Transaction
ID: 9ec0bccb32...78a4
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.3 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001079896 ERG
Tokens:
41.52
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00606 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.29 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 701,690
Total coins transferred: 1.3 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000709 ERG
Raw Transaction Data
{
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"inclusionHeight": 1061606,
"timestamp": 1691133036501,
"index": 18,
"globalIndex": 5617315,
"numConfirmations": 701690,
"inputs": [
{
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"outputBlockId": "ebfa077a17686a3b5487fb196831d5ebe02fadfc1d7ca0911a9fe278f96f2488",
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"outputIndex": 1,
"outputGlobalIndex": 31507779,
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"address": "9gtHVCijej6SUE4Bkw3rdzQ4BdEd7cDhp2rHXRa9wbQQ27WPgtE",
"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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{
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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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},
{
"boxId": "d09988aed0a0888b84dd718f33ac192d28869cafe66c6549ef79fa20f1a6404e",
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"outputBlockId": "ebfa077a17686a3b5487fb196831d5ebe02fadfc1d7ca0911a9fe278f96f2488",
"outputTransactionId": "51ce8ee46e7fe3ee032e9a32ef40dd558f181f6739ea389b5a16445675b49ac3",
"outputIndex": 1,
"outputGlobalIndex": 31507785,
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"ergoTree": "0008cd03379545decd8a81dc55f946dfda53158dd48283849e7d115fb0da51ebbfada460",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(379545,7bbde2,...)))}",
"address": "9gtHVCijej6SUE4Bkw3rdzQ4BdEd7cDhp2rHXRa9wbQQ27WPgtE",
"assets": [
{
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"index": 0,
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"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "cd2fe2743e5b7129c086d89bf6dddbc4e3d834211726b8ead8bf5ef3d9dec352",
"transactionId": "9ec0bccb32ba15902f3ea29b723c838edb5e558be4918b28d821322d59c678a4",
"blockId": "9600a79ab13d022e4467f7a4fdb688327f8a68cae09b374b8da15b11e512e8a2",
"value": 6060000,
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"creationHeight": 1061604,
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(379545,7bbde2,...)))\n1: 0\n2: 2\n3: 4\n4: 1\n5: 1\n6: 9223372036854775807\n7: 2\n8: 0\n9: 3\n10: 1\n11: 0\n12: 0\n13: Coll(8,14,69,50,113,-1,77,47,-123,-7,117,105,-80,-105,85,-26,117,55,-65,42,27,-63,-51,9,65,27,69,-100,-7,1,-71,2)\n14: 1\n15: 6000000\n16: 2\n17: 1\n18: 2\n19: 1\n20: true\n21: false\n22: 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)\n23: 0\n24: 0\n25: 2000000\n26: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = SELF.tokens\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](4))\n val tuple6 = coll4(placeholder[Int](5))\n val bi7 = placeholder[Long](6) - tuple6._2.toBigInt\n val tuple8 = coll4(placeholder[Int](7))\n val bi9 = tuple8._2.toBigInt\n val bi10 = coll3(placeholder[Int](8))._2.toBigInt * bi7 / bi9\n val tuple11 = coll4(placeholder[Int](9))\n val bi12 = tuple11._2.toBigInt\n val bi13 = coll3(placeholder[Int](10))._2.toBigInt * bi7 / bi12\n val coll14 = box5.tokens\n val tuple15 = coll14(placeholder[Int](11))\n ((((((coll4(placeholder[Int](12)) == (placeholder[Coll[Byte]](13), placeholder[Long](14))) && (box5.propositionBytes == prop1.propBytes)) && (box5.value >= SELF.value - placeholder[Long](15))) && if ((bi10 < bi13) && (coll14.size == placeholder[Int](16))) {(\n val tuple16 = coll14(placeholder[Int](17))\n (tuple16._1 == tuple11._1) && (tuple16._2.toBigInt >= bi13 - bi10 * bi12 / bi7)\n )} else { if ((bi10 > bi13) && (coll14.size == placeholder[Int](18))) {(\n val tuple16 = coll14(placeholder[Int](19))\n (tuple16._1 == tuple8._1) && (tuple16._2.toBigInt >= bi10 - bi13 * bi9 / bi7)\n )} else { if (bi10 == bi13) { placeholder[Boolean](20) } else { placeholder[Boolean](21) } } }) && (tuple15._1 == tuple6._1)) && (tuple15._2.toBigInt >= min(bi10, bi13))) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](22)) { box16.value } else { placeholder[Long](23) } }).fold(placeholder[Long](24), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](25))\n )} else { placeholder[Boolean](26) })\n}",
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{
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},
{
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"type": "EIP-004"
}
],
"additionalRegisters": {},
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"mainChain": true
},
{
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"ergoTree": "0008cd03379545decd8a81dc55f946dfda53158dd48283849e7d115fb0da51ebbfada460",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(379545,7bbde2,...)))}",
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{
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(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)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a600ba0b7b79b91d67718bbaaee9aebef73bfbef7f12f983ee282859f03a44c7",
"mainChain": true
}
],
"size": 2819,
"isUnconfirmed": false
}