Transaction
ID: cfa617bf73...8612
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
26.64 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
21.33 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.3 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 552,032
Total coins transferred: 26.64 ERG
Fees: 0.005 ERG
Fees per byte: 0.000002127 ERG
Raw Transaction Data
{
"id": "cfa617bf73e6aff47c8d66a8b58be6d8c1281581c18861a00a6ee0ef32068612",
"blockId": "545d11ac785322d8956006950ac451cb900ef4248186a224fcc5cceca84ea15c",
"inclusionHeight": 1218543,
"timestamp": 1710165724403,
"index": 2,
"globalIndex": 6798783,
"numConfirmations": 552032,
"inputs": [
{
"boxId": "a427246287ff015cf5cbe4f7b74ba592ba3ee7437b254296a6d7dc2386444d5a",
"value": 26643988928,
"index": 0,
"spendingProof": "afd1cc38ce3227c47fc65d4d6f48b6e96ce78377d081bc69b55a5153aea2b692c2618e2a0c69b7d88350cbbed4e4e7d11d4b01c0288dd2f8",
"outputBlockId": "4b68a862a1046a22fe18bed06cab437929ee3be33290e0ad1eed061c704aee55",
"outputTransactionId": "327f263bb0284792d96679c4f7163d3b9f06aec74f4109326bb319f7bd9a28e5",
"outputIndex": 1,
"outputGlobalIndex": 37837465,
"outputCreatedAt": 1218053,
"outputSettledAt": 1218055,
"ergoTree": "0008cd02bc69a7d96dfd0523d74e3e2cc62ec6481bd4867cb5b3e2a72837131542cd45b0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc69a7,79f7c4,...)))}",
"address": "9fx3GKmJYtexVMSBdc7VBpVnQc24xdDjLFszxWjtEhiSM9UskCz",
"assets": [
{
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"name": "CYPX",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "[CyberVerse] Error Emote",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "[CyberVerse] ! Emote",
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},
{
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"name": "Cybercitizen #7845",
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{
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"amount": 1,
"name": "Revenge",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "Cybercitizen #5144",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "Cybercitizen #4849",
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"type": "EIP-004"
},
{
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"index": 7,
"amount": 1,
"name": "[Cyberia] Apartment #156",
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},
{
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"name": "CyberCar #592",
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"type": "EIP-004"
},
{
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"amount": 2141290,
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},
{
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},
{
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"name": "Cybercitizen #1998",
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},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 12,
"amount": 453483333000,
"name": "ErgOne",
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"type": "EIP-004"
},
{
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"index": 13,
"amount": 1501000,
"name": "ergopad",
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"type": "EIP-004"
},
{
"tokenId": "121f45add5f3e57a49ac36953b6cbc42ac02879aa4dd30686418933bf11a3fe9",
"index": 14,
"amount": 1,
"name": "ErgoGames.io Membership Card - Founder Tier",
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"type": "EIP-004"
},
{
"tokenId": "891fecd94bed425e571a9941b244e230854466de11d3211d1eb4566a4f6ecd10",
"index": 15,
"amount": 1,
"name": "[CyberVerse] Angry Face with Horns Emote ",
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},
{
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"amount": 1,
"name": "Cybercitizen #4",
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},
{
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"index": 17,
"amount": 1,
"name": "NeuroRevolution",
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},
{
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"amount": 1,
"name": "[Cyberia] Apartment #32",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "CyberCar #677",
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"type": "EIP-004"
},
{
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"index": 20,
"amount": 1,
"name": "CyberPet #130",
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"type": "EIP-004"
},
{
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"name": "AHT",
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{
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"name": "andro killer 10",
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "Sigmanaut's Space Stars #597",
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},
{
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"amount": 1,
"name": "[CyberVerse] Drooling Face ",
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"type": "EIP-004"
},
{
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"name": "Comet #265",
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},
{
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"amount": 1,
"name": "#067 | Yoki | by ErgoPixels",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "dc5baed8d08ae04cc52d24d6947963d70ed36721da7480180a16bcbf30882908",
"value": 3219364,
"index": 0,
"outputBlockId": "0926ca09654a5cc52df11736853080d7f207e81e4f447657c7c26f2c2023f2b2",
"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "9a3cec2c8c55e6f74cf21d80b949db1c0f0fc1457a368ff90b424657b88c83c3",
"transactionId": "cfa617bf73e6aff47c8d66a8b58be6d8c1281581c18861a00a6ee0ef32068612",
"blockId": "545d11ac785322d8956006950ac451cb900ef4248186a224fcc5cceca84ea15c",
"value": 5010000000,
"index": 0,
"globalIndex": 37853391,
"creationHeight": 1218541,
"settlementHeight": 1218543,
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"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 2\n4: 1\n5: 1\n6: 0\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 0\n18: 0\n19: true\n20: 1\n21: 1000\n22: 0\n23: 2\n24: 10\n25: 2\n26: 0\n27: 0\n28: 0\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 0\n48: false\n49: 0\n50: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll6 = SELF.R8[Coll[(Coll[Byte], Long)]].get\n val coll7 = coll6(placeholder[Int](1))._1\n val i8 = box5.R4[Int].get\n val coll9 = SELF.R6[Coll[Long]].get\n val l10 = coll9(placeholder[Int](2)) - l2 - l4 / coll9(placeholder[Int](3)) * coll9(placeholder[Int](4))\n val coll11 = SELF.R7[Coll[Byte]].get\n val box12 = OUTPUTS.getOrElse(placeholder[Int](5), SELF)\n val coll13 = box12.tokens\n val coll14 = Coll[Byte]()\n val l15 = box12.value\n val tuple16 = (coll14, l15)\n val tuple17 = coll13.getOrElse(placeholder[Int](6), tuple16)\n val tuple18 = coll6(placeholder[Int](7))\n val coll19 = tuple18._1\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box20 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box20.tokens == SELF.tokens, box20.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box20.propositionBytes == coll1))\n )} else {(\n val box20 = box12\n val box21 = box20.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n val box22 = OUTPUTS.getOrElse(placeholder[Int](13), SELF)\n val coll23 = coll14\n val tuple24 = box22.tokens.getOrElse(placeholder[Int](14), (coll23, box22.value))\n val opt25 = box21.R4[Int]\n val bool26 = opt25.isDefined\n val coll27 = coll13\n val l28 = l15\n val tuple29 = tuple16\n val tuple30 = tuple17\n val box31 = OUTPUTS.getOrElse(placeholder[Int](15), SELF)\n val tuple32 = box31.tokens.getOrElse(placeholder[Int](16), (coll23, placeholder[Long](17)))\n allOf(Coll[Boolean](if (coll7.size == placeholder[Int](18)) { placeholder[Boolean](19) } else { (box21.R7[Coll[Byte]].get == coll7) && box21.tokens.map({(tuple33: (Coll[Byte], Long)) => tuple33._1 }).exists({(coll33: Coll[Byte]) => coll33 == coll7 }) }, INPUTS.filter({(box33: Box) => box33.propositionBytes == SELF.propositionBytes }).size == placeholder[Int](20), (tuple24._2 >= l10 * placeholder[Int](21) - i8 - if (bool26) {(\n val i33 = opt25.getOrElse(placeholder[Int](22))\n if ((i33 < placeholder[Int](23)) || (i33 >= placeholder[Int](24))) { i33 } else { if ((i33 == placeholder[Int](25)) && box21.R5[Coll[(Coll[Byte], Int)]].isDefined) { box21.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](26), {(tuple34: (Int, (Coll[Byte], Int))) => tuple34._1 + tuple34._2._2 }) } else { placeholder[Int](27) } }\n )} else { placeholder[Int](28) }.toLong / placeholder[Long](29)) && (tuple24._1 == coll11), ((box20.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple30._2 >= l10 * i8.toLong / placeholder[Long](30))) && (tuple30._1 == coll11), (((coll19 == tuple32._1) || (coll19.size == placeholder[Int](31))) && (tuple32._2 >= tuple18._2)) && (box31.propositionBytes == coll1), if (bool26) {(\n val i33 = opt25.getOrElse(placeholder[Int](32))\n if ((i33 < placeholder[Int](33)) || (i33 >= placeholder[Int](34))) {(\n val box34 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n val tuple35 = box34.tokens.getOrElse(placeholder[Int](36), (coll23, box34.value))\n ((tuple35._2 >= l10 * i33.toLong / placeholder[Long](37)) && (tuple35._1 == coll11)) && (box34.propositionBytes == box21.propositionBytes)\n )} else { if ((i33 == placeholder[Int](38)) && box21.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n val coll34 = box21.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n val i35 = coll34.size\n coll34.map({(tuple36: (Coll[Byte], Int)) => (tuple36._1, tuple36._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i35) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i35).map({(box36: Box) =>\n val tuple38 = box36.tokens.getOrElse(placeholder[Int](43), (coll23, box36.value))\n if (tuple38._1 == coll11) { (box36.propositionBytes, tuple38._2) } else { (coll23, placeholder[Long](44)) }\n })\n )} else { placeholder[Boolean](45) } }\n )} else { placeholder[Boolean](46) } && ((blake2b256(box21.bytes) == coll19) || (coll19.size == placeholder[Int](47)))))\n )} } else { placeholder[Boolean](48) }) && sigmaProp(box5.tokens(placeholder[Int](49))._1 == placeholder[Coll[Byte]](50))\n}",
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"assets": [],
"additionalRegisters": {
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"sigmaType": "(SLong, SLong)",
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},
"R6": {
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"sigmaType": "Coll[SLong]",
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},
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"sigmaType": "Coll[(Coll[SByte], SLong)]",
"renderedValue": "[[001ea2702652528ee36b6dba61ae6c23cadd95f20c4fbb6ff89706623f4447ae,1],[,0]]"
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
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"sigmaType": "Coll[SByte]",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc69a7,79f7c4,...)))}",
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