Transaction
ID: 799a2c18e3...5e49
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
874.44 ERG
Tokens:
9,832.60
999,998,710.00
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
22.01 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
874.44 ERG
Tokens:
9,732.60
999,998,810.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
22 ERG
Transaction Details
Confirmations: 349,099
Total coins transferred: 896.45 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000351 ERG
Raw Transaction Data
{
"id": "799a2c18e3aa1a8096a11e370adf151a41837ff28cff5c3b25da4e274c9c5e49",
"blockId": "ed43a4dc9120da3f92c6f957ef402d744d14ba03087d7e5e5296509ed7b089c9",
"inclusionHeight": 1429610,
"timestamp": 1735703383820,
"index": 132,
"globalIndex": 8357878,
"numConfirmations": 349099,
"inputs": [
{
"boxId": "42ec5cfdd26a327d9830264769bed4131a8e8887dff5af6a012dada1342f1b87",
"value": 874441000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "01f02fd27b3831ab20a511674d52348e464feb43fd302246104347a9c8b8fd0e",
"outputTransactionId": "0c7a3420318c20ef8787e4116108e99297dcf491792c02172950596637e81303",
"outputIndex": 0,
"outputGlobalIndex": 45248572,
"outputCreatedAt": 1429602,
"outputSettledAt": 1429605,
"ergoTree": "19d308330402040004000400040204020101040404020402040404040500040205000402050004020400040204040400040004000400040204fe010406040408cd02f54ece9b3cf3da24b1117293190dd5494e88f0b35a8a3cf2509e798d6cf5f8e904020404040a05c801050005000402010104020e20956bcab1ea3ed40c91bf845fe4f2dee727fe130a95f244a41a6ee7a25f14e23f0404050005000e2012f44e2cc16cedc1c94f91beca32d61a07e3c8118577041dd59afc6b1604a33704c0a38601050004020100040205000500d833d601db6308a7d602b17201d6039372027300d604b27201730100d605b2a5730200d606db63087205d607b27206730300d608e4c6a70404d609e4c6a70505d60ae4c6a70705d60b93c2a7c27205d60cb17206d60d93720c7304d60eb27206730500d60fedededededededed938c7204018c720701937208e4c672050404937209e4c67205050593720ae4c67205070593e4c6a7080ee4c67205080e93e4c6a7090ee4c67205090e720b97830301720d938c720e018300027306ec720d93720c7307d610e4c6a70611d611b27210730800d612e4c672050611d613b27212730900d6149372117213d615b27210730a00d616b27212730b00d6179372157216d6188c720e02d61993957203730c8cb27201730d000295720d730e7218d61a8c720402d61b8c720702d61c99721a721bd61ddad9011d63d802d61fdb6308721dd620e4c6721d06119a9a999593b1721f730f73108cb2721f73110002b27220731200b27220731300b2722073140001a7d61ec17205d61fc1a7d620b27212731500d621b27210731600d6229972207221d6239372217220d62499721b721ad6259972137211d62699721f721ed62795720b7226721fd62893721a721bd6299272217209d62ad9012a4463d802d62cc28c722a02d62dd08c722a0195937eb2722c73170004731893722c722dd801d62eb1722c93b4722d7319b1722db4722c9591722e731a731b731c722ed62b731dd62cb2a5731e00d62dda722a018602722b722cd62eb2a5731f00d62f9d9c72277e7320057321d63093721f721ed63196830601720f72237214721772307228d6329995720d7322721895720373238cb2720173240002d633f07232d1eded9572037325938cb27201732600017327ec72039372027328978306019683040196830401720f72147217721990721c721d9399721e721f9c721c720a9683020193721c722291722273299683040196830401720f722372177219ed91a372088f72217209968302019372247225917225732a9372269c7224720a9683050196830601ec720fed937227721f7203722372147217722872197229722d9683020193c1722e722f93732bcbc2722e93c1722c99997227722f7e732c05968304017231722d8f7232732d907233721d9593b1a4732e732f968303017231da722a018602722bb2a473300091723273319683040196830401ec720fed72307203722372147230722993722499721672159683020193722472339172247332",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 127\n27: 3\n28: 2\n29: SigmaProp(ProveDlog(ECPoint(f54ece,9f2670,...)))\n30: 1\n31: 2\n32: 5\n33: 100\n34: 0\n35: 0\n36: 1\n37: true\n38: 1\n39: Coll(-107,107,-54,-79,-22,62,-44,12,-111,-65,-124,95,-28,-14,-34,-25,39,-2,19,10,-107,-14,68,-92,26,110,-25,-94,95,20,-30,63)\n40: 2\n41: 0\n42: 0\n43: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n44: 1100000\n45: 0\n46: 1\n47: false\n48: 1\n49: 0\n50: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val i8 = SELF.R4[Int].get\n val l9 = SELF.R5[Long].get\n val l10 = SELF.R7[Long].get\n val bool11 = SELF.propositionBytes == box5.propositionBytes\n val i12 = coll6.size\n val bool13 = i12 == placeholder[Int](4)\n val tuple14 = coll6(placeholder[Int](5))\n val bool15 = (\n (\n (\n (\n ((((tuple4._1 == tuple7._1) && (i8 == box5.R4[Int].get)) && (l9 == box5.R5[Long].get)) && (l10 == box5.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool11\n ) && anyOf(Coll[Boolean](bool13, tuple14._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool13 || (i12 == placeholder[Int](7)))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](8))\n val coll18 = box5.R6[Coll[Long]].get\n val l19 = coll18(placeholder[Int](9))\n val bool20 = l17 == l19\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll18(placeholder[Int](11))\n val bool23 = l21 == l22\n val l24 = tuple14._2\n val bool25 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool13) { placeholder[Long](14) } else { l24 }\n val l26 = tuple4._2\n val l27 = tuple7._2\n val l28 = l26 - l27\n val l29 = {(box29: Box) =>\n val coll31 = box29.tokens\n val coll32 = box29.R6[Coll[Long]].get\n if (coll31.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll31(placeholder[Int](17))._2 } - coll32(placeholder[Int](18)) + coll32(\n placeholder[Int](19)\n ) + coll32(placeholder[Int](20))\n }(SELF)\n val l30 = box5.value\n val l31 = SELF.value\n val l32 = coll18(placeholder[Int](21))\n val l33 = coll16(placeholder[Int](22))\n val l34 = l32 - l33\n val bool35 = l33 == l32\n val l36 = l27 - l26\n val l37 = l19 - l17\n val l38 = l31 - l30\n val l39 = if (bool11) { l38 } else { l31 }\n val bool40 = l26 == l27\n val bool41 = l33 >= l9\n val func42 = {(tuple42: (SigmaProp, Box)) =>\n val coll44 = tuple42._2.propositionBytes\n val coll45 = tuple42._1.propBytes\n if (coll44(placeholder[Int](23)).toInt == placeholder[Int](24)) { coll44 == coll45 } else {(\n val i46 = coll44.size\n coll45.slice(placeholder[Int](25), coll45.size) == coll44.slice(\n if (i46 > placeholder[Int](26)) { placeholder[Int](27) } else { placeholder[Int](28) }, i46\n )\n )}\n }\n val prop43 = placeholder[SigmaProp](29)\n val box44 = OUTPUTS(placeholder[Int](30))\n val bool45 = func42((prop43, box44))\n val box46 = OUTPUTS(placeholder[Int](31))\n val l47 = l39 * placeholder[Int](32).toLong / placeholder[Long](33)\n val bool48 = l31 == l30\n val bool49 = allOf(Coll[Boolean](bool15, bool35, bool20, bool23, bool48, bool40))\n val l50 = if (bool13) { placeholder[Long](34) } else { l24 } - if (bool3) { placeholder[Long](35) } else { coll1(placeholder[Int](36))._2 }\n val l51 = !l50\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](37) } else { coll1(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39) } && (bool3 || (i2 == placeholder[Int](40)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool20, bool23, bool25)), l28 <= l29, l30 - l31 == l28 * l10, allOf(\n Coll[Boolean](l28 == l34, l34 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool35, bool23, bool25)), (HEIGHT > i8) && (l33 < l9), allOf(\n Coll[Boolean](l36 == l37, l37 > placeholder[Long](42))\n ), l38 == l36 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || ((l39 == l31) && bool3), bool35, bool20, bool23, bool40, bool25)), bool41, bool45, allOf(\n Coll[Boolean](box46.value == l47, placeholder[Coll[Byte]](43) == blake2b256(box46.propositionBytes))\n ), box44.value == l39 - l47 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool49, bool45, l50 < placeholder[Long](45), l51 <= l29)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool49, func42((prop43, INPUTS(placeholder[Int](48)))), l50 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || (bool48 && bool3), bool35, bool20, bool48)), bool41, l36 == l22 - l21, allOf(\n Coll[Boolean](l36 == l51, l36 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "fe68b9c73c341f14f531eed94a582386b0592db5e254e68576199e79e4d698a7",
"index": 0,
"amount": 999998710000001,
"name": "Gluon Security Audit APT",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "956bcab1ea3ed40c91bf845fe4f2dee727fe130a95f244a41a6ee7a25f14e23f",
"index": 1,
"amount": 9832600000,
"name": "Gluon",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0580f28ba809",
"sigmaType": "SLong",
"renderedValue": "1250000000"
},
"R6": {
"serializedValue": "110380a3f1ed0a0080c9d29f01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1457400000,0,167400000]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05b009",
"sigmaType": "SLong",
"renderedValue": "600"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R4": {
"serializedValue": "049ca8af01",
"sigmaType": "SInt",
"renderedValue": "1436174"
}
}
},
{
"boxId": "9959e2c55f7057894a917eb13f2f96bf1ab074ed86b4432aaae6e6b57dc6e7c4",
"value": 1000000,
"index": 1,
"spendingProof": "2471e7aaf27ac921761253e09df94eb6e95bd5288014e1c9652841ba89c2bf8a56d13c03561ea256a994311e825db0404aa851a80f05c394",
"outputBlockId": "01f02fd27b3831ab20a511674d52348e464feb43fd302246104347a9c8b8fd0e",
"outputTransactionId": "0c7a3420318c20ef8787e4116108e99297dcf491792c02172950596637e81303",
"outputIndex": 1,
"outputGlobalIndex": 45248573,
"outputCreatedAt": 1429602,
"outputSettledAt": 1429605,
"ergoTree": "0008cd03cb9109bebeb80ab0335f51cc33d10b033adab694d936c8b5d58709398682ffd0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cb9109,b07aea,...)))}",
"address": "9i1TXTGm9NZKuPXuPXeHsKc2baCPbFZFsQ7e1yDbmN1Kpqu5ybs",
"assets": [
{
"tokenId": "fe68b9c73c341f14f531eed94a582386b0592db5e254e68576199e79e4d698a7",
"index": 0,
"amount": 100000000,
"name": "Gluon Security Audit APT",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "af4b1bdfbf7c6791afe5d1e5ddaddb0bbcc183c4d47d92f70e4aa96695be8265",
"value": 22005000000,
"index": 2,
"spendingProof": "32ea62908d1e352e2f17b3a1a3aa5be528f470915705d74676fbd26f96d98c27caff5426da7aac7b7c148acdac180556350effdc4df1df2e",
"outputBlockId": "7c11dce27163d8475f571f3235921fc973a388f002fe607634927af4d1e4e3b4",
"outputTransactionId": "303964a412c995cabbeb4f17e9a553adfae0c9aeff4eb90a68a750699e0d2b65",
"outputIndex": 0,
"outputGlobalIndex": 44890903,
"outputCreatedAt": 1419273,
"outputSettledAt": 1419275,
"ergoTree": "0008cd03cb9109bebeb80ab0335f51cc33d10b033adab694d936c8b5d58709398682ffd0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cb9109,b07aea,...)))}",
"address": "9i1TXTGm9NZKuPXuPXeHsKc2baCPbFZFsQ7e1yDbmN1Kpqu5ybs",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20128eb93e790236fc03063d2f3ca6d8003fefde1c3cba81d2fff7750c65b0c1c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "128eb93e790236fc03063d2f3ca6d8003fefde1c3cba81d2fff7750c65b0c1c6"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "82bd020b631e4e21f88d7ebefbb010039ac55c6fee22d289cad4c10373b1b609",
"transactionId": "799a2c18e3aa1a8096a11e370adf151a41837ff28cff5c3b25da4e274c9c5e49",
"blockId": "ed43a4dc9120da3f92c6f957ef402d744d14ba03087d7e5e5296509ed7b089c9",
"value": 874441000000,
"index": 0,
"globalIndex": 45249304,
"creationHeight": 1429608,
"settlementHeight": 1429610,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 127\n27: 3\n28: 2\n29: SigmaProp(ProveDlog(ECPoint(f54ece,9f2670,...)))\n30: 1\n31: 2\n32: 5\n33: 100\n34: 0\n35: 0\n36: 1\n37: true\n38: 1\n39: Coll(-107,107,-54,-79,-22,62,-44,12,-111,-65,-124,95,-28,-14,-34,-25,39,-2,19,10,-107,-14,68,-92,26,110,-25,-94,95,20,-30,63)\n40: 2\n41: 0\n42: 0\n43: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n44: 1100000\n45: 0\n46: 1\n47: false\n48: 1\n49: 0\n50: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val i8 = SELF.R4[Int].get\n val l9 = SELF.R5[Long].get\n val l10 = SELF.R7[Long].get\n val bool11 = SELF.propositionBytes == box5.propositionBytes\n val i12 = coll6.size\n val bool13 = i12 == placeholder[Int](4)\n val tuple14 = coll6(placeholder[Int](5))\n val bool15 = (\n (\n (\n (\n ((((tuple4._1 == tuple7._1) && (i8 == box5.R4[Int].get)) && (l9 == box5.R5[Long].get)) && (l10 == box5.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool11\n ) && anyOf(Coll[Boolean](bool13, tuple14._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool13 || (i12 == placeholder[Int](7)))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](8))\n val coll18 = box5.R6[Coll[Long]].get\n val l19 = coll18(placeholder[Int](9))\n val bool20 = l17 == l19\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll18(placeholder[Int](11))\n val bool23 = l21 == l22\n val l24 = tuple14._2\n val bool25 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool13) { placeholder[Long](14) } else { l24 }\n val l26 = tuple4._2\n val l27 = tuple7._2\n val l28 = l26 - l27\n val l29 = {(box29: Box) =>\n val coll31 = box29.tokens\n val coll32 = box29.R6[Coll[Long]].get\n if (coll31.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll31(placeholder[Int](17))._2 } - coll32(placeholder[Int](18)) + coll32(\n placeholder[Int](19)\n ) + coll32(placeholder[Int](20))\n }(SELF)\n val l30 = box5.value\n val l31 = SELF.value\n val l32 = coll18(placeholder[Int](21))\n val l33 = coll16(placeholder[Int](22))\n val l34 = l32 - l33\n val bool35 = l33 == l32\n val l36 = l27 - l26\n val l37 = l19 - l17\n val l38 = l31 - l30\n val l39 = if (bool11) { l38 } else { l31 }\n val bool40 = l26 == l27\n val bool41 = l33 >= l9\n val func42 = {(tuple42: (SigmaProp, Box)) =>\n val coll44 = tuple42._2.propositionBytes\n val coll45 = tuple42._1.propBytes\n if (coll44(placeholder[Int](23)).toInt == placeholder[Int](24)) { coll44 == coll45 } else {(\n val i46 = coll44.size\n coll45.slice(placeholder[Int](25), coll45.size) == coll44.slice(\n if (i46 > placeholder[Int](26)) { placeholder[Int](27) } else { placeholder[Int](28) }, i46\n )\n )}\n }\n val prop43 = placeholder[SigmaProp](29)\n val box44 = OUTPUTS(placeholder[Int](30))\n val bool45 = func42((prop43, box44))\n val box46 = OUTPUTS(placeholder[Int](31))\n val l47 = l39 * placeholder[Int](32).toLong / placeholder[Long](33)\n val bool48 = l31 == l30\n val bool49 = allOf(Coll[Boolean](bool15, bool35, bool20, bool23, bool48, bool40))\n val l50 = if (bool13) { placeholder[Long](34) } else { l24 } - if (bool3) { placeholder[Long](35) } else { coll1(placeholder[Int](36))._2 }\n val l51 = !l50\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](37) } else { coll1(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39) } && (bool3 || (i2 == placeholder[Int](40)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool20, bool23, bool25)), l28 <= l29, l30 - l31 == l28 * l10, allOf(\n Coll[Boolean](l28 == l34, l34 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool35, bool23, bool25)), (HEIGHT > i8) && (l33 < l9), allOf(\n Coll[Boolean](l36 == l37, l37 > placeholder[Long](42))\n ), l38 == l36 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || ((l39 == l31) && bool3), bool35, bool20, bool23, bool40, bool25)), bool41, bool45, allOf(\n Coll[Boolean](box46.value == l47, placeholder[Coll[Byte]](43) == blake2b256(box46.propositionBytes))\n ), box44.value == l39 - l47 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool49, bool45, l50 < placeholder[Long](45), l51 <= l29)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool49, func42((prop43, INPUTS(placeholder[Int](48)))), l50 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || (bool48 && bool3), bool35, bool20, bool48)), bool41, l36 == l22 - l21, allOf(\n Coll[Boolean](l36 == l51, l36 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "fe68b9c73c341f14f531eed94a582386b0592db5e254e68576199e79e4d698a7",
"index": 0,
"amount": 999998810000001,
"name": "Gluon Security Audit APT",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "956bcab1ea3ed40c91bf845fe4f2dee727fe130a95f244a41a6ee7a25f14e23f",
"index": 1,
"amount": 9732600000,
"name": "Gluon",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0580f28ba809",
"sigmaType": "SLong",
"renderedValue": "1250000000"
},
"R6": {
"serializedValue": "110380a3f1ed0a0080cd81ff01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1457400000,0,267400000]"
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