Transaction
ID: af96b4316d...da98
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.89119164 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.89009164 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 73,923
Total coins transferred: 0.89219164 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000284 ERG
Raw Transaction Data
{
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"timestamp": 1768243075016,
"index": 22,
"globalIndex": 10134741,
"numConfirmations": 73923,
"inputs": [
{
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"outputBlockId": "1be845ca03945af4d0110c03d1978e535aff14e8afb818ac11c5099439b8a85f",
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],
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},
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},
{
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],
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],
"dataInputs": [],
"outputs": [
{
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"creationHeight": 1698379,
"settlementHeight": 1698381,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-86,-66,103,115,86,-95,-107,111,-36,61,-113,-80,5,-91,125,120,-47,106,36,62,16,126,-38,-42,-71,69,88,63,-69,121,17,77)\n2: 0\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n19: 0\n20: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 5\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: Coll(-101,3,101,37,50,25,-79,-73,50,0,107,-13,-81,-26,110,-50,-104,-49,-42,19,44,42,119,-41,74,81,-23,-88,8,-34,63,122)\n46: 1\n47: 1\n48: 2\n49: 30\n50: false\n51: 0\n52: 0\n53: 0\n54: 1000000\n55: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R5[(Coll[Byte], Long)].get\n val coll9 = tuple8._1\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll11 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R7[Coll[Coll[Byte]]].get\n val l16 = tuple8._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == coll5 })\n if (coll17.size == placeholder[Int](8)) {(\n val box18 = coll17(placeholder[Int](9))\n val tuple19 = box18.R6[(Coll[Byte], Coll[Byte])].get\n val coll20 = tuple19._1\n val coll21 = tuple19._2\n val coll22 = Coll[Byte]()\n if (((blake2b256(coll20) == coll6) && (blake2b256(box18.propositionBytes) == coll5)) && if (coll21 == coll22) { placeholder[Boolean](10) } else {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](11)) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.R5[Coll[Byte]].get == coll21) })\n if (coll23.size == placeholder[Int](12)) {(\n val box24 = coll23(placeholder[Int](13))\n val coll25 = box24.R9[Coll[Long]].get\n ((coll25.fold(placeholder[Boolean](14), {(tuple26: (Boolean, Long)) =>\n val bool28 = tuple26._1\n if (bool28) { bool28 } else { if (blake2b256(box24.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple26._2)).append(box24.R8[Coll[Byte]].get).append(box24.R4[Coll[Byte]].get).append(coll20)) == box24.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool28 } }\n }) && if (coll11 == coll22) { box24.value >= l12 } else { box24.tokens.exists({(tuple26: (Coll[Byte], Long)) => (tuple26._1 == coll11) && (tuple26._2 >= l12) }) }) && (box24.creationInfo._1.toLong < l4)) && (coll25.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((((((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](18)) && (box23.tokens.size > placeholder[Int](19))) && (box23.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box23.R5[Coll[Byte]].get == coll7)) && box23.R6[Boolean].get) && box23.R8[Boolean].get) && coll15.exists({(coll25: Coll[Byte]) => coll25 == box23.tokens(placeholder[Int](21))._1 }) })\n val coll24 = coll23.map({(box24: Box) => box24.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func13(box18) >= l14) && (box18.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == coll7 }).size == placeholder[Int](23))) && (box18.R4[Int].get == placeholder[Int](24))) && (box18.R5[Coll[Byte]].get == coll9)) && (box18.R7[Coll[Coll[Byte]]].get == coll15)) && (box18.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box18.R8[Coll[Long]].get(placeholder[Int](26)) == l14)) && (box18.R8[Coll[Long]].get(placeholder[Int](27)) == l12)) && (box18.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box18.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box18.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll10(placeholder[Int](35)))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll11)) && (box18.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll24.indices.forall({(i25: Int) => !coll24.slice(i25 + placeholder[Int](38), coll23.size).exists({(coll27: Coll[Byte]) => coll27 == coll24(i25) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box17 = OUTPUTS(placeholder[Int](43))\n val l18 = l14 - l14 / placeholder[Long](44)\n ((((((((blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](45)) && (func13(box17) >= l18)) && (box17.tokens.filter({(tuple19: (Coll[Byte], Long)) => (tuple19._1 == coll7) && (tuple19._2 == placeholder[Long](46)) }).size == placeholder[Int](47))) && (box17.R4[Int].get == placeholder[Int](48))) && (box17.R5[Long].get >= l2 + placeholder[Long](49))) && (blake2b256(box17.R6[Coll[Byte]].get) == coll6)) && (box17.R7[Long].get == l18)) && (box17.R8[Long].get == l4)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](50) }) || if ((l2 < l16) && (OUTPUTS.size > placeholder[Int](51))) {(\n val box17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](52))\n val l18 = box17.value\n val tuple19 = box17.R5[(Coll[Byte], Long)].get\n ((((((((box17.tokens(placeholder[Int](53))._1 == coll7) && ((l18 >= placeholder[Long](54)) && (l18 == SELF.value))) && (tuple19._1 == blake2b256(coll9.append(SELF.id)))) && (tuple19._2 == l16)) && (box17.R4[Int].get == i1)) && (box17.R6[Coll[Byte]].get == coll6)) && (box17.R7[Coll[Coll[Byte]]].get == coll15)) && (box17.R8[Coll[Long]].get == coll3)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](55) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "8ad432094f048021ee6c6f1cedc0946be8da2166c701ac8bb4464613c5259b17",
"index": 0,
"amount": 1,
"name": "TEST V5",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 500,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e089c6f19ce241e7b1a98a9cf01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[9c6f19ce241e7b1a,1698380]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1106a6a9cf01e807c801a09c01a0c21e1e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1698387,500,100,10000,250000,15]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254455354205635222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c2263726561746f72546f6b656e4964223a2237353865623739363635323234343932633866623834396130383735316434316364353937346137616631303939653535353866353432346133383231666339222c22736572766963654964223a2233356161313131383663313864336530346638313635363234383231336131613363343365383961363730343537363332383765363434646236306333663231222c227061706572223a22222c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
},
"spentTransactionId": "54e9a20698b22ddcd9ea84e2c2bd7054031016e979b7e477e44e9b407a8ae183",
"mainChain": true
},
{
"boxId": "5e34688b86f0ba83d01026cd5edfa818c0bcef78685a52e50c254209a469d4a2",
"transactionId": "af96b4316dabe93f90aaa2bc2b32e99c852c94a3157aa116a6a15cd0ea1dda98",
"blockId": "d9b69ba5d9794a5ff88f000c920232ee691803949e476e694da2925c50865787",
"value": 1100000,
"index": 1,
"globalIndex": 52929680,
"creationHeight": 1698379,
"settlementHeight": 1698381,
"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": "f5d32e16ee9f70116e14ef3b93a66cb08c9533128c05c20c3711f188cd32a3b9",
"mainChain": true
},
{
"boxId": "64c1618c3de573bf7c9b72854ad15f2053c28280aec051c3b4a67defdc67725b",
"transactionId": "af96b4316dabe93f90aaa2bc2b32e99c852c94a3157aa116a6a15cd0ea1dda98",
"blockId": "d9b69ba5d9794a5ff88f000c920232ee691803949e476e694da2925c50865787",
"value": 890091640,
"index": 2,
"globalIndex": 52929681,
"creationHeight": 1698379,
"settlementHeight": 1698381,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "b09da2f796090fb0a11216b73410d2899f9c2ed7d05e3197a8268e1ba356f54d",
"index": 0,
"amount": 1,
"name": "TEST V4",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 95826288,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "8d441ed68557bec21b52fb41d75e77b3fd86ad50c7cde09e7bd9871f9dd44973",
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