Transaction
ID: a4bc700ea0...64e0
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 572,103
Total coins transferred: 0.0021 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000061 ERG
Raw Transaction Data
{
"id": "a4bc700ea0d22caed8c054c2e198de423b5a96c38cea3de65705d5e36bfb64e0",
"blockId": "72fa9eb4a436e2a8c6d3ad13641c6f37317fbeb2f453f5a50e7b75aa70d9f58b",
"inclusionHeight": 1185916,
"timestamp": 1706213689382,
"index": 3,
"globalIndex": 6525103,
"numConfirmations": 572103,
"inputs": [
{
"boxId": "3fb9e31e90a7e5ad3e8bb7930d95716ab1421fcfb3b79e7bbec6b4c185ab260c",
"value": 2100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8e796fa35db1ba6411a69dbb93e8c7513ac4d8b69c046b12637284f9ff0423bb",
"outputTransactionId": "7fa8c0a91d8e430027b5c12e090681d43316663736d95246151ec7c9780da578",
"outputIndex": 0,
"outputGlobalIndex": 34904418,
"outputCreatedAt": 1151699,
"outputSettledAt": 1151701,
"ergoTree": "1051040604060400040c05000400040004020400040404000500060203e806030f4240040404000400040405a09c01040805a09c0105000500050005c80105e80705d00f05a01f05c03e05d08c010590cb0105c0b80205e0d4030580f10405a08d0605e0c50805e0b60d05c08b1105a0e01405a0d11905a0c21e05c0cf2405c0843d0580897a0580dac409050205000502040005000402060101060100050804000480acc99dfdffffffff010601000402060302b5b00601010402050004040480deada90105a09c010602271004000e20a62a1603bae6c0d293f7b954672de6fa8eae9793d433cb02ee49dce736da54ac0e20007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c2830580897a05000100040404040406040604080100050004040100d818d601e4c6a70408d602db6903db6503fed603e4c6a70563d604e4c672030811d605b27204730000d606e4c6a70611d607997205b27206730100d608b2a5730200d609c27208d60ab27204730300d60bc57203d60c86028300027304d60db2db6308a7730501720cd60eb2db63087208730601720cd60f8c720e02d610e4c6a7070ed611c1a7d612b2db6308b2a5730700730801720cd6138c720d02d614d07201d615b27204730900d61693b27204730a00730bd617730cd618730deb027201d1ec95eded907202720793b1a4730e91b1db6501fe730fd810d619b2db6501fe731000d61adb63087219d61bb2721a731100d61c997213720fd61d9dc172199d8c721b027312d61e9cb272047313007314d61f957216a273159c99721d721e7215a273169c99721e721d7215d620831605731773187319731a731b731c731d731e731f7320732173227323732473257326732773287329732a732b732cd621dc0c1dad7220d90121059c72217221017220d622d9012205d802d624dc0c1aad7221d901245995928c7224017222732d732e02732f7330d625b2722172240095917e7224057331d803d626b27221997224733200d6278c722602d6288c722601a273339a7e7227069d9c7e998c7225027227067e9972227228067e998c7225017228067334d623da7222019972057202d6249d9c9c9c7e9c7335b27206733600067e7215067e721e0672237e733706d625a273389972249d9c9c9c72247eb2720673390006da722201a299721d721e99721e721d733a9c9c7217da722201721ea2733b7223d6269593b27204733c00733d9a7e721f0672259a7e721f069a72259d9c9c72257eb27206733e000672237e733f06d627a272189972269e72267e734006d6289d9c7e721c06957216a17e9c721d7215067227a17e9c721e72150672277341ededededededededed938cb2721a734200017343938c721b01734495937209c2a7edededededed93720b8c720d0192c172089a720a7345ec938c720e01720b93720f734693e4c672080408720193e4c672080563720393e4c672080611720693e4c67208070e7210734793c172087211938c721201720b938c721202721c93c2b2a57348007214927ec1b2a573490006a27218722893c2b2a5734a007210927ec1b2a5734b0006a272189d9c72287eb27206734c00067217734d95ec9172027207937213734eededed937209721492c17208997211720a93720e720d93b1a5734f7350",
"ergoTreeConstants": "0: 3\n1: 3\n2: 0\n3: 6\n4: 0\n5: 0\n6: 0\n7: 1\n8: 0\n9: 2\n10: 0\n11: 0\n12: CBigInt(1000)\n13: CBigInt(1000000)\n14: 2\n15: 0\n16: 0\n17: 2\n18: 10000\n19: 4\n20: 10000\n21: 0\n22: 0\n23: 0\n24: 100\n25: 500\n26: 1000\n27: 2000\n28: 4000\n29: 9000\n30: 13000\n31: 20000\n32: 30000\n33: 40000\n34: 50000\n35: 70000\n36: 110000\n37: 140000\n38: 170000\n39: 210000\n40: 250000\n41: 300000\n42: 500000\n43: 1000000\n44: 10000000\n45: 1\n46: 0\n47: 1\n48: 0\n49: 0\n50: 1\n51: CBigInt(1)\n52: CBigInt(0)\n53: 4\n54: 0\n55: 1775840000\n56: CBigInt(0)\n57: 1\n58: CBigInt(177584)\n59: CBigInt(1)\n60: 1\n61: 0\n62: 2\n63: 177584000\n64: 10000\n65: CBigInt(10000)\n66: 0\n67: Coll(-90,42,22,3,-70,-26,-64,-46,-109,-9,-71,84,103,45,-26,-6,-114,-82,-105,-109,-44,51,-53,2,-18,73,-36,-25,54,-38,84,-84)\n68: Coll(0,127,-42,77,30,-27,77,120,-35,38,-100,-119,48,-93,-126,-122,-54,-94,-115,63,41,-46,124,-83,-53,121,100,24,-85,21,-62,-125)\n69: 1000000\n70: 0\n71: false\n72: 2\n73: 2\n74: 3\n75: 3\n76: 4\n77: false\n78: 0\n79: 2\n80: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val l2 = CONTEXT.preHeader.timestamp\n val box3 = SELF.R5[Box].get\n val coll4 = box3.R8[Coll[Long]].get\n val l5 = coll4(placeholder[Int](0))\n val coll6 = SELF.R6[Coll[Long]].get\n val l7 = l5 - coll6(placeholder[Int](1))\n val box8 = OUTPUTS(placeholder[Int](2))\n val coll9 = box8.propositionBytes\n val l10 = coll4(placeholder[Int](3))\n val coll11 = box3.id\n val tuple12 = (Coll[Byte](), placeholder[Long](4))\n val tuple13 = SELF.tokens.getOrElse(placeholder[Int](5), tuple12)\n val tuple14 = box8.tokens.getOrElse(placeholder[Int](6), tuple12)\n val l15 = tuple14._2\n val coll16 = SELF.R7[Coll[Byte]].get\n val l17 = SELF.value\n val tuple18 = OUTPUTS(placeholder[Int](7)).tokens.getOrElse(placeholder[Int](8), tuple12)\n val l19 = tuple13._2\n val coll20 = prop1.propBytes\n val l21 = coll4(placeholder[Int](9))\n val bool22 = coll4(placeholder[Int](10)) == placeholder[Long](11)\n val bi23 = placeholder[BigInt](12)\n val bi24 = placeholder[BigInt](13)\n prop1 || sigmaProp(if (((l2 <= l7) && (INPUTS.size == placeholder[Int](14))) && (CONTEXT.dataInputs.size > placeholder[Int](15))) {(\n val box25 = CONTEXT.dataInputs(placeholder[Int](16))\n val coll26 = box25.tokens\n val tuple27 = coll26(placeholder[Int](17))\n val l28 = l19 - l15\n val l29 = box25.value / tuple27._2 / placeholder[Long](18)\n val l30 = coll4(placeholder[Int](19)) * placeholder[Long](20)\n val l31 = if (bool22) { max(placeholder[Long](21), l29 - l30 * l21) } else { max(placeholder[Long](22), l30 - l29 * l21) }\n val coll32 = Coll[Long](placeholder[Long](23), placeholder[Long](24), placeholder[Long](25), placeholder[Long](26), placeholder[Long](27), placeholder[Long](28), placeholder[Long](29), placeholder[Long](30), placeholder[Long](31), placeholder[Long](32), placeholder[Long](33), placeholder[Long](34), placeholder[Long](35), placeholder[Long](36), placeholder[Long](37), placeholder[Long](38), placeholder[Long](39), placeholder[Long](40), placeholder[Long](41), placeholder[Long](42), placeholder[Long](43), placeholder[Long](44))\n val coll33 = coll32.map({(l33: Long) => l33 * l33 }).zip(coll32)\n val func34 = {(l34: Long) =>\n val i36 = coll33.map({(tuple36: (Long, Long)) => if (tuple36._1 >= l34) { placeholder[Long](45) } else { placeholder[Long](46) } }).indexOf(placeholder[Long](47), placeholder[Int](48))\n val tuple37 = coll33(i36)\n if (i36.toLong > placeholder[Long](49)) {(\n val tuple38 = coll33(i36 - placeholder[Int](50))\n val l39 = tuple38._2\n val l40 = tuple38._1\n max(placeholder[BigInt](51), l39.toBigInt + tuple37._2 - l39.toBigInt * l34 - l40.toBigInt / tuple37._1 - l40.toBigInt)\n )} else { placeholder[BigInt](52) }\n }\n val bi35 = func34(l5 - l2)\n val bi36 = placeholder[Long](53) * coll6(placeholder[Int](54)).toBigInt * l21.toBigInt * l30.toBigInt * bi35 / placeholder[Int](55).toBigInt\n val bi37 = max(placeholder[BigInt](56), bi36 - bi36 * coll6(placeholder[Int](57)).toBigInt * func34(max(l29 - l30, l30 - l29)) * placeholder[BigInt](58) / bi23 * func34(l30) * max(placeholder[BigInt](59), bi35))\n val bi38 = if (coll4(placeholder[Int](60)) == placeholder[Long](61)) { l31.toBigInt + bi37 } else { l31.toBigInt + bi37 + bi37 * coll6(placeholder[Int](62)).toBigInt * bi35 / placeholder[Int](63).toBigInt }\n val bi39 = max(bi24, bi38 - bi38 % placeholder[Long](64).toBigInt)\n val bi40 = l28.toBigInt * if (bool22) { min(l29 * l21.toBigInt, bi39) } else { min(l30 * l21.toBigInt, bi39) } / placeholder[BigInt](65)\n (((((((((coll26(placeholder[Int](66))._1 == placeholder[Coll[Byte]](67)) && (tuple27._1 == placeholder[Coll[Byte]](68))) && if (coll9 == SELF.propositionBytes) { ((((((coll11 == tuple13._1) && (box8.value >= l10 + placeholder[Long](69))) && ((tuple14._1 == coll11) || (l15 == placeholder[Long](70)))) && (box8.R4[SigmaProp].get == prop1)) && (box8.R5[Box].get == box3)) && (box8.R6[Coll[Long]].get == coll6)) && (box8.R7[Coll[Byte]].get == coll16) } else { placeholder[Boolean](71) }) && (box8.value == l17)) && (tuple18._1 == coll11)) && (tuple18._2 == l28)) && (OUTPUTS(placeholder[Int](72)).propositionBytes == coll20)) && (OUTPUTS(placeholder[Int](73)).value.toBigInt >= max(bi24, bi40))) && (OUTPUTS(placeholder[Int](74)).propositionBytes == coll16)) && (OUTPUTS(placeholder[Int](75)).value.toBigInt >= max(bi24, bi40 * coll6(placeholder[Int](76)).toBigInt / bi23))\n )} else { placeholder[Boolean](77) } || if ((l2 > l7) || (l19 == placeholder[Long](78))) { (((coll9 == coll20) && (box8.value >= l17 - l10)) && (tuple14 == tuple13)) && (OUTPUTS.size == placeholder[Int](79)) } else { placeholder[Boolean](80) })\n}",
"address": "DfVFCdP3wxHvs1T6zV3UaL1RWXGbVUouKbBja63RCjur5imaiNUSPWh4DJUzkQ74FK9exj66xjtRYwtYtndzyJZWvbAPjML1znXQZ8S3hVTNBfHXmyZvCpK3oSdproRWHQBHYtPsxDqtFoqdwLPqo7B2fpjUxoPksRpimGzqWUkQpPb79NW6B8H9qr7ktmfpy864YgMDcXZAQPoTVZRPsozRaB7UJ3xbgVmFfGfkivF9Zm6FCWHe76M9rjFGoZjZbEZWSv1pyn2XhGMZhQYPYysMToaEKrgXZwnvkejzWdt2jk7PYbzCeVGQ3vaTrgvZWfMuMxwTiFiRKxb55gkNbcSnojSDzk91mA55CV42K6HtijTjn4JukcwafcfsM26N6eD8s9a5wDhtVFNy6XSU54nvkWo4AcSijRL8hHwAHS2LyhgjDmExQc384TtXhjjmKUqBKumJw77gFX7H7vitSPpSejHLJ7AaNtoZEaVhPEVUnSgTLizkfCEZkSsAufXpRVgHNWtyFRwSqraDfUBkuTgDBYE17N9efhNA5tHAQDKBkFxofR4cQL9veBMPCJSSAPieoXjo5a8J1NXZuyAiub53J2J8g8FBkHtesNZRuEzLQYUtDmDfXhjBSxDV8GDa4eVgbX2FyPddAfen79vXUKWDEzAVnDkHezvmmJSd24in5vYCuhPDhBXvBcXt4NL6MmH5gHcUWzWEcj9pXvs5E2tuFhPJGbyVGqJkqVcAMX6dTA2Y5Y25CHPU9W4SVo7d78avDa1G23nGhGzf59BBQPJiDeCs7Mo5qS7PX6RFFeKtwEnzvhh4vmzbXNcSpE9wvpZyaPaiscmjurti9djNMd74zecbii9bgUKEyh913ze79xcYZ7s1DZEj65u9vHgVmMUbyfzBhnc5FpwpdQF999DEdioYhJ2gioYxA97gLbmzHjqxFt59Gr1STcn9UeDsiwg7rJJRu34DNxbmSa8x51kBQYCFQ5ZQ7izJzk5FVAaNkurJ9wh8tUC8iXzqd1o33rpEb84jrNJdxnkB1JHo6PrkWfHxQ2LvAZSTPS2W9EmmS2qPF5i2Hegd5Mt4zzCSsdAQYBJG2DDoDAyMskZPLqfJ6sgS1i5rRV84CiGsvhoJg6d7xZc6px7oCpxpnMU3iGRm6Z5avWo4dJBbUYRvdtiASxzqz1UqZJA5SGZ5iad6xmQ61dSGT7RpSWnXZ8Cw5nNicUD4YxYy5fckVSZ3qkt8BxBsB2r5Q3x4ZVKMMe9oPE32mgY5YPqVyXnanz4LubBFhKmC4LoyHLxRjuSkvMpBwN8usbwTj87zp4sxomMtcEhKsagTpSg5Qvms46ERpLdsiywQAhLkiMEeychcZtVhXTTPdE2sTVPaaR21uALrLWwsWsss1awugG3eZFdR8oAZF9TTdAjTMViMcuh3GxzhmgoxEeWPuv6TyzkpWQkAZVCafnchPJxa9QfWZ6Z6rt7gAry6d5eHWkm3Qx6aQ5DCaA6JMrjufubGJJK12mHRnEvjU6xNj2PZzj8y6WhSSh3L4ADDLhvprwUT2udQHPgMZmGf5X2oBXyNj9hAmYJi8mdHeHfF6LAAaDmEduWtDGmzy8778Txy1ZT1SjE2Hqhwb5figyFvfMtTY9wdv3nQ7Gws8",
"assets": [
{
"tokenId": "0975373a7fbf3260c2c7404d30243eb1b05453064a46197289d61924ac3aed12",
"index": 0,
"amount": 15000000,
"name": "Call_A_EXLE_ERG_2000000_2024-01-26_per_100",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd03ca1f36040be9c607b6fb39332856e534e297968617d32684de5fc7c76cc498cf",
"sigmaType": "SSigmaProp",
"renderedValue": "03ca1f36040be9c607b6fb39332856e534e297968617d32684de5fc7c76cc498cf"
},
"R5": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1105e807f80ac80180e8dd0d04",
"sigmaType": "Coll[SLong]",
"renderedValue": "[500,700,100,14400000,2]"
},
"R7": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8eb5076b690852da115330bad54b8032e9387d4b1cc9e9ecc299846e09cd2768",
"transactionId": "a4bc700ea0d22caed8c054c2e198de423b5a96c38cea3de65705d5e36bfb64e0",
"blockId": "72fa9eb4a436e2a8c6d3ad13641c6f37317fbeb2f453f5a50e7b75aa70d9f58b",
"value": 1000000,
"index": 0,
"globalIndex": 36401264,
"creationHeight": 1185914,
"settlementHeight": 1185916,
"ergoTree": "0008cd03ca1f36040be9c607b6fb39332856e534e297968617d32684de5fc7c76cc498cf",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ca1f36,a503cd,...)))}",
"address": "9hzpdBFpJw5A8fTupGUF386cdwd4A2pKmNweRFeBj22oJiMmzMg",
"assets": [
{
"tokenId": "0975373a7fbf3260c2c7404d30243eb1b05453064a46197289d61924ac3aed12",
"index": 0,
"amount": 15000000,
"name": "Call_A_EXLE_ERG_2000000_2024-01-26_per_100",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd03ca1f36040be9c607b6fb39332856e534e297968617d32684de5fc7c76cc498cf",
"sigmaType": "SSigmaProp",
"renderedValue": "03ca1f36040be9c607b6fb39332856e534e297968617d32684de5fc7c76cc498cf"
},
"R5": {
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},
"R6": {
"serializedValue": "1105e807f80ac80180e8dd0d04",
"sigmaType": "Coll[SLong]",
"renderedValue": "[500,700,100,14400000,2]"
},
"R7": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
}
},
"spentTransactionId": "0ca694392c03e85b167d14da17028e466275396087cd1cb05834f76e7faa6117",
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},
{
"boxId": "844d5d37e0e8810761306a429248af5ecdbaece2b3e5aba3c02d2219c4891e3f",
"transactionId": "a4bc700ea0d22caed8c054c2e198de423b5a96c38cea3de65705d5e36bfb64e0",
"blockId": "72fa9eb4a436e2a8c6d3ad13641c6f37317fbeb2f453f5a50e7b75aa70d9f58b",
"value": 1100000,
"index": 1,
"globalIndex": 36401265,
"creationHeight": 1185914,
"settlementHeight": 1185916,
"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",
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"spentTransactionId": "f5cf030c24c5dee94aab5771b131b53a54fdfc922a545d55e41b2f359565f3c1",
"mainChain": true
}
],
"size": 1803,
"isUnconfirmed": false
}