Transaction
ID: cd8469037d...5d1f
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0063 ERG
Tokens:
10
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 835,448
Total coins transferred: 0.0063 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000372 ERG
Raw Transaction Data
{
"id": "cd8469037d006fa9e0251ebffe43db2ab230c802c3534c91f0b08dc9ae2e5d1f",
"blockId": "8196c37082b2378e17fd34ff4ef66080aaeaae54892f1bf2290bd361db82af45",
"inclusionHeight": 928653,
"timestamp": 1674982014504,
"index": 4,
"globalIndex": 4683341,
"numConfirmations": 835448,
"inputs": [
{
"boxId": "8f305177fd4e340cfc42266d12ce4075a688fb98e7d206057a2f2635a923213d",
"value": 6300000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8196c37082b2378e17fd34ff4ef66080aaeaae54892f1bf2290bd361db82af45",
"outputTransactionId": "ec87bbd790afacc238e24002b744bd7c2c4b6fcc152d7b9d2fd3349dc0214c21",
"outputIndex": 0,
"outputGlobalIndex": 26060102,
"outputCreatedAt": 928651,
"outputSettledAt": 928653,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 3\n5: 6\n6: 2100000\n7: false\n8: 0\n9: 1\n10: 0\n11: 0\n12: 2\n13: 4\n14: 1\n15: 1\n16: 1\n17: 0\n18: 86400000\n19: 1\n20: 0\n21: 2\n22: 1\n23: 3\n24: 86400000\n25: 1100000\n26: 4200000\n27: 1\n28: 2\n29: 1\n30: 3300000\n31: 2000000\n32: 1\n33: 1\n34: 0\n35: false\n36: 2\n37: 4\n38: 1\n39: 0\n40: 2\n41: 0\n42: 0\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 3\n49: 0\n50: false\n51: 1\n52: 3\n53: 1100000\n54: 1000000\n55: 1\n56: 1000000\n57: 1\n58: 1\n59: false\n60: 0\n61: 2100000\n62: 1100000\n63: 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 box11 = OUTPUTS(placeholder[Int](3))\n val coll12 = box11.propositionBytes\n val coll13 = prop9.propBytes\n val bool14 = coll12 == coll13\n val coll15 = box7.R8[Coll[Long]].get\n val l16 = coll15(placeholder[Int](4))\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = SELF.value\n val l19 = coll15(placeholder[Int](5))\n val l20 = box11.value\n val coll21 = box7.R5[Coll[Byte]].get\n val bool22 = if (coll12 == SELF.propositionBytes) {\n (\n (((l20 >= placeholder[Long](6)) && (box11.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box11.R5[Coll[Byte]].get == coll21)) && (\n box11.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box11.R7[Box].get == box7)\n } else { placeholder[Boolean](7) }\n val coll23 = box11.tokens\n val tuple24 = coll23.getOrElse(placeholder[Int](8), tuple2)\n val coll25 = tuple24._1\n val tuple26 = coll23.getOrElse(placeholder[Int](9), tuple2)\n val coll27 = tuple26._1\n val bool28 = coll15(placeholder[Int](10)) == placeholder[Long](11)\n val l29 = tuple3._2\n val l30 = coll15(placeholder[Int](12))\n val l31 = tuple24._2\n val l32 = coll15(placeholder[Int](13))\n val box33 = OUTPUTS(placeholder[Int](14))\n val coll34 = box33.tokens\n val bool35 = l17 > l16\n val bool36 = bool6 && (l29 == placeholder[Long](15))\n val bool37 = if (coll15(placeholder[Int](16)) == placeholder[Long](17)) { (bool36 && bool35) && (l17 < l16 + placeholder[Long](18)) } else {\n bool36 && (l17 <= l16)\n }\n val tuple38 = coll1.getOrElse(placeholder[Int](19), tuple2)\n val l39 = tuple38._2\n val l40 = tuple26._2\n val tuple41 = coll34.getOrElse(placeholder[Int](20), tuple2)\n val coll42 = tuple41._1\n val l43 = tuple41._2\n prop9 && sigmaProp((bool10 && (OUTPUTS.size == placeholder[Int](21))) && bool14) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (OUTPUTS.size == placeholder[Int](23))) && (l16 - l17 >= placeholder[Long](24))) {\n (\n (\n (\n (((bool22 && (l20 == l18 - placeholder[Long](25) - l19)) && (l20 >= placeholder[Long](26))) && (coll25 == SELF.id)) && (\n (\n (((bool28 && (coll27 == coll21)) && (tuple26 == tuple3)) && (l31 == l29 / l30 + placeholder[Long](27))) && (\n coll23.size == placeholder[Int](28)\n )\n ) || (\n ((!bool28) && (coll23.size == placeholder[Int](29))) && (\n l31 == l18 - placeholder[Long](30) - l19 - placeholder[Long](31) / l32 * l30 + placeholder[Long](32)\n )\n )\n )\n ) && (box33.propositionBytes == coll8(placeholder[Int](33)))\n ) && (coll34.size == placeholder[Int](34))\n ) && (box33.value >= l19)\n } else { placeholder[Boolean](35) } || if ((bool37 && (INPUTS.size == placeholder[Int](36))) && (OUTPUTS.size == placeholder[Int](37))) {(\n val l44 = if (bool28) { l39 - l40 } else { l18 - l20 }\n val l45 = if (bool28) { l44 / l30 } else { l44 / l32 * l30 }\n val tuple46 = INPUTS(placeholder[Int](38)).tokens.getOrElse(placeholder[Int](39), tuple2)\n val box47 = OUTPUTS(placeholder[Int](40))\n val coll48 = box47.tokens\n val tuple49 = coll48.getOrElse(placeholder[Int](41), tuple2)\n (\n (\n ((l45 == if (tuple46._1 == box7.id) { tuple46._2 } else { placeholder[Long](42) }) && bool22) && (\n (\n (\n (\n ((((bool28 && (tuple3 == tuple24)) && ((coll27 == coll21) || (l40 == placeholder[Long](43)))) && (coll42 == coll21)) && (l43 == l44)) && (\n coll34.size == placeholder[Int](44)\n )\n ) && (box47.value >= l45 * l32 * l30)\n ) && (coll48.size == placeholder[Int](45))\n ) || (\n (((((!bool28) && (box33.value >= l44)) && (coll34.size == placeholder[Int](46))) && (tuple49._1 == coll21)) && (tuple49._2 >= l45 * l30)) && (\n coll48.size == placeholder[Int](47)\n )\n )\n )\n ) && (box47.propositionBytes == coll13)\n ) && (OUTPUTS(placeholder[Int](48)).tokens.size == placeholder[Int](49))\n )} else { placeholder[Boolean](50) }\n ) || if (((bool6 && (!bool36)) && (INPUTS.size == placeholder[Int](51))) && (OUTPUTS.size == placeholder[Int](52))) {\n (\n (\n (\n (\n (\n ((((l20 == l18 - placeholder[Long](53) - placeholder[Long](54)) && bool22) && (coll25 == coll4)) && (l31 == placeholder[Long](55))) && (\n tuple26 == tuple38\n )\n ) && (box33.propositionBytes == coll13)\n ) && (box33.value == placeholder[Long](56))\n ) && (coll34.size == placeholder[Int](57))\n ) && (coll42 == coll4)\n ) && (l43 == l29 - placeholder[Long](58))\n } else { placeholder[Boolean](59) }\n ) || if ((bool35 && (!bool37)) || if (bool28) { bool36 && (l39 == placeholder[Long](60)) } else { bool36 && (l18 == placeholder[Long](61)) }) {\n ((bool14 && (l20 >= l18 - placeholder[Long](62))) && (coll25 == coll4)) && (l31 == l29)\n } else { placeholder[Boolean](63) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 1000,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"sigmaType": "Coll[SByte]",
"renderedValue": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
},
"R8": {
"serializedValue": "110700000280b0acf7f961cead010a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,1,1682812800000,11111,5,1000000]"
},
"R7": {
"serializedValue": "63a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b100",
"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "1a0221023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508,0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6]"
},
"R4": {
"serializedValue": "0e2b43616c6c5f455f66616b655553445f4552475f313131313131315f323032332d30342d33305f7065725f31",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f66616b655553445f4552475f313131313131315f323032332d30342d33305f7065725f31"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "cb9c76de313948f37d08aacdb1ecfb10fa11d3cbc58c5e0f6b65bbc94ae4808f",
"transactionId": "cd8469037d006fa9e0251ebffe43db2ab230c802c3534c91f0b08dc9ae2e5d1f",
"blockId": "8196c37082b2378e17fd34ff4ef66080aaeaae54892f1bf2290bd361db82af45",
"value": 4200000,
"index": 0,
"globalIndex": 26060105,
"creationHeight": 928651,
"settlementHeight": 928653,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 3\n5: 6\n6: 2100000\n7: false\n8: 0\n9: 1\n10: 0\n11: 0\n12: 2\n13: 4\n14: 1\n15: 1\n16: 1\n17: 0\n18: 86400000\n19: 1\n20: 0\n21: 2\n22: 1\n23: 3\n24: 86400000\n25: 1100000\n26: 4200000\n27: 1\n28: 2\n29: 1\n30: 3300000\n31: 2000000\n32: 1\n33: 1\n34: 0\n35: false\n36: 2\n37: 4\n38: 1\n39: 0\n40: 2\n41: 0\n42: 0\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 3\n49: 0\n50: false\n51: 1\n52: 3\n53: 1100000\n54: 1000000\n55: 1\n56: 1000000\n57: 1\n58: 1\n59: false\n60: 0\n61: 2100000\n62: 1100000\n63: 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 box11 = OUTPUTS(placeholder[Int](3))\n val coll12 = box11.propositionBytes\n val coll13 = prop9.propBytes\n val bool14 = coll12 == coll13\n val coll15 = box7.R8[Coll[Long]].get\n val l16 = coll15(placeholder[Int](4))\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = SELF.value\n val l19 = coll15(placeholder[Int](5))\n val l20 = box11.value\n val coll21 = box7.R5[Coll[Byte]].get\n val bool22 = if (coll12 == SELF.propositionBytes) {\n (\n (((l20 >= placeholder[Long](6)) && (box11.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box11.R5[Coll[Byte]].get == coll21)) && (\n box11.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box11.R7[Box].get == box7)\n } else { placeholder[Boolean](7) }\n val coll23 = box11.tokens\n val tuple24 = coll23.getOrElse(placeholder[Int](8), tuple2)\n val coll25 = tuple24._1\n val tuple26 = coll23.getOrElse(placeholder[Int](9), tuple2)\n val coll27 = tuple26._1\n val bool28 = coll15(placeholder[Int](10)) == placeholder[Long](11)\n val l29 = tuple3._2\n val l30 = coll15(placeholder[Int](12))\n val l31 = tuple24._2\n val l32 = coll15(placeholder[Int](13))\n val box33 = OUTPUTS(placeholder[Int](14))\n val coll34 = box33.tokens\n val bool35 = l17 > l16\n val bool36 = bool6 && (l29 == placeholder[Long](15))\n val bool37 = if (coll15(placeholder[Int](16)) == placeholder[Long](17)) { (bool36 && bool35) && (l17 < l16 + placeholder[Long](18)) } else {\n bool36 && (l17 <= l16)\n }\n val tuple38 = coll1.getOrElse(placeholder[Int](19), tuple2)\n val l39 = tuple38._2\n val l40 = tuple26._2\n val tuple41 = coll34.getOrElse(placeholder[Int](20), tuple2)\n val coll42 = tuple41._1\n val l43 = tuple41._2\n prop9 && sigmaProp((bool10 && (OUTPUTS.size == placeholder[Int](21))) && bool14) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (OUTPUTS.size == placeholder[Int](23))) && (l16 - l17 >= placeholder[Long](24))) {\n (\n (\n (\n (((bool22 && (l20 == l18 - placeholder[Long](25) - l19)) && (l20 >= placeholder[Long](26))) && (coll25 == SELF.id)) && (\n (\n (((bool28 && (coll27 == coll21)) && (tuple26 == tuple3)) && (l31 == l29 / l30 + placeholder[Long](27))) && (\n coll23.size == placeholder[Int](28)\n )\n ) || (\n ((!bool28) && (coll23.size == placeholder[Int](29))) && (\n l31 == l18 - placeholder[Long](30) - l19 - placeholder[Long](31) / l32 * l30 + placeholder[Long](32)\n )\n )\n )\n ) && (box33.propositionBytes == coll8(placeholder[Int](33)))\n ) && (coll34.size == placeholder[Int](34))\n ) && (box33.value >= l19)\n } else { placeholder[Boolean](35) } || if ((bool37 && (INPUTS.size == placeholder[Int](36))) && (OUTPUTS.size == placeholder[Int](37))) {(\n val l44 = if (bool28) { l39 - l40 } else { l18 - l20 }\n val l45 = if (bool28) { l44 / l30 } else { l44 / l32 * l30 }\n val tuple46 = INPUTS(placeholder[Int](38)).tokens.getOrElse(placeholder[Int](39), tuple2)\n val box47 = OUTPUTS(placeholder[Int](40))\n val coll48 = box47.tokens\n val tuple49 = coll48.getOrElse(placeholder[Int](41), tuple2)\n (\n (\n ((l45 == if (tuple46._1 == box7.id) { tuple46._2 } else { placeholder[Long](42) }) && bool22) && (\n (\n (\n (\n ((((bool28 && (tuple3 == tuple24)) && ((coll27 == coll21) || (l40 == placeholder[Long](43)))) && (coll42 == coll21)) && (l43 == l44)) && (\n coll34.size == placeholder[Int](44)\n )\n ) && (box47.value >= l45 * l32 * l30)\n ) && (coll48.size == placeholder[Int](45))\n ) || (\n (((((!bool28) && (box33.value >= l44)) && (coll34.size == placeholder[Int](46))) && (tuple49._1 == coll21)) && (tuple49._2 >= l45 * l30)) && (\n coll48.size == placeholder[Int](47)\n )\n )\n )\n ) && (box47.propositionBytes == coll13)\n ) && (OUTPUTS(placeholder[Int](48)).tokens.size == placeholder[Int](49))\n )} else { placeholder[Boolean](50) }\n ) || if (((bool6 && (!bool36)) && (INPUTS.size == placeholder[Int](51))) && (OUTPUTS.size == placeholder[Int](52))) {\n (\n (\n (\n (\n (\n ((((l20 == l18 - placeholder[Long](53) - placeholder[Long](54)) && bool22) && (coll25 == coll4)) && (l31 == placeholder[Long](55))) && (\n tuple26 == tuple38\n )\n ) && (box33.propositionBytes == coll13)\n ) && (box33.value == placeholder[Long](56))\n ) && (coll34.size == placeholder[Int](57))\n ) && (coll42 == coll4)\n ) && (l43 == l29 - placeholder[Long](58))\n } else { placeholder[Boolean](59) }\n ) || if ((bool35 && (!bool37)) || if (bool28) { bool36 && (l39 == placeholder[Long](60)) } else { bool36 && (l18 == placeholder[Long](61)) }) {\n ((bool14 && (l20 >= l18 - placeholder[Long](62))) && (coll25 == coll4)) && (l31 == l29)\n } else { placeholder[Boolean](63) }\n )\n}",
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"assets": [
{
"tokenId": "8f305177fd4e340cfc42266d12ce4075a688fb98e7d206057a2f2635a923213d",
"index": 0,
"amount": 1001,
"name": "Call_E_fakeUSD_ERG_1111111_2023-04-30_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1000,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f66616b655553445f4552475f313131313131315f323032332d30342d33305f7065725f31"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "32"
},
"R7": {
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"renderedValue": null
}
},
"spentTransactionId": "8c67527c0ea88ff1d3d30b2d32231561703929fbaac8211472f1a1923e1862a1",
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},
{
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"transactionId": "cd8469037d006fa9e0251ebffe43db2ab230c802c3534c91f0b08dc9ae2e5d1f",
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"index": 1,
"globalIndex": 26060106,
"creationHeight": 928651,
"settlementHeight": 928653,
"ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
"address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5cc4ffb4ae4e12f5702860518e874d51209b687f91c064f0f4bafe39f4c3ff5f",
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{
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"index": 2,
"globalIndex": 26060107,
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"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)}",
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"mainChain": true
}
],
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}