Transaction
ID: 0d8bda317d...a5b8
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
78,533.83
Spent
Address:
Output transaction:
Settlement height:
Value:
442.52 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5,704.25
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5,996.99
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
90.16 ERG
Tokens:
11,701.24
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
352.36 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 831,375
Total coins transferred: 442.52 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000389 ERG
Raw Transaction Data
{
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"inclusionHeight": 935610,
"timestamp": 1675826386681,
"index": 2,
"globalIndex": 4727854,
"numConfirmations": 831375,
"inputs": [
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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],
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{
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"outputIndex": 62,
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"ergoTree": "0008cd037b25de20043a316b8752ce7b3e0cfd0f2a9ed9585af725992e57e815ee94a7d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b25de,1cf5e7,...)))}",
"address": "9hQ3LfJ8fDn8qLk9ThDBCGUKb8kr16aFDjdtUQjV38crbirUvoP",
"assets": [
{
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"index": 0,
"amount": 5704250000,
"name": "duckpools Staker whitelist token",
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"type": "EIP-004"
}
],
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},
{
"boxId": "cdcfba520b4d4cf3e25b74d21c685cbb212459cfd562ad9d8d0697c0f1ca57cc",
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"outputBlockId": "db15981e82b0b67cb8003e48e72f4653d4a1c98d11b83a6ffd857e3d78969634",
"outputTransactionId": "59fbedea7ab57a4bb528a23cd246080a70945031c679287bfb6e0846e859c7e8",
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"ergoTree": "0008cd037b25de20043a316b8752ce7b3e0cfd0f2a9ed9585af725992e57e815ee94a7d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b25de,1cf5e7,...)))}",
"address": "9hQ3LfJ8fDn8qLk9ThDBCGUKb8kr16aFDjdtUQjV38crbirUvoP",
"assets": [
{
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"index": 0,
"amount": 5996990000,
"name": "duckpools Staker whitelist token",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "23e6e30ebbc8fac1e749bbb3317ebcb0512e8c1c57605c19d9123347a8c982a3",
"transactionId": "0d8bda317d1d5bebd23afaa707c64b2d72ccbf6982521e4ac1ced1fdd886a5b8",
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"value": 90157367085,
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"ergoTreeConstants": "0: 6\n1: 4\n2: 5\n3: 0\n4: 0\n5: 10000000\n6: 0\n7: 10000000\n8: 0\n9: 0\n10: 0\n11: 1\n12: 5000000\n13: 0\n14: 2\n15: 2000000\n16: 0\n17: 0\n18: 7000000\n19: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n20: 1\n21: true\n22: 1\n23: 0\n24: false",
"ergoTreeScript": "{if (OUTPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n val box2 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == SELF.R6[Coll[Byte]].get, (box1.value == placeholder[Long](5)) && (\n box1.tokens.size == placeholder[Int](6)\n ), (box2.value == placeholder[Long](7)) && (box2.tokens.size == placeholder[Int](8))\n )\n )\n )\n)} else {(\n val box1 = CONTEXT.dataInputs(placeholder[Int](9))\n val coll2 = box1.tokens\n val coll3 = coll2(placeholder[Int](10))._1\n val box4 = OUTPUTS(placeholder[Int](11))\n val bool5 = (box4.value == placeholder[Long](12)) && (box4.tokens.size == placeholder[Int](13))\n val box6 = OUTPUTS(placeholder[Int](14))\n val bool7 = (box6.value == placeholder[Long](15)) && (box6.tokens.size == placeholder[Int](16))\n val box8 = OUTPUTS(placeholder[Int](17))\n val bool9 = ((box8.value == SELF.value - placeholder[Long](18)) && (box8.tokens == SELF.tokens)) && (box8.propositionBytes == SELF.R5[Coll[Byte]].get)\n if (coll3 == placeholder[Coll[Byte]](19)) { sigmaProp(allOf(Coll[Boolean](box1.R4[Long].get > SELF.R4[Long].get, bool5, bool7, bool9))) } else {\n if (coll3 == SELF.R6[Coll[Byte]].get) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n if (coll2.size == placeholder[Int](20)) { placeholder[Boolean](21) } else {\n coll2(placeholder[Int](22))._2 < SELF.tokens(placeholder[Int](23))._2\n }, bool5, bool7, bool9\n )\n )\n )\n } else { sigmaProp(placeholder[Boolean](24)) }\n }\n)}}",
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}
],
"additionalRegisters": {
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"sigmaType": "SLong",
"renderedValue": "570621468"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd037b25de20043a316b8752ce7b3e0cfd0f2a9ed9585af725992e57e815ee94a7d2"
},
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"sigmaType": "Coll[SByte]",
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},
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"creationHeight": 935608,
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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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"creationHeight": 935608,
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"ergoTree": "0008cd037b25de20043a316b8752ce7b3e0cfd0f2a9ed9585af725992e57e815ee94a7d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b25de,1cf5e7,...)))}",
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