Transaction
ID: 5f7182e7bb...4179
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.24 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.11 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0016 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.13 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 561,142
Total coins transferred: 4.24 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000656 ERG
Raw Transaction Data
{
"id": "5f7182e7bb422285b8ee4904e0517dabc90d2331211d32f544aabfdecb444179",
"blockId": "8ecaa7b550d94853454eb224b2b465bc3efbc448ce648222e5e17acf9b4c0928",
"inclusionHeight": 1207294,
"timestamp": 1708803108988,
"index": 7,
"globalIndex": 6684630,
"numConfirmations": 561142,
"inputs": [
{
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"value": 1000000,
"index": 0,
"spendingProof": "8ddbb2e2e5802849d992549460315e21673f7882b8d00c2ef4084884384b75cbf19a20157719b26ff74fd82555948acdd78362a763314064",
"outputBlockId": "491e7e75fd5aa0693a5306ed7aaaae71053d3423c52dbcda64951ed09ed32d69",
"outputTransactionId": "df891b095b70366ce2695d3219c6483a073fcc1c6aebbd86ad9a1abc4c022cad",
"outputIndex": 0,
"outputGlobalIndex": 37170467,
"outputCreatedAt": 1207250,
"outputSettledAt": 1207253,
"ergoTree": "0008cd02f7ffa8d12a5147377ee9b45c7eee783cd7e169d60401a4f3e76a557a05a6dea1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f7ffa8,98b6eb,...)))}",
"address": "9gQHJq1pLKSg2VDk4JaEEs66sb7XrA5mtU82s3RaXqfNgbGxYbF",
"assets": [
{
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"name": "Rosen Trolls #345",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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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": "ccaf63854a15929268291a1ba3618430b1d03e3ab8bb13d0f04edea5791dab45",
"transactionId": "5f7182e7bb422285b8ee4904e0517dabc90d2331211d32f544aabfdecb444179",
"blockId": "8ecaa7b550d94853454eb224b2b465bc3efbc448ce648222e5e17acf9b4c0928",
"value": 2106200000,
"index": 0,
"globalIndex": 37174556,
"creationHeight": 1207292,
"settlementHeight": 1207294,
"ergoTree": "100c040004000400040005000500040001010e20e540cceffd3b8dd0f401193576cc413467039695969427df94454193dddfb375050005000580a8c301d802d601db6308b2a4730000d602e4c6a7040895ed91b172017301938cb2720173020001e4c6a7050ed1938ce4c6b2a5730300094405017202d802d603d07202d604db6308a7ea02d1968302019683020192b0ada5d90105639593c272057203c1720573047305d90105599a8c7205018c720502c1a79591b172047306aea5d9010563ed93db63087205720493c272057203730793b0ada5d90105639593cbc272057308c172057309730ad90105599a8c7205018c720502730b7202",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: true\n8: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n9: 0\n10: 0\n11: 1600000",
"ergoTreeScript": "{\n val coll1 = INPUTS(placeholder[Int](0)).tokens\n val prop2 = SELF.R4[SigmaProp].get\n if ((coll1.size > placeholder[Int](1)) && (coll1(placeholder[Int](2))._1 == SELF.R5[Coll[Byte]].get)) {\n sigmaProp(OUTPUTS(placeholder[Int](3)).R9[(SigmaProp, Long)].get._1 == prop2)\n } else {(\n val coll3 = prop2.propBytes\n val coll4 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n OUTPUTS.map({(box5: Box) => if (box5.propositionBytes == coll3) { box5.value } else { placeholder[Long](4) } }).fold(\n placeholder[Long](5), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }\n ) >= SELF.value, if (coll4.size > placeholder[Int](6)) {\n OUTPUTS.exists({(box5: Box) => (box5.tokens == coll4) && (box5.propositionBytes == coll3) })\n } else { placeholder[Boolean](7) }\n )\n ), OUTPUTS.map(\n {(box5: Box) => if (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](8)) { box5.value } else { placeholder[Long](9) } }\n ).fold(placeholder[Long](10), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) == placeholder[Long](11)\n )\n )\n ) && prop2\n )}\n}",
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"sigmaType": "SSigmaProp",
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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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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f7ffa8,98b6eb,...)))}",
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