Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.28665768 ERG
Tokens:
Loading assets...
Outputs (3)
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
0.28455768 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.28 KB
Received time: 12/7/2025 05:55:49 PM
Included in blocks: 1,672,623
Confirmations: 98,036
Total coins transferred: 0.28665768 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000327 ERG
Raw Transaction Data
{
  "id": "c19df572e6b4e9bb412be65b45b77ef4a6b213e121b9507288da7ff12b1aff75",
  "blockId": "59b8331946f77ef5028dfd689ade23c97cccbc7f09f6ca7ee4bede44eea9acba",
  "inclusionHeight": 1672623,
  "timestamp": 1765130149717,
  "index": 12,
  "globalIndex": 9927929,
  "numConfirmations": 98036,
  "inputs": [
    {
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      "spendingProof": "051975ee6ed62296325b19c337cb3c12cadf7ef0699d8b3f6366be870af731031bc3627b331d81b10bbeefa51054d756e9df326e3204bc07",
      "outputBlockId": "16440594da75c9bfb3d4a91de8dba714e846ff053874519b812377a8ef219b26",
      "outputTransactionId": "e299663c493edd510747edbc9a2d75f740578db22ae8b846180033565079bf26",
      "outputIndex": 2,
      "outputGlobalIndex": 52088533,
      "outputCreatedAt": 1672307,
      "outputSettledAt": 1672309,
      "ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
      "address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
      "assets": [
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      "additionalRegisters": {}
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  "dataInputs": [],
  "outputs": [
    {
      "boxId": "1161c1423b22af5557b2e6eca922558398795c543f5aac837d9d3568d562c3e3",
      "transactionId": "c19df572e6b4e9bb412be65b45b77ef4a6b213e121b9507288da7ff12b1aff75",
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-21,79,82,-113,-101,116,34,-68,96,-59,-108,-101,-127,-67,-101,52,110,26,-69,94,-90,-25,108,-38,6,-9,54,-51,-25,-35,43,103)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-116,44,4,10,-127,-73,13,-5,2,-104,-84,5,67,23,-101,-53,13,-60,17,126,6,-118,85,-15,-88,-123,-120,-123,-74,-84,-22,-30)\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: 30\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 2\n50: 30\n51: 1\n52: 1000000\n53: 1000000\n54: false\n55: 0\n56: 0\n57: 0\n58: 1000000\n59: 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 = Coll[Byte]()\n  val coll8 = SELF.tokens(placeholder[Int](2))._1\n  val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n  val coll10 = tuple9._1\n  val l11 = coll3(placeholder[Int](3))\n  val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n  val coll13 = coll12(placeholder[Int](4))\n  val bool14 = coll13 == coll7\n  val func15 = {(box15: Box) =>\n    if (bool14) { box15.value } else {\n      box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n        placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n      )\n    }\n  }\n  val l16 = coll3(placeholder[Int](6))\n  val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n  val l18 = tuple9._2\n  sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n          val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n          if (coll19.size == placeholder[Int](8)) {(\n            val box20 = coll19(placeholder[Int](9))\n            val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n            val coll22 = tuple21._1\n            val coll23 = tuple21._2\n            if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n              val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n              if (coll24.size == placeholder[Int](12)) {(\n                val box25 = coll24(placeholder[Int](13))\n                val coll26 = box25.R9[Coll[Long]].get\n                ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n                        val bool29 = tuple27._1\n                        if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n                      }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n              )} else { placeholder[Boolean](17) }\n            )}) {(\n              val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n              val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n              ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\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 box19 = OUTPUTS(placeholder[Int](43))\n          val l20 = l16 / placeholder[Long](44)\n          val l21 = l16 - l20\n          val l22 = if (bool14) { if (l21 < placeholder[Long](45)) { placeholder[Long](46) } else { l21 } } else { l21 }\n          (((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l22)) && (box19.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll8 }).size == placeholder[Int](48))) && (box19.R4[Int].get == placeholder[Int](49))) && (box19.R5[Long].get >= l2 + placeholder[Long](50))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l22)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)) && (func15(OUTPUTS(placeholder[Int](51))) >= if (bool14) { if (l20 < placeholder[Long](52)) { placeholder[Long](53) } else { l20 } } else { l20 })\n        )} else { placeholder[Boolean](54) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](55))) {(\n        val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](56))\n        val l20 = box19.value\n        val tuple21 = box19.R5[(Coll[Byte], Long)].get\n        ((((((((box19.tokens(placeholder[Int](57))._1 == coll8) && ((l20 >= placeholder[Long](58)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n      )} else { placeholder[Boolean](59) }))\n}",
      "address": "zaZD7k8QNpW1FvJx66fFWaXRpSdr8vxqv6YophB5NuTxLNDM6LFfx2Skqmv14B4SME9sWR1g4tE9KGG9mT8AHHNfzrEhQN4UG6ZQevs57xV8eiufMJWVY4QXewSyGN8FSx83ywt4kEd9dLq56a8hfctpPyytfuoAbs5JAXHRLR565jv8HkiAWXuFBpUmR4uHw43hthsoG6aLYsLWrfHEGFHUr91Y5Q8MjFDU84sXMigb4PrQ5Nuq5Lkk9zvD1mchBViyheBwLaTLHVPyQLYxM2BDToGP4KJAgr422bP6C4YS1N1iaXrUWLDzrrvbqoVfQMx87VAW5STTW3JgcX8onuR7DazKiMdYL3EPcF4PTaZmJJSwKMdX3FkHvwSKvMjmyZajBfxzJ853YV3U5GeQJgwgBVuoKp1p9MzHdXuzNrYiBtzCJp3fs99UbAWQR1YQSVrFDGFSQZhYcfmP4gAEnnaiLQQRzFqNSUPdVY2Tmb4Kjsz2oGbeE3PZ93zMD1d8brvdvHH7TP1HXhbYyh3PjaYo9p2KvEGmaHHP6PLhJYwas6kkDxSDvPbZMX4qCnARiBLVZht46eXZ6bramrn4aY5HfZUX21nMYQBWtHLvUVVU58QBYtjXNvdVAivAX5Y3Do5KQrkFpaEbh8qcT8pjoX3dJY4HPmLYddg1zctrGDiBtDCqscBaUTmWf9eyi28bWhSa28tmwimKDXczXAwRRoCbDgxkakS6c6Jh8tTV7dBTWCe5DM1HG2bbDXrzuoduTq51bY8cK1ae5SopfjRtv6jAwYsSoypSkNwspEpEy5yMMHkcnrLyzZq5fT7V1rw33QDXjCKd5fXh6F4rSv4DWuSmQmyMqW2iSKXWzz6QEH9qQ7sZSvPBR4YZjyvhtkWmew6WpvUw5K71LGQRVKcu99D8vZeYCgSid2kTUSC2WDLT2g9Xi9zSjYi6LqK67dBNfxtrNiAkaF5yiU2bwMT2U6y17PCrKMpEVWwXZh8nYeqH8RX8e2WKMH4vduAtcQRqTCkbzdGET8YAoAo2RgPKxR6E5TwfvGDV5HepjGpJVQhoJhHE9GWHzqLHSr4Tk1dp6kkFJvvo7vX5DgeWXgtr9gSJYWnGF9y51EE4tcaMFQ6NNLjVW5XeR5V8AN9Eetn9y64n5QBcydYPYLD2tDuSR3vwjMMCHb48pEEcRfhfoFMFE6PBEpY7TqpBpKNF3UWSgFYmN82E83ZEunmeKQqT5Mo6DJTeEjqvAkxMj9cpXUQ8noMNQ91PjsdLhvkuKDPtZybFbnzu4uCCn95HED9VieyZi7sdUW3mXWZ4jAuvoEbY2aqVhTUyzf68vE1XaAkgCGjsagcYm5vwZtn545x5bvP6htW729fC8iTFYwqEHDxGDm7fjMUvPLH8dPyKYan123MMnpoUunGQsPd6w9CGfd4kxdSG4dF6nyvGGnj2EEX4fS5mqhGd2R8tL3Heq4GMm6QkjuDcb3Zo4QvSVegJJkXJybLSoCV5ummewBYabXGNh3eK5sxJsa424ZhSfbGJL8W6xoqFUac1oucqVqvoC6i4am3XaY6rMkcXcBeFvmFacnDPcwp6RCQeDsuMB7Wve8CmFvA9M6mTmeAqZCpb9QGdf3NRXqopSG3CNdim6BtpwXKfua7MQDPwS9B3cybdUXqt7Noq1oEDzM4eh6XgUxutWwEvzsj3FuHaJZL8pwxp8hAxUVFSzt9WLXjU9nrDf8ywyh7JynVNqTSWL8PFUTcyjh8qQaVrSEJeWQYwnzpFgJfXrETzHqNmhtfN2oFQuwdANmhnVcCXHXhFFyG4biuBGGUxVAHKnzygwP6eaK2My8sJywxSSpqp3cg7Yrs92F6xfNnqLwAJoX3yd9eo9sFVbcQZrUS7gpeBqPVNmu48vuuFbiKU1UACzuZo8xAyowVvkKdc95xmN4tB8CHAsGNhjiEHj12tvWfNXTy8",
      "assets": [
        {
          "tokenId": "e673f2247e7385754cbb667b80d972c3297bc2b619f66a6e668ace6b3ca4e417",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
          "index": 1,
          "amount": 500,
          "name": "CAT",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "4d0e08346bfb7c03e517b68497cc01",
          "sigmaType": "(Coll[SByte], SLong)",
          "renderedValue": "[346bfb7c03e517b6,1672642]"
        },
        "R6": {
          "serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
        },
        "R8": {
          "serializedValue": "1105e696cc01e807f0010028",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1672627,500,120,0,20]"
        },
        "R7": {
          "serializedValue": "1a00",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[]"
        },
        "R9": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
        },
        "R4": {
          "serializedValue": "0400",
          "sigmaType": "SInt",
          "renderedValue": "0"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e18ce41fc5dcd81f6a8af49a7bf9e935b6eecce238b25434d418cb7e389b32b4",
      "transactionId": "c19df572e6b4e9bb412be65b45b77ef4a6b213e121b9507288da7ff12b1aff75",
      "blockId": "59b8331946f77ef5028dfd689ade23c97cccbc7f09f6ca7ee4bede44eea9acba",
      "value": 1100000,
      "index": 1,
      "globalIndex": 52098074,
      "creationHeight": 1672622,
      "settlementHeight": 1672623,
      "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": "5a663d678b0feba5f0c18731150b6420d989ce3a9732c965aa5e28af5f492918",
      "mainChain": true
    },
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