Transaction
ID: 3f155e0116...3a94
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
8,968,973.19
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
689.75 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
13.8 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.46 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
674.74 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 70,843
Total coins transferred: 689.75 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000335 ERG
Raw Transaction Data
{
"id": "3f155e0116d5551511c0f1c275f4c54cdff2c54ab97ec44f51b29da0aba63a94",
"blockId": "5e654d6a404df229384aec7bc1ed0965d5577c0e5a3e70d484475efe86f77af4",
"inclusionHeight": 1697279,
"timestamp": 1768110963471,
"index": 3,
"globalIndex": 10126137,
"numConfirmations": 70843,
"inputs": [
{
"boxId": "347c137c948722ad3adc97193f9af203cf68ffbba20d5963a6a948228bdba240",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "557d4c6045aca8aea6e8a064875ab0a0cb93afd3e609db983695955cce817cad",
"outputTransactionId": "df3581f5ac692263796091ed211b3b3d4699d97ae4f8f12b1748cd21c9f7d177",
"outputIndex": 0,
"outputGlobalIndex": 52835803,
"outputCreatedAt": 1695072,
"outputSettledAt": 1695073,
"ergoTree": "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",
"ergoTreeConstants": "0: 2000\n1: 2000\n2: 100000\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n5: 1\n6: 1\n7: 0\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: false",
"ergoTreeScript": "{\n val b1 = getVar[Byte](0.toByte).get\n val bi2 = SELF.R4[BigInt].get\n val l3 = SELF.R6[Long].get\n val l4 = if (l3 > placeholder[Long](0)) { l3 } else { placeholder[Long](1) }\n val l5 = placeholder[Long](2)\n val bi6 = bi2 * SELF.R9[Long].get + l4.toBigInt / l5.toBigInt\n val prop7 = SELF.R5[SigmaProp].get\n val coll8 = SELF.R7[Coll[Byte]].get\n val bool9 = coll8.size == placeholder[Int](3)\n val bi10 = bi2 * l4.toBigInt / l5.toBigInt\n val prop11 = placeholder[SigmaProp](4)\n val coll12 = SELF.propositionBytes\n val bool13 = INPUTS.filter({(box13: Box) => box13.propositionBytes == coll12 }).size == placeholder[Int](5)\n val bool14 = OUTPUTS.forall({(box14: Box) => box14.propositionBytes != coll12 })\n if (b1 == placeholder[Byte](6)) {(\n val box15 = OUTPUTS(placeholder[Int](7))\n val box16 = OUTPUTS(placeholder[Int](8))\n sigmaProp(allOf(Coll[Boolean](if (bool9) { allOf(Coll[Boolean](box15.value.toBigInt >= bi2 - bi6, box15.propositionBytes == prop7.propBytes)) } else {(\n val tuple17 = box15.tokens(placeholder[Int](9))\n allOf(Coll[Boolean](tuple17._1 == coll8, tuple17._2.toBigInt >= bi2 - bi6, box15.propositionBytes == prop7.propBytes))\n )}, if (bool9) { allOf(Coll[Boolean](box16.value.toBigInt >= bi10, box16.propositionBytes == prop11.propBytes)) } else {(\n val tuple17 = box16.tokens(placeholder[Int](10))\n allOf(Coll[Boolean](box16.propositionBytes == prop11.propBytes, tuple17._1 == coll8, tuple17._2.toBigInt >= bi10))\n )}, bool13, bool14)))\n )} else { if (b1 == placeholder[Byte](11)) {(\n val box15 = OUTPUTS(placeholder[Int](12))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box15.value == SELF.value, box15.propositionBytes == prop7.propBytes, box15.tokens == SELF.tokens)), bool13, bool14))) && prop7\n )} else { sigmaProp(placeholder[Boolean](13)) } }\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cybercitizen #425",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "SSigmaProp",
"renderedValue": "0261f0e76d9a09224c3189404c38ed6fdca87686734d4376c7191c255b1f7ded34"
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "3000"
},
"R8": {
"serializedValue": "0e174d65774d6172742c437962657276657273652c53656c6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d65774d6172742c437962657276657273652c53656c6c"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R9": {
"serializedValue": "05904e",
"sigmaType": "SLong",
"renderedValue": "5000"
},
"R4": {
"serializedValue": "0605037e11d600",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(15000000000)"
}
}
},
{
"boxId": "f93a69cd89be5cc6aba04c066593558e175867c980e2a2c036383527511bca88",
"value": 1000000,
"index": 1,
"spendingProof": "ffb9025a6de45744b38fcf2bf1c649e30cb8555ac7f37055d8d5e65ba249214cb6b99642584de91655ccd680414c5607acf7303e84259390",
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"outputIndex": 0,
"outputGlobalIndex": 52820443,
"outputCreatedAt": 1694737,
"outputSettledAt": 1694738,
"ergoTree": "0008cd02cda81a33d986d30573c7d3ead6c5c0a6e9f4a0ed72a2490b97194bfd148957b4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cda81a,750364,...)))}",
"address": "9g5djmJaAfWhNRTeLEev6RSEgffFrPNasYPgsmdGHNBHFbjt17F",
"assets": [
{
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"index": 0,
"amount": 89689731910,
"name": "KETCHUP",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"value": 1000000,
"index": 2,
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"outputGlobalIndex": 52820344,
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"ergoTree": "0008cd02cda81a33d986d30573c7d3ead6c5c0a6e9f4a0ed72a2490b97194bfd148957b4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cda81a,750364,...)))}",
"address": "9g5djmJaAfWhNRTeLEev6RSEgffFrPNasYPgsmdGHNBHFbjt17F",
"assets": [
{
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{
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}
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{
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"ergoTree": "0008cd02cda81a33d986d30573c7d3ead6c5c0a6e9f4a0ed72a2490b97194bfd148957b4",
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