Transaction
ID: 8879e19827...59e3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.812091172 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.711991172 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 133,472
Total coins transferred: 0.813091172 ERG
Fees: 0.0011 ERG
Fees per byte: 0.0000005 ERG
Raw Transaction Data
{
"id": "8879e1982770c340a46b27cff80c5306fecf79fc977490e2ebfad8403ab559e3",
"blockId": "30f70b0f331449fb7229ae5aca3d0f612c0050f57cef1eab81475983f3224be4",
"inclusionHeight": 1634645,
"timestamp": 1760534703430,
"index": 6,
"globalIndex": 9629479,
"numConfirmations": 133472,
"inputs": [
{
"boxId": "0ad245d5bc37de4b2f453e892addd2b68bcc471a318d489c2356d588da584b6c",
"value": 1000000,
"index": 0,
"spendingProof": "700a8d1fd12e4ddbaacbb0903278c4d31bb2d5da977309c3f774a9a2512ddd040b8dbd38dec4ed8c782f60af7372c326f7f8f1c1ff6502e8",
"outputBlockId": "c486270ff8abe1f99e2be35cb4dd06cecaa41bfd7dd8c47f61c26818f6bff051",
"outputTransactionId": "34595d3055ef374321cfd1fc69d6300ca92c020e44de54a394db35aa91964f4c",
"outputIndex": 3,
"outputGlobalIndex": 50878183,
"outputCreatedAt": 1634634,
"outputSettledAt": 1634636,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 3000\n2: 3000\n3: 100000\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 4\n10: 3\n11: 1\n12: 2\n13: 1\n14: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n15: 0\n16: 0\n17: 2\n18: false\n19: false\n20: 2\n21: 2\n22: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 }).size == placeholder[Int](0)\n val bool3 = OUTPUTS.forall({(box3: Box) => box3.propositionBytes != coll1 })\n val i4 = SELF.R8[Int].get\n val ge5 = SELF.R4[GroupElement].get\n val prop6 = proveDlog(ge5)\n val tuple7 = SELF.R7[(Int, (Long, Long))].get\n val tuple8 = tuple7._2\n val l9 = tuple8._2\n val l10 = tuple8._1\n val l11 = l9 * if (l10 > placeholder[Long](1)) { l10 } else { placeholder[Long](2) } / placeholder[Long](3)\n val tuple12 = SELF.R6[(Coll[Byte], Long)].get\n val l13 = tuple12._2\n val coll14 = tuple12._1\n val bool15 = coll14.size == placeholder[Int](4)\n val func16 = {(box16: Box) => if (bool15) { box16.value >= l13 } else {(\n val coll18 = box16.tokens\n val tuple19 = coll18(placeholder[Int](5))\n allOf(Coll[Boolean](coll18.size > placeholder[Int](6), tuple19._1 == coll14, tuple19._2 >= l13))\n )} }\n val tuple17 = SELF.R5[(Coll[Byte], Long)].get\n val l18 = tuple17._2\n val coll19 = tuple17._1\n val i20 = SELF.creationInfo._1 + tuple7._1\n val opt21 = SELF.R9[GroupElement]\n val box22 = OUTPUTS(placeholder[Int](7))\n sigmaProp(bool2) && sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](8)))) && prop6 || sigmaProp(if (OUTPUTS.size >= placeholder[Int](9)) {(\n val box23 = OUTPUTS(placeholder[Int](10))\n val opt24 = box23.R4[GroupElement]\n val opt25 = box23.R5[(Coll[Byte], Long)]\n val opt26 = box23.R6[(Coll[Byte], Long)]\n val opt27 = box23.R7[(Int, (Long, Long))]\n val opt28 = box23.R8[Int]\n val bool29 = box23.R9[GroupElement].isDefined\n val box30 = OUTPUTS(placeholder[Int](11))\n val box31 = OUTPUTS(placeholder[Int](12))\n if (allOf(Coll[Boolean](opt24.isDefined, opt25.isDefined, opt26.isDefined, opt27.isDefined, opt28.isDefined, bool29))) { allOf(Coll[Boolean](i4 == placeholder[Int](13), if (bool15) { SELF.value >= l13 } else { SELF.tokens.exists({(tuple32: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple32._1 == coll14, tuple32._2 >= l13)) }) }, allOf(Coll[Boolean](box30.value >= l9 - l11, box30.propositionBytes == prop6.propBytes)), allOf(Coll[Boolean](box31.value >= l11, box31.propositionBytes == placeholder[SigmaProp](14).propBytes)), func16(OUTPUTS(placeholder[Int](15))), {(box32: Box) => if (coll19.size == placeholder[Int](16)) { box32.value >= l18 } else { box32.tokens.exists({(tuple34: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple34._1 == coll19, tuple34._2 >= l18)) }) } }(box23), allOf(Coll[Boolean](box23.propositionBytes == coll1, opt24.get == ge5, opt25.get == tuple17, opt26.get == tuple12, opt27.get == tuple7, opt28.get == placeholder[Int](17), bool29)))) } else { placeholder[Boolean](18) }\n )} else { placeholder[Boolean](19) }) || sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](20), HEIGHT > i20))) && prop6 || if (opt21.isDefined) {\n sigmaProp(\n allOf(Coll[Boolean](bool2, bool3, i4 == placeholder[Int](21), HEIGHT <= i20, func16(box22), box22.propositionBytes == prop6.propBytes))\n ) && proveDlog(opt21.get)\n } else { sigmaProp(placeholder[Boolean](22)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c",
"index": 0,
"amount": 200,
"name": "MEW",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e206c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c9003",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c,200]"
},
"R6": {
"serializedValue": "4d0e008084af5f",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,100000000]"
},
"R8": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
},
"R7": {
"serializedValue": "40593cf02e80dac409",
"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "070267aefd87068bc22ce5217e8b8539b3460a5bfe9e688bae23a15afe480b0a2921",
"sigmaType": "SGroupElement",
"renderedValue": "0267aefd87068bc22ce5217e8b8539b3460a5bfe9e688bae23a15afe480b0a2921"
},
"R4": {
"serializedValue": "0702e031329a044738c2bafd49d552199d801a5a0551c8a952bc4aa4db66cc37ceea",
"sigmaType": "SGroupElement",
"renderedValue": "02e031329a044738c2bafd49d552199d801a5a0551c8a952bc4aa4db66cc37ceea"
}
}
},
{
"boxId": "8482a71cefd2fe21c1e393d50d8a04bae58ece5e36d70343907b089826342353",
"value": 812091172,
"index": 1,
"spendingProof": "47d953bd35f3f0ee745a37175e1303975e0c80637386a9ff1b2ea39bf0cf12969199c5f9b9483b0d55bfa3223a1bbf9bd512f46ac91f77a5",
"outputBlockId": "bc38c87d7f6661758b146f2f99fee18781de9f67746cc39fc2b960e5df8bf3d0",
"outputTransactionId": "d7891b525443399e7d601e5282a9561cf4b995365ca7bc8f89fb7ec5e2290906",
"outputIndex": 5,
"outputGlobalIndex": 50878334,
"outputCreatedAt": 1634639,
"outputSettledAt": 1634641,
"ergoTree": "0008cd0267aefd87068bc22ce5217e8b8539b3460a5bfe9e688bae23a15afe480b0a2921",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67aefd,c2073e,...)))}",
"address": "9fJiyM6A77VGoN6rNy6dYzYdaJ5JqLKfChoX1QXCYS6kPs4bXBp",
"assets": [
{
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"index": 0,
"amount": 1591,
"name": "MEW",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
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"name": " Rubber",
"decimals": 2,
"type": "EIP-004"
},
{
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"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"name": "🚬",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "LUMBER JOE ULTRA RARE",
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"type": "EIP-004"
},
{
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},
{
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"index": 7,
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"name": "FAKU",
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"type": "EIP-004"
},
{
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"index": 8,
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"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 1,
"name": "HOSKINAUT ULTRA RARE",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 1,
"name": "LUNAGRATZ RARE",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "TEA-MAN DAN RARE",
"decimals": 0,
"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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},
{
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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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