Transaction
ID: e125e6c9a1...3a81
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
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000696379 ERG
Tokens:
410,130.34
Spent
Address:
Output transaction:
Settlement height:
Value:
520.64 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00606 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
520.63 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 369,677
Total coins transferred: 520.64 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000084 ERG
Raw Transaction Data
{
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"timestamp": 1732135505310,
"index": 6,
"globalIndex": 8091340,
"numConfirmations": 369677,
"inputs": [
{
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"index": 0,
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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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{
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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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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7c3ecd81af27f8f05ade9de368ec0d81863ecac7a78e6da08f60c4e6d90ca410",
"transactionId": "e125e6c9a1d9021696a7309dc089aaa5909330a85122399f26bc695b85e93a81",
"blockId": "2f5ead924eabdc32e45ff1f4bab11b6e617b198ed393c5ffc4581524bd298660",
"value": 6060000,
"index": 0,
"globalIndex": 44048907,
"creationHeight": 1400097,
"settlementHeight": 1400099,
"ergoTree": "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",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(cda81a,750364,...)))\n1: 0\n2: 2\n3: 3\n4: 1\n5: 0\n6: 2\n7: 0\n8: 9223372036854775807\n9: 1\n10: 0\n11: Coll(-42,-11,-41,-25,88,-115,-112,62,-3,53,59,117,-30,101,32,-26,-47,32,15,42,-9,-81,-79,-78,31,105,-53,-90,-119,109,-62,-46)\n12: 6000000\n13: 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)\n14: 0\n15: 0\n16: 2000000\n17: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n val coll3 = box2.tokens\n val box4 = OUTPUTS(placeholder[Int](4))\n val tuple5 = box4.tokens(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val bi7 = SELF.tokens(placeholder[Int](7))._2.toBigInt\n val bi8 = placeholder[Long](8) - coll3(placeholder[Int](9))._2.toBigInt\n (((((coll3(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11)) && (box4.propositionBytes == prop1.propBytes)) && (tuple5._1 == tuple6._1)) && (box4.value - SELF.value + placeholder[Long](12).toBigInt >= bi7 * box2.value.toBigInt / bi8)) && (tuple5._2.toBigInt >= bi7 * tuple6._2.toBigInt / bi8)) && (OUTPUTS.map({(box9: Box) => if (box9.propositionBytes == placeholder[Coll[Byte]](13)) { box9.value } else { placeholder[Long](14) } }).fold(placeholder[Long](15), {(tuple9: (Long, Long)) => tuple9._1 + tuple9._2 }) <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) })\n}",
"address": "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",
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