Transaction
ID: 312400a1a5...c312
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
95,548.33
Spent
Address:
Output transaction:
Settlement height:
Value:
41,275.55 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
54,039.63
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
41,275.55 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 724,515
Total coins transferred: 41,275.55 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000462 ERG
Raw Transaction Data
{
"id": "312400a1a5fb151258fcf880e86ceed8650d4ea31a1deaae95f5ae20d3efc312",
"blockId": "993116f7428533689f050c7d730747f8e7d833ca7bf7ac4b0a7ba515c10f332e",
"inclusionHeight": 1048975,
"timestamp": 1689586863537,
"index": 6,
"globalIndex": 5532918,
"numConfirmations": 724515,
"inputs": [
{
"boxId": "973f1a40c41a63d22b8983c2d3917dd472fab2008f6a2e10a147a48480e17ed1",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2d34b539d573a93c708c7c2bb9bab79ec772febe9a1ebb4b191a35e46f39d949",
"outputTransactionId": "4b28dab8cd6e8f30a390a44b0434093bf4ac9ab955010864a7703c20892a3689",
"outputIndex": 0,
"outputGlobalIndex": 29443484,
"outputCreatedAt": 1011578,
"outputSettledAt": 1011580,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 2\n3: 0\n4: 1\n5: 3\n6: 6\n7: 4\n8: 5\n9: 0\n10: 0\n11: 1\n12: 1\n13: 0\n14: 0\n15: 2\n16: 0\n17: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.R5[Coll[Byte]].get\n val tuple3 = SELF.tokens(placeholder[Int](1))\n val l4 = tuple3._2\n val l5 = CONTEXT.preHeader.timestamp\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = l5 - coll6(placeholder[Int](2)) / coll6(placeholder[Int](3))\n val l8 = coll6(placeholder[Int](4))\n val l9 = coll6(placeholder[Int](5))\n val l10 = l9 - l4\n val l11 = if (l5 > coll6(placeholder[Int](6))) { l9 * coll6(placeholder[Int](7)) / coll6(placeholder[Int](8)) } else { placeholder[Long](9) }\n val l12 = if (l7 >= l8) { l9 - l10 } else { l7 * l9 - l11 / l8 + l11 - l10 }\n val bool13 = l4 == l12\n val box14 = if (bool13) { OUTPUTS(placeholder[Int](10)) } else { OUTPUTS(placeholder[Int](11)) }\n val coll15 = box14.tokens\n val tuple16 = coll15(placeholder[Int](12))\n val coll17 = tuple3._1\n val box18 = OUTPUTS(placeholder[Int](13))\n sigmaProp(\n (\n allOf(Coll[Boolean](box1.tokens.exists({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll2 }), INPUTS(placeholder[Int](14)).id == SELF.id)) && allOf(\n Coll[Boolean](\n box14.propositionBytes == box1.propositionBytes, coll15.size == placeholder[Int](15), coll15(\n placeholder[Int](16)\n )._1 == coll2, tuple16._1 == coll17, tuple16._2 == l12\n )\n )\n ) && (bool13 || \n val tuple19 = box18.tokens(placeholder[Int](17))\n allOf(Coll[Boolean](box18.value == SELF.value, box18.propositionBytes == SELF.propositionBytes, tuple19._1 == coll17, tuple19._2 == l4 - l12, box18.R5[Coll[Byte]].get == coll2, box18.R4[Coll[Long]].get == coll6))\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 0,
"amount": 955483293,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110780f0b252e00480dcc5839561e0a9cade1100c80180e8d78b8261",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,304,1669269600000,2380876400,0,100,1666728000000]"
},
"R5": {
"serializedValue": "0e20eb4a30aca864965cda1f1b86b5036e172d783e0db5f23a7599892b7465cd4f9e",
"sigmaType": "Coll[SByte]",
"renderedValue": "eb4a30aca864965cda1f1b86b5036e172d783e0db5f23a7599892b7465cd4f9e"
}
}
},
{
"boxId": "d0ac1e22d3284ead59928c3ebbcb9847f6233cb0e51288433c2fe51ab6394a1c",
"value": 41275548726377,
"index": 1,
"spendingProof": "f4b0acf6c408673b5455b8d16e7052fb4bacccc954d3cf834f461ea3b8a25440d537cc73e1ff05c71db124fc6740fe2410a2876d3429d980",
"outputBlockId": "0b7f6a211426b633f0d3c58bbd91003fe58c14d0424709647a02ed6e0ccfa8e9",
"outputTransactionId": "cecefb0c19afa8067a87dd75bd95af370013fcf9c8895a3e5c48bcfbd67dfbb3",
"outputIndex": 2,
"outputGlobalIndex": 30911505,
"outputCreatedAt": 1046301,
"outputSettledAt": 1046303,
"ergoTree": "0008cd02630545b1e63b39de734fc2f014e6d93c8c6a2a7649768953e02422baf5228919",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(630545,818d32,...)))}",
"address": "9fGfs27iDB9ysarDtNemJoiGxmLRES9KG9egVFtZ3cnkBTnCgsc",
"assets": [
{
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"index": 0,
"amount": 656036522,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1,
"name": "$COMET Oniric 3D Collection 2186",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "AHT Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Spooky Ergo #9",
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{
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"name": "duckpools Staker whitelist token",
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},
{
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{
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{
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},
{
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},
{
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"name": "SPF_Ergo_Spectrum Finance_LP_YF",
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{
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{
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},
{
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{
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"name": "duckpools Staker Vesting Key",
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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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"type": "EIP-004"
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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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"name": "Portrait of a girl",
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "771aec57f34772c4da7596ba285316321778f0dc0449fdb8347a4525ab708114",
"transactionId": "312400a1a5fb151258fcf880e86ceed8650d4ea31a1deaae95f5ae20d3efc312",
"blockId": "993116f7428533689f050c7d730747f8e7d833ca7bf7ac4b0a7ba515c10f332e",
"value": 1000000,
"index": 0,
"globalIndex": 31012165,
"creationHeight": 1048973,
"settlementHeight": 1048975,
"ergoTree": "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",
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.R5[Coll[Byte]].get\n val tuple3 = SELF.tokens(placeholder[Int](1))\n val l4 = tuple3._2\n val l5 = CONTEXT.preHeader.timestamp\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = l5 - coll6(placeholder[Int](2)) / coll6(placeholder[Int](3))\n val l8 = coll6(placeholder[Int](4))\n val l9 = coll6(placeholder[Int](5))\n val l10 = l9 - l4\n val l11 = if (l5 > coll6(placeholder[Int](6))) { l9 * coll6(placeholder[Int](7)) / coll6(placeholder[Int](8)) } else { placeholder[Long](9) }\n val l12 = if (l7 >= l8) { l9 - l10 } else { l7 * l9 - l11 / l8 + l11 - l10 }\n val bool13 = l4 == l12\n val box14 = if (bool13) { OUTPUTS(placeholder[Int](10)) } else { OUTPUTS(placeholder[Int](11)) }\n val coll15 = box14.tokens\n val tuple16 = coll15(placeholder[Int](12))\n val coll17 = tuple3._1\n val box18 = OUTPUTS(placeholder[Int](13))\n sigmaProp(\n (\n allOf(Coll[Boolean](box1.tokens.exists({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll2 }), INPUTS(placeholder[Int](14)).id == SELF.id)) && allOf(\n Coll[Boolean](\n box14.propositionBytes == box1.propositionBytes, coll15.size == placeholder[Int](15), coll15(\n placeholder[Int](16)\n )._1 == coll2, tuple16._1 == coll17, tuple16._2 == l12\n )\n )\n ) && (bool13 || \n val tuple19 = box18.tokens(placeholder[Int](17))\n allOf(Coll[Boolean](box18.value == SELF.value, box18.propositionBytes == SELF.propositionBytes, tuple19._1 == coll17, tuple19._2 == l4 - l12, box18.R5[Coll[Byte]].get == coll2, box18.R4[Coll[Long]].get == coll6))\n )\n )\n}",
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"sigmaType": "Coll[SLong]",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(630545,818d32,...)))}",
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