Transaction
ID: e2a1b170fe...ffe3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.85 ERG
Tokens:
9,599.98
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
10.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.95 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 858,145
Total coins transferred: 1.95 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000397 ERG
Raw Transaction Data
{
"id": "e2a1b170fed7948f75dcbc73ae9aa0df7e44d53e2ad21aeb54879d42c96fffe3",
"blockId": "e4ea1320693d999d5079f6425b8b6784378fba8fa5158f3d7be3b17e83049707",
"inclusionHeight": 912523,
"timestamp": 1673023966324,
"index": 5,
"globalIndex": 4573214,
"numConfirmations": 858145,
"inputs": [
{
"boxId": "374b3c61a655385b6d1761ddfba8229e1a69480a05dcd4834d1ddc6fb32bec27",
"value": 100000000,
"index": 0,
"spendingProof": "38fd83dbe4ac0dc26413192277947c7546485008a79c5c4325515c85dde25707d5a1f6a0de2c40b443fc9dd4d1efdaf7f242d7e73fe16f19",
"outputBlockId": "51eaf0809459540d0d4edc4e89a0ac79c53d3f39e0ee24b5a562adeca171a7e6",
"outputTransactionId": "399ae443e4fafe9fe934ea0c1199e3285f86790f31d2213d9e4c211814d196e9",
"outputIndex": 0,
"outputGlobalIndex": 24673896,
"outputCreatedAt": 898060,
"outputSettledAt": 898063,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "0fb736ce56ff5422e03fc79fe00811559092614103988bb27be26717f5b7ab00",
"index": 0,
"amount": 1,
"name": "led1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "203d050f39eaf9d5933c83abc7d0959b950716d19dff5bc33edd915ee135febb",
"value": 1853832500,
"index": 1,
"spendingProof": "e5a98ad692ad65bcf8e52b2eebf1f7c1857e351fb91cb873e32197fed952bc02114efc3821249e6be94470b15ba8e408fdf1507ef30be23c",
"outputBlockId": "0c6616fd12587683bc9881df0b8247bfc05e1de658603b60f8a27f54d9e3d4b2",
"outputTransactionId": "229e97e4a33ed8bd76f93a4a2a726af61d0f25813161d696bfaf03d988ab1e05",
"outputIndex": 1,
"outputGlobalIndex": 25321963,
"outputCreatedAt": 912454,
"outputSettledAt": 912456,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 959998,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0bd4bcbb170f118b9755ebcc0d4a91f1c84221ab7e051f4c5b2a9761b5dadbd9",
"transactionId": "e2a1b170fed7948f75dcbc73ae9aa0df7e44d53e2ad21aeb54879d42c96fffe3",
"blockId": "e4ea1320693d999d5079f6425b8b6784378fba8fa5158f3d7be3b17e83049707",
"value": 4200000,
"index": 0,
"globalIndex": 25323924,
"creationHeight": 912520,
"settlementHeight": 912523,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(119,119,119,-27,5,31,-118,107,-61,8,39,-18,65,-35,57,-32,75,-54,29,-70,53,35,107,-102,38,-76,-108,-32,-70,-56,79,51)\n4: 0\n5: 0\n6: false\n7: 0\n8: 1\n9: 2\n10: 0\n11: 2100000\n12: 1\n13: 100\n14: 1\n15: 1\n16: 1\n17: Coll(48)\n18: Coll(48)\n19: false\n20: 6\n21: 0\n22: 0\n23: 0\n24: 86400000\n25: 2\n26: 1\n27: 3\n28: 86400000\n29: 2\n30: 1\n31: 1\n32: false\n33: 8\n34: 0\n35: 2\n36: 1100000\n37: 2\n38: 0\n39: false\n40: 14400000\n41: 2\n42: 5\n43: 1\n44: 0\n45: 0\n46: 0\n47: 0\n48: 3600000\n49: 1897\n50: 14400000\n51: 3795\n52: 43200000\n53: 6573\n54: 86400000\n55: 9295\n56: 172800000\n57: 13145\n58: 432000000\n59: 20785\n60: 864000000\n61: 29394\n62: 1728000000\n63: 41569\n64: 2592000000\n65: 50912\n66: 3888000000\n67: 62354\n68: 5184000000\n69: 72000\n70: 7776000000\n71: 88182\n72: 12960000000\n73: 113842\n74: 20736000000\n75: 144000\n76: 31536000000\n77: 177584\n78: 47304000000\n79: 217495\n80: 63072000000\n81: 251141\n82: 78840000000\n83: 280785\n84: 94608000000\n85: 307584\n86: 1\n87: 0\n88: 1\n89: 0\n90: 1\n91: 4\n92: 3\n93: 1775840000\n94: 0\n95: 4\n96: 1000\n97: 5\n98: 177584000\n99: 1000000\n100: 1000000\n101: 7\n102: 1000\n103: 0\n104: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n105: 1\n106: 1100000\n107: 1\n108: 2\n109: 2\n110: 2\n111: 0\n112: 3\n113: 3\n114: 3\n115: 0\n116: 4\n117: 1100000\n118: 4\n119: 0\n120: false\n121: 2\n122: 4\n123: 0\n124: 1\n125: 2\n126: 2\n127: 2\n128: 0\n129: 3\n130: 1100000\n131: 3\n132: 0\n133: false\n134: 2\n135: 2\n136: 1100000\n137: 1\n138: 0\n139: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val l4 = tuple3._2\n val tuple5 = coll1.getOrElse(placeholder[Int](2), tuple2)\n val l6 = tuple5._2\n val coll7 = placeholder[Coll[Byte]](3)\n val bool8 = if ((l4 > placeholder[Long](4)) && (l6 > placeholder[Long](5))) {\n ((tuple3._1 == coll7) && (tuple5._1 == SELF.R7[Box].get.id)) && (SELF.propositionBytes == SELF.R7[Box].get.propositionBytes)\n } else { placeholder[Boolean](6) }\n val box9 = if (bool8) { SELF.R7[Box].get } else { SELF }\n val prop10 = box9.R9[SigmaProp].get\n val bool11 = !bool8\n val box12 = OUTPUTS(placeholder[Int](7))\n val coll13 = box12.propositionBytes\n val coll14 = SELF.propositionBytes\n val box15 = OUTPUTS(placeholder[Int](8))\n val coll16 = box9.R8[Coll[Long]].get\n val l17 = coll16(placeholder[Int](9))\n val l18 = CONTEXT.preHeader.timestamp\n val l19 = l17 - l18\n val coll20 = box12.tokens\n val tuple21 = coll20.getOrElse(placeholder[Int](10), tuple2)\n val coll22 = tuple21._1\n val l23 = box12.value\n val bool24 = l23 >= placeholder[Long](11)\n val l25 = tuple21._2\n val l26 = coll16(placeholder[Int](12))\n val l27 = l26 * placeholder[Long](13)\n val tuple28 = coll20.getOrElse(placeholder[Int](14), tuple2)\n val l29 = tuple28._2\n val coll30 = box9.id\n val bool31 = if (coll13 == coll14) {\n (\n (\n (\n ((((bool24 && (coll22 == coll7)) && (l25 >= placeholder[Long](15))) && (tuple28._1 == coll30)) && (l29 >= placeholder[Long](16))) && (\n box12.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get\n )\n ) && (box12.R5[Coll[Byte]].get == placeholder[Coll[Byte]](17))\n ) && (box12.R6[Coll[Byte]].get == placeholder[Coll[Byte]](18))\n ) && (box12.R7[Box].get == box9)\n } else { placeholder[Boolean](19) }\n val coll32 = box9.R5[Coll[Byte]].get\n val coll33 = box15.tokens\n val bool34 = l18 <= l17\n val l35 = SELF.value\n val l36 = coll16(placeholder[Int](20))\n val bool37 = coll16(placeholder[Int](21)) == placeholder[Long](22)\n val tuple38 = coll33.getOrElse(placeholder[Int](23), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val coll41 = prop10.propBytes\n val bool42 = l18 > l17\n val bool43 = if (bool37) { (bool8 && bool42) && (l18 < l17 + placeholder[Long](24)) } else { bool8 && bool34 }\n prop10 && sigmaProp(((bool11 && (OUTPUTS.size == placeholder[Int](25))) && (coll13 != coll14)) && (box15.propositionBytes != coll14)) || sigmaProp(\n (\n (\n if (((bool11 && (INPUTS.size == placeholder[Int](26))) && (OUTPUTS.size == placeholder[Int](27))) && (l19 >= placeholder[Long](28))) {\n (\n (\n (\n (\n (\n bool31 && if ((coll20.size == placeholder[Int](29)) && box12.R7[Box].isDefined) {\n (((bool24 && (coll22 == coll7)) && (l25 == l4)) && (l29 == l4 - placeholder[Long](30) / l27 + placeholder[Long](31))) && (\n box12.R7[Box].get == SELF\n )\n } else { placeholder[Boolean](32) }\n ) && (box15.propositionBytes == coll32)\n ) && (box15.value >= coll16(placeholder[Int](33)))\n ) && (coll33.size == placeholder[Int](34))\n ) && (OUTPUTS(placeholder[Int](35)).value == placeholder[Long](36))\n ) && (OUTPUTS(placeholder[Int](37)).tokens.size == placeholder[Int](38))\n } else { placeholder[Boolean](39) } || if ((\n ((bool34 && (!(bool34 && (l18 > l17 - placeholder[Long](40))))) && (INPUTS.size == placeholder[Int](41))) && (OUTPUTS.size == placeholder[Int](42))\n ) && (CONTEXT.dataInputs.size == placeholder[Int](43))) {(\n val box44 = CONTEXT.dataInputs(placeholder[Int](44))\n val l45 = l6 - l29\n val l46 = box44.R4[Long].get\n val l47 = l46 - l36\n val l48 = max(placeholder[Long](45), l47 * l26)\n val coll49 = Coll[(Long, Long)](\n (placeholder[Long](46), placeholder[Long](47)), (placeholder[Long](48), placeholder[Long](49)), (placeholder[Long](50), placeholder[Long](51)), (\n placeholder[Long](52), placeholder[Long](53)\n ), (placeholder[Long](54), placeholder[Long](55)), (placeholder[Long](56), placeholder[Long](57)), (placeholder[Long](58), placeholder[Long](59)), (\n placeholder[Long](60), placeholder[Long](61)\n ), (placeholder[Long](62), placeholder[Long](63)), (placeholder[Long](64), placeholder[Long](65)), (placeholder[Long](66), placeholder[Long](67)), (\n placeholder[Long](68), placeholder[Long](69)\n ), (placeholder[Long](70), placeholder[Long](71)), (placeholder[Long](72), placeholder[Long](73)), (placeholder[Long](74), placeholder[Long](75)), (\n placeholder[Long](76), placeholder[Long](77)\n ), (placeholder[Long](78), placeholder[Long](79)), (placeholder[Long](80), placeholder[Long](81)), (placeholder[Long](82), placeholder[Long](83)), (\n placeholder[Long](84), placeholder[Long](85)\n )\n )\n val i50 = coll49.map({(tuple50: (Long, Long)) => if (tuple50._1 >= l19) { placeholder[Long](86) } else { placeholder[Long](87) } }).indexOf(\n placeholder[Long](88), placeholder[Int](89)\n )\n val tuple51 = coll49(i50 - placeholder[Int](90))\n val l52 = tuple51._2\n val tuple53 = coll49(i50)\n val l54 = tuple51._1\n val l55 = l52 + tuple53._2 - l52 * l19 - l54 / tuple53._1 - l54\n val l56 = placeholder[Long](91) * coll16(placeholder[Int](92)) * l26 * l36 * l55 / placeholder[Long](93)\n val l57 = max(placeholder[Long](94), l56 - l56 * coll16(placeholder[Int](95)) * max(l47, l36 - l46) / placeholder[Long](96) * l36)\n val l58 = l45 * if (bool37) { l48 + l57 } else { l48 + l57 + l57 * coll16(placeholder[Int](97)) * l55 / placeholder[Long](98) }\n val l59 = max(placeholder[Long](99), l58)\n val l60 = max(placeholder[Long](100), l58 * coll16(placeholder[Int](101)) / placeholder[Long](102))\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box44.tokens(placeholder[Int](103))._1 == placeholder[Coll[Byte]](104)) && bool31) && (l23 == l35)) && (\n box12.R7[Box].get == box9\n )\n ) && (box15.value >= INPUTS(placeholder[Int](105)).value - placeholder[Long](106) - l59 - l60)\n ) && (coll33.size == placeholder[Int](107))\n ) && (coll39 == coll30)\n ) && (l40 == l45)\n ) && (OUTPUTS(placeholder[Int](108)).propositionBytes == coll41)\n ) && (OUTPUTS(placeholder[Int](109)).value >= l59)\n ) && (OUTPUTS(placeholder[Int](110)).tokens.size == placeholder[Int](111))\n ) && (OUTPUTS(placeholder[Int](112)).propositionBytes == coll32)\n ) && (OUTPUTS(placeholder[Int](113)).value >= l60)\n ) && (OUTPUTS(placeholder[Int](114)).tokens.size == placeholder[Int](115))\n ) && (OUTPUTS(placeholder[Int](116)).value == placeholder[Long](117))\n ) && (OUTPUTS(placeholder[Int](118)).tokens.size == placeholder[Int](119))\n )} else { placeholder[Boolean](120) }\n ) || if (((bool43 && (INPUTS.size == placeholder[Int](121))) && (OUTPUTS.size == placeholder[Int](122))) && (\n CONTEXT.dataInputs.size == placeholder[Int](123)\n )) {(\n val l44 = l4 - l25\n (\n (\n (\n (\n ((((bool31 && (l29 == l6)) && (coll39 == coll7)) && (l40 == l44)) && (coll33.size == placeholder[Int](124))) && (\n OUTPUTS(placeholder[Int](125)).propositionBytes == coll41\n )\n ) && (OUTPUTS(placeholder[Int](126)).value >= l44 / l27 * l36 * l26)\n ) && (OUTPUTS(placeholder[Int](127)).tokens.size == placeholder[Int](128))\n ) && (OUTPUTS(placeholder[Int](129)).value == placeholder[Long](130))\n ) && (OUTPUTS(placeholder[Int](131)).tokens.size == placeholder[Int](132))\n )} else { placeholder[Boolean](133) }\n ) || if (((bool42 && (!bool43)) && (coll1.size == placeholder[Int](134))) && (OUTPUTS.size == placeholder[Int](135))) {\n (((((coll13 == coll41) && (l23 == l35 - placeholder[Long](136))) && (coll20.size == placeholder[Int](137))) && (coll22 == coll7)) && (l25 == l4)) && (\n coll33.size == placeholder[Int](138)\n )\n } else { placeholder[Boolean](139) }\n )\n}",
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"assets": [
{
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"index": 0,
"amount": 1001,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R8": {
"serializedValue": "1109020280c0b798b161e807e807d804feac98e1050a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1673049600000,500,500,300,772999999,5,1000000]"
},
"R7": {
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"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"sigmaType": "SSigmaProp",
"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "43414c4c5f66616b655553445f4552475f3737323939393939395f323032332d30312d30375f7065725f31"
}
},
"spentTransactionId": "80cc1d3489af1a5d757d74cdd55eba5057be8b8bb82ddb6558564f58fabe00d5",
"mainChain": true
},
{
"boxId": "c20ca38330b8d5373c69cf2c15aa2f62579efacc95e9cea2ef80ab33a72eadb1",
"transactionId": "e2a1b170fed7948f75dcbc73ae9aa0df7e44d53e2ad21aeb54879d42c96fffe3",
"blockId": "e4ea1320693d999d5079f6425b8b6784378fba8fa5158f3d7be3b17e83049707",
"value": 1948532500,
"index": 1,
"globalIndex": 25323925,
"creationHeight": 912520,
"settlementHeight": 912523,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [
{
"tokenId": "0fb736ce56ff5422e03fc79fe00811559092614103988bb27be26717f5b7ab00",
"index": 0,
"amount": 1,
"name": "led1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 1,
"amount": 958997,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7f45692456b0e57d81406a83cd836e2f9b5a57ae40a8bb4ab699672126f0d41e",
"mainChain": true
},
{
"boxId": "54f9aeecfa29c2d1c4335b673050155a3a88538d6269d20e3c43da14f40b685d",
"transactionId": "e2a1b170fed7948f75dcbc73ae9aa0df7e44d53e2ad21aeb54879d42c96fffe3",
"blockId": "e4ea1320693d999d5079f6425b8b6784378fba8fa5158f3d7be3b17e83049707",
"value": 1100000,
"index": 2,
"globalIndex": 25323926,
"creationHeight": 912520,
"settlementHeight": 912523,
"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": "a93ee1ad05f9fe3082706fc2c940d03264cef32f7fdd0a40800357cba2a85bf1",
"mainChain": true
}
],
"size": 2773,
"isUnconfirmed": false
}