Transaction
ID: 8dec680dc6...b26b
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:
2,137.56 ERG
Tokens:
Loading assets...
Outputs (6)
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
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2,137.51 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 342,015
Total coins transferred: 2,138.57 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000407 ERG
Raw Transaction Data
{
"id": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"inclusionHeight": 1422705,
"timestamp": 1734870010995,
"index": 5,
"globalIndex": 8306725,
"numConfirmations": 342015,
"inputs": [
{
"boxId": "1e20023cd7f1de0ed0a28c616c9cdc857034bd77d8eba453ab8bfedca7ed019e",
"value": 1001000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c18a644e11ec1a8897bed0a506c895a3713fe26419b8f99d6dc9546890f489e1",
"outputTransactionId": "d765e37be7f899382c8434ebc1c3b854a8f04982300cc3c3082927a1c18e52c8",
"outputIndex": 0,
"outputGlobalIndex": 45018289,
"outputCreatedAt": 1422619,
"outputSettledAt": 1422621,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
"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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 10205037,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780889d9afb6402560cca8f8ff767d6dddd09e0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1734523200000,1,43,6,13949330405,10205035,250032]"
},
"R6": {
"serializedValue": "1d0501b2899bedb920010401f2b1bece0201140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[557520740953],[2],[350735481],[10],[10]]"
},
"R8": {
"serializedValue": "1102929fba05b0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5720009,250008]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720002729ef068d71e12aafc7b833eac545491b2f989ccb305eb07c26d022d97959c102072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402c9c0e2be6b7c8c50e20c5ebfe02278567f2734f98288836a5948d941f6e456df07072000c82fe184c131f010c554e5ff34d721d911aa7feb917a9d9ce167fec04b9cd1c703072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "340ccd0da504b178ddb391d63c28df92f3ad19906cd06d9b950e461fff8f4731",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "54433a96594026cd3f449c4088c055d92c482d1ad978fd9f805cb4461a2dbfbe",
"outputTransactionId": "7d6f842684323a51978a9c84c8fe380078d876475fd82a081d338d0ef5847399",
"outputIndex": 1,
"outputGlobalIndex": 44084404,
"outputCreatedAt": 1401171,
"outputSettledAt": 1401173,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\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 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\n val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\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 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll14 = coll13(0)\n val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n val avlTree16 = func15(box5)\n val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n (OUTPUTS, coll21)\n )(0)\n val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n )\n ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n val i28 = i26 * 8\n byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n })\n }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n box4\n ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n box4\n ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "48bd14bfa7bd4e0016ff0e02e59c1fa191cb61edb334f7d6bab26ed4b0eff2c1",
"value": 2137563388720,
"index": 2,
"spendingProof": "9f2e5f240a45516c6326dffb8df2e0a5d09a2aaf9f23a767444c258e4a1e0e8936ed62141358c2df2176b4e14ef828cd97982922f998c3b5",
"outputBlockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"outputTransactionId": "0372cc8d0d0c913b23c442f5e0bbddb64a6e34346eeadecf10867dcd2ec00ef8",
"outputIndex": 2,
"outputGlobalIndex": 45019984,
"outputCreatedAt": 1422703,
"outputSettledAt": 1422705,
"ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
"address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
"assets": [
{
"tokenId": "84425ab29d7dd1ef15618dc25ab5a2c2f8ab794087e644b3890ff349838efcbb",
"index": 0,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f1c0ace46ed88730a270c584df14b5b4383e66ead537aafd51cb63e455ad9e65",
"index": 1,
"amount": 14064755982,
"name": "Ergo_886b7721_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 2,
"amount": 3721917809,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
"index": 3,
"amount": 1633410256,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "7a41e485cbab1822839983765bb0b7b884782fd7b3ad5f6469be6267e34485b0",
"index": 4,
"amount": 1,
"name": "ergopad Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a2e122a89c44e5418f2f88183568fb53ff7964b3e3eb9f26db8fd8a14a8db805",
"index": 5,
"amount": 1,
"name": "RSV Ram [ERGnomes Sigma Auctions] #RSV01",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "82a4bcf8b56ed3405e99eb8f8fcab7dda1c79a44b6e55db3fadd13feee2d0b66",
"index": 6,
"amount": 1,
"name": "ERGnomes Loyalty Crypto vs Fiat [70/221]",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2ac82cb153ed8e4839941cfceab0e11a044e23787eb89167111923b057b42b7c",
"index": 7,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
"index": 8,
"amount": 81,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "00b42b41cb438c41d0139aa8432eb5eeb70d5a02d3df891f880d5fe08670c365",
"index": 9,
"amount": 2654335507,
"name": "CRUX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 10,
"amount": 497510000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "2c4eb9de6089d7637c24d24b80903bcced518d448c891e50458f1032c5f7e534",
"index": 11,
"amount": 1,
"name": "Crux Finance Phase 1 Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ca0ed0092eaaa22b6bfcc407d221b3aaa5c8f643e843cb6aafff6af955947675",
"index": 12,
"amount": 2066618283,
"name": "PDV",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "91387b9800730a4a84d1e060dacbab51848e8aa27b4f7e710c1c2acf89624957",
"index": 13,
"amount": 1,
"name": "Ergnome #866 Gelatoswap the Tasty Fairy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "43d405fed3ed139184dafeaa03c39f8b404802b86d898166e663b294ebb5a5dc",
"index": 14,
"amount": 1,
"name": "Ergnome #537 Jerry the PoS Holder",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 15,
"amount": 1053,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "d9d7f1b48a31aeff2c0da0edc30e30c2fa9a9c46ab4b1f7eaf75b30fd97101c3",
"index": 16,
"amount": 1,
"name": "Crux Finance Team Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 17,
"amount": 69420,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "436f8f48a3650c7be728e2a331e9a6e818c31f27163ee6e5257fcfd2d8423dc3",
"index": 18,
"amount": 1,
"name": "EGIO Stake Pool Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 19,
"amount": 559669243955,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "08be8ef89bb9c2663df6b821ffbc9217ca16c6654020a8b5fe1c74e37c2782fd",
"index": 20,
"amount": 20808281136,
"name": "Ergo_00b42b41_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c76a3f1aa460e73d2b927db30d3c49bbd6de5ea13a550ce7ba7959e1f0d8748d",
"index": 21,
"amount": 1,
"name": "AHT Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 22,
"amount": 71497,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 23,
"amount": 1000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cd18b0bfab6aaad628baa4191f2ff314d2899cf6bfef267a5463bc4433e702f9",
"index": 24,
"amount": 1,
"name": "Blue Hackagnome #ERG_009 [Ergohack II special]",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cbd75cfe1a4f37f9a22eaee516300e36ea82017073036f07a09c1d2e10277cda",
"index": 25,
"amount": 1000000000000,
"name": "hodlERG3",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 26,
"amount": 44641581,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ff7f67f63681de1dbfa89aca6a1a0daf5b1a6723e199a40ac680da2938d9dd2a",
"index": 27,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "879c71d7d9ad213024962824e7f6f225b282dfb818326b46e80e155a11a90544",
"index": 28,
"amount": 26859498242,
"name": "ERG_Paideia_LP",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "0cca9016769f0abbd704bc14e422ba3dd4ec10e00ecd120f36846bb859a16ca0",
"value": 1000000000,
"index": 0,
"outputBlockId": "4c8dc2ed20f330c612719316b3494a4d66de5f0668ecbc6283a0e3bde4207893",
"outputTransactionId": "66b181ec5489107a9bf3c7b13563acee0d31cd0e79d9b837e2a489467dde6f9a",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64a1db138991f9e426fe847dbae52abd772f8681deb022a8a3d0cad0ef86436f7107072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "1d4f3006e876f7c6d425efb3e83b86d96ab052ca0ba5f699248a2f7ad6115fab",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 1001000000,
"index": 0,
"globalIndex": 45019988,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
"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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 557916177039,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780889d9afb64c6acccdcbc20540cca8f8ff767d6dddd09e0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1734523200000,557905972003,42,6,13949330405,10205035,250032]"
},
"R6": {
"serializedValue": "1d0501b2899bedb920010401f2b1bece0201140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[557520740953],[2],[350735481],[10],[10]]"
},
"R8": {
"serializedValue": "1102929fba05b0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5720009,250008]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720002729ef068d71e12aafc7b833eac545491b2f989ccb305eb07c26d022d97959c102072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402e19699896cc82b77a9bdbb3f0b40a56746631df05568f00a2d22b813a1ae47b206072000c82fe184c131f010c554e5ff34d721d911aa7feb917a9d9ce167fec04b9cd1c703072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "061254534f14da379ee0fb62e9bc26e6ca0d6480c23c852907630d4615a8ab72",
"mainChain": true
},
{
"boxId": "8e550c519e6085a2b00ac2ae6f2f7159fa2d8c05cf158cfe7c5328a58c77915f",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 1000000,
"index": 1,
"globalIndex": 45019989,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\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 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\n val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\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 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll14 = coll13(0)\n val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n val avlTree16 = func15(box5)\n val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n (OUTPUTS, coll21)\n )(0)\n val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n )\n ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n val i28 = i26 * 8\n byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n })\n }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n box4\n ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n box4\n ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n )\n )\n )\n}",
"address": "NXqQY2jwRQ2m4d1dCGrk4j2rtGBGPU2X3BmicpHv8XBVhwUNn8t7tD7TSe2mmYHB5bFpDgPtkwT3VpVjEnZ5NDaKXxThahYkmnEfX5jBrUbrBxVMPzhgAtgey3iT5End1qTcidvtMoFhofdnLk1s4SXV9qSayN4BfNLBhYDUfLRqJvM2Ad8Qb5WkipjBKNQfdAyMor4UhdQE8gZx4G8a88iPvYn7Uo8rGaLsuw8peTgosVGEECgDHndu9Wjwth1Ae3kw4P4fr4b8sosVC5WvrZo6oLet1UAmhbTC38Stp9nALnPk6DWGnAQz5gW3wpTphfp9QMLvocBxZ8Mxa2nXLZx3r2nQ58zSfgCe7Yha9VUfDKMmrefzbG6vWcwyXfAQhoATo9aWdohJw583FrXAe6f3F74JEr7DUAubcAmT5jAdmztgNs5vTb6EbDrLgzFBYtdASF7MQZHiRizSQ5TJnFA73GovJrSrEfMuryiFh3tJznM48u9uK1Lydz4BaCQxU1mprRYVPL3PsV9dRxZu96ocJzDLx9zWQNCVw9XxSJqTnvLJ58VRhGvWEqSLzyJt6SVoadVQuG6pQBJMPsH7MbjuHzYgo1dz4w4VjRN3Z4t3YY7h3btryU1umK26tgPVnQhGsU9nCNDGEuVD9VZgVeyWobqZePD8f1VxUaK55W2cLfUYz3gzj9tPFgwThXyiQUFwQQadAow4X82xybAW2g8yp4v75AGmEGjUDMsggsvQ5ofd8SP6mKbh26xwfnxiDDrb5ek5pAF3MvkW8fSMFKrZRGGwWBowVwHUv9D8CsohyDmYVqa4m1zqeYuzxFXvdds25MXHkXir2V4mnxmuNCrCt1uoaHmxwNdBNqYoiBZR2icCVGnw9Vciwimvj3zdLHM38L8U5e1yFVPosa5uifZrBmLwtBVUXXin1VyRDifY997jKYDvaarbCbDkY43n7X3Uxf564shg9b1sfU4cRBCETa8YTRLEunmXUFqsyyYnrXAoE7H5XRFTGDobgtGKkwZqYZGojReotmVaYagz8h8JaaVg2UAkwQxzUsZcYh5xX12SLjsAGxj8MjHT9asNoqNNBePJUZpqTWUSKQRsxhRr81a5mmtRMGEzLxHzAEDS7KMkhMBNZGQgeteggbDvSWRgazxUUwcHeRDV3iZPoBs61A5GppDrQJx49ApeWmjrhvJeT6kiWWfLPsS8UkyutKc39x7Tp5TvxzH6dL4kQCcwLyCtu2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5c92d8aeb035ce334d08b20242d8d4f0ad84977b0dde75880f71125361be4710",
"mainChain": true
},
{
"boxId": "0bb50887deb78d8947b73706559bc69551c665d92287549d04cc5bbd9a22afad",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 1000000,
"index": 2,
"globalIndex": 45019990,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
"address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cbb407f2e14ee4323b2fb6e7b768387eaf799365b8be77ade1ea69aa0d1f16e0",
"mainChain": true
},
{
"boxId": "a519735895e564e5e23d0836963e95d4963e40aaafae0c5713b7d49e3e1b607f",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 50000000,
"index": 3,
"globalIndex": 45019991,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "76a50d499ecf8610c549b21791a271b2afc5f4f564120d6566ebc43487f2cf51",
"mainChain": true
},
{
"boxId": "8e5c00a81a153f13d63ee8c4776fa2c607cfa5ea5a9ad6892b9c230948093685",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 2350000,
"index": 4,
"globalIndex": 45019992,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"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": "216f85a1159fc3102d4026ac0661c51eec0c0a02aa5759c45e2ab0d737bddabe",
"mainChain": true
},
{
"boxId": "801e8090971e954d10d3bee89199dde12df73d048d6d4141bce8661e3715f066",
"transactionId": "8dec680dc6bce9fae4e9c1e4ca6d7372cb51aea29dd7c1079b8a0298d9fbb26b",
"blockId": "3f735457aac3450471d4c65c421635305fdc60d33395521baf875527a7412fe2",
"value": 2137510038720,
"index": 5,
"globalIndex": 45019993,
"creationHeight": 1422703,
"settlementHeight": 1422705,
"ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
"address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
"assets": [
{
"tokenId": "f1c0ace46ed88730a270c584df14b5b4383e66ead537aafd51cb63e455ad9e65",
"index": 0,
"amount": 14064755982,
"name": "Ergo_886b7721_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 1,
"amount": 3721917809,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
"index": 2,
"amount": 1633410256,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "7a41e485cbab1822839983765bb0b7b884782fd7b3ad5f6469be6267e34485b0",
"index": 3,
"amount": 1,
"name": "ergopad Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a2e122a89c44e5418f2f88183568fb53ff7964b3e3eb9f26db8fd8a14a8db805",
"index": 4,
"amount": 1,
"name": "RSV Ram [ERGnomes Sigma Auctions] #RSV01",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "82a4bcf8b56ed3405e99eb8f8fcab7dda1c79a44b6e55db3fadd13feee2d0b66",
"index": 5,
"amount": 1,
"name": "ERGnomes Loyalty Crypto vs Fiat [70/221]",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
"index": 6,
"amount": 81,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "00b42b41cb438c41d0139aa8432eb5eeb70d5a02d3df891f880d5fe08670c365",
"index": 7,
"amount": 2654335507,
"name": "CRUX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 8,
"amount": 497510000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "2c4eb9de6089d7637c24d24b80903bcced518d448c891e50458f1032c5f7e534",
"index": 9,
"amount": 1,
"name": "Crux Finance Phase 1 Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ca0ed0092eaaa22b6bfcc407d221b3aaa5c8f643e843cb6aafff6af955947675",
"index": 10,
"amount": 2066618283,
"name": "PDV",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "91387b9800730a4a84d1e060dacbab51848e8aa27b4f7e710c1c2acf89624957",
"index": 11,
"amount": 1,
"name": "Ergnome #866 Gelatoswap the Tasty Fairy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "43d405fed3ed139184dafeaa03c39f8b404802b86d898166e663b294ebb5a5dc",
"index": 12,
"amount": 1,
"name": "Ergnome #537 Jerry the PoS Holder",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 13,
"amount": 1053,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "d9d7f1b48a31aeff2c0da0edc30e30c2fa9a9c46ab4b1f7eaf75b30fd97101c3",
"index": 14,
"amount": 1,
"name": "Crux Finance Team Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 15,
"amount": 69420,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "436f8f48a3650c7be728e2a331e9a6e818c31f27163ee6e5257fcfd2d8423dc3",
"index": 16,
"amount": 1,
"name": "EGIO Stake Pool Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 17,
"amount": 1763271953,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "08be8ef89bb9c2663df6b821ffbc9217ca16c6654020a8b5fe1c74e37c2782fd",
"index": 18,
"amount": 20808281136,
"name": "Ergo_00b42b41_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c76a3f1aa460e73d2b927db30d3c49bbd6de5ea13a550ce7ba7959e1f0d8748d",
"index": 19,
"amount": 1,
"name": "AHT Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "84425ab29d7dd1ef15618dc25ab5a2c2f8ab794087e644b3890ff349838efcbb",
"index": 20,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 21,
"amount": 71497,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 22,
"amount": 1000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cd18b0bfab6aaad628baa4191f2ff314d2899cf6bfef267a5463bc4433e702f9",
"index": 23,
"amount": 1,
"name": "Blue Hackagnome #ERG_009 [Ergohack II special]",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cbd75cfe1a4f37f9a22eaee516300e36ea82017073036f07a09c1d2e10277cda",
"index": 24,
"amount": 1000000000000,
"name": "hodlERG3",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 25,
"amount": 44641581,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ff7f67f63681de1dbfa89aca6a1a0daf5b1a6723e199a40ac680da2938d9dd2a",
"index": 26,
"amount": 1,
"name": "Paideia Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "879c71d7d9ad213024962824e7f6f225b282dfb818326b46e80e155a11a90544",
"index": 27,
"amount": 26859498242,
"name": "ERG_Paideia_LP",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cbb407f2e14ee4323b2fb6e7b768387eaf799365b8be77ade1ea69aa0d1f16e0",
"mainChain": true
}
],
"size": 5774,
"isUnconfirmed": false
}