Transaction
ID: dadd6b33ea...ef25
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.097 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.39 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.097 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.38824671 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 147,676
Total coins transferred: 1.49 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000229 ERG
Raw Transaction Data
{
"id": "dadd6b33eae0c0dea1a638b039c8cb72eeec95e12ac3a69f0871b3b21bc7ef25",
"blockId": "f9c656da88359d7a9611bb35c1b1fd3c58370ad9fd5bd25063f78987fa53524e",
"inclusionHeight": 1630965,
"timestamp": 1760091583590,
"index": 20,
"globalIndex": 9600163,
"numConfirmations": 147676,
"inputs": [
{
"boxId": "de0aa428fef8c2f6e28cd67ac355026dd28cd9e338da6d6dbf6c9c677414b05c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1e860e75fd22cc16343258f5eadb8f50d48f6de0860ecd775a20549c8cd75850",
"outputTransactionId": "64a237de877fb73dfa3008c11d70618bc8502969c4153cf4c7a3e496b035c043",
"outputIndex": 0,
"outputGlobalIndex": 50762607,
"outputCreatedAt": 1630956,
"outputSettledAt": 1630958,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 3000\n3: 3000\n4: 100000\n5: 2\n6: 0\n7: 0\n8: 0\n9: 3\n10: 2\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n13: 0\n14: 2",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = OUTPUTS.forall({(box2: Box) => box2.propositionBytes != coll1 })\n val i3 = SELF.R9[Int].get\n val bool4 = i3 == placeholder[Int](0)\n val ge5 = SELF.R4[GroupElement].get\n val prop6 = proveDlog(ge5)\n val tuple7 = SELF.R6[(Coll[Byte], Long)].get\n val coll8 = tuple7._1\n val l9 = tuple7._2\n val box10 = OUTPUTS(placeholder[Int](1))\n val l11 = SELF.R8[Long].get\n val tuple12 = SELF.R7[(Long, Int)].get\n val l13 = tuple12._1\n val l14 = l11 * if (l13 > placeholder[Long](2)) { l13 } else { placeholder[Long](3) } / placeholder[Long](4)\n val coll15 = prop6.propBytes\n val box16 = OUTPUTS(placeholder[Int](5))\n val box17 = OUTPUTS(placeholder[Int](6))\n val bool18 = {(box18: Box) =>\n val coll20 = box18.tokens\n val tuple21 = coll20(placeholder[Int](7))\n allOf(Coll[Boolean](coll20.size > placeholder[Int](8), tuple21._1 == coll8, tuple21._2 >= l9))\n }(box17)\n val tuple19 = SELF.R5[(Coll[Byte], Long)].get\n val l20 = tuple19._2\n val coll21 = tuple19._1\n val box22 = OUTPUTS(placeholder[Int](9))\n val bool23 = i3 == placeholder[Int](10)\n val i24 = SELF.creationInfo._1 + tuple12._2\n sigmaProp(INPUTS.filter({(box25: Box) => box25.propositionBytes == coll1 }).size == placeholder[Int](11)) && sigmaProp(\n allOf(Coll[Boolean](bool2, bool4))\n ) && prop6 || sigmaProp(\n allOf(\n Coll[Boolean](\n bool4, SELF.tokens.exists({(tuple25: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple25._1 == coll8, tuple25._2 >= l9)) }), allOf(\n Coll[Boolean](box10.value >= l11 - l14, box10.propositionBytes == coll15)\n ), allOf(Coll[Boolean](box16.value >= l14, box16.propositionBytes == placeholder[SigmaProp](12).propBytes)), bool18, {(box25: Box) =>\n if (coll21.size == placeholder[Int](13)) { box25.value >= SELF.value + l20 } else {\n box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple27._1 == coll21, tuple27._2 >= l20)) })\n }\n }(box22), allOf(\n Coll[Boolean](\n box22.propositionBytes == coll1, box22.R4[GroupElement].get == ge5, box22.R5[(Coll[Byte], Long)].get == tuple19, box22.R6[\n (Coll[Byte], Long)\n ].get == tuple7, box22.R7[(Long, Int)].get == tuple12, box22.R8[Long].get == l11, box22.R9[Int].get == placeholder[Int](14)\n )\n )\n )\n )\n ) || sigmaProp(allOf(Coll[Boolean](bool2, bool23, HEIGHT <= i24, bool18, box17.propositionBytes == coll15))) || sigmaProp(\n allOf(Coll[Boolean](bool2, bool23, HEIGHT > i24))\n ) && prop6\n}",
"address": "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",
"assets": [
{
"tokenId": "caa2476e5b83ac1fb8a9c499772ed622e316d6334c799b02d43fb11439a65125",
"index": 0,
"amount": 1,
"name": "Disco Solaris #4860",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e0080a8d6b907",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,1000000000]"
},
"R6": {
"serializedValue": "4d0e20caa2476e5b83ac1fb8a9c499772ed622e316d6334c799b02d43fb11439a6512502",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[caa2476e5b83ac1fb8a9c499772ed622e316d6334c799b02d43fb11439a65125,1]"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "4104f02e64",
"sigmaType": "(SLong, SInt)",
"renderedValue": "[3000,50]"
},
"R9": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R4": {
"serializedValue": "0703c59160fe57f73399d829835398712bfa5681d8708e8e3b29a197205808af8548",
"sigmaType": "SGroupElement",
"renderedValue": "03c59160fe57f73399d829835398712bfa5681d8708e8e3b29a197205808af8548"
}
}
},
{
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"value": 97000000,
"index": 1,
"spendingProof": "d89c0ea4168e52da894c1928c18184dd642fc354887771aaa18a8a6dc3dbfefd5caacee421e3d95a7a0822d4d7f91534f733c9143c865dd4",
"outputBlockId": "9d6fa072912d36914e95084b4cd726cf7c0d966223d59bc48b33c1df011348da",
"outputTransactionId": "41d8138af435af5e4a3be78109ba349660a6c710419506f38a1d30c1cb307023",
"outputIndex": 1,
"outputGlobalIndex": 50762095,
"outputCreatedAt": 1630931,
"outputSettledAt": 1630933,
"ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
"address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
"assets": [],
"additionalRegisters": {}
},
{
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"outputIndex": 2,
"outputGlobalIndex": 50761829,
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"ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
"address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
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{
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"assets": [],
"additionalRegisters": {
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"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,1000000000]"
},
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},
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},
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},
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},
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},
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"mainChain": true
},
{
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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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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
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