Transaction
ID: d9278c4aa4...dce1
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:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
10.42
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
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:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21.73
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
6
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:
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Value:
0.002 ERG
Tokens:
9
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:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
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: 245,410
Total coins transferred: 0.142 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000767 ERG
Raw Transaction Data
{
"id": "d9278c4aa45fa8a7e2e532ae595f0189f4c60876005391cbc2a9fdb26917dce1",
"blockId": "920afb8faa7f9b858081572ddeae67caa1cfdfb38fe56e340b44d6f6bbd99e54",
"inclusionHeight": 1513992,
"timestamp": 1745920057072,
"index": 6,
"globalIndex": 8902877,
"numConfirmations": 245410,
"inputs": [
{
"boxId": "6f3863c2c74c6be613f4bbf1481ba4666c30894490b5997fe9d56ca71dd806ed",
"value": 100000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "95204696ab81ecc4629e834ed18338dcac64616c092bf1f4f2aba92849c3c5c4",
"outputTransactionId": "2e43832c8d0deb8c8e8b85b1144cf964e62d1b04dd02175422c8aa458eeae140",
"outputIndex": 0,
"outputGlobalIndex": 47620009,
"outputCreatedAt": 1513974,
"outputSettledAt": 1513976,
"ergoTree": "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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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"index": 0,
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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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"outputIndex": 3,
"outputGlobalIndex": 47409537,
"outputCreatedAt": 1504834,
"outputSettledAt": 1504836,
"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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"index": 0,
"amount": 3332,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
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{
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"outputTransactionId": "78bae6f3439b58c953c8c0265514b447d3aaec440c82af73e2d2edafbc8ed891",
"outputIndex": 3,
"outputGlobalIndex": 47437103,
"outputCreatedAt": 1505906,
"outputSettledAt": 1505908,
"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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"index": 0,
"amount": 10421,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
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{
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"outputGlobalIndex": 47443508,
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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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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"outputGlobalIndex": 47447397,
"outputCreatedAt": 1506327,
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"assets": [
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"index": 0,
"amount": 2296,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
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{
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"outputGlobalIndex": 47454091,
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"assets": [
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"index": 0,
"amount": 2465,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
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"additionalRegisters": {}
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{
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
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"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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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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"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"assets": [
{
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],
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{
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"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"assets": [
{
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],
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},
{
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"outputIndex": 3,
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"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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"outputGlobalIndex": 47619727,
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"ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
"assets": [
{
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"index": 0,
"amount": 2661,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8011edbf6a0018351a4f2862881a8bfdebdceb90a166d58017586ae344df4a3c",
"transactionId": "d9278c4aa45fa8a7e2e532ae595f0189f4c60876005391cbc2a9fdb26917dce1",
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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",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
},
{
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"index": 2,
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"name": "eRSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "de39de4637b052dd49faffe965f0ef0b1f8e1a5c4f8c3cb18a69cb0ef6461319",
"mainChain": true
},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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{
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"name": "RSN",
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}
],
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
"address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
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},
{
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"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)}",
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"mainChain": true
}
],
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}