Transaction
ID: 650379a1bd...7099
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.2806 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.18 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0108 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.45 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 773,436
Total coins transferred: 4.46 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000349 ERG
Raw Transaction Data
{
"id": "650379a1bd56ba92c8bf9fb93cb681379e3e317e49ccedd773db7e81d5947099",
"blockId": "68ccff29f18679cd3364aeabffe60cbffd7dae3111ae7976852617eec7bf850a",
"inclusionHeight": 993497,
"timestamp": 1682842356243,
"index": 7,
"globalIndex": 5124106,
"numConfirmations": 773436,
"inputs": [
{
"boxId": "90b1ebe95840c75da3388c0b971f0b9c1906c5da355134347b2b159c6c2daf8a",
"value": 280600000,
"index": 0,
"spendingProof": "8cf4cfa6ef938889a39d6e745130fcda7299e86c737cacbdd7709aea4644c7f804a6401ececdcdf36b4de118d12b762fad7eb1d26b31d0e1",
"outputBlockId": "1a45912d5a8d183a9b603c77ca6cfbacf9aeb4bd96ff2e33c1204802d9b55549",
"outputTransactionId": "9a44c02198aeac4e2f739c43a0ec18a848bb4579d3e2589e2b7ffa479c4e975d",
"outputIndex": 1,
"outputGlobalIndex": 28575770,
"outputCreatedAt": 990158,
"outputSettledAt": 990160,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
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"index": 0,
"amount": 10000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
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},
{
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"outputBlockId": "2c472f898246cffaeaf9fc5a7ed08bafef4ad0cfa5056c2ceba1a946fbb08f5e",
"outputTransactionId": "45f41082f8d4e008312293c9f7faf4918e63dfd2e82b306aaba3381199dee1b6",
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"outputCreatedAt": 993489,
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
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"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
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"name": "COMET",
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],
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},
{
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"outputBlockId": "68ccff29f18679cd3364aeabffe60cbffd7dae3111ae7976852617eec7bf850a",
"outputTransactionId": "e591bd6334cf5829a2056a182a4e3edae489a55e6ff6981f2e09a34af977fab6",
"outputIndex": 1,
"outputGlobalIndex": 28715067,
"outputCreatedAt": 993495,
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"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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{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 6,
"amount": 298,
"name": "Spicy Oatmeal",
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{
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{
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"index": 8,
"amount": 9223372036854776000,
"name": "Spectrum YF staking bundle",
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"type": "EIP-004"
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{
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"index": 9,
"amount": 9223372036854776000,
"name": "tSPF_706fb118_f3ad0c62_LP_YF",
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{
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"index": 10,
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"name": "tSPF_706fb118_c07bde48_LP_YF",
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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": "88ca9442872ce8384ef667a6af100307133a216143d804147e422ab4fec46371",
"transactionId": "650379a1bd56ba92c8bf9fb93cb681379e3e317e49ccedd773db7e81d5947099",
"blockId": "68ccff29f18679cd3364aeabffe60cbffd7dae3111ae7976852617eec7bf850a",
"value": 10800000,
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"globalIndex": 28715075,
"creationHeight": 993495,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 6\n6: 5\n7: 1000000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 3\n17: 1\n18: 1\n19: 0\n20: 86400000\n21: 1\n22: 0\n23: 1\n24: 3\n25: 2\n26: 1\n27: 2\n28: 1\n29: 3\n30: 2000000\n31: 1\n32: 1\n33: 0\n34: false\n35: 2\n36: 4\n37: 1\n38: 0\n39: 2\n40: 0\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 1\n47: 3\n48: 0\n49: false\n50: 1\n51: 3\n52: 1000000\n53: 1\n54: 1000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 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 coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val l16 = SELF.value\n val coll17 = box7.R8[Coll[Long]].get\n val l18 = coll17(placeholder[Int](5))\n val l19 = coll17(placeholder[Int](6))\n val l20 = box13.value\n val l21 = l18 + placeholder[Long](7)\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l20 >= l21) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll17(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll17(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll17(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val l36 = CONTEXT.preHeader.timestamp\n val l37 = coll17(placeholder[Int](16))\n val bool38 = l36 > l37\n val bool39 = bool6 && (l30 == placeholder[Long](17))\n val bool40 = if (coll17(placeholder[Int](18)) == placeholder[Long](19)) { (bool39 && bool38) && (l36 < l37 + placeholder[Long](20)) } else {\n bool39 && (l36 <= l37)\n }\n val tuple41 = coll1.getOrElse(placeholder[Int](21), tuple2)\n val l42 = tuple41._2\n val l43 = tuple27._2\n val tuple44 = coll35.getOrElse(placeholder[Int](22), tuple2)\n val coll45 = tuple44._1\n val l46 = tuple44._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if ((bool10 && (INPUTS.size == placeholder[Int](23))) && (i11 == placeholder[Int](24))) {\n (\n (\n (\n (((bool23 && (l20 == l16 - l18 - l19)) && (l20 >= placeholder[Long](25) * l21)) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](26))) && (\n coll24.size == placeholder[Int](27)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](28))) && (\n l32 == l16 - placeholder[Long](29) * l18 - l19 - placeholder[Long](30) / l33 * l31 + placeholder[Long](31)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](32)))\n ) && (coll35.size == placeholder[Int](33))\n ) && (box34.value >= l19)\n } else { placeholder[Boolean](34) } || if ((bool40 && (INPUTS.size == placeholder[Int](35))) && (i11 == placeholder[Int](36))) {(\n val l47 = if (bool29) { l42 - l43 } else { l16 - l20 }\n val l48 = if (bool29) { l47 / l31 } else { l47 / l33 * l31 }\n val tuple49 = INPUTS(placeholder[Int](37)).tokens.getOrElse(placeholder[Int](38), tuple2)\n val box50 = OUTPUTS(placeholder[Int](39))\n val coll51 = box50.tokens\n val tuple52 = coll51.getOrElse(placeholder[Int](40), tuple2)\n (\n (\n ((l48 == if (tuple49._1 == box7.id) { tuple49._2 } else { placeholder[Long](41) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l43 == placeholder[Long](42)))) && (coll45 == coll22)) && (l46 == l47)) && (\n coll35.size == placeholder[Int](43)\n )\n ) && (box50.value >= l48 * l33 * l31)\n ) && (coll51.size == placeholder[Int](44))\n ) || (\n (((((!bool29) && (box34.value >= l47)) && (coll35.size == placeholder[Int](45))) && (tuple52._1 == coll22)) && (tuple52._2 >= l48 * l31)) && (\n coll51.size == placeholder[Int](46)\n )\n )\n )\n ) && (box50.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](47)).tokens.size == placeholder[Int](48))\n )} else { placeholder[Boolean](49) }\n ) || if (((bool6 && (!bool39)) && (INPUTS.size == placeholder[Int](50))) && (i11 == placeholder[Int](51))) {\n (\n (\n (\n (\n (((((l20 == l16 - l18 - placeholder[Long](52)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](53))) && (tuple27 == tuple41)) && (\n box34.propositionBytes == coll15\n )\n ) && (box34.value == placeholder[Long](54))\n ) && (coll35.size == placeholder[Int](55))\n ) && (coll45 == coll4)\n ) && (l46 == l30 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool38 && (!bool40)) || if (bool29) { bool39 && (l42 == placeholder[Long](58)) } else { bool39 && (l16 == l21) }) {\n (((bool12 && (coll14 == coll15)) && (l20 >= l16 - l18)) && (coll26 == tuple41._1)) && (l32 == l42)\n } else { placeholder[Boolean](59) }\n )\n}",
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"assets": [
{
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{
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
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