Transaction
ID: d1f4fecf5c...8f79
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00111118 ERG
Tokens:
907.12
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001083928 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4,349.08 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
504.35 ERG
Tokens:
907
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3,844.73 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 352,700
Total coins transferred: 4,349.08 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000852 ERG
Raw Transaction Data
{
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"inclusionHeight": 1412273,
"timestamp": 1733606306783,
"index": 1,
"globalIndex": 8208550,
"numConfirmations": 352700,
"inputs": [
{
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"address": "9gXKqXcF8fSEugmR1wZo1sk8QjbHqZjtenANW1dSeUoCYFjjudZ",
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{
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{
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"assets": [
{
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{
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"address": "9gXKqXcF8fSEugmR1wZo1sk8QjbHqZjtenANW1dSeUoCYFjjudZ",
"assets": [
{
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7fdf6a,1d9f9c,...)))}",
"address": "9gXKqXcF8fSEugmR1wZo1sk8QjbHqZjtenANW1dSeUoCYFjjudZ",
"assets": [
{
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7fdf6a,1d9f9c,...)))}",
"address": "9gXKqXcF8fSEugmR1wZo1sk8QjbHqZjtenANW1dSeUoCYFjjudZ",
"assets": [
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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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}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f4e404338d02ad87a5fda632fb713b25c0ae23421c5849e2ca20ca165f1bfff1",
"transactionId": "d1f4fecf5c84e9545cf1bdfd966ce2c08c451b8893ac2230d074c46011778f79",
"blockId": "645fd54239d1bde0cacc321969d1abc78abeda12c32f13d7051ee745666f0520",
"value": 504354178359,
"index": 0,
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"creationHeight": 1412270,
"settlementHeight": 1412273,
"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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{
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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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}