Transaction
ID: 2b43dc1534...c656
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001081245 ERG
Tokens:
166,958.46
Spent
Address:
Output transaction:
Settlement height:
Value:
20.2 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
20.2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00010512 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 324,420
Total coins transferred: 20.2 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000253 ERG
Raw Transaction Data
{
"id": "2b43dc1534fece63b4b64794f2c281b19be1e7fed94b366910bb23adee18c656",
"blockId": "0553b34fb6cd82dc32f71d4f0b9bbc323904629760767e719b5e9f4b135387d2",
"inclusionHeight": 1437653,
"timestamp": 1736673202646,
"index": 18,
"globalIndex": 8421830,
"numConfirmations": 324420,
"inputs": [
{
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"value": 1000000,
"index": 0,
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"outputTransactionId": "cd08f8f7f9abcd7d90904d09f94befd3b54566896b1727f7cacbb759bf94ae84",
"outputIndex": 0,
"outputGlobalIndex": 44952103,
"outputCreatedAt": 1420883,
"outputSettledAt": 1420885,
"ergoTree": "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",
"ergoTreeConstants": "0: 2000\n1: 2000\n2: 100000\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n5: 1\n6: 0\n7: 1\n8: 0\n9: 0\n10: 2\n11: 0\n12: 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 if (b1 == placeholder[Byte](5)) {(\n val box12 = OUTPUTS(placeholder[Int](6))\n val box13 = OUTPUTS(placeholder[Int](7))\n sigmaProp(allOf(Coll[Boolean](if (bool9) { allOf(Coll[Boolean](box12.value.toBigInt == bi2 - bi6, box12.propositionBytes == prop7.propBytes)) } else {(\n val tuple14 = box12.tokens(placeholder[Int](8))\n allOf(Coll[Boolean](tuple14._1 == coll8, tuple14._2.toBigInt >= bi2 - bi6, box12.propositionBytes == prop7.propBytes))\n )}, if (bool9) { allOf(Coll[Boolean](box13.value.toBigInt >= bi10, box13.propositionBytes == prop11.propBytes)) } else {(\n val tuple14 = box13.tokens(placeholder[Int](9))\n allOf(Coll[Boolean](box13.propositionBytes == prop11.propBytes, tuple14._1 == coll8, tuple14._2.toBigInt >= bi10))\n )}, OUTPUTS.forall({(box14: Box) => box14.propositionBytes != SELF.propositionBytes }))))\n )} else { if (b1 == placeholder[Byte](10)) {(\n val box12 = OUTPUTS(placeholder[Int](11))\n sigmaProp(allOf(Coll[Boolean](box12.value == SELF.value, box12.propositionBytes == prop7.propBytes, box12.tokens == SELF.tokens))) && prop7\n )} else { sigmaProp(placeholder[Boolean](12)) } }\n}",
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{
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{
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},
{
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},
{
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}
],
"additionalRegisters": {
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"sigmaType": "SSigmaProp",
"renderedValue": "033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0"
},
"R6": {
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"sigmaType": "SLong",
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},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4d65774d6172742c4f74686572"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": "b780a9682ba1ea68eedfe3dd00169e414ea8968d96142ee95e2391d64df05c3d"
},
"R9": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "060502540be400",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000)"
}
}
},
{
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"outputGlobalIndex": 45520914,
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"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
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{
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{
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