Transaction
ID: c8a010a0f4...66bd
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 343,765
Total coins transferred: 1 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000764 ERG
Raw Transaction Data
{
"id": "c8a010a0f4de99555581cc92254a138e49be574e4878544e76a6e2f56a5866bd",
"blockId": "5c5fbdc2552048d54383a9ec1666373e77f3bf35f3efb452e998802caacef629",
"inclusionHeight": 1419825,
"timestamp": 1734520436519,
"index": 2,
"globalIndex": 8281621,
"numConfirmations": 343765,
"inputs": [
{
"boxId": "2a7207c0b4e7de5c2f94f84fdb32f11ef57cda37511f75471a0d9cc9e1f18f9d",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "82590f971cb70ea8496f9b55d966c6bfb441e12b5948dbbcde170f3b9462f4f9",
"outputTransactionId": "68a242a1ea8a1bc76ec299cf04b6180f20802a58cc2ad8830dc98e0c8e1e3209",
"outputIndex": 1,
"outputGlobalIndex": 43477643,
"outputCreatedAt": 1382739,
"outputSettledAt": 1382742,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-8,109,-40,-16,-93,-101,-91,-112,50,-122,91,40,67,64,29,70,1,-48,26,110,119,-116,74,-4,-83,-121,-109,40,-49,-77,19,-100)",
"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 func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val coll3 = Coll[Byte](\n -87.toByte, 85.toByte, -114.toByte, 65.toByte, -122.toByte, -53.toByte, -43.toByte, -86.toByte, 87.toByte, 35.toByte, -88.toByte, 82.toByte, -44.toByte, -63.toByte, -36.toByte, 101.toByte, 125.toByte, -98.toByte, -127.toByte, 67.toByte, -126.toByte, -1.toByte, -120.toByte, -115.toByte, 90.toByte, -118.toByte, -20.toByte, 82.toByte, 21.toByte, 49.toByte, 48.toByte, 29.toByte\n )\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 8.toByte) {(\n val box11 = func1((OUTPUTS, {(box11: Box) => box11.tokens(0)._1 }(SELF)))(0)\n val coll12 = func2(box11).getMany(Coll[Coll[Byte]](coll3, 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(func1((INPUTS, placeholder[Coll[Byte]](0)))(0).propositionBytes))), opt4.get)\n allOf(Coll[Boolean](SELF.tokens == box11.tokens, SELF.value <= box11.value, blake2b256(box11.propositionBytes) == func5(coll12(0)), coll12(1).isDefined))\n )} else { false } }(b6), (b6 == 7.toByte) && {(tuple9: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box11 = OUTPUTS(i7)\n val l12 = box11.value\n val l13 = SELF.value\n val coll14 = box11.propositionBytes\n val coll15 = SELF.bytesWithoutRef\n val coll16 = SELF.propositionBytes\n val i17 = SELF.creationInfo._1\n val coll18 = box11.bytesWithoutRef\n val i19 = box11.creationInfo._1\n allOf(Coll[Boolean](l12 >= l13 - 2000000L, blake2b256(coll14) == func5(func2(tuple9._2).getMany(Coll[Coll[Byte]](tuple9._1), opt4.getOrElse(Coll[Byte]()))(0)), coll15.slice(func8(l13) + coll16.size + func8(i17.toLong), coll15.size) == coll18.slice(func8(l12) + coll14.size + func8(i19.toLong), coll18.size), anyOf(Coll[Boolean](i19 - i17 >= 504000, coll16 != coll14))))\n )} }((coll3, SELF)))))\n}",
"address": "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",
"assets": [
{
"tokenId": "308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71",
"index": 0,
"amount": 1,
"name": "Sigmanauts DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "645fd262e3eaaa9b5a03a25183a501df06e007d53e3bc2c222cae5c970ed77dd6b06072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "cd2a8ccd4612cbf6bc2015457322b01a54ac8d0dca4ed1b77fa8c3f2c19d9d65",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "58c65dd532d1d83183b05857567ef19294411be6a9cbceab209bbc2e5fc0efbf",
"outputTransactionId": "b5e890aa73dab8f69f651442fa3238a8fe840773c897f1f88e2558d1a4fd72f7",
"outputIndex": 2,
"outputGlobalIndex": 44884541,
"outputCreatedAt": 1419097,
"outputSettledAt": 1419099,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(56,-27,-50,81,59,-8,80,-104,-24,-12,118,-94,66,-121,-4,-53,-14,115,-55,-15,-99,82,46,-32,121,-112,-30,-33,114,30,59,-68)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val i4 = INPUTS.size\n val coll5 = placeholder[Coll[Byte]](1)\n val func6 = {(tuple6: (Coll[Box], Coll[Byte])) =>\n tuple6._1.filter({(box8: Box) => box8.tokens.exists({(tuple10: (Coll[Byte], Long)) => tuple10._1 == tuple6._2 }) })\n }\n val coll7 = placeholder[Coll[Byte]](0)\n val func8 = {(box8: Box) => box8.R4[AvlTree].get }\n val func9 = {(coll9: Coll[Box]) =>\n coll9.flatMap({(box11: Box) => box11.tokens }).fold(0L, {(tuple11: (Long, (Coll[Byte], Long))) => tuple11._1 + tuple11._2._2 })\n }\n if (getVar[Byte](0.toByte).get == 12.toByte) {\n sigmaProp(\n {(coll10: Coll[Coll[Byte]]) =>\n allOf(Coll[Boolean](preHeader3.height - SELF.creationInfo._1 > 788400, coll10.forall({(coll12: Coll[Byte]) => !func2((OUTPUTS, coll12)) }), i4 == 1))\n }(Coll[Coll[Byte]](func1(SELF)._1))\n )\n } else {(\n val box10 = func6((CONTEXT.dataInputs, coll5))(0)\n val box11 = func6((OUTPUTS, coll7))(0)\n val avlTree12 = func8(box11)\n val box13 = func6((INPUTS, coll7))(0)\n val coll14 = {(box14: Box) => box14.R7[Coll[(Coll[Byte], Coll[Byte])]].get }(SELF)\n val coll15 = {(box15: Box) => box15.R6[Coll[(Coll[Byte], Coll[Byte])]].get }(SELF)\n val coll16 = {(box16: Box) => box16.R5[Coll[Coll[Byte]]].get }(SELF)\n val avlTree17 = if (coll16.size > 0) { func8(box13).remove(coll16, getVar[Coll[Byte]](2.toByte).get).get } else { func8(box13) }\n val avlTree18 = if (coll15.size > 0) { avlTree17.update(coll15, getVar[Coll[Byte]](3.toByte).get).get } else { avlTree17 }\n sigmaProp(\n allOf(\n Coll[Boolean](\n i4 == 2, allOf(\n Coll[Boolean](\n {(box19: Box) => box19.tokens(0) }(box10)._1 == coll5, {(box19: Box) => box19.R4[Coll[Int]].get(0) }(box10).toLong == {(box19: Box) =>\n box19.R4[Coll[Long]].get(0)\n }(SELF), {(box19: Box) => box19.R4[Coll[Int]].get(1) }(box10).toLong == {(box19: Box) => box19.R4[Coll[Long]].get(1) }(SELF)\n )\n ), preHeader3.timestamp >= {(box19: Box) => box19.R4[Coll[Long]].get(3) }(SELF), !func2((OUTPUTS, func1(SELF)._1)), allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == {(opt19: Option[Coll[Byte]]) => opt19.get.slice(1, 33) }(\n avlTree12.getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n -87.toByte, 85.toByte, -114.toByte, 65.toByte, -122.toByte, -53.toByte, -43.toByte, -86.toByte, 87.toByte, 35.toByte, -88.toByte, 82.toByte, -44.toByte, -63.toByte, -36.toByte, 101.toByte, 125.toByte, -98.toByte, -127.toByte, 67.toByte, -126.toByte, -1.toByte, -120.toByte, -115.toByte, 90.toByte, -118.toByte, -20.toByte, 82.toByte, 21.toByte, 49.toByte, 48.toByte, 29.toByte\n )\n ), getVar[Coll[Byte]](1.toByte).get\n )(0)\n ), box11.tokens == box13.tokens, box11.value >= box13.value, avlTree12.digest == if (coll14.size > 0) {\n avlTree18.insert(coll14, getVar[Coll[Byte]](4.toByte).get).get\n } else { avlTree18 }.digest\n )\n ), OUTPUTS.size == 2, func9(INPUTS) == func9(OUTPUTS) + 1L\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f86dd8f0a39ba59032865b2843401d4601d01a6e778c4afcad879328cfb3139c",
"index": 0,
"amount": 1,
"name": "Sigmanauts Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11050e020080cee596fb6400",
"sigmaType": "Coll[SLong]",
"renderedValue": "[7,1,0,1734519600000,0]"
},
"R5": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R6": {
"serializedValue": "0c3c0e0e0120039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe425107f2b5dba059cef01463ab770bc8c8a2aeaf0153e4c9b378c492596976d7fe7e8900000022696d2e706169646569612e7374616b696e672e636f6e7472616374732e5374616b6500000005312e302e3100",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe42,07f2b5dba059cef01463ab770bc8c8a2aeaf0153e4c9b378c492596976d7fe7e8900000022696d2e706169646569612e7374616b696e672e636f6e7472616374732e5374616b6500000005312e302e3100]]"
},
"R7": {
"serializedValue": "0c3c0e0e00",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[]"
}
}
}
],
"dataInputs": [
{
"boxId": "260fdc4f415a70f1f489be2ffcf6434cdf3328b54cf043a63f1017d7589abc9e",
"value": 2000000,
"index": 0,
"outputBlockId": "5c5fbdc2552048d54383a9ec1666373e77f3bf35f3efb452e998802caacef629",
"outputTransactionId": "07a5433f4ccf5b2081fffc0a76cdd81e95b213c0478f387084c0dcbdb6792f0e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "10020e02",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,1]"
},
"R5": {
"serializedValue": "110480cee596fb64020002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1734519600000,1,0,1]"
},
"R6": {
"serializedValue": "64ad979856921fab6de666c4b302824f43e32df33d57cfe5229031daba8379537501072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e16557064617465207374616b6520636f6e747261637473",
"sigmaType": "Coll[SByte]",
"renderedValue": "557064617465207374616b6520636f6e747261637473"
}
}
}
],
"outputs": [
{
"boxId": "1955219d5a5121f5270795b79cd6356d82cadd4f84821c19be0bb52ede76241f",
"transactionId": "c8a010a0f4de99555581cc92254a138e49be574e4878544e76a6e2f56a5866bd",
"blockId": "5c5fbdc2552048d54383a9ec1666373e77f3bf35f3efb452e998802caacef629",
"value": 1000000000,
"index": 0,
"globalIndex": 44909675,
"creationHeight": 1419823,
"settlementHeight": 1419825,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-8,109,-40,-16,-93,-101,-91,-112,50,-122,91,40,67,64,29,70,1,-48,26,110,119,-116,74,-4,-83,-121,-109,40,-49,-77,19,-100)",
"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 func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val coll3 = Coll[Byte](\n -87.toByte, 85.toByte, -114.toByte, 65.toByte, -122.toByte, -53.toByte, -43.toByte, -86.toByte, 87.toByte, 35.toByte, -88.toByte, 82.toByte, -44.toByte, -63.toByte, -36.toByte, 101.toByte, 125.toByte, -98.toByte, -127.toByte, 67.toByte, -126.toByte, -1.toByte, -120.toByte, -115.toByte, 90.toByte, -118.toByte, -20.toByte, 82.toByte, 21.toByte, 49.toByte, 48.toByte, 29.toByte\n )\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 8.toByte) {(\n val box11 = func1((OUTPUTS, {(box11: Box) => box11.tokens(0)._1 }(SELF)))(0)\n val coll12 = func2(box11).getMany(Coll[Coll[Byte]](coll3, 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(func1((INPUTS, placeholder[Coll[Byte]](0)))(0).propositionBytes))), opt4.get)\n allOf(Coll[Boolean](SELF.tokens == box11.tokens, SELF.value <= box11.value, blake2b256(box11.propositionBytes) == func5(coll12(0)), coll12(1).isDefined))\n )} else { false } }(b6), (b6 == 7.toByte) && {(tuple9: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box11 = OUTPUTS(i7)\n val l12 = box11.value\n val l13 = SELF.value\n val coll14 = box11.propositionBytes\n val coll15 = SELF.bytesWithoutRef\n val coll16 = SELF.propositionBytes\n val i17 = SELF.creationInfo._1\n val coll18 = box11.bytesWithoutRef\n val i19 = box11.creationInfo._1\n allOf(Coll[Boolean](l12 >= l13 - 2000000L, blake2b256(coll14) == func5(func2(tuple9._2).getMany(Coll[Coll[Byte]](tuple9._1), opt4.getOrElse(Coll[Byte]()))(0)), coll15.slice(func8(l13) + coll16.size + func8(i17.toLong), coll15.size) == coll18.slice(func8(l12) + coll14.size + func8(i19.toLong), coll18.size), anyOf(Coll[Boolean](i19 - i17 >= 504000, coll16 != coll14))))\n )} }((coll3, SELF)))))\n}",
"address": "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",
"assets": [
{
"tokenId": "308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71",
"index": 0,
"amount": 1,
"name": "Sigmanauts DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "6411e735ff01d47665b2b67e7d33f45a7eea99e5262ebb83791e1208f58aaaa00d06072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "6a0107ac5dfabf21418217f5f73dd2e1afbc586d66a76f751526c86e2ee020cc",
"mainChain": true
},
{
"boxId": "9176ac5503b0a2d8024323d58e91af255bc0eea9616fd08d332f97514c474ed8",
"transactionId": "c8a010a0f4de99555581cc92254a138e49be574e4878544e76a6e2f56a5866bd",
"blockId": "5c5fbdc2552048d54383a9ec1666373e77f3bf35f3efb452e998802caacef629",
"value": 2000000,
"index": 1,
"globalIndex": 44909676,
"creationHeight": 1419823,
"settlementHeight": 1419825,
"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",
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