Transaction
ID: 4982a75ebe...3bbb
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,584,059.59
Spent
Address:
Output transaction:
Settlement height:
Value:
591 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,575,259.25
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:
591 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 958,387
Total coins transferred: 591 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000476 ERG
Raw Transaction Data
{
"id": "4982a75ebe4936ac60d6f74c370ceb05a08f5bc9a828f5e08151d3726baf3bbb",
"blockId": "769b6a832f338e52d242fba22d2839860068d36b8d9b6682f00cb842350f29c3",
"inclusionHeight": 807941,
"timestamp": 1659565726654,
"index": 31,
"globalIndex": 3679134,
"numConfirmations": 958387,
"inputs": [
{
"boxId": "189d45b31801771def5ea093e6940529e0212445f67e13c1e0289e0a3eade140",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9d4b12fe661b5d297e5df2c4708804284fb9179d77ef6c018ad0225e58da00f7",
"outputTransactionId": "b39529bcc2de6f47516b41a6d9362851f0b958ab75bfbbf7ba8b6c9625d0fbda",
"outputIndex": 0,
"outputGlobalIndex": 19774048,
"outputCreatedAt": 807253,
"outputSettledAt": 807255,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 2\n3: 0\n4: 1\n5: 3\n6: 0\n7: 1\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: 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 coll5 = SELF.R4[Coll[Long]].get\n val l6 = CONTEXT.preHeader.timestamp - coll5(placeholder[Int](2)) / coll5(placeholder[Int](3))\n val l7 = coll5(placeholder[Int](4))\n val l8 = coll5(placeholder[Int](5))\n val l9 = l8 - l4\n val l10 = if (l6 >= l7) { l8 - l9 } else { l6 * l8 / l7 - l9 }\n val bool11 = l4 == l10\n val box12 = if (bool11) { OUTPUTS(placeholder[Int](6)) } else { OUTPUTS(placeholder[Int](7)) }\n val coll13 = box12.tokens\n val tuple14 = coll13(placeholder[Int](8))\n val coll15 = tuple3._1\n val box16 = OUTPUTS(placeholder[Int](9))\n sigmaProp(\n (\n allOf(Coll[Boolean](box1.tokens.exists({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll2 }), INPUTS(placeholder[Int](10)).id == SELF.id)) && allOf(\n Coll[Boolean](\n box12.propositionBytes == box1.propositionBytes, coll13.size == placeholder[Int](11), coll13(\n placeholder[Int](12)\n )._1 == coll2, tuple14._1 == coll15, tuple14._2 == l10\n )\n )\n ) && (bool11 || \n val tuple17 = box16.tokens(placeholder[Int](13))\n allOf(Coll[Boolean](box16.value == SELF.value, box16.propositionBytes == SELF.propositionBytes, tuple17._1 == coll15, tuple17._2 == l4 - l10, box16.R5[Coll[Byte]].get == coll2, box16.R4[Coll[Long]].get == coll5))\n )\n )\n}",
"address": "2k6J5ocjeESe4cuXP6rwwq55t6cUwiyqDzNdEFgnKhwnWhttnSShZb4LaMmqTndrog6MbdT8iJbnnwWEcNoeRfEqXBQW4ohBTgm8rDnu9WBBZSixjJoKPT4DStGSobBkoxS4HZMe4brCgujdnmnMBNf8s4cfGtJsxRqGwtLMvmP6Z6FAXw5pYveHRFDBZkhh6qbqoetEKX7ER2kJormhK266bPDQPmFCcsoYRdRiUJBtLoQ3fq4C6N2Mtb3Jab4yqjvjLB7JRTP82wzsXNNbjUsvgCc4wibpMc8MqJutkh7t6trkLmcaH12mAZBWiVhwHkCYCjPFcZZDbr7xeh29UDcwPQdApxHyrWTWHtNRvm9dpwMRjnG2niddbZU82Rpy33cMcN3cEYZajWgDnDKtrtpExC2MWSMCx5ky3t8C1CRtjQYX2yp3x6ZCRxG7vyV7UmfDHWgh9bvU",
"assets": [
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 0,
"amount": 15840595857,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480f0b252a4048088f8c08f60a48ceed3b301",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,274,1651348800000,24112907026]"
},
"R5": {
"serializedValue": "0e2050aede0770ea380ec7badd9cd02fad27d95a062f3caecf3425ca973e656f7fbb",
"sigmaType": "Coll[SByte]",
"renderedValue": "50aede0770ea380ec7badd9cd02fad27d95a062f3caecf3425ca973e656f7fbb"
}
}
},
{
"boxId": "2f360a1a2eb172434acf8693debc9b0b1204acce08ac31b5d2f1a3b94d05dbbb",
"value": 590998203400,
"index": 1,
"spendingProof": "1cf47f084042d9e443a68d4485f7ac5c3926d154f0355e075fd621669c05100308bab24abd242d69bd51ffa638cf81e20c3ce65fbfcd7b8f",
"outputBlockId": "cf2c1272990d450187d16bac94d7af9771441d1f83672fbf9d0a4b754e15777c",
"outputTransactionId": "903be8f7f9b5319f03734089541cf17e2c61e73979772180e92851364381e1dc",
"outputIndex": 3,
"outputGlobalIndex": 19814430,
"outputCreatedAt": 807930,
"outputSettledAt": 807933,
"ergoTree": "0008cd0204c0adc32d09ae48f00ca495fc783ea7ee3c5f1e4d92186c77decee7e8fd00f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4c0adc,896b8a,...)))}",
"address": "9eZ9v2jpXHFyneqWZQbnFb1gZr6db6cdsKKJrztuAeTWKRVcnN6",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Gnomekin #1674 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d61c70de9484469bd5d6a642aa4f9d1a2b66095667920d6b77932339b0cb60c8",
"index": 1,
"amount": 1,
"name": "Kung Muh #02",
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"type": "EIP-004"
},
{
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"name": "Ergoats #00261",
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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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{
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{
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},
{
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{
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"name": "Ergoats #00152",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "58d390a1a5ae9aa36b33411cdae17e36cce2c5329dbe11caece2208d48e9f29e",
"transactionId": "4982a75ebe4936ac60d6f74c370ceb05a08f5bc9a828f5e08151d3726baf3bbb",
"blockId": "769b6a832f338e52d242fba22d2839860068d36b8d9b6682f00cb842350f29c3",
"value": 1000000,
"index": 0,
"globalIndex": 19814892,
"creationHeight": 807938,
"settlementHeight": 807941,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 2\n3: 0\n4: 1\n5: 3\n6: 0\n7: 1\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: 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 coll5 = SELF.R4[Coll[Long]].get\n val l6 = CONTEXT.preHeader.timestamp - coll5(placeholder[Int](2)) / coll5(placeholder[Int](3))\n val l7 = coll5(placeholder[Int](4))\n val l8 = coll5(placeholder[Int](5))\n val l9 = l8 - l4\n val l10 = if (l6 >= l7) { l8 - l9 } else { l6 * l8 / l7 - l9 }\n val bool11 = l4 == l10\n val box12 = if (bool11) { OUTPUTS(placeholder[Int](6)) } else { OUTPUTS(placeholder[Int](7)) }\n val coll13 = box12.tokens\n val tuple14 = coll13(placeholder[Int](8))\n val coll15 = tuple3._1\n val box16 = OUTPUTS(placeholder[Int](9))\n sigmaProp(\n (\n allOf(Coll[Boolean](box1.tokens.exists({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll2 }), INPUTS(placeholder[Int](10)).id == SELF.id)) && allOf(\n Coll[Boolean](\n box12.propositionBytes == box1.propositionBytes, coll13.size == placeholder[Int](11), coll13(\n placeholder[Int](12)\n )._1 == coll2, tuple14._1 == coll15, tuple14._2 == l10\n )\n )\n ) && (bool11 || \n val tuple17 = box16.tokens(placeholder[Int](13))\n allOf(Coll[Boolean](box16.value == SELF.value, box16.propositionBytes == SELF.propositionBytes, tuple17._1 == coll15, tuple17._2 == l4 - l10, box16.R5[Coll[Byte]].get == coll2, box16.R4[Coll[Long]].get == coll5))\n )\n )\n}",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,274,1651348800000,24112907026]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
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{
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"index": 1,
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"creationHeight": 807938,
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"ergoTree": "0008cd0204c0adc32d09ae48f00ca495fc783ea7ee3c5f1e4d92186c77decee7e8fd00f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4c0adc,896b8a,...)))}",
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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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},
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4c0adc,896b8a,...)))}",
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