Transaction
ID: efd952ce85...cbff
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00594 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.34259 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00101 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.12 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.04 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.735972551 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.251112551 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 815,135
Total coins transferred: 1.26 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000335 ERG
Raw Transaction Data
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"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 5,
"amount": 229819,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 6,
"amount": 948886,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 7,
"amount": 92883,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b10b069c8e9c850454bed4bc7a32353c4d54e3cb7e62b6b89e85058b522363e8",
"index": 8,
"amount": 1,
"name": "CYTI Blob 6/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d31ecbc7af9f3488f4025384ef89f73e7e9bf1524eb2782309eb0a011d81b484",
"index": 9,
"amount": 4,
"name": "Call_A_Call_A_COMET_ERG_7485_2023-03-10_per_5000_ERG_10000_2023-03-13_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 10,
"amount": 63,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 11,
"amount": 37,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b092706df3923666a71717bf158b4e1f1acecb1567d12ded1045baa2a89aa",
"index": 12,
"amount": 1,
"name": "CYTI Blob 9/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0356aae5fbf56ec4c29c52e4c73e2699d3432768f0f9eb39fd79ea7f7d10",
"index": 13,
"amount": 1,
"name": "CYTI Blob 3/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b08b8213d483d6cb44811237d972da7be6a81c869b391d2fc6cb0d188cb05",
"index": 14,
"amount": 1,
"name": "CYTI Blob 8/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 15,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 16,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231",
"index": 17,
"amount": 2,
"name": "Call_A_COMET_ERG_7485_2023-03-10_per_5000",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "fc35d1bcde4a88671a71e94a261ca3f139b7a9932b599dd80423bea0ed168015",
"transactionId": "efd952ce85bb49503f8575e66942e3f8086e921d926402b520b81b25ed20cbff",
"blockId": "1068fb33b57bca48cae1ed0f16f98cad2b747888233294e7104cb2e67093a40d",
"value": 1011300000,
"index": 0,
"globalIndex": 26744032,
"creationHeight": 944385,
"settlementHeight": 944387,
"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}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e208093c0f95e6ac52459a8630250ce9e0848a90faf76e1def822df7f94a73a3551",
"sigmaType": "Coll[SByte]",
"renderedValue": "8093c0f95e6ac52459a8630250ce9e0848a90faf76e1def822df7f94a73a3551"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R8": {
"serializedValue": "110702020280d08eb9cf6180a8d6b90780b6dc05c0a38601",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,1677110400000,1000000000,6000000,1100000]"
},
"R7": {
"serializedValue": "63a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b100",
"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "1a0221023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508,0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6]"
},
"R4": {
"serializedValue": "0e3d5075745f415f24434f4d4554204265676761722042726f776e4461726b5f4552475f313030303030303030305f323032332d30322d32335f7065725f31",
"sigmaType": "Coll[SByte]",
"renderedValue": "5075745f415f24434f4d4554204265676761722042726f776e4461726b5f4552475f313030303030303030305f323032332d30322d32335f7065725f31"
}
},
"spentTransactionId": "211d67dfb145f4defb2c7c2eb91a59d0f5fc8693bca51eb805be330ae7f2ad98",
"mainChain": true
},
{
"boxId": "35dc65652ba3c4415171ea3493c1c5ff59363fcb848ccb97e2ab9076a65c393a",
"transactionId": "efd952ce85bb49503f8575e66942e3f8086e921d926402b520b81b25ed20cbff",
"blockId": "1068fb33b57bca48cae1ed0f16f98cad2b747888233294e7104cb2e67093a40d",
"value": 251112551,
"index": 1,
"globalIndex": 26744033,
"creationHeight": 944385,
"settlementHeight": 944387,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 0,
"amount": 5,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "442a772121da98f220639da79d637342bbed8ac9df319c08db8584799cab49fc",
"index": 1,
"amount": 2000000,
"name": "Put_A_SPF_ERG_60000000_2023-02-28_per_1",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b10b108fbbacae9f2c61960f50bb58072c3e007b2ee8e1f98a24eabcba9a1403",
"index": 2,
"amount": 1,
"name": "CYTI Blob 10/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "05f4dfd1294c3716cdb5ae0eb95c14c4ce83c1477edb670859c6f86b1e541d2e",
"index": 3,
"amount": 100,
"name": "Call_A_ergopad_ERG_4000000_2023-03-18_per_10",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "12e715b29ddf1b371d273d705aec7f1ad58d45fffaacb77a390511f5dd4afbfc",
"index": 4,
"amount": 5,
"name": "Call_A_Put_A_COMET_ERG_8000_2023-03-20_per_10000_ERG_5000000_2023-03-20_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 5,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 6,
"amount": 6564904025,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 7,
"amount": 229819,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 8,
"amount": 948886,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 9,
"amount": 92883,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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