae25c90141ddcf4af4057a6f4d79faf9e99d",
"outputTransactionId": "fdff3e3bd400327701da91625c2ede1b1f77f8fb2810e2ef45ed6b6eb53cb212",
"outputIndex": 1,
"outputGlobalIndex": 53926937,
"outputCreatedAt": 1734032,
"outputSettledAt": 1734033,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8a8129104be683da425c96ab604a115ac01ba4fd89d3a5fb7bf4993833b5add4",
"transactionId": "12e2ad0539a8f57d0540b4938eedd3894b4b90e2314f2bf19ee8a280d45a9da2",
"blockId": "e34b369a299e439b5d75b3cc825f2b310f1372088f98c4e944270487fcf537c1",
"value": 1000000,
"index": 0,
"globalIndex": 53926953,
"creationHeight": 1734033,
"settlementHeight": 1734035,
"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: 2200000\n52: 3\n53: 12\n54: 4\n55: 0\n56: 0\n57: 2\n58: 10\n59: 2\n60: 11\n61: 64\n62: 0\n63: 32\n64: 32\n65: 64\n66: 1\n67: 0\n68: 32\n69: 0\n70: 32\n71: 50\n72: 86\n73: 1\n74: true\n75: 0\n76: 1\n77: 32\n78: 40\n79: 1\n80: 32\n81: 40\n82: 40\n83: 48\n84: 0\n85: 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.R9[Coll[Byte]].get\n val coll13 = getVar[Coll[Byte]](3.toByte).get\n val coll14 = box11.R7[Coll[Coll[Byte]]].get\n val i15 = coll14.size\n val l16 = 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)) && (((coll12.size == placeholder[Int](61)) && (coll12.slice(placeholder[Int](62), placeholder[Int](63)) == SELF.id)) && (coll12.slice(placeholder[Int](64), placeholder[Int](65)) == coll13))) && CONTEXT.headers.exists({(header17: Header) => (header17.id == coll13) && (header17.height == l3 + placeholder[Long](66).toInt) })) && (i15 == i10)) && coll14.forall({(coll17: Coll[Byte]) => coll4.indices.exists({(i19: Int) => (coll4(i19).slice(placeholder[Int](67), placeholder[Int](68)) == coll17.slice(placeholder[Int](69), placeholder[Int](70))) && (coll5(i19) == coll17.slice(placeholder[Int](71), placeholder[Int](72))) }) })) && if (i15 <= placeholder[Int](73)) { placeholder[Boolean](74) } else { coll14.indices.slice(placeholder[Int](75), i15 - placeholder[Int](76)).forall({(i17: Int) => byteArrayToLong(coll14(i17).slice(placeholder[Int](77), placeholder[Int](78))) >= byteArrayToLong(coll14(i17 + placeholder[Int](79)).slice(placeholder[Int](80), placeholder[Int](81))) }) }) && (coll14.map({(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(placeholder[Int](82), placeholder[Int](83))) }).fold(placeholder[Long](84), {(tuple17: (Long, Long)) => tuple17._1 + tuple17._2 }) <= l16)) && (box11.value >= l16 + coll9(placeholder[Int](85)))\n )} })\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1107abc2fce5d9fea1d5d8010028b6d6d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-7806220273599877270,0,20,1734043,50000000,0,0]"
},
"R5": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R6": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
"spentTransactionId": "1c0cb0a1e6a5119396e2ee62ee25b8f1dd9ec4b00ac6cc60e69339ea9e9d3c60",
"mainChain": true
},
{
"boxId": "fced7d2563276c620dd919b85341862a70dacb92968e1649befd9f60f187bfc1",
"transactionId": "12e2ad0539a8f57d0540b4938eedd3894b4b90e2314f2bf19ee8a280d45a9da2",
"blockId": "e34b369a299e439b5d75b3cc825f2b310f1372088f98c4e944270487fcf537c1",
"value": 1000000,
"index": 1,
"globalIndex": 53926954,
"creationHeight": 1734033,
"settlementHeight": 1734035,
"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": "cd1bf30894629b540403f29ad30895303b99e50cf7f0787abccbea6256f8a679",
"mainChain": true
},
{
"boxId": "b0412e8d0334f5a90c6d4af6c3a867309094af0dceeb3e8a22049af59bdb8f79",
"transactionId": "12e2ad0539a8f57d0540b4938eedd3894b4b90e2314f2bf19ee8a280d45a9da2",
"blockId": "e34b369a299e439b5d75b3cc825f2b310f1372088f98c4e944270487fcf537c1",
"value": 8000000,
"index": 2,
"globalIndex": 53926955,
"creationHeight": 1734033,
"settlementHeight": 1734035,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d81e412749ee098f8dc5572844562b2a1fc9e98ca2c60d45284d32084728fa1d",
"mainChain": true
}
],
"size": 1577,
"isUnconfirmed": false
}