Transaction
ID: 95620dbe00...fca6
Inputs (14)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
4.45 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.8103 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.64 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 772,872
Total coins transferred: 4.45 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000266 ERG
Raw Transaction Data
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
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"index": 0,
"amount": 211000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 342000,
"name": "COMET",
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"type": "EIP-004"
},
{
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},
{
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{
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{
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"type": "EIP-004"
},
{
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"amount": 1332,
"name": "Oatmeal",
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"type": "EIP-004"
},
{
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"index": 7,
"amount": 298,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 9223372036854776000,
"name": "Spectrum YF staking bundle",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "801d371889cfbcf7517468eaad2193cdf933e68d702e245670e1f9d7405e4092",
"index": 9,
"amount": 9223372036854776000,
"name": "tSPF_706fb118_f3ad0c62_LP_YF",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38701492cd0286de81c428bc71945a88127429b539cd6682f630f4688442a5e0",
"index": 10,
"amount": 9223372036854776000,
"name": "tSPF_706fb118_c07bde48_LP_YF",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b064131bda64afb940db2fb4ba63853645df3109a85125c30fcc79e49adb690e",
"index": 11,
"amount": 4088,
"name": "706fb118_f3ad0c62_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "22e3fb47cf878144a8052e1f8fe6b09c16188ef1fe5021d52a1e17a75a4bfa5a",
"index": 12,
"amount": 9223372036854776000,
"name": "Spectrum YF staking bundle",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c07bde48465708577d0e0b401300245987d297de2a6004116c825ba09dd26b7d",
"index": 13,
"amount": 2998,
"name": "tSigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f3ad0c625e63a784f42355edbee61344b012caaeab478142aa9a87e147c9533e",
"index": 14,
"amount": 252178,
"name": "tSigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "442a772121da98f220639da79d637342bbed8ac9df319c08db8584799cab49fc",
"index": 15,
"amount": 1000000,
"name": "Put_A_SPF_ERG_60000000_2023-02-28_per_1",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "05f4dfd1294c3716cdb5ae0eb95c14c4ce83c1477edb670859c6f86b1e541d2e",
"index": 16,
"amount": 100,
"name": "Call_A_ergopad_ERG_4000000_2023-03-18_per_10",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231",
"index": 17,
"amount": 1,
"name": "Call_A_COMET_ERG_7485_2023-03-10_per_5000",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 18,
"amount": 1500,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 19,
"amount": 4000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b07e07c19a77f7d984a19c4f55e7b5d412a03869f5ff6417dfd90e553ea07",
"index": 20,
"amount": 1,
"name": "CYTI Blob 7/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 21,
"amount": 1212,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ec3c44ae60ef227d0f18e5f09d5053960389a03a322157c40cfe67bb5cc04e5d",
"index": 22,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_110649999_2023-04-21_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 23,
"amount": 148,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "88888888ca4d0732a898594f28a22765e0a8e5f535e76362c39060e1ac0d9dc6",
"index": 24,
"amount": 95,
"name": "Impossible 8",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 25,
"amount": 1,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7d8c6c6a71453948855186421f5eab670710949687a6264f9ce1d3a0c0b9bffe",
"index": 26,
"amount": 1,
"name": "Gnomekin #2373 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9562748c62ff0faa64c706221275cdcadcab0ff5f9271a5d76a0ebd4ddcdcdb7",
"index": 27,
"amount": 990,
"name": "LUCK",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0c1aecaf21e833947c3d86e95f7a111b48a80c7999689b757fe7dd4d732eacb0",
"index": 28,
"amount": 17999997871999990,
"name": "smallETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 29,
"amount": 104493,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "83b59fcce093c8577afc035fb798a135b2ecc65591a7a4af3b0158e6d570e1aa",
"index": 30,
"amount": 1,
"name": "SUSTONISHED - Oz-CAR SPECIAL \"SNAPPER SLAPPER\"",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6095703a14f1de8921ee79ab86fdb701bd32b1e04c08b5c25fc93e15e639a22c",
"index": 31,
"amount": 1,
"name": "$COMET Oniric 3D Collection 1244",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 32,
"amount": 2000,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0f037f9e869774b63ee1e8f0b90d83f0ed6d92e25c298854e4acd74db06cd250",
"index": 33,
"amount": 1,
"name": "COMET WL",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8093c0f95e6ac52459a8630250ce9e0848a90faf76e1def822df7f94a73a3551",
"index": 34,
"amount": 1,
"name": "$COMET Beggar BrownDark",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "060c834e0f19b78f53c739cf9ae3b5886a8afaa38d1ee69dd2d128216f71be5e",
"index": 35,
"amount": 200,
"name": "Call_A_ergopad_ERG_5000000_2023-03-31_per_100",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "574299d82b17b60de2bada4b5a1b37ac55e7bfe37a8267a2fd0bf72b1127586e",
"transactionId": "95620dbe00c190ed3e15a804c662e06a4c80f3fda0cbe274dc9c798b8dadfca6",
"blockId": "ed91c1c7aba6809aed8903c65b51e5666ae6f184d36c4502021202b0bcde7c7f",
"value": 810300000,
"index": 0,
"globalIndex": 28715226,
"creationHeight": 993505,
"settlementHeight": 993507,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 6\n6: 5\n7: 1000000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 3\n17: 1\n18: 1\n19: 0\n20: 86400000\n21: 1\n22: 0\n23: 1\n24: 3\n25: 2\n26: 1\n27: 2\n28: 1\n29: 3\n30: 2000000\n31: 1\n32: 1\n33: 0\n34: false\n35: 2\n36: 4\n37: 1\n38: 0\n39: 2\n40: 0\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 1\n47: 3\n48: 0\n49: false\n50: 1\n51: 3\n52: 1000000\n53: 1\n54: 1000000\n55: 1\n56: 1\n57: false\n58: 0\n59: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val l16 = SELF.value\n val coll17 = box7.R8[Coll[Long]].get\n val l18 = coll17(placeholder[Int](5))\n val l19 = coll17(placeholder[Int](6))\n val l20 = box13.value\n val l21 = l18 + placeholder[Long](7)\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l20 >= l21) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll17(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll17(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll17(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val l36 = CONTEXT.preHeader.timestamp\n val l37 = coll17(placeholder[Int](16))\n val bool38 = l36 > l37\n val bool39 = bool6 && (l30 == placeholder[Long](17))\n val bool40 = if (coll17(placeholder[Int](18)) == placeholder[Long](19)) { (bool39 && bool38) && (l36 < l37 + placeholder[Long](20)) } else {\n bool39 && (l36 <= l37)\n }\n val tuple41 = coll1.getOrElse(placeholder[Int](21), tuple2)\n val l42 = tuple41._2\n val l43 = tuple27._2\n val tuple44 = coll35.getOrElse(placeholder[Int](22), tuple2)\n val coll45 = tuple44._1\n val l46 = tuple44._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if ((bool10 && (INPUTS.size == placeholder[Int](23))) && (i11 == placeholder[Int](24))) {\n (\n (\n (\n (((bool23 && (l20 == l16 - l18 - l19)) && (l20 >= placeholder[Long](25) * l21)) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](26))) && (\n coll24.size == placeholder[Int](27)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](28))) && (\n l32 == l16 - placeholder[Long](29) * l18 - l19 - placeholder[Long](30) / l33 * l31 + placeholder[Long](31)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](32)))\n ) && (coll35.size == placeholder[Int](33))\n ) && (box34.value >= l19)\n } else { placeholder[Boolean](34) } || if ((bool40 && (INPUTS.size == placeholder[Int](35))) && (i11 == placeholder[Int](36))) {(\n val l47 = if (bool29) { l42 - l43 } else { l16 - l20 }\n val l48 = if (bool29) { l47 / l31 } else { l47 / l33 * l31 }\n val tuple49 = INPUTS(placeholder[Int](37)).tokens.getOrElse(placeholder[Int](38), tuple2)\n val box50 = OUTPUTS(placeholder[Int](39))\n val coll51 = box50.tokens\n val tuple52 = coll51.getOrElse(placeholder[Int](40), tuple2)\n (\n (\n ((l48 == if (tuple49._1 == box7.id) { tuple49._2 } else { placeholder[Long](41) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l43 == placeholder[Long](42)))) && (coll45 == coll22)) && (l46 == l47)) && (\n coll35.size == placeholder[Int](43)\n )\n ) && (box50.value >= l48 * l33 * l31)\n ) && (coll51.size == placeholder[Int](44))\n ) || (\n (((((!bool29) && (box34.value >= l47)) && (coll35.size == placeholder[Int](45))) && (tuple52._1 == coll22)) && (tuple52._2 >= l48 * l31)) && (\n coll51.size == placeholder[Int](46)\n )\n )\n )\n ) && (box50.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](47)).tokens.size == placeholder[Int](48))\n )} else { placeholder[Boolean](49) }\n ) || if (((bool6 && (!bool39)) && (INPUTS.size == placeholder[Int](50))) && (i11 == placeholder[Int](51))) {\n (\n (\n (\n (\n (((((l20 == l16 - l18 - placeholder[Long](52)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](53))) && (tuple27 == tuple41)) && (\n box34.propositionBytes == coll15\n )\n ) && (box34.value == placeholder[Long](54))\n ) && (coll35.size == placeholder[Int](55))\n ) && (coll45 == coll4)\n ) && (l46 == l30 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool38 && (!bool40)) || if (bool29) { bool39 && (l42 == placeholder[Long](58)) } else { bool39 && (l16 == l21) }) {\n (((bool12 && (coll14 == coll15)) && (l20 >= l16 - l18)) && (coll26 == tuple41._1)) && (l32 == l42)\n } else { placeholder[Boolean](59) }\n )\n}",
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