Transaction
ID: eaa5c42bdd...5d82
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
3,864.01
Spent
Address:
Output transaction:
Settlement height:
Value:
4.87 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
3,091.21
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:
4.86 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 820,798
Total coins transferred: 4.87 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000455 ERG
Raw Transaction Data
{
"id": "eaa5c42bdd48b061cf215badc49e53041327fd058c404bfa21ad24ee38bf5d82",
"blockId": "1a7096d549ee846b0faed9b28ad53ba06ee923e1a2a6fea06edc801f50de3157",
"inclusionHeight": 948085,
"timestamp": 1677338878670,
"index": 28,
"globalIndex": 4815976,
"numConfirmations": 820798,
"inputs": [
{
"boxId": "616ecd76eb9e6a292968ffd4321f60b257ef7b9d619f9f25c080698918fcc6ae",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "45e1c79317e3c080015ab70b073305e1e0e8a032e992158809639dd246fad9e4",
"outputTransactionId": "e48dd91b97cf811f0901e378c43b974a4c5d733080b265c9b886f564475e7da6",
"outputIndex": 0,
"outputGlobalIndex": 26531749,
"outputCreatedAt": 939820,
"outputSettledAt": 939822,
"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": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 38640137,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480f0b252da05809e94fb8160e0bec6f401",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1649530800000,256430000]"
},
"R5": {
"serializedValue": "0e20c862ab0fcc48eb181c92610086a5623384eb41554c845b5853854e5530a2a56e",
"sigmaType": "Coll[SByte]",
"renderedValue": "c862ab0fcc48eb181c92610086a5623384eb41554c845b5853854e5530a2a56e"
}
}
},
{
"boxId": "b0159a10ae94ad7c2f602a9bca84e0a696f21ed0f55d109fa14e9fed9fa2ee96",
"value": 4865810288,
"index": 1,
"spendingProof": "5263d8e56dac50a0289bb4e7802964bda57fcb1b77433988cdece592b9defef143e0737cfdaf0644ca405b7008bd8e99cec413286a955d7a",
"outputBlockId": "e88c0fcf0a4e2b25f708809830b3e5b71d35acc4e6cac6edf064e4c889cea6cd",
"outputTransactionId": "c5097b804a10b4e42c2d197f3ff415029aead6de23f62c18fe3cd3326abcd83e",
"outputIndex": 0,
"outputGlobalIndex": 26889030,
"outputCreatedAt": 947734,
"outputSettledAt": 947736,
"ergoTree": "0008cd025ad174087240014d05297add49bfcfac283ee290b3bff4e2a7b2d3140cef77c9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ad174,6a09d1,...)))}",
"address": "9fD4LseojrAMXeoW1a7XS6BZqjTA28T557mFstr2js391em6gJk",
"assets": [
{
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"index": 0,
"amount": 5000,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f5027e5a8c4f95dc53fcfb08f3174544c9289234fba9e241cc7eb424e74abc89",
"index": 1,
"amount": 1,
"name": "CyberEgg #182",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "Degen Divers #61",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Ergo_Spectrum Finance_LP",
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},
{
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"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"amount": 140019564,
"name": "CYPX",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "Cybernetic Shine",
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"type": "EIP-004"
},
{
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"index": 7,
"amount": 1,
"name": "Paideia Staker Round 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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"index": 14,
"amount": 1,
"name": "ErgoGames Staker Round Vesting Key",
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},
{
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},
{
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"name": "swampaudio staker Vesting Key",
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"type": "EIP-004"
},
{
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"index": 17,
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"name": "Blue Lights",
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"type": "EIP-004"
},
{
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"index": 18,
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"name": "Aneta #2487",
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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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"index": 24,
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"name": "duckpools Staker Vesting Key",
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"type": "EIP-004"
},
{
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"index": 25,
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"name": "ErgoGames Seed Round 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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{
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"name": "CyberVerse Staker Round Vesting Key",
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},
{
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},
{
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},
{
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"index": 40,
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"name": "EGIO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "ff165c75d612b259fadb53cadd48c254198eb87ca34ffc0931c3e89b38175eea",
"transactionId": "eaa5c42bdd48b061cf215badc49e53041327fd058c404bfa21ad24ee38bf5d82",
"blockId": "1a7096d549ee846b0faed9b28ad53ba06ee923e1a2a6fea06edc801f50de3157",
"value": 1000000,
"index": 0,
"globalIndex": 26906680,
"creationHeight": 948083,
"settlementHeight": 948085,
"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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"assets": [
{
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"index": 0,
"amount": 30912110,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1649530800000,256430000]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "c862ab0fcc48eb181c92610086a5623384eb41554c845b5853854e5530a2a56e"
}
},
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},
{
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"index": 1,
"globalIndex": 26906681,
"creationHeight": 948083,
"settlementHeight": 948085,
"ergoTree": "0008cd025ad174087240014d05297add49bfcfac283ee290b3bff4e2a7b2d3140cef77c9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ad174,6a09d1,...)))}",
"address": "9fD4LseojrAMXeoW1a7XS6BZqjTA28T557mFstr2js391em6gJk",
"assets": [
{
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"type": "EIP-004"
},
{
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}
],
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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(5ad174,6a09d1,...)))}",
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