Transaction
ID: 7ec3bdffb0...82fa
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001081783 ERG
Tokens:
15.60
Spent
Address:
Output transaction:
Settlement height:
Value:
216.96 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
14.84
Spent
Address:
Spent in transaction:
Settlement height:
Value:
216.86 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 355,183
Total coins transferred: 216.96 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000585 ERG
Raw Transaction Data
{
"id": "7ec3bdffb0b9da6cd5b8d04ffb69d33480208add2ec810f86cdd9709390682fa",
"blockId": "c3669757ad1f8690a7453dad3551a762e87a54e2676f4fdd573af99fcf843b0c",
"inclusionHeight": 1418382,
"timestamp": 1734347462508,
"index": 4,
"globalIndex": 8269179,
"numConfirmations": 355183,
"inputs": [
{
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"value": 1081783,
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"outputBlockId": "c3fe3fd34c0c416886e1d4d43091e07463231b7b7bbf5fb9f62394ca3a3f995c",
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"outputIndex": 1,
"outputGlobalIndex": 44853352,
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"ergoTree": "0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a079a0,81a75c,...)))}",
"address": "9fjjdrvFoXE7tmqYJTu3FV3oeGU2tf73P4g6smSYP2rqxfHLW8t",
"assets": [
{
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],
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},
{
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"assets": [
{
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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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{
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{
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{
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{
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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "687cdee9dea2ce6f56c41693c6fad618cb138ab0887a4ee6019282a737891daa",
"transactionId": "7ec3bdffb0b9da6cd5b8d04ffb69d33480208add2ec810f86cdd9709390682fa",
"blockId": "c3669757ad1f8690a7453dad3551a762e87a54e2676f4fdd573af99fcf843b0c",
"value": 100000000,
"index": 0,
"globalIndex": 44853480,
"creationHeight": 1418377,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 0\n39: 1\n40: 2\n41: 1\n42: true\n43: false\n44: 0\n45: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = opt1.get\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n val opt4 = SELF.R5[Coll[Long]]\n val opt5 = SELF.R6[Coll[Long]]\n val opt6 = SELF.R7[Coll[Byte]]\n val coll7 = SELF.R8[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1))\n val l9 = coll7(placeholder[Int](2))\n val l10 = coll7(placeholder[Int](3))\n val l11 = CONTEXT.preHeader.timestamp\n val coll12 = opt4.get\n val coll13 = SELF.tokens\n val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n val l15 = box14.R6[Long].get\n val l16 = SELF.value\n val coll17 = Coll[Byte]()\n val coll18 = opt6.get\n val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n val coll20 = tuple19._1\n val i21 = coll20.size\n val bool22 = i21 == placeholder[Int](6)\n val box23 = INPUTS(placeholder[Int](7))\n val coll24 = box23.id\n val coll25 = SELF.id\n val bool26 = coll24 == coll25\n val i27 = placeholder[Int](8)\n val i28 = placeholder[Int](9)\n val i29 = if (bool26) { i27 } else { i28 }\n val i30 = i29 + placeholder[Int](10)\n val box31 = OUTPUTS.getOrElse(i30, SELF)\n val tuple32 = \n val l32 = box31.value\n val tuple33 = (coll17, l32)\n tuple33\n \n val tuple33 = \n val coll33 = box31.tokens\n val tuple34 = (coll20, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n tuple35\n \n val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n val l35 = tuple34._2\n val coll36 = opt5.get\n val l37 = coll36(placeholder[Int](13))\n val i38 = i29 + placeholder[Int](14)\n val box39 = OUTPUTS.getOrElse(i38, SELF)\n val tuple40 = \n val l40 = box39.value\n val tuple41 = (coll17, l40)\n tuple41\n \n val tuple41 = \n val coll41 = box39.tokens\n val tuple42 = (coll20, placeholder[Long](15))\n val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n tuple43\n \n val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n val l43 = tuple42._2\n val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll45 = box14.R4[Coll[Int]].get\n val coll46 = tuple42._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](21)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n val box47 = OUTPUTS(placeholder[Int](24))\n allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n )} else {(\n val box47 = box23\n val coll48 = coll24\n val coll49 = coll25\n val bool50 = bool26\n val i51 = i27\n val i52 = i28\n val i53 = i29\n val box54 = OUTPUTS.getOrElse(i53, SELF)\n val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n val l56 = tuple55._2\n val coll57 = coll20\n val i58 = i21\n val bool59 = bool22\n val i60 = i30\n val box61 = box31\n val tuple62 = tuple32\n val tuple63 = tuple33\n val tuple64 = tuple34\n val l65 = tuple19._2\n val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i70 = i38\n val box71 = box39\n val tuple72 = tuple40\n val tuple73 = tuple41\n val tuple74 = tuple42\n val coll75 = box61.propositionBytes\n val l76 = l9 + l56\n val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean]((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n val l78 = l35\n l65 - l78 - l15 * placeholder[Long](35)\n )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n val coll78 = coll46\n val l79 = l43\n ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](38)) == l76)) && (coll77(placeholder[Int](39)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](40)) == l8 + placeholder[Long](41))) && if (coll75 == coll2) { placeholder[Boolean](42) } else { tuple64._1 == coll57 }))\n )} } else { placeholder[Boolean](43) }) && sigmaProp(\n (box14.tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n )\n}",
"address": "4YuSFyiZuLghds5s6MEiG6XGYJSkw7FwxdheP7Njxbempb9VbD6wjs2SWw7uYbeWW6LGbDkKQ8hgRPMbs9yajwr6wEaeGSYUxDtGzxfVVhdz9wyQTJnLh6BJbXSgJdTLQ3tugKxX6XcHdDafqUUnKUWxWvWKzJao7TFTNjM1PnowwcRC4zEnbrJscsE2aQvwW2A66WMYt5TgCPmuAYsimsrBMtAey9iWrGp7kJghqfm7nVLWB8ehGdaP87Ki8NjSdJW82jLeNMvXP5qp2dBewyyVzVwydLjjMkH2fsTknTiVAhaVugQXspRT1LqAPoD2NURQEw8xj8v72yjmKesVZW8ZzG1FCTg7ZRk8yWen8Tw5NskdcmuzPL6WBJ3Xmoqb7YtZE9JkJLqsJoiL5mAjYLuJhjzeCAAsU1xdr5vhnqVt7eZrETnFewo9Xm619dgD1atst83iWLQFm3zsYmKcsUf9uAFAEXbkDw1MCppWLQK5cVZHs1LtCZiizGfBShMaxLN4h5PnNKiBL81PmC7cJiwzNHF3EHYro99jzA1ZRv6dgbULQSzRwhvHBrr9hLFNnuwGq3ghrHq94Cjomowoe9ggKojUzEQ8gLHnjxcFcKZxJNu37jyKKphn71qUkbXihrqimj55AZgJAVuarrV5hG9Tg7xgRAXCghCqVqRdiFmboGUu9sCsqiVcMzAqvdm7aQGJqSATZieKm6C5Edjr1JfGdYA1JR2jE1wvk18Ly7Gbb6t2A5WresrTB6hxMN6U5Vgcy769cMU4AubC5wHd9BDrRsXvUx1gkQfHdWEXrrhPg4vHw8mezhf1CcsJP6TPeBj91KRUwuPhrWY5RikMiHCYc5GE7GJVhrLYxTXoWcvHCDjdxKiuw3mEbqb5XVUfi8SZaUKLe6ec6aXzLoipPtX2ksXEPkzq2BLaFQk9Tm6PWJrdiVpuua2QXaEbThbebjw1x8K8Xx8ERbHCUieUd63taRNFLgHiGVBnrCT79kkNYJYDhWgqE6cRUZzp3R3WVuF9JUQRAvSDuD2TVe7HFPtBgnhxuGq4oi9j1d7jb8swcisgnxeKybxADgqvHq8sv5vQMqeB6WiyHRVnEJFp1oFDmWJ14qN1ZoZJtjAguLDAbpy5R1XfQGeSTLy9xmkW7jre3TnXP4xHjbeMT2UZnPsZYSpqUy1LWXRpbyMX2qLJYUbtG94MbunrYynvEAWXDwEMMgPzs2aELhKeK9vZnPQiU48EV9v4Y3fECbDGF4j2pup1dmHCQHcMYw3ETXkY2LfocDtDVmKx97C79AcSq4bydgmBC5mF4CTWBHKBDSUYKAH2xAFfHGWM8TzqrPJFLEai5Fz6NuY6BTdgExFZzBwdVw8enGBV9Q4JNGXivvcZZKMXRGEdJTfdJYZRPp8u7Dhbb9y97DwrMcA4b8UyTqxZjJtaXtLor8neaNSfJxoonT5DMnimX939srosaHv7qGFapPcGrmfbNbqNjXHAUGySdMw9q7HsMveoedsvteL64fVGSQXjdSf4APSC312nhQfExV63ZVYa1AF8bxkEXosa9utwXPHXf1cuWncz65tS85M6VE7xeV2LJrXAWKRLqUxypMMi5fWPJ9HuqkS35c",
"assets": [
{
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"index": 0,
"amount": 1484,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
"serializedValue": "110290c802fc16",
"sigmaType": "Coll[SLong]",
"renderedValue": "[21000,1470]"
},
"R8": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "0e207a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0"
},
"R4": {
"serializedValue": "0e240008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650"
}
},
"spentTransactionId": "1c682bc61347a2cc257da067f1c5fdc2a4351a4759fa7546a542dfc7c77b2266",
"mainChain": true
},
{
"boxId": "412283ea0af1d9d297d00af52e21b7592c80b8a2487861598dcaf3c59c379481",
"transactionId": "7ec3bdffb0b9da6cd5b8d04ffb69d33480208add2ec810f86cdd9709390682fa",
"blockId": "c3669757ad1f8690a7453dad3551a762e87a54e2676f4fdd573af99fcf843b0c",
"value": 216857102032,
"index": 1,
"globalIndex": 44853481,
"creationHeight": 1418377,
"settlementHeight": 1418382,
"ergoTree": "0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a079a0,81a75c,...)))}",
"address": "9fjjdrvFoXE7tmqYJTu3FV3oeGU2tf73P4g6smSYP2rqxfHLW8t",
"assets": [
{
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"decimals": 2,
"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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"type": "EIP-004"
},
{
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},
{
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