Transaction
ID: 848b5751b5...0b0f
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0064 ERG
Tokens:
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Transaction Details
Confirmations: 21,166
Total coins transferred: 0.0064 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000005057 ERG
Raw Transaction Data
{
"id": "848b5751b587d6a8fbe9ab4f4bfae70d2068fcf87381ea61aca53cc0731e0b0f",
"blockId": "4a969e14c9bcf74d265a2bf3d18752b76ce42b2de18d953bd19173c1c51ab31a",
"inclusionHeight": 1746291,
"timestamp": 1774041984678,
"index": 1,
"globalIndex": 10475132,
"numConfirmations": 21166,
"inputs": [
{
"boxId": "1bb8d29c3ff2b375dfee199ddab34042ac6d4bcf79fa4dd6e0d4e825a325fc3a",
"value": 6400000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a3f22ae0acdaa262989c36eb4018abcf6fef4cf110c1734876aebcc34caa05d4",
"outputTransactionId": "e1aadbef16fafda492cca319da61f665c22971b4dcc8d4d47af41e4b80647b2e",
"outputIndex": 0,
"outputGlobalIndex": 54246275,
"outputCreatedAt": 1746202,
"outputSettledAt": 1746204,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 8\n5: 7\n6: Coll(-22,123,54,-30,-108,-79,-87,84,-88,7,82,-22,-62,-120,113,23,40,-27,-71,27,11,60,5,-106,84,-116,117,86,101,5,11,-120)\n7: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n8: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n9: 10\n10: 4\n11: 6\n12: 1000000\n13: false\n14: 5\n15: 0\n16: 0\n17: 1\n18: 2\n19: 9\n20: 1\n21: 1\n22: 1\n23: 0\n24: 3\n25: 5\n26: 1\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 2\n33: 1\n34: 3\n35: 0\n36: 1000000\n37: 0\n38: 0\n39: 0\n40: 17\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 1000\n47: 100\n48: 1000\n49: 0\n50: 100\n51: 0\n52: 2\n53: 0\n54: 17\n55: 1\n56: 2\n57: 17\n58: 0\n59: 17\n60: 1000000\n61: 0\n62: 3\n63: 2000000\n64: 1\n65: 1\n66: 1\n67: 1\n68: 2\n69: 1\n70: 1000000\n71: 0\n72: 1\n73: 2\n74: 1\n75: 0\n76: false\n77: 1\n78: 3\n79: 1000000\n80: 1\n81: 1000000\n82: 1\n83: 1\n84: false\n85: 0\n86: 0\n87: 0\n88: 0\n89: 0\n90: 1000000\n91: 1000000\n92: 0\n93: 0\n94: 1000\n95: 0\n96: 17\n97: 0\n98: 17\n99: 2\n100: 1\n101: 2\n102: 1\n103: 1\n104: 2\n105: 1\n106: false\n107: 1\n108: 0\n109: 1\n110: 0\n111: 0\n112: 0\n113: 0\n114: 1000000\n115: 1\n116: 0\n117: Coll(-9,-16,8,-83,-113,-54,-83,68,-112,-40,-25,-118,-74,-45,-15,30,-2,114,19,-95,63,123,36,55,-107,-127,-117,21,94,26,-52,-110)\n118: 0\n119: 0\n120: false\n121: 2\n122: false",
"ergoTreeScript": "{\n val coll1 = SELF.R9[Coll[Coll[Byte]]].get\n val prop2 = proveDlog(decodePoint(coll1(placeholder[Int](0))))\n val coll3 = SELF.tokens\n val tuple4 = (Coll[Byte](), placeholder[Long](1))\n val tuple5 = coll3.getOrElse(placeholder[Int](2), tuple4)\n val coll6 = tuple5._1\n val coll7 = SELF.R7[Coll[Byte]].get\n val bool8 = coll6 == coll7\n val bool9 = !bool8\n val box10 = OUTPUTS(placeholder[Int](3))\n val coll11 = box10.propositionBytes\n val coll12 = prop2.propBytes\n val coll13 = SELF.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](4))\n val l15 = coll13(placeholder[Int](5))\n val coll16 = placeholder[Coll[Byte]](6)\n val coll17 = placeholder[Coll[Byte]](7)\n val coll18 = placeholder[Coll[Byte]](8)\n val l19 = coll13(placeholder[Int](9))\n val l20 = coll13(placeholder[Int](10))\n val l21 = coll13(placeholder[Int](11))\n val l22 = l21 + placeholder[Long](12)\n val coll23 = SELF.R5[Coll[Byte]].get\n val bool24 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l22) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll23)) && (\n box10.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n )\n ) && (box10.R8[Coll[Long]].get == coll13)\n ) && (box10.R9[Coll[Coll[Byte]]].get == coll1)\n } else { placeholder[Boolean](13) }\n val l25 = coll13(placeholder[Int](14))\n val coll26 = box10.tokens\n val tuple27 = coll26.getOrElse(placeholder[Int](15), tuple4)\n val coll28 = tuple27._1\n val l29 = coll13(placeholder[Int](16))\n val tuple30 = coll26.getOrElse(placeholder[Int](17), tuple4)\n val l31 = tuple5._2\n val l32 = coll13(placeholder[Int](18))\n val l33 = tuple27._2\n val coll34 = tuple30._1\n val l35 = coll13(placeholder[Int](19))\n val box36 = OUTPUTS(placeholder[Int](20))\n val coll37 = box36.tokens\n val bool38 = bool8 && (l31 == placeholder[Long](21))\n val tuple39 = coll3.getOrElse(placeholder[Int](22), tuple4)\n val tuple40 = coll37.getOrElse(placeholder[Int](23), tuple4)\n val l41 = HEIGHT.toLong\n val l42 = coll13(placeholder[Int](24))\n val l43 = l42 + placeholder[Long](25)\n val bool44 = if (coll13(placeholder[Int](26)) == placeholder[Long](27)) { (bool38 && (l41 >= l42)) && (l41 <= l43) } else { bool38 && (l41 <= l43) }\n val l45 = INPUTS.fold(placeholder[Long](28), {(tuple45: (Long, Box)) =>\n val box47 = tuple45._2\n val coll48 = box47.tokens\n val l49 = tuple45._1\n if ((coll48.size > placeholder[Int](29)) && (box47.id != SELF.id)) {(\n val tuple50 = coll48(placeholder[Int](30))\n if (tuple50._1 == coll7) { l49 + tuple50._2 } else { l49 }\n )} else { l49 }\n })\n val bool46 = ((bool24 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll46 = coll28\n coll46 == coll6\n ) && (l33 == placeholder[Long](31))\n prop2 && sigmaProp((bool9 && (OUTPUTS.size == placeholder[Int](32))) && (coll11 == coll12)) || sigmaProp(\n (((if ((bool9 && (INPUTS.size == placeholder[Int](33))) && (OUTPUTS.size == placeholder[Int](34))) {(\n val bool47 = l14 == placeholder[Long](35)\n val l48 = l20 * l19 / placeholder[Long](36)\n val bool49 = l48 > placeholder[Long](37)\n ((((((((((if (bool47) {(\n val box50 = CONTEXT.dataInputs(placeholder[Int](38))\n val i51 = l15.toInt\n val l52 = box50.R5[Coll[Long]].get(i51)\n val bool53 = box50.tokens(placeholder[Int](39))._1 == coll16\n val coll54 = box50.R4[Coll[Coll[Byte]]].get(i51)\n if (l15 == placeholder[Long](40)) { bool53 && (l52 > placeholder[Long](41)) } else { ((bool53 && (coll54.size > placeholder[Int](42))) && (l52 > placeholder[Long](43))) && (coll3(placeholder[Int](44))._1 == coll54) }\n )} else {(\n val coll50 = coll3(placeholder[Int](45))._1\n (coll50 == coll17) || (coll50 == coll18)\n )} && if (bool47) { (l19 == placeholder[Long](46)) || (l19 == placeholder[Long](47)) } else { ((l19 == placeholder[Long](48)) && (coll3(placeholder[Int](49))._1 == coll17)) || ((l19 == placeholder[Long](50)) && (coll3(placeholder[Int](51))._1 == coll18)) }) && bool49) && bool24) && (box10.R7[Coll[Byte]].get == SELF.id)) && (box10.value == SELF.value - l21 - l25)) && (box10.value >= placeholder[Long](52) * l22)) && (coll28 == SELF.id)) && \n val bool50 = l29 == placeholder[Long](53)\n ((((((((bool50 && bool47) && (l15 != placeholder[Long](54))) && \n val coll51 = coll34\n coll51 == coll23\n ) && (tuple30 == tuple5)) && (l33 == l31 / l32 + placeholder[Long](55))) && (coll26.size == placeholder[Int](56))) || (((bool50 && bool47) && (l15 == placeholder[Long](57))) && \n val l51 = l32 * CONTEXT.dataInputs(placeholder[Int](58)).R5[Coll[Long]].get(placeholder[Int](59)) / placeholder[Long](60)\n val l52 = SELF.value\n (((l51 > placeholder[Long](61)) && (l33 == l52 - placeholder[Long](62) * l21 - l25 - placeholder[Long](63) / l51 + placeholder[Long](64))) && (coll26.size == placeholder[Int](65))) && (box10.value >= l52 - l21 - l25)\n )) || (((((((l29 == placeholder[Long](66)) && bool47) && (coll34 == coll23)) && (tuple30 == tuple5)) && bool49) && (l33 == l31 / l48 + placeholder[Long](67))) && (coll26.size == placeholder[Int](68)))) || ((l14 == placeholder[Long](69)) && \n val l51 = l35 * l19 / placeholder[Long](70)\n ((((l51 > placeholder[Long](71)) && (coll34 == coll23)) && (tuple30 == tuple5)) && (l33 == l31 / l51 + placeholder[Long](72))) && (coll26.size == placeholder[Int](73))\n )\n ) && (box36.propositionBytes == coll1(placeholder[Int](74)))) && (coll37.size == placeholder[Int](75))) && (box36.value >= l25)\n )} else { placeholder[Boolean](76) } || if (((bool8 && (!bool38)) && (INPUTS.size == placeholder[Int](77))) && (OUTPUTS.size == placeholder[Int](78))) { ((((((((((box10.value == SELF.value - l21 - placeholder[Long](79)) && bool24) && (box10.R7[Coll[Byte]].get == coll7)) && (coll28 == coll6)) && (l33 == placeholder[Long](80))) && (tuple30 == tuple39)) && (box36.propositionBytes == coll12)) && (box36.value == placeholder[Long](81))) && (coll37.size == placeholder[Int](82))) && (tuple40._1 == coll6)) && (tuple40._2 == l31 - placeholder[Long](83)) } else { placeholder[Boolean](84) }) || if ((bool44 && (l14 == placeholder[Long](85))) && (l45 > placeholder[Long](86))) {(\n val box47 = CONTEXT.dataInputs(placeholder[Int](87))\n val i48 = l15.toInt\n val l49 = box47.R5[Coll[Long]].get(i48)\n val bool50 = l49 > placeholder[Long](88)\n val bool51 = box47.tokens(placeholder[Int](89))._1 == coll16\n val l52 = l32 * l49 / placeholder[Long](90)\n val l53 = l20 * l19 / placeholder[Long](91)\n val bool54 = (l52 > placeholder[Long](92)) && (l53 > placeholder[Long](93))\n val l55 = l52 * l45\n val coll56 = if (l19 == placeholder[Long](94)) { coll17 } else { coll18 }\n val l57 = l53 * l45\n val coll58 = box47.R4[Coll[Coll[Byte]]].get(i48)\n val bool59 = (coll58.size > placeholder[Int](95)) || (l15 == placeholder[Long](96))\n if (l29 == placeholder[Long](97)) { if (l15 == placeholder[Long](98)) {(\n val box60 = OUTPUTS(placeholder[Int](99))\n (((((bool51 && bool50) && bool54) && (box36.value >= l55)) && ((box60.propositionBytes == coll12) && box60.tokens.exists({(tuple61: (Coll[Byte], Long)) => (tuple61._1 == coll56) && (tuple61._2 >= l57) }))) && bool46) && (box10.value >= SELF.value - l55 - l21)\n )} else {(\n val tuple60 = coll3(placeholder[Int](100))\n val box61 = OUTPUTS(placeholder[Int](101))\n val tuple62 = coll26(placeholder[Int](102))\n (((((((((bool51 && bool59) && bool50) && bool54) && (tuple60._1 == coll58)) && coll37.exists({(tuple63: (Coll[Byte], Long)) => (tuple63._1 == coll58) && (tuple63._2 >= l55) })) && ((box61.propositionBytes == coll12) && box61.tokens.exists({(tuple63: (Coll[Byte], Long)) => (tuple63._1 == coll56) && (tuple63._2 >= l57) }))) && (tuple62._1 == coll58)) && bool46) && (box10.value >= SELF.value - l21)) && (tuple62._2 >= tuple60._2 - l55)\n )} } else {(\n val tuple60 = coll3(placeholder[Int](103))\n val coll61 = tuple60._1\n val box62 = OUTPUTS(placeholder[Int](104))\n val tuple63 = coll26(placeholder[Int](105))\n (((((((((bool51 && bool59) && bool50) && bool54) && ((coll61 == coll17) || (coll61 == coll18))) && coll37.exists({(tuple64: (Coll[Byte], Long)) => (tuple64._1 == coll61) && (tuple64._2 >= l57) })) && ((box62.propositionBytes == coll12) && box62.tokens.exists({(tuple64: (Coll[Byte], Long)) => (tuple64._1 == coll58) && (tuple64._2 >= l55) }))) && (tuple63._1 == coll61)) && bool46) && (box10.value >= SELF.value - l21)) && (tuple63._2 >= tuple60._2 - l57)\n )}\n )} else { placeholder[Boolean](106) }) || if ((bool44 && (l14 == placeholder[Long](107))) && (l45 > placeholder[Long](108))) {(\n val tuple47 = coll3(placeholder[Int](109))\n val coll48 = tuple47._1\n val box49 = CONTEXT.dataInputs(placeholder[Int](110))\n val l50 = box49.R4[Coll[Long]].get(l15.toInt)\n val l51 = if (l29 == placeholder[Long](111)) { if (l50 > l20) {(\n val l51 = l50 - l20\n if (l51 > l35) { l35 } else { l51 }\n )} else { placeholder[Long](112) } } else { if (l50 < l20) {(\n val l51 = l20 - l50\n if (l51 > l35) { l35 } else { l51 }\n )} else { placeholder[Long](113) } }\n val l52 = l51 * l19 / placeholder[Long](114)\n val l53 = l52 * l45\n val tuple54 = coll26(placeholder[Int](115))\n (((((((((coll48 == coll17) || (coll48 == coll18)) && (box49.tokens(placeholder[Int](116))._1 == placeholder[Coll[Byte]](117))) && (l51 > placeholder[Long](118))) && (l52 > placeholder[Long](119))) && coll37.exists({(tuple55: (Coll[Byte], Long)) => (tuple55._1 == coll48) && (tuple55._2 >= l53) })) && (tuple54._1 == coll48)) && bool46) && (box10.value >= SELF.value - l21)) && (tuple54._2 >= tuple47._2 - l53)\n )} else { placeholder[Boolean](120) }) || if (l41 > l43) {\n ((((OUTPUTS.size == placeholder[Int](121)) && (coll11 == coll12)) && (box10.value >= SELF.value - l21)) && (coll28 == tuple39._1)) && (l33 == tuple39._2)\n } else { placeholder[Boolean](122) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e0940beed834c52f17a66b1ca0c1599a8d6ac2b672cbc64b80595243bf06c5e2",
"index": 0,
"amount": 1,
"name": "TEST BTC Cash Call $100K",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"index": 1,
"amount": 250,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"sigmaType": "Coll[SByte]",
"renderedValue": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669"
},
"R6": {
"serializedValue": "0e0133",
"sigmaType": "Coll[SByte]",
"renderedValue": "33"
},
"R8": {
"serializedValue": "110b000080897ac894d50180a0b787e90580897a80c78c02020280c8afa025d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,1000000,1746212,100000000000,1000000,2200000,1,1,5000000000,1000]"
},
"R7": {
"serializedValue": "0e20e0940beed834c52f17a66b1ca0c1599a8d6ac2b672cbc64b80595243bf06c5e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "e0940beed834c52f17a66b1ca0c1599a8d6ac2b672cbc64b80595243bf06c5e2"
},
"R9": {
"serializedValue": "1a022103bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b240008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b,0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b]"
},
"R4": {
"serializedValue": "0e18544553542042544320436173682043616c6c20243130304b",
"sigmaType": "Coll[SByte]",
"renderedValue": "544553542042544320436173682043616c6c20243130304b"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "b35cb4e743d9a724081fcba5832c0d5f3a48e5ef787f9c5294534a41c1bcc3d4",
"transactionId": "848b5751b587d6a8fbe9ab4f4bfae70d2068fcf87381ea61aca53cc0731e0b0f",
"blockId": "4a969e14c9bcf74d265a2bf3d18752b76ce42b2de18d953bd19173c1c51ab31a",
"value": 4200000,
"index": 0,
"globalIndex": 54248572,
"creationHeight": 1746290,
"settlementHeight": 1746291,
"ergoTree": "0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bda269,1a4560,...)))}",
"address": "9huKeYQbBnuGcndNCSbxUrRc2sRQNCvfyex8nMorKkEwLcQW4vd",
"assets": [
{
"tokenId": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"index": 0,
"amount": 250,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"sigmaType": "Coll[SByte]",
"renderedValue": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669"
},
"R6": {
"serializedValue": "0e0133",
"sigmaType": "Coll[SByte]",
"renderedValue": "33"
},
"R8": {
"serializedValue": "110b000080897ac894d50180a0b787e90580897a80c78c02020280c8afa025d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,1000000,1746212,100000000000,1000000,2200000,1,1,5000000000,1000]"
},
"R7": {
"serializedValue": "0e20e0940beed834c52f17a66b1ca0c1599a8d6ac2b672cbc64b80595243bf06c5e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "e0940beed834c52f17a66b1ca0c1599a8d6ac2b672cbc64b80595243bf06c5e2"
},
"R9": {
"serializedValue": "1a022103bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b240008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b,0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b]"
},
"R4": {
"serializedValue": "0e18544553542042544320436173682043616c6c20243130304b",
"sigmaType": "Coll[SByte]",
"renderedValue": "544553542042544320436173682043616c6c20243130304b"
}
},
"spentTransactionId": "ae6891d1e7bf1df8c813fe34f7f5e14dc1e6062cde09fa17b57c52e4e2f72fb6",
"mainChain": true
},
{
"boxId": "599f51e208c540c4a06e3f0b0445d547f2f74ab7563faf2fb7ae24b4ca36b8fb",
"transactionId": "848b5751b587d6a8fbe9ab4f4bfae70d2068fcf87381ea61aca53cc0731e0b0f",
"blockId": "4a969e14c9bcf74d265a2bf3d18752b76ce42b2de18d953bd19173c1c51ab31a",
"value": 2200000,
"index": 1,
"globalIndex": 54248573,
"creationHeight": 1746290,
"settlementHeight": 1746291,
"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": "cee96580453b105e7ca99037b6eb3d274379c6578027f50de856512a842d6a2b",
"mainChain": true
}
],
"size": 435,
"isUnconfirmed": false
}