Transaction
ID: 17aec59a45...830d
Inputs (22)
Spent
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
16.41
Spent
Address:
Output transaction:
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Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
6
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
Output transaction:
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Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
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Value:
0.002 ERG
Tokens:
10
Spent
Address:
Output transaction:
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Value:
0.002 ERG
Tokens:
6
Spent
Address:
Output transaction:
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Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
48.03
Outputs (4)
Spent
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 142,018
Total coins transferred: 0.142 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000767 ERG
Raw Transaction Data
{
"id": "17aec59a455db63a29bb100e454bfcef0feafb6faa36089ea7b6870a9a40830d",
"blockId": "fa6c78c74f9ee2093f6928113ceb5dbe3c09a8bf37315af48a3cf611fa8301fe",
"inclusionHeight": 1619079,
"timestamp": 1758651148481,
"index": 2,
"globalIndex": 9515129,
"numConfirmations": 142018,
"inputs": [
{
"boxId": "f72c201dceb26ac279874abdbece2146929ee0842b1dfaed509561e247e7a29a",
"value": 100000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "33b902a2b417febb15e1eeea77da35cc2caaf8160da81feaf92ea838517a85b9",
"outputTransactionId": "7f3df4615400a1b9adf097696528895a97d18816f1aa5f52beb703360022681c",
"outputIndex": 0,
"outputGlobalIndex": 50419785,
"outputCreatedAt": 1619073,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 1\n12: 2\n13: 2\n14: 3",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n if (coll1.size > placeholder[Int](0)) {(\n val box2 = coll1(placeholder[Int](1))\n val tuple3 = OUTPUTS(placeholder[Int](2)).tokens(placeholder[Int](3))\n val tuple4 = SELF.tokens(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == placeholder[Coll[Byte]](5) }), tuple3._1 == tuple4._1, tuple3._2 == tuple4._2\n )\n )\n ) && atLeast(box2.R5[Coll[Int]].get(placeholder[Int](6)), box2.R4[Coll[Coll[Byte]]].get.map({(coll5: Coll[Byte]) => proveDlog(decodePoint(coll5)) }))\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](7))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val i5 = coll4.size\n val tuple6 = coll3(placeholder[Int](8))\n val tuple7 = coll4(placeholder[Int](9))\n val tuple8 = coll3(placeholder[Int](10))\n val tuple9 = coll4(placeholder[Int](11))\n val tuple10 = coll3(placeholder[Int](12))\n val tuple11 = coll4(placeholder[Int](13))\n val l12 = tuple10._2\n val l13 = tuple11._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.propositionBytes == SELF.propositionBytes, box2.value >= SELF.value, coll3.size == i5, i5 == placeholder[Int](\n 14\n ), tuple6._1 == tuple7._1, tuple6._2 == tuple7._2, tuple8._1 == tuple9._1, tuple10._1 == tuple11._1, l12 > l13, tuple9._2 - tuple8._2 == l12 - l13\n )\n )\n )\n )}\n}",
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"name": "rspv2EmissionNFT",
"decimals": 0,
"type": "EIP-004"
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{
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"name": "eRSN",
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],
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{
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"ergoTree": "0008cd02e0796b06ae3ed70db21aa1377b96a05559b1e280889f40ef1d03d87d22aeb7de",
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"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
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"name": "eRSN",
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"type": "EIP-004"
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],
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{
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"outputGlobalIndex": 50259973,
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"ergoTree": "0008cd02e0796b06ae3ed70db21aa1377b96a05559b1e280889f40ef1d03d87d22aeb7de",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e0796b,cb52dc,...)))}",
"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
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"index": 0,
"amount": 4922,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e0796b,cb52dc,...)))}",
"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
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"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e0796b,cb52dc,...)))}",
"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
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"index": 0,
"amount": 2833,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
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{
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"outputIndex": 3,
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"ergoTree": "0008cd02e0796b06ae3ed70db21aa1377b96a05559b1e280889f40ef1d03d87d22aeb7de",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e0796b,cb52dc,...)))}",
"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
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"index": 0,
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"name": "eRSN",
"decimals": 3,
"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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"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
"assets": [
{
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"index": 0,
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"name": "eRSN",
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],
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{
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"address": "9gDvQhi9oN4twy5CpS5n1H8fDfZ2mQivcMynBBJj5SWgSnVZkBH",
"assets": [
{
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"index": 0,
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"name": "eRSN",
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}
],
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}
],
"dataInputs": [],
"outputs": [
{
"boxId": "c105075b6f2ef134c728788cb1c7ac966888954630fd06c26b62b26e73e481bd",
"transactionId": "17aec59a455db63a29bb100e454bfcef0feafb6faa36089ea7b6870a9a40830d",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 1\n12: 2\n13: 2\n14: 3",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n if (coll1.size > placeholder[Int](0)) {(\n val box2 = coll1(placeholder[Int](1))\n val tuple3 = OUTPUTS(placeholder[Int](2)).tokens(placeholder[Int](3))\n val tuple4 = SELF.tokens(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == placeholder[Coll[Byte]](5) }), tuple3._1 == tuple4._1, tuple3._2 == tuple4._2\n )\n )\n ) && atLeast(box2.R5[Coll[Int]].get(placeholder[Int](6)), box2.R4[Coll[Coll[Byte]]].get.map({(coll5: Coll[Byte]) => proveDlog(decodePoint(coll5)) }))\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](7))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val i5 = coll4.size\n val tuple6 = coll3(placeholder[Int](8))\n val tuple7 = coll4(placeholder[Int](9))\n val tuple8 = coll3(placeholder[Int](10))\n val tuple9 = coll4(placeholder[Int](11))\n val tuple10 = coll3(placeholder[Int](12))\n val tuple11 = coll4(placeholder[Int](13))\n val l12 = tuple10._2\n val l13 = tuple11._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.propositionBytes == SELF.propositionBytes, box2.value >= SELF.value, coll3.size == i5, i5 == placeholder[Int](\n 14\n ), tuple6._1 == tuple7._1, tuple6._2 == tuple7._2, tuple8._1 == tuple9._1, tuple10._1 == tuple11._1, l12 > l13, tuple9._2 - tuple8._2 == l12 - l13\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "rspv2EmissionNFT",
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"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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},
{
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"name": "eRSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "55177850289103cf8c17e7e738899813e5cf8f9d1ac4ac4013c9713f6f1e4581",
"mainChain": true
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{
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},
{
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{
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}
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}