Transaction
ID: de73fcb404...9f03
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001200633 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00121153 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
15.4 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001200044 ERG
Tokens:
5,010.25
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
342.1 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
100.08 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
257.42 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 479,425
Total coins transferred: 357.51 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000861 ERG
Raw Transaction Data
{
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"timestamp": 1718769398126,
"index": 2,
"globalIndex": 7372935,
"numConfirmations": 479425,
"inputs": [
{
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{
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{
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{
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{
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{
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{
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],
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{
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"address": "9gAQx5nYXPzAuSYaffTDdYrS12hfLKyWqKSZD639VUAjFqHJp6G",
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{
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d88257,152e06,...)))}",
"address": "9gAQx5nYXPzAuSYaffTDdYrS12hfLKyWqKSZD639VUAjFqHJp6G",
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{
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],
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d88257,152e06,...)))}",
"address": "9gAQx5nYXPzAuSYaffTDdYrS12hfLKyWqKSZD639VUAjFqHJp6G",
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{
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],
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d88257,152e06,...)))}",
"address": "9gAQx5nYXPzAuSYaffTDdYrS12hfLKyWqKSZD639VUAjFqHJp6G",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"name": "Paideia",
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "624a668bb674a478019cd80e4e0612b3f4484bea096bb01e2570153d7edb5e33",
"transactionId": "de73fcb4045ac967782bc0a565dae92f527cf3549a24232493b8d729fd919f03",
"blockId": "be309124a00ceb78e755f4a4d3ad554112cfe74b4ac487878af47858f4fae059",
"value": 100084817887,
"index": 0,
"globalIndex": 40917920,
"creationHeight": 1289701,
"settlementHeight": 1289704,
"ergoTree": "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",
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"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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"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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}