Transaction
ID: 83043ce22c...73ff
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.64 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.61 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
238.72
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 699,904
Total coins transferred: 1.64 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001936 ERG
Raw Transaction Data
{
"id": "83043ce22c62ab1b4460f8b9cef66bcd5c2eff2a5d3d70badf23339b2c3973ff",
"blockId": "a9cbbb0afd072c0acbdbb7b6541d2b61905a1b1c5e7ad4c260cf16dcdc00bf13",
"inclusionHeight": 1064009,
"timestamp": 1691423658782,
"index": 3,
"globalIndex": 5632402,
"numConfirmations": 699904,
"inputs": [
{
"boxId": "01d3be4dd110c8360c83498d5e3f6f418e8cdd0b39c591747d886a3730eafd13",
"value": 1000000,
"index": 0,
"spendingProof": "a7dc188865b05572e391971fe73266c873c4824031a0dac28f00100083c6b7eeca5556ecf13f19dff7ad049d5dd920122f97f2a96c7d738f",
"outputBlockId": "252c4b59565d0ad8763b8d5f51103f55cd1777e0cef4e0f567d1c861bdff0f58",
"outputTransactionId": "d2fe3888302f41e55ae22c9614c401cb881b8409a230295a23191a3a309cbc55",
"outputIndex": 0,
"outputGlobalIndex": 31334443,
"outputCreatedAt": 1056877,
"outputSettledAt": 1056879,
"ergoTree": "0008cd020ce00776db58773faa80d930a319cfd3438f8ce66fcad0a252f2162cc864be22",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ce0077,8058d1,...)))}",
"address": "9ecjPiir6Xngut4SKzvAGr7TZoBKjP8rFXDtcstezgimNbrr1Rf",
"assets": [
{
"tokenId": "39853263e919d101c4546618d6c444466d6abc58c8e73723585746750c17e4cf",
"index": 0,
"amount": 1,
"name": "DUMBeenz #055",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "d943b55aae558c2653d6a72a5c1a92745dd198bd0d43c2076b0f9caab929ac82",
"value": 1638800000,
"index": 1,
"spendingProof": "9b5f17ad6e4a64dee6aaee4b2e5f62ea918921979457581346d7e20f33d9cc35289c7da8bcd8e1aca0898bcb4816c05b243ba100ff259d75",
"outputBlockId": "6115ee8427fed42fc56a0337367acc52bf57705d5e602ae6de1f8d4be3c844b5",
"outputTransactionId": "95d3b3525565100b4c22d95d96f877c9c533457c659242471e5c236723bda3f4",
"outputIndex": 2,
"outputGlobalIndex": 31540850,
"outputCreatedAt": 1062586,
"outputSettledAt": 1062589,
"ergoTree": "0008cd03a96aa9a3f5890e92e21f03037336b7aef0f30d4651fce589553a4181d0e67c12",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a96aa9,7429dd,...)))}",
"address": "9hkRDGnY8WK4xyHysX5kG3cv6FjmJsuj7N6iooBUoD48EFePoSL",
"assets": [
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 0,
"amount": 97838640,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "29ede19836e57eb1125650cdf34220561d39fa162734e2dcf79bb3bdcdea658f",
"index": 1,
"amount": 1,
"name": "BFT Rally 0562",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d86d965fd46ba0a0135ecb7ffe2ca982f16df3e3d8ee30640bb27681fe952c97",
"index": 2,
"amount": 1,
"name": "BFT Rally 0661",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "56361d025edb571205224fb676b10df5fe17386c85993f65058ee21805d255f3",
"index": 3,
"amount": 1,
"name": "BFT Rally 0755",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2185c537931459e453ca1969e34ec7303e02734c7930a70c76665ea5ebb48b93",
"index": 4,
"amount": 1,
"name": "BFT Rally 0957",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "24edbff22c9b1652d78e8680774be29093a2f8791c11b4b432c51baad788aab0",
"index": 5,
"amount": 4,
"name": "Blue Lights",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 6,
"amount": 3876496,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "c0ebd494dfc546df4a73b6cd07c663aa39a81610e0122979f9437ea538bdf68b",
"index": 7,
"amount": 4,
"name": "Cyberlykos",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0078cf1f0f7e698f7185c75ece8d699050aeabafe66ac56247aed1851fbedb30",
"index": 8,
"amount": 3,
"name": "Cybernetic Shine",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a4e32ea632d57962be91005e2377f961d54cc054ad2dd2bf26615d6eede88b3e",
"index": 9,
"amount": 1,
"name": "DUMBeenz #010",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e88f15f7f14c1dcf86ccfc9803dd75c2e6e4ade3afcad2ab2cb4a88ca5aa35b",
"index": 10,
"amount": 1,
"name": "DUMBeenz #018",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a0ffe37254a310fa5c9c6e27beeff019eebcb11224034b3971a92a7b57638abf",
"index": 11,
"amount": 1,
"name": "DUMBeenz #031",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "dcb55282874107ee4e624a74e371dbcf8e7c4cf0d2a942fa664054dfbfc0d9bf",
"index": 12,
"amount": 1,
"name": "DUMBeenz #045",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "27219cabc956325f0a4af71d0754273479767d3c3199bd9738b3493ac3eb2675",
"index": 13,
"amount": 1,
"name": "DUMBeenz #047",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "22d976db3fc42041c93fe27b6832c977bcc6944329c06b3eb90cc4c2fd02c3b6",
"index": 14,
"amount": 1,
"name": "DUMBeenz #051",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c0841e35da788fa4862e42806dea4698b67da0aa85384683c983aae5604c1442",
"index": 15,
"amount": 1,
"name": "DUMBeenz #052",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "238bd18245f21b3d3c36cec335dd13b2813c80d84fe00102c6d30446578df016",
"index": 16,
"amount": 1,
"name": "Ergnome #860 Gelatoswap the Tasty Fairy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ac4efc6ace0b29a10f06b9eeda27e4a13a888b7c9229db98bcfc65ddb8e1278",
"index": 17,
"amount": 4,
"name": "Neon XMAS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "79c6487bd58e1d4a7f49d6bce3dc968a9666ae8b7fc45e24e6fe0f2700130685",
"index": 18,
"amount": 2,
"name": "Hashrun",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "930243bcf1b1f51bf3579f23c0887c68444d0bf19104043ff53f9408dcc4d4d2",
"index": 19,
"amount": 5,
"name": "Trailblazer",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "db8fbcd07efb1a0a211ac81f813a14f6a0cfc85f073992271f3d337609719849",
"index": 20,
"amount": 1,
"name": "Vertergo_Halloween 2022_00001",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "573d9010b852894b9f99bc072933e6cfa115b490f857451e385dbc2e8448cf7c",
"value": 4219364,
"index": 0,
"outputBlockId": "b3cfb684232fe21e89a8132c966b08c6772b72369822c397d25a7bc8e98c9bda",
"outputTransactionId": "aa58e9d389d3044fda4201159d5d62752e0820f8d0b8506cec28ac4fd0ea826e",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
"serializedValue": "0580dac409",
"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "0428",
"sigmaType": "SInt",
"renderedValue": "20"
}
}
}
],
"outputs": [
{
"boxId": "cd1a9f240296b99e73c74e8a04c25663f8921014de4b43ce26e5271aff151faf",
"transactionId": "83043ce22c62ab1b4460f8b9cef66bcd5c2eff2a5d3d70badf23339b2c3973ff",
"blockId": "a9cbbb0afd072c0acbdbb7b6541d2b61905a1b1c5e7ad4c260cf16dcdc00bf13",
"value": 15000000,
"index": 0,
"globalIndex": 31591860,
"creationHeight": 1064007,
"settlementHeight": 1064009,
"ergoTree": "103e0402040005000400040404000402040004000400040204060500040604000504040204d00f0400040404140404040004000400040004000406040005d00f05d00f05d00f0400040404140406040005d00f040405d00f0400040604060400050001000101040204000402040004000500040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed824d601db6308a7d602830002d603c1a7d604b27201730001860272027203d6058c720402d606c6a70611d607e47206d608b27207730100d609e4c6a7070ed60a95ec8f72057208948c720401720973027205d60be4c6a7040ed60cdb6903db6503fed60de4c6a70559d60e8c720d01d60f8c720d02d610b2db6501fe730300d611e4c672100404d612b2a5730401a7d613db63087212d614c17212d615860272027214d616b272137305017215d617b2a5730601a7d618db63087217d619c17217d61a860272027219d61bb27218730701721ad61ce4c6a7080ed61d93c5b2a4730800c5a7d61eb2a5730900d61fdb6308721ed620c1721ed621860272027220d622b2721f730a017221d6238c722202d624b27207730b01730cea02eb02ea02d18f720a7208cdeeb4720b730db1720bd19591720c720e9591720c720fd813d625b1a5d626b2a5730e00d6279c730fe4c672100605d6287212d6297213d62a7214d62b7215d62c7216d62d7217d62ee5c6722d0463b2a5997225731000d62fc6722e0404d630e6722fd631999973117211957230d801d631e5722f731295ec8f723173139272317314723195ed9372317315e6c6722e050c4c0eb0e5c6722e050c4c0e83004c0e7316d90132404c0e9a8c7232018c8c7232020273177318d6327218d6337219d634721ad635721bd636b2a5731901a7d637b27201731a00eced8f720a720896830401937225731b93db63087226720192c17226997203722793c27226720bed92720a720896830601721deded93c27228720b928c722c029591b17209731c9d9c720a7e723105731d999d9c720a7e723105731e7227938c722c017209eded93c2722de4c67210050e928c7235029d9c720a7e721105731f938c723501720993c27236721c937237b2db63087236732000ed957230d801d638e4722f95ec8f723873219272387322d802d639b2a5732301a7d63ab2db6308723973240186027202c17239eded928c723a029d9c720a7e7238057325938c723a01720993c27239c2722e95ed9372387326e6c6722e050c4c0ed802d639e5c6722e050c4c0e83004c0ed63ab1723993b4ad7239d9013b4c0e86028c723b019d9c7e8c723b0205720a73277328723aadb4a573299a732a723ad9013b63d801d63db2db6308723b732b0186027202c1723b95938c723d0172098602c2723b8c723d0286027202732c732d732e93cbc3722e8c723701d808d625721ed626721fd6277220d6287221d6297222d62ae4c672100711d62bb2a5732f00d62cb2db6308722b73300186027202c1722b96830c01721d938c7229017209927223a29a720ab27207733100720893b27201733200b2722673330093c27225c2a793e4c67225040e720b93e4c6722505598602720e95ed9172247334d801d62d722392722d7224720c959099720f720cb2722a7335009a720fb2722a733600720f93c672250611720693e4c67225070e720993b172269593b1720973377338733993c2722b721ceced938c722c017209928c722c02720a93720a733a733bd1938cb2db63087210733c0001733d",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 2\n5: 0\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 3\n12: 0\n13: 3\n14: 0\n15: 2\n16: 1\n17: 1000\n18: 0\n19: 2\n20: 10\n21: 2\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 3\n28: 0\n29: 1000\n30: 1000\n31: 1000\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 1\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 1\n55: 0\n56: 1\n57: 2\n58: 0\n59: false\n60: 0\n61: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val coll11 = SELF.R4[Coll[Byte]].get\n val l12 = CONTEXT.preHeader.timestamp\n val tuple13 = SELF.R5[(Long, Long)].get\n val l14 = tuple13._1\n val l15 = tuple13._2\n val box16 = CONTEXT.dataInputs(placeholder[Int](3))\n val i17 = box16.R4[Int].get\n val box18 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll19 = box18.tokens\n val l20 = box18.value\n val tuple21 = (coll2, l20)\n val tuple22 = coll19.getOrElse(placeholder[Int](5), tuple21)\n val box23 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll24 = box23.tokens\n val l25 = box23.value\n val tuple26 = (coll2, l25)\n val tuple27 = coll24.getOrElse(placeholder[Int](7), tuple26)\n val coll28 = SELF.R8[Coll[Byte]].get\n val bool29 = INPUTS(placeholder[Int](8)).id == SELF.id\n val box30 = OUTPUTS(placeholder[Int](9))\n val coll31 = box30.tokens\n val l32 = box30.value\n val tuple33 = (coll2, l32)\n val tuple34 = coll31.getOrElse(placeholder[Int](10), tuple33)\n val l35 = tuple34._2\n val l36 = coll7.getOrElse(placeholder[Int](11), placeholder[Long](12))\n sigmaProp(l10 < l8) && proveDlog(decodePoint(coll11.slice(placeholder[Int](13), coll11.size))) || sigmaProp(if (l12 > l14) { if (l12 > l15) {(\n val i37 = OUTPUTS.size\n val box38 = OUTPUTS(placeholder[Int](14))\n val l39 = placeholder[Long](15) * box16.R6[Long].get\n val box40 = box18\n val coll41 = coll19\n val l42 = l20\n val tuple43 = tuple21\n val tuple44 = tuple22\n val box45 = box23\n val box46 = box45.R4[Box].getOrElse(OUTPUTS(i37 - placeholder[Int](16)))\n val opt47 = box46.R4[Int]\n val bool48 = opt47.isDefined\n val i49 = placeholder[Int](17) - i17 - if (bool48) {(\n val i49 = opt47.getOrElse(placeholder[Int](18))\n if ((i49 < placeholder[Int](19)) || (i49 >= placeholder[Int](20))) { i49 } else { if ((i49 == placeholder[Int](21)) && box46.R5[Coll[(Coll[Byte], Int)]].isDefined) { box46.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](22), {(tuple50: (Int, (Coll[Byte], Int))) => tuple50._1 + tuple50._2._2 }) } else { placeholder[Int](23) } }\n )} else { placeholder[Int](24) }\n val coll50 = coll24\n val l51 = l25\n val tuple52 = tuple26\n val tuple53 = tuple27\n val box54 = OUTPUTS.getOrElse(placeholder[Int](25), SELF)\n val tuple55 = coll1(placeholder[Int](26))\n ((l10 < l8) && allOf(Coll[Boolean](i37 == placeholder[Int](27), box38.tokens == coll1, box38.value >= l3 - l39, box38.propositionBytes == coll11))) || ((l10 >= l8) && allOf(Coll[Boolean](bool29, ((box40.propositionBytes == coll11) && (tuple44._2 >= if (coll9.size > placeholder[Int](28)) { l10 * i49.toLong / placeholder[Long](29) } else { l10 * i49.toLong / placeholder[Long](30) - l39 })) && (tuple44._1 == coll9), ((box45.propositionBytes == box16.R5[Coll[Byte]].get) && (tuple53._2 >= l10 * i17.toLong / placeholder[Long](31))) && (tuple53._1 == coll9), box54.propositionBytes == coll28, tuple55 == box54.tokens(placeholder[Int](32)), if (bool48) {(\n val i56 = opt47.get\n if ((i56 < placeholder[Int](33)) || (i56 >= placeholder[Int](34))) {(\n val box57 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n val tuple58 = box57.tokens.getOrElse(placeholder[Int](36), (coll2, box57.value))\n ((tuple58._2 >= l10 * i56.toLong / placeholder[Long](37)) && (tuple58._1 == coll9)) && (box57.propositionBytes == box46.propositionBytes)\n )} else { if ((i56 == placeholder[Int](38)) && box46.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n val coll57 = box46.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n val i58 = coll57.size\n coll57.map({(tuple59: (Coll[Byte], Int)) => (tuple59._1, tuple59._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i58) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i58).map({(box59: Box) =>\n val tuple61 = box59.tokens.getOrElse(placeholder[Int](43), (coll2, box59.value))\n if (tuple61._1 == coll9) { (box59.propositionBytes, tuple61._2) } else { (coll2, placeholder[Long](44)) }\n })\n )} else { placeholder[Boolean](45) } }\n )} else { placeholder[Boolean](46) } && (blake2b256(box46.bytes) == tuple55._1))))\n )} else {(\n val box37 = box30\n val coll38 = coll31\n val l39 = l32\n val tuple40 = tuple33\n val tuple41 = tuple34\n val coll42 = box16.R7[Coll[Long]].get\n val box43 = OUTPUTS(placeholder[Int](47))\n val tuple44 = box43.tokens.getOrElse(placeholder[Int](48), (coll2, box43.value))\n allOf(Coll[Boolean](bool29, tuple41._1 == coll9, l35 >= max(l10 + coll7(placeholder[Int](49)), l8), coll1(placeholder[Int](50)) == coll38(placeholder[Int](51)), box37.propositionBytes == SELF.propositionBytes, box37.R4[Coll[Byte]].get == coll11, box37.R5[(Long, Long)].get == (l14, if ((l36 > placeholder[Long](52)) && \n val l45 = l35\n l45 >= l36\n ) { l12 } else { if (l15 - l12 <= coll42(placeholder[Int](53))) { l15 + coll42(placeholder[Int](54)) } else { l15 } }), box37.R6[Coll[Long]] == opt6, box37.R7[Coll[Byte]].get == coll9, coll38.size == if (coll9.size == placeholder[Int](55)) { placeholder[Int](56) } else { placeholder[Int](57) }, box43.propositionBytes == coll28, ((tuple44._1 == coll9) && (tuple44._2 >= l10)) || (l10 == placeholder[Long](58))))\n )} } else { placeholder[Boolean](59) }) && sigmaProp(box16.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))\n}",
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"sigmaType": "(SLong, SLong)",
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
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}