Transaction
ID: 89e07c5124...7bef
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080249 ERG
Tokens:
10,382.24
Spent
Address:
Output transaction:
Settlement height:
Value:
34.36 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
15,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
20
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
25 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
50.01 ERG
Tokens:
26,389.44
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.36 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 515,211
Total coins transferred: 59.37 ERG
Fees: 0.002 ERG
Fees per byte: 0.0000008 ERG
Raw Transaction Data
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"timestamp": 1713581874128,
"index": 4,
"globalIndex": 7049775,
"numConfirmations": 515211,
"inputs": [
{
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{
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"address": "9gyDxC6BSye22qHPofuG9bG2DptqQ1F4qnqBJmm4AoYWtH6B5ab",
"assets": [
{
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{
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{
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"address": "9gyDxC6BSye22qHPofuG9bG2DptqQ1F4qnqBJmm4AoYWtH6B5ab",
"assets": [
{
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"name": "Cybercitizen #6066",
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],
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{
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"ergoTree": "0008cd0342cc3eae917d6e6eed082d47de583de67fc72d23640e95983e85f0588a71cc1c",
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"address": "9gyDxC6BSye22qHPofuG9bG2DptqQ1F4qnqBJmm4AoYWtH6B5ab",
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],
"dataInputs": [],
"outputs": [
{
"boxId": "e09f450bf4d11a1e8f6ad9b20a8dcdd181ef0a0ddefd3d34c36bc5c818bd9583",
"transactionId": "89e07c512459308ee04d58635db7a1f448944d4f8e5580e54265a9df55ca7bef",
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"value": 50006060000,
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(42cc3e,cc44dc,...)))\n1: 0\n2: 50000000000\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(127,23,89,48,11,25,40,122,-37,-68,-48,60,-121,126,-82,108,109,-26,15,76,41,98,-79,-4,90,-30,-58,-30,-90,-124,34,12)\n13: 2\n14: 1\n15: 6000000\n16: 50000000000\n17: 6000000\n18: false\n19: Coll(16,5,4,0,4,0,14,54,16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n20: 0\n21: 0\n22: 2000000\n23: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val l3 = placeholder[Long](2)\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](5))\n val tuple6 = coll4(placeholder[Int](6))\n val bi7 = placeholder[Long](7) - tuple6._2.toBigInt\n val bi8 = box2.value.toBigInt\n val bi9 = l3.toBigInt * bi7 / bi8\n val tuple10 = coll4(placeholder[Int](8))\n val bi11 = tuple10._2.toBigInt\n val bi12 = SELF.tokens(placeholder[Int](9))._2.toBigInt * bi7 / bi11\n val coll13 = box5.tokens\n val tuple14 = coll13(placeholder[Int](10))\n (((((coll4(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box5.propositionBytes == prop1.propBytes)) && if ((bi9 < bi12) && (coll13.size == placeholder[Int](13))) {(\n val tuple15 = coll13(placeholder[Int](14))\n ((box5.value >= SELF.value - placeholder[Long](15) - placeholder[Long](16)) && (tuple15._1 == tuple10._1)) && (tuple15._2.toBigInt >= bi12 - bi9 * bi11 / bi7)\n )} else { if (bi9 >= bi12) { box5.value.toBigInt >= SELF.value - placeholder[Long](17).toBigInt - l3.toBigInt - bi9 - bi12 * bi8 / bi7 } else { placeholder[Boolean](18) } }) && (tuple14._1 == tuple6._1)) && (tuple14._2.toBigInt >= min(bi9, bi12))) && (OUTPUTS.map({(box15: Box) => if (box15.propositionBytes == placeholder[Coll[Byte]](19)) { box15.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) })\n}",
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"assets": [
{
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"index": 0,
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"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0643726f6f6b73",
"sigmaType": "Coll[SByte]",
"renderedValue": "43726f6f6b73"
}
},
"spentTransactionId": "1628535a48b567d5c3cbd2dff593f09cc034987f81a87eae8623f2c3e66efa93",
"mainChain": true
},
{
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"transactionId": "89e07c512459308ee04d58635db7a1f448944d4f8e5580e54265a9df55ca7bef",
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"value": 9362740821,
"index": 1,
"globalIndex": 39376833,
"creationHeight": 1246828,
"settlementHeight": 1246831,
"ergoTree": "0008cd0342cc3eae917d6e6eed082d47de583de67fc72d23640e95983e85f0588a71cc1c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42cc3e,cc44dc,...)))}",
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{
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{
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],
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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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}
],
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}