Transaction
ID: 863d734e07...6ec3
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
9.85 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.5 ERG
Tokens:
5,000,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.35 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 396,624
Total coins transferred: 9.85 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000367 ERG
Raw Transaction Data
{
"id": "863d734e07ceceb080b801c20b1d3175d2711aac6d740ca48d1d923d18766ec3",
"blockId": "cb8abbe095719d20234d68fece8d7d1026486ba0d8f262ec01e251178d4aa6c1",
"inclusionHeight": 1371240,
"timestamp": 1728648960589,
"index": 20,
"globalIndex": 7894858,
"numConfirmations": 396624,
"inputs": [
{
"boxId": "98018f256eb8f60dff2830598b3fbec1b83c59ef817e4f16aeb3c4b8e7843306",
"value": 9848493686,
"index": 0,
"spendingProof": "99a7d77da16f0062335f82773b7d693f575d36a194e063002dab505cbe757a24238c80e0462bf2065abb917bdd7d22385499cbe7dab49f9b",
"outputBlockId": "2a3d405225b27082e9663eed7c1abdbc4b9214e9e76bdf46c5cfe59c04e39db5",
"outputTransactionId": "b615ca8e1ad0fe7c5cf05f399cd9711a5367695a5b784be0af42fd112d8f36c8",
"outputIndex": 5,
"outputGlobalIndex": 43176865,
"outputCreatedAt": 1371195,
"outputSettledAt": 1371197,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 476717928647,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7b976757ded023ccdffc1c6958376727fc392e60ed5627fb4e405177a8a090c1",
"index": 1,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 2,
"amount": 4,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "045d2f3ae2f7c17c83bd6a56d9ea64209802a62598ee138ed5289ea947393eee",
"index": 4,
"amount": 9997,
"name": "RosenGuard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 5,
"amount": 98698999999997,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "24b33d72bc82d430fd68b20dc22af598be6994189a96d1ee1eef78fd93b5f763",
"index": 6,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4679238680dadf89f6670c1d83563e87e16616407845ce7bdf5b9e3aee1ae8b8",
"index": 7,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "94073554b6fed07682cc819527a0188ab913698233fedd1bb908368e275a24b1",
"index": 8,
"amount": 1,
"name": "RosenGuards Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "669438571de1006db69e406bab15881b8c85f5b8a231b54c12db1923654b8220",
"index": 9,
"amount": 1,
"name": "MyFirstDAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8eef0bd511141c325c062546e48827d1eaf17a39c161ebd726b7b77edc181a63",
"transactionId": "863d734e07ceceb080b801c20b1d3175d2711aac6d740ca48d1d923d18766ec3",
"blockId": "cb8abbe095719d20234d68fece8d7d1026486ba0d8f262ec01e251178d4aa6c1",
"value": 500000000,
"index": 0,
"globalIndex": 43177791,
"creationHeight": 1371238,
"settlementHeight": 1371240,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n1: Coll(0,-8,-11,-69,-27,68,-31,108,93,81,9,-113,54,26,-59,-3,-105,91,-18,-32,-85,-54,-118,-57,111,13,122,56,-116,50,-17,38)\n2: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n3: Coll(0,90,-103,63,-107,51,-108,-69,-119,-113,122,45,-30,-105,87,-84,-18,31,49,-73,125,-78,98,-24,7,-48,21,83,-13,-63,-96,98,0,-84,-15,-2,-1,-9,24,30,-116,79,-108,118,17,45,-44,64,2,18,-94,-59,-123,109,16,56,79,-103,-116,-24,106,-118,76,120)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = Coll[Byte]()\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n val coll6 = placeholder[Coll[Byte]](3)\n val coll7 = coll6.slice(32, 64)\n val coll8 = placeholder[Coll[Byte]](0)\n val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n val coll10 = placeholder[Coll[Byte]](2)\n val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n }) }\n val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n val coll13 = Coll[Byte](\n 91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n )\n val b14 = getVar[Byte](0.toByte).get\n val func15 = {(box15: Box) => box15.tokens(1) }\n val i16 = INPUTS.indexOf(SELF, 0)\n val func17 = {(l17: Long) =>\n if (l17 < 128L) { 1 } else {\n if (l17 < 16384L) { 2 } else {\n if (l17 < 2097152L) { 3 } else {\n if (l17 < 268435456L) { 4 } else {\n if (l17 < 34359738368L) { 5 } else {\n if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val box21 = func1((OUTPUTS, coll20))(0)\n val coll22 = CONTEXT.dataInputs\n val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n val coll24 = opt4.getOrElse(coll3)\n val coll25 = func1((INPUTS, coll20))\n val l26 = func5(coll25)\n val box27 = func2((OUTPUTS, coll7))(0)\n val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte), Coll[Byte](79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte), Coll[Byte](-80.toByte, -71.toByte, 7.toByte, -85.toByte, -81.toByte, -83.toByte, -115.toByte, -1.toByte, -50.toByte, 47.toByte, -97.toByte, 29.toByte, -6.toByte, 21.toByte, 53.toByte, -64.toByte, 34.toByte, -35.toByte, -96.toByte, 83.toByte, 102.toByte, -12.toByte, -5.toByte, -46.toByte, 127.toByte, 88.toByte, 29.toByte, 19.toByte, 47.toByte, 75.toByte, 35.toByte, -10.toByte), Coll[Byte](-72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n val l31 = func11((coll25, coll10))\n val coll32 = Coll[Box](box21)\n val l33 = func11((coll32, coll10))\n val l34 = func11((coll25, coll29))\n val l35 = func11((coll32, coll29))\n val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n val coll38 = tuple36._1\n (coll38 != coll10) && (coll38 != coll29)\n }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n val coll39 = tuple37._1\n (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n })\n anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.toByte), Coll[Byte](118.toByte, 124.toByte, -86.toByte, -128.toByte, -71.toByte, -114.toByte, 73.toByte, 106.toByte, -40.toByte, -87.toByte, -10.toByte, -119.toByte, -60.toByte, 65.toByte, 10.toByte, -28.toByte, 83.toByte, 50.toByte, 127.toByte, 15.toByte, -107.toByte, -23.toByte, 80.toByte, -124.toByte, -64.toByte, -82.toByte, 32.toByte, 99.toByte, 80.toByte, 121.toByte, 59.toByte, 119.toByte), coll13), coll24)\n val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n val bool42 = coll10 == coll29\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n )} else { false } }(b14)))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val coll21 = func1((INPUTS, coll20))\n val coll22 = func1((OUTPUTS, coll20))\n val l23 = func5(coll21)\n allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n val box22 = OUTPUTS(i16)\n val l23 = box22.value\n val l24 = SELF.value\n val coll25 = box22.propositionBytes\n val coll26 = SELF.bytesWithoutRef\n val coll27 = SELF.propositionBytes\n val i28 = SELF.creationInfo._1\n val coll29 = box22.bytesWithoutRef\n val i30 = box22.creationInfo._1\n allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 50000000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "41140f6cd527fa03338ec4d88673f24a5ef80f59f70a2a82a2ec6645d5043479",
"mainChain": true
},
{
"boxId": "2e64b34f5f17432f7e7021c50d5bb82d14e54ed174ae0d29f6e185701689e54d",
"transactionId": "863d734e07ceceb080b801c20b1d3175d2711aac6d740ca48d1d923d18766ec3",
"blockId": "cb8abbe095719d20234d68fece8d7d1026486ba0d8f262ec01e251178d4aa6c1",
"value": 1100000,
"index": 1,
"globalIndex": 43177792,
"creationHeight": 1371238,
"settlementHeight": 1371240,
"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": "3bbc1f4de11b88ea798a6bb1e12ff0d8019057bcb16aca96d04dd109e5aa2634",
"mainChain": true
},
{
"boxId": "a839bfc8f11c5248f295cf48d14f8347afc82118df80422cfa83b6f7a4dc9956",
"transactionId": "863d734e07ceceb080b801c20b1d3175d2711aac6d740ca48d1d923d18766ec3",
"blockId": "cb8abbe095719d20234d68fece8d7d1026486ba0d8f262ec01e251178d4aa6c1",
"value": 9347393686,
"index": 2,
"globalIndex": 43177793,
"creationHeight": 1371238,
"settlementHeight": 1371240,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 426717928647,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7b976757ded023ccdffc1c6958376727fc392e60ed5627fb4e405177a8a090c1",
"index": 1,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 2,
"amount": 4,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "045d2f3ae2f7c17c83bd6a56d9ea64209802a62598ee138ed5289ea947393eee",
"index": 4,
"amount": 9997,
"name": "RosenGuard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 5,
"amount": 98698999999997,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "24b33d72bc82d430fd68b20dc22af598be6994189a96d1ee1eef78fd93b5f763",
"index": 6,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4679238680dadf89f6670c1d83563e87e16616407845ce7bdf5b9e3aee1ae8b8",
"index": 7,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "94073554b6fed07682cc819527a0188ab913698233fedd1bb908368e275a24b1",
"index": 8,
"amount": 1,
"name": "RosenGuards Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "669438571de1006db69e406bab15881b8c85f5b8a231b54c12db1923654b8220",
"index": 9,
"amount": 1,
"name": "MyFirstDAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2aa16f67fb7ef85a7790aeac3073c8668660f39513fceed6598c80ec37a4ae4b",
"mainChain": true
}
],
"size": 2999,
"isUnconfirmed": false
}