Transaction
ID: 16be3e3dd4...23e9
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,048.06
Spent
Address:
Output transaction:
Settlement height:
Value:
5.38 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
863.78
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:
5.38 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 813,259
Total coins transferred: 5.39 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001083 ERG
Raw Transaction Data
{
"id": "16be3e3dd48809fa201c9ff65cc0e254df56961867a9d7f508e36ea7a8d123e9",
"blockId": "f3ed55fa83a1752a43459872bc7efaf222af4de952ed85eed90531a108bdab3c",
"inclusionHeight": 958014,
"timestamp": 1678537316149,
"index": 17,
"globalIndex": 4881365,
"numConfirmations": 813259,
"inputs": [
{
"boxId": "f9a375327458a4a05f23841df9b8895694b0e2b5d6b71177255f428cbc1e980c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "88b51e713d5a056ceab8d9e03dd45cefff2f56875daabf85471f60cbf2e20937",
"outputTransactionId": "66346fb8d966bf133ce8d8972f0e60ee3903c6f6e353acb0ad850b809509524f",
"outputIndex": 0,
"outputGlobalIndex": 26836267,
"outputCreatedAt": 946536,
"outputSettledAt": 946538,
"ergoTree": "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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}",
"address": "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",
"assets": [
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 0,
"amount": 10480561,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110780f0b252da058088bdfa9e60cac28b2800c80180f8efcc9f60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1653422400000,42037413,0,100,1653508800000]"
},
"R5": {
"serializedValue": "0e2062fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c",
"sigmaType": "Coll[SByte]",
"renderedValue": "62fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c"
}
}
},
{
"boxId": "651ad4867ab5f0c0b9f80777ba82e520245cd4b4a50c2adb3786aeb81431ae75",
"value": 5384480000,
"index": 1,
"spendingProof": "26ecc3851c7e3fc7e6d729c103bdf14c57ef4fc9824c1a7dfab369b1cac8c0fd1b738e39466d6c5d5b6a4625194b4d1a02f3e4e012bc11f3",
"outputBlockId": "9b645e59b2000fa1929bd827cb8c32f0ff5c1a0158ff7221403e488f2fae0ccf",
"outputTransactionId": "57c4ddde7c75c3148d8367bb4ad5363b7fa530ea6c86d0c0882efd8e19f9e70d",
"outputIndex": 1,
"outputGlobalIndex": 26836313,
"outputCreatedAt": 946540,
"outputSettledAt": 946542,
"ergoTree": "0008cd03467e5e6f90ea6d87a624eec11143c2d97fee4cca6460ad21386edb96de92de8d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(467e5e,4b9b4f,...)))}",
"address": "9gzrMdjXLfrsiqcv7kCMWmS6hX3iVyMLNnW7YAe53Jv2uqohuju",
"assets": [
{
"tokenId": "bc632bf280e1418c8e270059f388f54db4e3aeac9ab27405b149ff1702f8c51f",
"index": 0,
"amount": 1,
"name": "Ergo-Lend Seed Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "62fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c",
"index": 1,
"amount": 1,
"name": "Ergo-Lend ErgoPad Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c1824d0bc853139821d51227869d10b835b996425740f22132d0065204c93bea",
"index": 2,
"amount": 1,
"name": "ERGO TOYS - APE ARMY #61",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "10bd143244437a0372b00b76ecc4370d61f14e5ed66b9cf9906675b87023dddf",
"transactionId": "16be3e3dd48809fa201c9ff65cc0e254df56961867a9d7f508e36ea7a8d123e9",
"blockId": "f3ed55fa83a1752a43459872bc7efaf222af4de952ed85eed90531a108bdab3c",
"value": 1000000,
"index": 0,
"globalIndex": 27306513,
"creationHeight": 958012,
"settlementHeight": 958014,
"ergoTree": "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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}",
"address": "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",
"assets": [
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 0,
"amount": 8637825,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110780f0b252da058088bdfa9e60cac28b2800c80180f8efcc9f60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,365,1653422400000,42037413,0,100,1653508800000]"
},
"R5": {
"serializedValue": "0e2062fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c",
"sigmaType": "Coll[SByte]",
"renderedValue": "62fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c"
}
},
"spentTransactionId": "5f7a10507839528b18530229690051bea8835794f8fc81d7c4b536c28fd20dff",
"mainChain": true
},
{
"boxId": "60f1edfdf9fe992f89d329bf30649ea8e85f441d90b1061c0914bfded8d34f08",
"transactionId": "16be3e3dd48809fa201c9ff65cc0e254df56961867a9d7f508e36ea7a8d123e9",
"blockId": "f3ed55fa83a1752a43459872bc7efaf222af4de952ed85eed90531a108bdab3c",
"value": 1000000,
"index": 1,
"globalIndex": 27306514,
"creationHeight": 958012,
"settlementHeight": 958014,
"ergoTree": "0008cd03467e5e6f90ea6d87a624eec11143c2d97fee4cca6460ad21386edb96de92de8d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(467e5e,4b9b4f,...)))}",
"address": "9gzrMdjXLfrsiqcv7kCMWmS6hX3iVyMLNnW7YAe53Jv2uqohuju",
"assets": [
{
"tokenId": "62fce9ae6792f09d277f2f096f3c44ef2445100a88a45f5c5a71364e74bc367c",
"index": 0,
"amount": 1,
"name": "Ergo-Lend ErgoPad Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 1,
"amount": 1842736,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1ccc031cc55fa6f135b0571683f7a28b60d6eaf08a9f875de24694e50477055a",
"mainChain": true
},
{
"boxId": "188289f6d01b599b993d80f7c97465e30f72def6979d249a573125f42a26331e",
"transactionId": "16be3e3dd48809fa201c9ff65cc0e254df56961867a9d7f508e36ea7a8d123e9",
"blockId": "f3ed55fa83a1752a43459872bc7efaf222af4de952ed85eed90531a108bdab3c",
"value": 1000000,
"index": 2,
"globalIndex": 27306515,
"creationHeight": 958012,
"settlementHeight": 958014,
"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": "9e00e5723f838e2ef3e4d91c1ad48642248c147a1b094ce746847935e1af46d5",
"mainChain": true
},
{
"boxId": "d2a0de4cbaa3bf0c2254617d17d8a5bf30bb3dbc9389c01f9b505ec56f5b55ef",
"transactionId": "16be3e3dd48809fa201c9ff65cc0e254df56961867a9d7f508e36ea7a8d123e9",
"blockId": "f3ed55fa83a1752a43459872bc7efaf222af4de952ed85eed90531a108bdab3c",
"value": 5382480000,
"index": 3,
"globalIndex": 27306516,
"creationHeight": 958012,
"settlementHeight": 958014,
"ergoTree": "0008cd03467e5e6f90ea6d87a624eec11143c2d97fee4cca6460ad21386edb96de92de8d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(467e5e,4b9b4f,...)))}",
"address": "9gzrMdjXLfrsiqcv7kCMWmS6hX3iVyMLNnW7YAe53Jv2uqohuju",
"assets": [
{
"tokenId": "c1824d0bc853139821d51227869d10b835b996425740f22132d0065204c93bea",
"index": 0,
"amount": 1,
"name": "ERGO TOYS - APE ARMY #61",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bc632bf280e1418c8e270059f388f54db4e3aeac9ab27405b149ff1702f8c51f",
"index": 1,
"amount": 1,
"name": "Ergo-Lend Seed Vesting Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a9b9daf6f05f31664d43983cc66357ca1668d3efef8207f6399a8bcd1753a31d",
"mainChain": true
}
],
"size": 923,
"isUnconfirmed": false
}