Transaction
ID: f07bd5377a...c969
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
8.19 ERG
Tokens:
Outputs (6)
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
Tokens:
1,681.50
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
8.16 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Transaction Details
Confirmations: 1,011,547
Total coins transferred: 8.19 ERG
Fees: 0.01 ERG
Fees per byte: 0.00000469 ERG
Raw Transaction Data
{
"id": "f07bd5377a07d9a9effdfb8f1746e0e09ceee4bb537baf97caad59ae5dc3c969",
"blockId": "fef7cc2922ccb1a33efd09b8f3d4bcd59c3018d71a1b4b9a26357c8a3f9d8471",
"inclusionHeight": 745480,
"timestamp": 1652059353186,
"index": 1,
"globalIndex": 3150369,
"numConfirmations": 1011547,
"inputs": [
{
"boxId": "dc6ca2aad28ebb2da34c5eec0e561edaf1064a878e13b861c31e55d323a60cad",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c76ba4a473178332ef16898cc10c5020d5e32156d2849afe4f66c501f0a80d36",
"outputTransactionId": "5627d878c70e236551d2a176314e005a6c35509987ae5c54f34430221530b0f6",
"outputIndex": 0,
"outputGlobalIndex": 16507423,
"outputCreatedAt": 745469,
"outputSettledAt": 745471,
"ergoTree": "103404020e205a50f4348840095fed4e84f94c6f1c0b540cc41d5c4dfc8b1f483e9c72315ecd040004060400040604080400040204040400040004000e20011d3364de07e5a26f0c4eef0852cddb387039a921b7154ef3cab22c6eda887f040404020e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf040500050005c8010500050204000400040004020402040204020580897a010104000400040205000404040404060408040c040a040e040c041004020502040004000402040a04000400d804d601b2a5730000d602c27201d60393cb72027301d604e4c6a7060e957203d812d605b2db6501fe730200d606b2a5730300d607db63087206d608b2db63087201730400d6098c720802d60ae4c6a70411d60b9d9c7209b2720a730500b2720a730600d60cc5a7d60db2a5730700d60edb6308a7d60fdb6308720dd610e4c6a7050ed611e4c6a7070ed612e4c672010411d613b27212730800d614b2a5730900d615b2db63087214730a00d616b27207730b00d196830601938cb2db63087205730c0001730d929a9593b17207730ed801d617b27207730f0095938c72170173108c721702731173129d9cc172067313e4c6720504059591720b7314720b73159683090193720cc5b2a473160093c1a7c1720d93c2a7c2720d93b2720e731700b2720f7318009593b1720f7319938cb2720e731a00027209938cb2720f731b0002998cb2720e731c0002720993720ae4c6720d0411937210e4c6720d050e937204e4c6720d060e937211e4c6720d070e96830d0193c17201731d7203938c7208017210731e93b27212731f00b2720a732000937213b2720a732100917213732293b27212732300b2720a73240093b27212732500720993b27212732600b2720a73270093b27212732800b2720a73290093b27212732a00b2720a732b0093e4c67201050e720c9683030193c27214e4c6b2a4732c00050e938c721501720c938c721502732d9683030193c272067204938c7216017211938c7216027209d802d605db6308a7d606b2a5732e00d196830601937202720493c17201c1a793b2db63087201732f00b2720573300092db6903db6503feb2e4c6a7041173310093c27206c2a793b2db63087206733200b27205733300",
"ergoTreeConstants": "0: 1\n1: Coll(90,80,-12,52,-120,64,9,95,-19,78,-124,-7,76,111,28,11,84,12,-60,29,92,77,-4,-117,31,72,62,-100,114,49,94,-51)\n2: 0\n3: 3\n4: 0\n5: 3\n6: 4\n7: 0\n8: 1\n9: 2\n10: 0\n11: 0\n12: 0\n13: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n14: 2\n15: 1\n16: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n17: 0\n18: 0\n19: 100\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 1\n26: 1\n27: 1\n28: 1\n29: 1000000\n30: true\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: 2\n37: 3\n38: 4\n39: 6\n40: 5\n41: 7\n42: 6\n43: 8\n44: 1\n45: 1\n46: 0\n47: 0\n48: 1\n49: 5\n50: 0\n51: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.propositionBytes\n val bool3 = blake2b256(coll2) == placeholder[Coll[Byte]](1)\n val coll4 = SELF.R6[Coll[Byte]].get\n if (bool3) {(\n val box5 = CONTEXT.dataInputs(placeholder[Int](2))\n val box6 = OUTPUTS(placeholder[Int](3))\n val coll7 = box6.tokens\n val tuple8 = box1.tokens(placeholder[Int](4))\n val l9 = tuple8._2\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = l9 * coll10(placeholder[Int](5)) / coll10(placeholder[Int](6))\n val coll12 = SELF.id\n val box13 = OUTPUTS(placeholder[Int](7))\n val coll14 = SELF.tokens\n val coll15 = box13.tokens\n val coll16 = SELF.R5[Coll[Byte]].get\n val coll17 = SELF.R7[Coll[Byte]].get\n val coll18 = box1.R4[Coll[Long]].get\n val l19 = coll18(placeholder[Int](8))\n val box20 = OUTPUTS(placeholder[Int](9))\n val tuple21 = box20.tokens(placeholder[Int](10))\n val tuple22 = coll7(placeholder[Int](11))\n sigmaProp(allOf(Coll[Boolean](box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13), if (coll7.size == placeholder[Int](14)) {(\n val tuple23 = coll7(placeholder[Int](15))\n if (tuple23._1 == placeholder[Coll[Byte]](16)) { tuple23._2 } else { placeholder[Long](17) }\n )} else { placeholder[Long](18) } + box6.value * placeholder[Long](19) / box5.R4[Long].get >= if (l11 > placeholder[Long](20)) { l11 } else { placeholder[Long](21) }, allOf(Coll[Boolean](coll12 == INPUTS(placeholder[Int](22)).id, SELF.value == box13.value, SELF.propositionBytes == box13.propositionBytes, coll14(placeholder[Int](23)) == coll15(placeholder[Int](24)), if (coll15.size == placeholder[Int](25)) { coll14(placeholder[Int](26))._2 == l9 } else { coll15(placeholder[Int](27))._2 == coll14(placeholder[Int](28))._2 - l9 }, coll10 == box13.R4[Coll[Long]].get, coll16 == box13.R5[Coll[Byte]].get, coll4 == box13.R6[Coll[Byte]].get, coll17 == box13.R7[Coll[Byte]].get)), allOf(Coll[Boolean](box1.value == placeholder[Long](29), bool3, tuple8._1 == coll16, placeholder[Boolean](30), coll18(placeholder[Int](31)) == coll10(placeholder[Int](32)), l19 == coll10(placeholder[Int](33)), l19 > placeholder[Long](34), coll18(placeholder[Int](35)) == coll10(placeholder[Int](36)), coll18(placeholder[Int](37)) == l9, coll18(placeholder[Int](38)) == coll10(placeholder[Int](39)), coll18(placeholder[Int](40)) == coll10(placeholder[Int](41)), coll18(placeholder[Int](42)) == coll10(placeholder[Int](43)), box1.R5[Coll[Byte]].get == coll12)), allOf(Coll[Boolean](box20.propositionBytes == INPUTS(placeholder[Int](44)).R5[Coll[Byte]].get, tuple21._1 == coll12, tuple21._2 == placeholder[Long](45))), allOf(Coll[Boolean](box6.propositionBytes == coll4, tuple22._1 == coll17, tuple22._2 == l9)))))\n )} else {(\n val coll5 = SELF.tokens\n val box6 = OUTPUTS(placeholder[Int](46))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2 == coll4, box1.value == SELF.value, box1.tokens(placeholder[Int](47)) == coll5(placeholder[Int](48)), CONTEXT.preHeader.timestamp >= SELF.R4[\n Coll[Long]\n ].get(placeholder[Int](49)), box6.propositionBytes == SELF.propositionBytes, box6.tokens(placeholder[Int](50)) == coll5(placeholder[Int](51))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "9973e8cdd9d98a420b7f51fe0cffaef54f362d617c13eb3d3bd43c6d31b2b7fd",
"index": 0,
"amount": 1,
"name": "Ergo-Lend ErgoPad Staker",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 1,
"amount": 11434422995,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110980f0b252da058088bdfa9e6006c0b80280f8efcc9f6000c80180f8efcc9f60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1653422400000,3,20000,1653508800000,0,100,1653508800000]"
},
"R5": {
"serializedValue": "0e20007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"sigmaType": "Coll[SByte]",
"renderedValue": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283"
},
"R6": {
"serializedValue": "0e240008cd021c8a17d2dcfec7233d63301cb32bb518112b74acfb275b26ab2200d7b441d581",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd021c8a17d2dcfec7233d63301cb32bb518112b74acfb275b26ab2200d7b441d581"
},
"R7": {
"serializedValue": "0e204d283a86c277866290227d4a02e47d9ce3dca64bf49c4f92384d352e37844420",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d283a86c277866290227d4a02e47d9ce3dca64bf49c4f92384d352e37844420"
}
}
},
{
"boxId": "da37f512ad1ed654c62af94842a40c5c53b48edb0c2e0741cd6e68e539c0f346",
"value": 8186166648,
"index": 1,
"spendingProof": null,
"outputBlockId": "6206ee50d6b8c93d35eb2448eedadfa881aec3b2fef5fcf0c8d45cc25699de61",
"outputTransactionId": "68319fe1a76c8e3d2b7883326b53ea9a3c086b3a658edba39c0ac750959ac686",
"outputIndex": 0,
"outputGlobalIndex": 16508476,
"outputCreatedAt": 745477,
"outputSettledAt": 745479,
"ergoTree": "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",
"ergoTreeConstants": "0: 6\n1: 4\n2: 5\n3: 0\n4: 0\n5: 10000000\n6: 0\n7: 10000000\n8: 0\n9: 0\n10: 0\n11: 1\n12: 5000000\n13: 0\n14: 2\n15: 2000000\n16: 0\n17: 0\n18: 7000000\n19: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n20: 1\n21: true\n22: 1\n23: 0\n24: false",
"ergoTreeScript": "{if (OUTPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n val box2 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == SELF.R6[Coll[Byte]].get, (box1.value == placeholder[Long](5)) && (\n box1.tokens.size == placeholder[Int](6)\n ), (box2.value == placeholder[Long](7)) && (box2.tokens.size == placeholder[Int](8))\n )\n )\n )\n)} else {(\n val box1 = CONTEXT.dataInputs(placeholder[Int](9))\n val coll2 = box1.tokens\n val coll3 = coll2(placeholder[Int](10))._1\n val box4 = OUTPUTS(placeholder[Int](11))\n val bool5 = (box4.value == placeholder[Long](12)) && (box4.tokens.size == placeholder[Int](13))\n val box6 = OUTPUTS(placeholder[Int](14))\n val bool7 = (box6.value == placeholder[Long](15)) && (box6.tokens.size == placeholder[Int](16))\n val box8 = OUTPUTS(placeholder[Int](17))\n val bool9 = ((box8.value == SELF.value - placeholder[Long](18)) && (box8.tokens == SELF.tokens)) && (box8.propositionBytes == SELF.R5[Coll[Byte]].get)\n if (coll3 == placeholder[Coll[Byte]](19)) { sigmaProp(allOf(Coll[Boolean](box1.R4[Long].get > SELF.R4[Long].get, bool5, bool7, bool9))) } else {\n if (coll3 == SELF.R6[Coll[Byte]].get) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n if (coll2.size == placeholder[Int](20)) { placeholder[Boolean](21) } else {\n coll2(placeholder[Int](22))._2 < SELF.tokens(placeholder[Int](23))._2\n }, bool5, bool7, bool9\n )\n )\n )\n } else { sigmaProp(placeholder[Boolean](24)) }\n }\n)}}",
"address": "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",
"assets": [
{
"tokenId": "4d283a86c277866290227d4a02e47d9ce3dca64bf49c4f92384d352e37844420",
"index": 0,
"amount": 16814965,
"name": "Ergo-Lend ErgoPad Staker whitelist token",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "05f8acdcb402",
"sigmaType": "SLong",
"renderedValue": "323717948"
},
"R5": {
"serializedValue": "0e240008cd0366ac6140371a76ca76535a3256e40dab9544b1ac39009b495db7657c19d70049",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0366ac6140371a76ca76535a3256e40dab9544b1ac39009b495db7657c19d70049"
},
"R6": {
"serializedValue": "0e209973e8cdd9d98a420b7f51fe0cffaef54f362d617c13eb3d3bd43c6d31b2b7fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "9973e8cdd9d98a420b7f51fe0cffaef54f362d617c13eb3d3bd43c6d31b2b7fd"
}
}
}
],
"dataInputs": [
{
"boxId": "97fc3532518450999a4f1300cf41e24edd4181c58c943d4d27645cbc66f91531",
"value": 10325000000,
"index": 0,
"outputBlockId": "a2693ae3a2783eb8c3093c37a2214d7244eff107fe6bbc9a37e73e1f5d421d02",
"outputTransactionId": "033c94b0525033a000c67664b8f01ccfeb592626cc3e5578e88aba106d669348",
"outputIndex": 0,
"ergoTree": "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",
"address": "EfS5abyDe4vKFrJ48K5HnwTqa1ksn238bWFPe84bzVvCGvK1h2B7sgWLETtQuWwzVdBaoRZ1HcyzddrxLcsoM5YEy4UnqcLqMU1MDca1kLw9xbazAM6Awo9y6UVWTkQcS97mYkhkmx2Tewg3JntMgzfLWz5mACiEJEv7potayvk6awmLWS36sJMfXWgnEfNiqTyXNiPzt466cgot3GLcEsYXxKzLXyJ9EfvXpjzC2abTMzVSf1e17BHre4zZvDoAeTqr4igV3ubv2PtJjntvF2ibrDLmwwAyANEhw1yt8C8fCidkf3MAoPE6T53hX3Eb2mp3Xofmtrn4qVgmhNonnV8ekWZWvBTxYiNP8Vu5nc6RMDBv7P1c5rRc3tnDMRh2dUcDD7USyoB9YcvioMfAZGMNfLjWqgYu9Ygw2FokGBPThyWrKQ5nkLJvief1eQJg4wZXKdXWAR7VxwNftdZjPCHcmwn6ByRHZo9kb4Emv3rjfZE",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05e28cd8b002",
"sigmaType": "SLong",
"renderedValue": "319488817"
},
"R5": {
"serializedValue": "0492805b",
"sigmaType": "SInt",
"renderedValue": "745481"
}
}
}
],
"outputs": [
{
"boxId": "f3c0679e481529eb8a895dbd524432d4c847b0d7cc1fdbd5aeba1202691eae35",
"transactionId": "f07bd5377a07d9a9effdfb8f1746e0e09ceee4bb537baf97caad59ae5dc3c969",
"blockId": "fef7cc2922ccb1a33efd09b8f3d4bcd59c3018d71a1b4b9a26357c8a3f9d8471",
"value": 1000000,
"index": 0,
"globalIndex": 16508510,
"creationHeight": 745478,
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"assets": [
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"name": "Ergo-Lend ErgoPad Staker",
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"sigmaType": "Coll[SLong]",
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283"
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"spentTransactionId": "4083907e188a5c8bf9a0bd353bd28306869bc2009e5d30488613a917b1934b0b",
"mainChain": true
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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}",
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"index": 0,
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"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
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"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1653422400000,16814965,0,100,1653508800000]"
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"creationHeight": 745478,
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"ergoTree": "0008cd0366ac6140371a76ca76535a3256e40dab9544b1ac39009b495db7657c19d70049",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66ac61,6e6801,...)))}",
"address": "9hF2LwSzhnFgwusWgbp1ZUiuxvJDHjD12ooVAnEUzC5B3XZwBzK",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1c8a17,c4f321,...)))}",
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"ergoTreeConstants": "",
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{
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"transactionId": "f07bd5377a07d9a9effdfb8f1746e0e09ceee4bb537baf97caad59ae5dc3c969",
"blockId": "fef7cc2922ccb1a33efd09b8f3d4bcd59c3018d71a1b4b9a26357c8a3f9d8471",
"value": 10000000,
"index": 5,
"globalIndex": 16508515,
"creationHeight": 745478,
"settlementHeight": 745480,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ef2770e858523cda3bde383bc9746da29125a1fce331bc4b784fa9499bf7de2c",
"mainChain": true
}
],
"size": 2132,
"isUnconfirmed": false
}