Transaction
ID: 68a815debe...6c61
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
9.87 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.87 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 389,798
Total coins transferred: 10.87 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000501 ERG
Raw Transaction Data
{
"id": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"inclusionHeight": 1371174,
"timestamp": 1728641665298,
"index": 2,
"globalIndex": 7894484,
"numConfirmations": 389798,
"inputs": [
{
"boxId": "48cbaa1d1d4686dfbeab645dc6d0af177b724e1a6dbd0ec68af37de4b4392d9b",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 10,
"outputGlobalIndex": 43176508,
"outputCreatedAt": 1371169,
"outputSettledAt": 1371174,
"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)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00acf1fefff7181e8c4f9476112dd4400212a2c5856d10384f998ce86a8a4c78",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a4e6cbcf64000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728669600000,0,0,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "7477e390ffba60979fd83d0b7c17637d58229891d3f63c1ea11bd6ad8860635d",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 4,
"outputGlobalIndex": 43176502,
"outputCreatedAt": 1371169,
"outputSettledAt": 1371174,
"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,-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])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = INPUTS(0).id\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(0)\n val coll16 = tuple15._2\n val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n val func18 = {(box18: Box) => box18.tokens(1) }\n val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n box4\n ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n )\n ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n })\n }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n coll14, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n val i26 = i24 * 8\n byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n }(\n (\n OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "397bbdf93e8bcc0621a0fb168dd2831159fff69e17a04ea1b06d2a4b4828e590",
"value": 9869593686,
"index": 2,
"spendingProof": "ad1698b220c12a7ff49b93d4caa69bf31f93118010d8fedcd1d4ead73721b0e0894ecc510a802689ce30c9fae30143fede444b8917c73cc8",
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 12,
"outputGlobalIndex": 43176510,
"outputCreatedAt": 1371169,
"outputSettledAt": 1371174,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 477727928647,
"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": [
{
"boxId": "12e426555f6c33009bfd57c7661064cc2acafa71c2ec7f002b7fe013372a5735",
"value": 1000000000,
"index": 0,
"outputBlockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"outputTransactionId": "9da3e650f6a12ea1774f1426ff319278a3fa248f7d03c095422c3cfb9fa99a0f",
"outputIndex": 2,
"ergoTree": "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",
"address": "GcZsF8aXYMjRAxRaDKNrWBPgjjNgp8JFhLP9SyvfRQTtu4AUqwqDPNueoVefAntdjPegS1br8snqBRZQRs4PMSNcTrQ5ZvXdeaKMZdLwnwXgrunPmxTRtj8CwwAuEUAP2M8QzkWVP3CUazhemu92v5xgjL4ikj2aHoBX4WDP6hzhAsTNeix5LEtCeESFJToCWj7Bg6Knu9wzsSncgG4GrNABJKSnXdsK1bPXUYWa84h6iU2sJik9MmZ4qnsTqF4eajvmpX4v8QPDBScdBXJpCGN2SXWWRobookB9bhG1Zm2kMn4y3oYfQSyBhKc2qSnGopGzZTxedVaxWBasyauKvL8JQQAnQji8ifniNrxjkpL1qa2KkuFL9NYuGdEJosKVyBYHy1Q3puH5g9pK5u4u42vKrGpNdEYfQ4M9CURjDDeCakSyvCDsBXF3DJfkKRjk6D3AQSuzC2jMco4y6TkY5VMg21fwyrDFozBbewKXfWHFWjtgTQ7qF1BE6jE3YEHkx9zHie1Njkz1ky3bEFDmam8fquQtS4GYicYhdcUHLwV3e4b6Gw9bS9orAEAqv6bNRFgfqTjkpqeB8gFG8kfN38VCwaWpKNpr3M8ATNUNRuimDmTaH54wcSfb4Mfz1Mc8uPSAane8C7NwqruZ3Cw4YVgLeaFxPmW7jG3k3HV4PoNoD6a5guPcSagEYrpRkDWk3fSRZp8D1wSKLmH6cwTa9DB7kUnQM1eKy93mYbPRbKanP83vLZixykXCKKKYKuGuXUub1dNFBTFrH32oDydXikk2KMQV1HEvgBFDx4o9neF1LvgJXwV1WrfuJeC1wBFnEYFbh8SQENccyPeuerphpF9fruMsgqiANfTkqtt5YgWE75PLL7AyajGJmHYmFYpq9x6aychS62ZWP6e3eArrJacaftdAujyCRB5YwDkGp2akEwTyD7P",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "642f01ed4a888da9262d9b904c3c1895c2d98a0fdf53285d4d467bf8ebb0d1826107072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "64239f9b134e0d8df12b83ecb3051e2888abec19df578a835e5b5cca204ce84b",
"transactionId": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"value": 1000000000,
"index": 0,
"globalIndex": 43176511,
"creationHeight": 1371169,
"settlementHeight": 1371174,
"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)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -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\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
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"assets": [
{
"tokenId": "00acf1fefff7181e8c4f9476112dd4400212a2c5856d10384f998ce86a8a4c78",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a4e6cbcf6480a8d6b9070200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1728669600000,1000000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
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"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402205239f80fb7acd92a1a8b527c1906313abca99597b660fe67fff2901ef6ae4b010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "b5a7f1f8ff68ac3f862b4559ea82ddb56183ed6f67e7e85508743b5950ab712d",
"mainChain": true
},
{
"boxId": "d3b338f9721f35e978f32e366371bc232c13eaeb0136a5a2894f0c490113688f",
"transactionId": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"value": 1000000,
"index": 1,
"globalIndex": 43176512,
"creationHeight": 1371169,
"settlementHeight": 1371174,
"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,-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])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = INPUTS(0).id\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(0)\n val coll16 = tuple15._2\n val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n val func18 = {(box18: Box) => box18.tokens(1) }\n val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n box4\n ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n )\n ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n })\n }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n coll14, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n val i26 = i24 * 8\n byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n }(\n (\n OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cf9c83d00b4a6a3e496b6a44263d1540d267bfa7b3f54e1d6396ebe0e88ae4ef",
"mainChain": true
},
{
"boxId": "e9560677524903f7489de6246fa4dc609f17f804dd44f6b8461e6018cae76a2e",
"transactionId": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"value": 1000000,
"index": 2,
"globalIndex": 43176513,
"creationHeight": 1371169,
"settlementHeight": 1371174,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "48cbaa1d1d4686dfbeab645dc6d0af177b724e1a6dbd0ec68af37de4b4392d9b",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1150616964656961205374616b65204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "50616964656961205374616b65204b6579"
},
"R5": {
"serializedValue": "0e12506f77657265642062792050616964656961",
"sigmaType": "Coll[SByte]",
"renderedValue": "506f77657265642062792050616964656961"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "b5a7f1f8ff68ac3f862b4559ea82ddb56183ed6f67e7e85508743b5950ab712d",
"mainChain": true
},
{
"boxId": "2a499b00aec350288368d7b2eda4bb7d7316ad615a2157da2394f6841cca206d",
"transactionId": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"value": 2350000,
"index": 3,
"globalIndex": 43176514,
"creationHeight": 1371169,
"settlementHeight": 1371174,
"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": "f4860a90da6718ad3291bd50fbf8f148c919d8d1ba405e2fb22c042f247fc542",
"mainChain": true
},
{
"boxId": "1f44f69ca9d4dac445c73d03d484783c10c4a4ef7f7c3fc6bd849ba4e477db69",
"transactionId": "68a815debe59167fb912dc36cc01d290a0e656db033a7a55763eccf2f8626c61",
"blockId": "ad6d695020a4016837ca6edc556a7e514789803c100727fa99527bab90629d17",
"value": 9866243686,
"index": 4,
"globalIndex": 43176515,
"creationHeight": 1371169,
"settlementHeight": 1371174,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 476727928647,
"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": "b5a7f1f8ff68ac3f862b4559ea82ddb56183ed6f67e7e85508743b5950ab712d",
"mainChain": true
}
],
"size": 4688,
"isUnconfirmed": false
}