Transaction
ID: 818be718f7...f1bb
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.863593051 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.33655 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.525943051 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 845,830
Total coins transferred: 0.863593051 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000339 ERG
Raw Transaction Data
{
"id": "818be718f7c1cc9deb4905fb5a312cc3f53b5ab971a20596859900289f06f1bb",
"blockId": "01df91f2cb61b3b12b7ca3932dddc63b373e50074d1b6d755ee8431cc7c4da70",
"inclusionHeight": 923948,
"timestamp": 1674410362510,
"index": 12,
"globalIndex": 4654687,
"numConfirmations": 845830,
"inputs": [
{
"boxId": "90bee8fd60a86ac63fc81a358ea473995375f1e081b905934d65a37d21071231",
"value": 863593051,
"index": 0,
"spendingProof": "1b4ac8f3affffd802847a093839a254ad61c858c2a595ff89b0825229210122162238ed5bed5c7a254897f22ab8d4bbe2979c26f57c7dfb1",
"outputBlockId": "4bd62d58da492fe39ac991771e680556daa2cfaeee28d7658a5b8e43d406e92c",
"outputTransactionId": "dda996b828fc129e31631c3c741d38e1bfa093be67b168a813548f292afa8b7b",
"outputIndex": 1,
"outputGlobalIndex": 25855547,
"outputCreatedAt": 923675,
"outputSettledAt": 923678,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 0,
"amount": 1212,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ec3c44ae60ef227d0f18e5f09d5053960389a03a322157c40cfe67bb5cc04e5d",
"index": 1,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_110649999_2023-04-21_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 2,
"amount": 700,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebd3b0e359b3847a9da229a28308ae024638c77d4605aeb705fc7a27f9c80cdb",
"index": 3,
"amount": 1,
"name": "Call_E_SigUSD_ERG_566255777_2023-04-18_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 4,
"amount": 1485,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 5,
"amount": 273,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 6,
"amount": 148,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "88888888ca4d0732a898594f28a22765e0a8e5f535e76362c39060e1ac0d9dc6",
"index": 7,
"amount": 100,
"name": "Impossible 8",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 8,
"amount": 4000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 9,
"amount": 29248,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 10,
"amount": 1,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7d8c6c6a71453948855186421f5eab670710949687a6264f9ce1d3a0c0b9bffe",
"index": 11,
"amount": 1,
"name": "Gnomekin #2373 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9562748c62ff0faa64c706221275cdcadcab0ff5f9271a5d76a0ebd4ddcdcdb7",
"index": 12,
"amount": 990,
"name": "LUCK",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0c1aecaf21e833947c3d86e95f7a111b48a80c7999689b757fe7dd4d732eacb0",
"index": 13,
"amount": 17999997871999990,
"name": "smallETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 14,
"amount": 77157515,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 15,
"amount": 104493,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "83b59fcce093c8577afc035fb798a135b2ecc65591a7a4af3b0158e6d570e1aa",
"index": 16,
"amount": 1,
"name": "SUSTONISHED - Oz-CAR SPECIAL \"SNAPPER SLAPPER\"",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6095703a14f1de8921ee79ab86fdb701bd32b1e04c08b5c25fc93e15e639a22c",
"index": 17,
"amount": 1,
"name": "$COMET Oniric 3D Collection 1244",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 18,
"amount": 2000,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 19,
"amount": 455196,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 20,
"amount": 2000,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "0f037f9e869774b63ee1e8f0b90d83f0ed6d92e25c298854e4acd74db06cd250",
"index": 21,
"amount": 1,
"name": "COMET WL",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8093c0f95e6ac52459a8630250ce9e0848a90faf76e1def822df7f94a73a3551",
"index": 22,
"amount": 1,
"name": "$COMET Beggar BrownDark",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bdc7a89f2703e9746ef13f4690da9d870a235be3aff28fc01bf2bd35842c36b1",
"index": 23,
"amount": 1,
"name": "CALL_fakeUSD_ERG_706499999_2023-04-30_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cd66414c99eb338e7c7aefd9b36246d91c272d8063b7d03f8d01c5fd16f6af64",
"index": 24,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_1406499999_2023-04-16_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "766c7659501a7f3fef66f279b6ba92a13601d22338bf0c8ec7c0396b141e4e6b",
"index": 25,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_1406499999_2023-04-16_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3f436253d687241c258ea4f7e93f051ce01934d6d8f1b113f21c75f7fa44bd2b",
"index": 26,
"amount": 9,
"name": "Call_A_fakeUSD_ERG_1206499999_2023-04-17_per_1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "ebf33a377c522c5cef0ec062a52c48ffb5bb24314cf82513e4072a38f5633a42",
"transactionId": "818be718f7c1cc9deb4905fb5a312cc3f53b5ab971a20596859900289f06f1bb",
"blockId": "01df91f2cb61b3b12b7ca3932dddc63b373e50074d1b6d755ee8431cc7c4da70",
"value": 336550000,
"index": 0,
"globalIndex": 25864171,
"creationHeight": 923946,
"settlementHeight": 923948,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 3\n4: 2100000\n5: 1\n6: 0\n7: 0\n8: 2\n9: 0\n10: 7\n11: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n12: Coll(48)\n13: 1\n14: 1\n15: false\n16: 1\n17: 1\n18: 0\n19: CBigInt(1000)\n20: 1\n21: 0\n22: CBigInt(1000000)\n23: 86400000\n24: 2\n25: 1\n26: 86400000\n27: 1\n28: 1\n29: 2\n30: 1\n31: 2100000\n32: 1\n33: 9\n34: false\n35: 14400000\n36: 2\n37: 0\n38: 0\n39: 2\n40: 1\n41: 0\n42: 0\n43: 0\n44: 100\n45: 500\n46: 1000\n47: 2000\n48: 4000\n49: 9000\n50: 13000\n51: 20000\n52: 30000\n53: 40000\n54: 50000\n55: 70000\n56: 110000\n57: 140000\n58: 170000\n59: 210000\n60: 250000\n61: 300000\n62: 500000\n63: 1000000\n64: 10000000\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 1\n71: CBigInt(1)\n72: CBigInt(0)\n73: 4\n74: 4\n75: 1775840000\n76: CBigInt(0)\n77: 5\n78: CBigInt(177584)\n79: 6\n80: 177584000\n81: 10000\n82: 0\n83: Coll(31,1,-36,-114,41,-128,109,-106,-54,11,121,-8,-25,-104,-51,-116,-4,-27,28,14,103,106,-82,-33,106,-77,70,75,55,-38,-99,-3)\n84: 2\n85: 2\n86: 3\n87: 3\n88: 8\n89: false\n90: 2\n91: 4\n92: 0\n93: 1\n94: 0\n95: 2\n96: 0\n97: 0\n98: 1\n99: 0\n100: 0\n101: 1\n102: false\n103: 2100000\n104: 1\n105: 1\n106: 1100000\n107: 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 box4 = SELF.R7[Box].get\n val bool5 = (tuple3._1 == box4.id) && (SELF.propositionBytes == box4.propositionBytes)\n val box6 = if (bool5) { box4 } else { SELF }\n val prop7 = box6.R9[SigmaProp].get\n val bool8 = !bool5\n val box9 = OUTPUTS(placeholder[Int](2))\n val coll10 = box9.propositionBytes\n val coll11 = prop7.propBytes\n val bool12 = coll10 == coll11\n val coll13 = box6.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](3))\n val l15 = CONTEXT.preHeader.timestamp\n val l16 = l14 - l15\n val l17 = box9.value\n val bool18 = l17 >= placeholder[Long](4)\n val coll19 = box9.tokens\n val tuple20 = coll19.getOrElse(placeholder[Int](5), tuple2)\n val l21 = tuple20._2\n val l22 = tuple3._2\n val bool23 = coll13(placeholder[Int](6)) == placeholder[Long](7)\n val l24 = coll13(placeholder[Int](8))\n val tuple25 = coll19.getOrElse(placeholder[Int](9), tuple2)\n val l26 = tuple25._2\n val l27 = SELF.value\n val l28 = coll13(placeholder[Int](10))\n val coll29 = tuple25._1\n val coll30 = box6.id\n val coll31 = placeholder[Coll[Byte]](11)\n val coll32 = placeholder[Coll[Byte]](12)\n val bool33 = if (coll10 == SELF.propositionBytes) {\n (\n (\n (\n (\n (((coll29 == coll30) && (l26 >= placeholder[Long](13))) && bool18) && (\n ((bool23 && (tuple20._1 == coll31)) && (l21 >= placeholder[Long](14))) || (!bool23)\n )\n ) && (box9.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n ) && (box9.R5[Coll[Byte]].get == coll32)\n ) && (box9.R6[Coll[Byte]].get == coll32)\n ) && (box9.R7[Box].get == box6)\n } else { placeholder[Boolean](15) }\n val box34 = OUTPUTS(placeholder[Int](16))\n val coll35 = box6.R5[Coll[Byte]].get\n val bool36 = l15 <= l14\n val tuple37 = coll1.getOrElse(placeholder[Int](17), tuple2)\n val l38 = tuple37._2\n val coll39 = box34.tokens\n val tuple40 = coll39.getOrElse(placeholder[Int](18), tuple2)\n val coll41 = tuple40._1\n val l42 = tuple40._2\n val bi43 = placeholder[BigInt](19)\n val bool44 = coll13(placeholder[Int](20)) == placeholder[Long](21)\n val bi45 = placeholder[BigInt](22)\n val bool46 = l15 > l14\n val bool47 = if (bool44) { (bool5 && bool46) && (l15 < l14 + placeholder[Long](23)) } else { bool5 && bool36 }\n prop7 && sigmaProp((bool8 && (OUTPUTS.size == placeholder[Int](24))) && bool12) || sigmaProp(\n (\n (\n if ((bool8 && (INPUTS.size == placeholder[Int](25))) && (l16 >= placeholder[Long](26))) {\n (\n (\n bool33 && (\n (bool18 && (box9.R7[Box].get == SELF)) && (\n (\n ((bool23 && (l21 == l22)) && (l26 == l22 - placeholder[Long](27) / l24 + placeholder[Long](28))) && (coll19.size == placeholder[Int](29))\n ) || (((!bool23) && (coll19.size == placeholder[Int](30))) && (l26 == l27 - placeholder[Long](31) / l28 * l24 + placeholder[Long](32)))\n )\n )\n ) && (box34.propositionBytes == coll35)\n ) && (box34.value >= coll13(placeholder[Int](33)))\n } else { placeholder[Boolean](34) } || if (((!(bool36 && (l15 > l14 - placeholder[Long](35)))) && (INPUTS.size == placeholder[Int](36))) && (\n CONTEXT.dataInputs.size > placeholder[Int](37)\n )) {(\n val box48 = CONTEXT.dataInputs(placeholder[Int](38))\n val coll49 = box48.tokens\n val tuple50 = coll49(placeholder[Int](39))\n val l51 = l22 - l26\n val l52 = box48.value / tuple50._2 / placeholder[Long](40)\n val l53 = if (bool23) { max(placeholder[Long](41), l52 - l28 * l24) } else { max(placeholder[Long](42), l28 - l52 * l24) }\n val coll54 = Coll[Long](\n placeholder[Long](43), placeholder[Long](44), placeholder[Long](45), placeholder[Long](46), placeholder[Long](47), placeholder[Long](\n 48\n ), placeholder[Long](49), placeholder[Long](50), placeholder[Long](51), placeholder[Long](52), placeholder[Long](53), placeholder[Long](\n 54\n ), placeholder[Long](55), placeholder[Long](56), placeholder[Long](57), placeholder[Long](58), placeholder[Long](59), placeholder[Long](\n 60\n ), placeholder[Long](61), placeholder[Long](62), placeholder[Long](63), placeholder[Long](64)\n )\n val coll55 = coll54.map({(l55: Long) => l55 * l55 }).zip(coll54)\n val func56 = {(l56: Long) =>\n val i58 = coll55.map({(tuple58: (Long, Long)) => if (tuple58._1 >= l56) { placeholder[Long](65) } else { placeholder[Long](66) } }).indexOf(\n placeholder[Long](67), placeholder[Int](68)\n )\n val tuple59 = coll55(i58)\n if (i58.toLong > placeholder[Long](69)) {(\n val tuple60 = coll55(i58 - placeholder[Int](70))\n val l61 = tuple60._2\n val l62 = tuple60._1\n max(placeholder[BigInt](71), l61.toBigInt + tuple59._2 - l61.toBigInt * l56 - l62.toBigInt / tuple59._1 - l62.toBigInt)\n )} else { placeholder[BigInt](72) }\n }\n val bi57 = func56(l16)\n val bi58 = placeholder[Long](73) * coll13(placeholder[Int](74)).toBigInt * l24.toBigInt * l28.toBigInt * bi57 / placeholder[Int](75).toBigInt\n val bi59 = max(\n placeholder[BigInt](76), bi58 - bi58 * coll13(placeholder[Int](77)).toBigInt * func56(max(l52 - l28, l28 - l52)) * placeholder[BigInt](\n 78\n ) / bi43 * func56(l28) * bi57\n )\n val bi60 = if (bool44) { l53.toBigInt + bi59 } else {\n l53.toBigInt + bi59 + bi59 * coll13(placeholder[Int](79)).toBigInt * bi57 / placeholder[Int](80).toBigInt\n }\n val bi61 = max(bi45, bi60 - bi60 % placeholder[Long](81).toBigInt)\n val bi62 = l51.toBigInt * if (bool23) { min(l52 * l24.toBigInt, bi61) } else { min(l28 * l24.toBigInt, bi61) }\n (\n (\n (\n (\n (\n (\n ((((coll49(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83)) && (tuple50._1 == coll31)) && bool33) && (l17 == l27)) && (l21 == l38)\n ) && (coll41 == coll30)\n ) && (l42 == l51)\n ) && (OUTPUTS(placeholder[Int](84)).propositionBytes == coll11)\n ) && (OUTPUTS(placeholder[Int](85)).value.toBigInt >= max(bi45, bi62))\n ) && (OUTPUTS(placeholder[Int](86)).propositionBytes == coll35)\n ) && (OUTPUTS(placeholder[Int](87)).value.toBigInt >= max(bi45, bi62 * coll13(placeholder[Int](88)).toBigInt / bi43))\n )} else { placeholder[Boolean](89) }\n ) || if (((bool47 && (INPUTS.size == placeholder[Int](90))) && (OUTPUTS.size == placeholder[Int](91))) && (\n CONTEXT.dataInputs.size == placeholder[Int](92)\n )) {(\n val l48 = if (bool23) { l38 - l21 } else { l27 - l17 }\n val l49 = if (bool23) { l48 / l24 } else { l48 / l28 * l24 }\n val tuple50 = INPUTS(placeholder[Int](93)).tokens.getOrElse(placeholder[Int](94), tuple2)\n val box51 = OUTPUTS(placeholder[Int](95))\n val coll52 = box51.tokens\n val tuple53 = coll52.getOrElse(placeholder[Int](96), tuple2)\n (\n (((l49 == if (tuple50._1 == coll30) { tuple50._2 } else { placeholder[Long](97) }) && bool33) && (l26 == l22)) && (\n (\n ((((bool23 && (coll41 == coll31)) && (l42 == l48)) && (coll39.size == placeholder[Int](98))) && (box51.value >= l49 * l28 * l24)) && (\n coll52.size == placeholder[Int](99)\n )\n ) || (\n (((((!bool23) && (box34.value >= l48)) && (coll39.size == placeholder[Int](100))) && (tuple53._1 == coll31)) && (tuple53._2 >= l49 * l24)) && (\n coll52.size == placeholder[Int](101)\n )\n )\n )\n ) && (box51.propositionBytes == coll11)\n )} else { placeholder[Boolean](102) }\n ) || if ((bool46 && (!bool47)) || (((l27 == placeholder[Long](103)) && (l22 == placeholder[Long](104))) && (l38 <= placeholder[Long](105)))) {\n ((bool12 && (l17 >= l27 - placeholder[Long](106))) && (coll29 == tuple37._1)) && (l26 == l38)\n } else { placeholder[Boolean](107) }\n )\n}",
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