Transaction
ID: 52915e405b...92c8
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
592.95 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
592.94 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 605,637
Total coins transferred: 592.95 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000884 ERG
Raw Transaction Data
{
"id": "52915e405bd8cddb9bbed2a7b1faa0925ccd7428cc40c52358dbf055fe5d92c8",
"blockId": "b140cf3c90cfb587d5584776f95db35d4070b48139e442cd6f38e3b77ca43703",
"inclusionHeight": 1172982,
"timestamp": 1704643279814,
"index": 20,
"globalIndex": 6426432,
"numConfirmations": 605637,
"inputs": [
{
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"value": 592946700881,
"index": 0,
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"outputBlockId": "fef5b6ba2d0db1256ddaf9149a909bd6705a6f3e9cc03cc4d398a414bae13a03",
"outputTransactionId": "3db88a283bdef8386e68ed68794b5858a9e19f6d8e8bb85ef87a5c9325a0db3e",
"outputIndex": 3,
"outputGlobalIndex": 35872121,
"outputCreatedAt": 1172978,
"outputSettledAt": 1172980,
"ergoTree": "0008cd0359ce912a02fa432af2fc76b17e5aee4bf875c97037d52a147c497d3275f1302d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(59ce91,73175e,...)))}",
"address": "9h9MgsTFVtce9jV3UKTXxy9Zr7q8XNqZDZFsR3HF1jZu8GLDugx",
"assets": [
{
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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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{
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{
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{
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],
"additionalRegisters": {}
},
{
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"outputBlockId": "3915642d79e858b363d3f747c0d06db4f5735b551b8a47563ec890f3e955168f",
"outputTransactionId": "8d4aff5c709d876ad03f28cf28e91c0713ae9ead5b151ddf335764db5455a008",
"outputIndex": 0,
"outputGlobalIndex": 35871407,
"outputCreatedAt": 1172950,
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"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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{
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"amount": 1,
"name": "Bearwhale, the Greedy #PET_005_PR [Bearwhale Saga]",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "SLong",
"renderedValue": "500000000000"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0359ce912a02fa432af2fc76b17e5aee4bf875c97037d52a147c497d3275f1302d"
},
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"sigmaType": null,
"renderedValue": null
},
"R7": {
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"sigmaType": "SGroupElement",
"renderedValue": "0359ce912a02fa432af2fc76b17e5aee4bf875c97037d52a147c497d3275f1302d"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7b0ab3bbe70124c12521e5b3224b73024bd96416acd59a1bf06c3ffdffb4e34e",
"transactionId": "52915e405bd8cddb9bbed2a7b1faa0925ccd7428cc40c52358dbf055fe5d92c8",
"blockId": "b140cf3c90cfb587d5584776f95db35d4070b48139e442cd6f38e3b77ca43703",
"value": 592944700881,
"index": 0,
"globalIndex": 35872299,
"creationHeight": 1172980,
"settlementHeight": 1172982,
"ergoTree": "0008cd0359ce912a02fa432af2fc76b17e5aee4bf875c97037d52a147c497d3275f1302d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(59ce91,73175e,...)))}",
"address": "9h9MgsTFVtce9jV3UKTXxy9Zr7q8XNqZDZFsR3HF1jZu8GLDugx",
"assets": [
{
"tokenId": "abaf9df62c6810b0198333b122d130c29d76d64c6d7f4d57108afc5aaa95efb5",
"index": 0,
"amount": 350652744,
"name": "AirdropTest",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "af0561bf9cff34963c259e685b2f96a901841350d9b01308e174c14f93d3e7e7",
"index": 1,
"amount": 2304000000,
"name": "eVOTE2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "7e2f6a82e3f794b045649e0326eb62bb53e0aa798e60b9ba5a3868358da3130a",
"index": 2,
"amount": 1,
"name": "Sigma Series v1 013 - Shall I render using proposed specifications? 4",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 3,
"amount": 2304000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 4,
"amount": 2000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "863b62d8734dd8693337e042bc167da87e5f79ec6539a0e831f75535e33bafd0",
"index": 5,
"amount": 2500,
"name": "CyberPixels",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 6,
"amount": 1000000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 7,
"amount": 2005000,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 8,
"amount": 1400000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 9,
"amount": 400000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a76db5493b6153ef89f424cf806f77bd816af934e95d3bdfd74a797e1464ea7d",
"index": 10,
"amount": 1,
"name": "#052 | Mandela Nelson | by ErgoPixels",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "094107215e701f8a7bb4bbfd216562c625c909bdea94a854bd9bd5a21a86289b",
"index": 11,
"amount": 1,
"name": "Gnomekin #1050 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "dbd3a44fe197a0b00e86a197dac0f5b7438268219ba908e2fabb9fb9239cda82",
"index": 12,
"amount": 1,
"name": "ERGnomes Loyalty Crypto vs Fiat [154/221]",
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},
{
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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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}