Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.04721392 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0014202 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
0.04569372 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.62 KB
Received time: 12/31/2025 12:38:24 AM
Included in blocks: 1,689,262
Confirmations: 86,264
Total coins transferred: 0.04821392 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000297 ERG
Raw Transaction Data
{
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  "inclusionHeight": 1689262,
  "timestamp": 1767141504550,
  "index": 10,
  "globalIndex": 10061486,
  "numConfirmations": 86264,
  "inputs": [
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      "ergoTreeConstants": "",
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      "additionalRegisters": {}
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  "dataInputs": [],
  "outputs": [
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(4,-45,107,-71,-49,-24,-84,-37,-19,6,-47,42,13,118,-105,16,-1,-94,-95,77,-87,26,-105,-112,119,124,-112,104,-128,-92,-36,-18)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(62,-20,75,88,66,-75,57,-101,-57,96,-12,-123,2,-97,91,66,82,39,115,78,-84,-45,125,11,-127,27,-66,41,72,67,9,-109)\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: 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: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: 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 - l16 / placeholder[Long](44)\n          val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n          ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n        )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n        val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n        val l20 = box19.value\n        val tuple21 = box19.R5[(Coll[Byte], Long)].get\n        ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (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](57) }))\n}",
      "address": "288sPH5gA8E3mjfSLMS9XwpidezLFR2DLrYv1Mc8n38RTBXQJEiQzcpWrF4BUDzAa5JtdjnwXvXRLf1LD6kAnLYHz7bYqmH3F4C2sd1butKQMUsGUsmMMpohp7RnrZLbz5iznrUtSarjYWhXF6AVFqoMNZhJrnXjhvXrYHWgJhPmypSCPgXcNJvd4Y3UjMVZFGraApraa7wdPVgipkpsHQQjShjMDmXKEdsdNJiVEfGhPmVNuPqv1h2xaEnLdnQdLHVuYLcYzhUAFWJUtS5MBVqxvVyXfkHhgC6odgbi3GwJbjkduQqqnUjCM3NLNETRNjw7yj43VJBqQSb12MFv1AC16osKgZp8CKCCeZQrCm6FXfNcktVTiostDJJ3RkejqnYmCeFAJu35E94ToCGcB3BAN5a76MPsCJTAGKjQyxNhHMAnBGihVLvwhVMyrPcTvx3rzUnMijt6yf2wGiPBQfg87RmvqWUUKJ2TWNqzfpQwETb4pqNs7XWnAFA4KiJZHyruHjhM3yDEGGrV2GEYQLSi3NWto9xm2H99ku71eYQXHZRxo8s88PC6y3gadxW2qwcVRnMftYARkq5ZTN7PzRZjEF8sUkYB6gbzxHXGaULjqbDBZ295RYZwn7LjwKnaBCGVG9Qr6bZ4BXNUcrsChZpLAs7GWY32wp42rvGWznoekBHW8PK65CD1zzneWkmYXZaCjY5DLrjUbKPxXawJxAkmq99a143mGfDZ4FtD9J9ZD7YcAKwBftgobN1r5JL9LNrGaCts5JEWG3pLeG8Kxc3NpMNYSxm2XZcdJEPEWJE4PDm9d7Cocp5zeWyYsTXXPWcFju4EnDnxdKcWfG3U96DjYSUHWi6hNsughbySvPBgRyxKVrrif4S2xSCrEWh8yTDWMRTmLUydbuS9YKP9wJ6mzkFie9XpRLLCSraRYug9ARPpBTPV4vURwfhqoKDrSff6kJVNwUiiBeSPTv36vXRE8y3JQp5MeKdczn8uTxPMHMbHWeFidkU5Qm46B9WhLxiLukb9mp4BABPCDQTVSL88PD4uJGefXQwaiHk8fzXBoXhoNQmjkjP6Acz9ceKgwRbXvzHQ2BM7moVHVyrgoBMQY9NJm4vy6SaSBJnXRNuhwZZHnKPex8CGH8eBfNMrSLExeg48uwacE9kta273ykUyQHwwWjX3s4Sz5JiKDtCsQcaK34SPPAPVNr5BYvUoPn1ghj6SLTeNHEmBmborEq1kFvdVZb5UDAk2GGgWRzYT9b3gjDPWKt2qz7KVM35hbMgjdGXAQxrpbSKwK8vGT5twuXCHKruDxrR66jENWVFTx1f67MqfroHQELPfxDS8vY1gW9CBsqRGjRubzugpaqMEMU4ErrnQpYXGmKkPCbCu2PbbFSkxteaKoYrXRvNfjGNhoUGprvDYB8DMcTdiPhyFdcccxp2bMDkaSBvK3dkGPYJ6Yur5DAdCBLMirtAU9hBuEFUhct8Fu6AB5FugjseJEY1wDbFTx2JEZLRRNK1rxHTeZxAVwbtipnGzBYDjQpXURYCEUj3AsLpHUAd6JVKkm4Xp55kaEawNZZcsQPYowBi6XSCZdgukoJyh2DotXACAnTP2G9xzMMQ1fEobKrgkUFKwzMVCSDmrtRM9gUbvitJF3jAtdLX2wZf7DdcXErqdfZ3uZMa39jm2JvCacxS6sNMGC1xaEwrdNzBK4C7A118kmNZnWUvVAToK7Dd443eBP2PzVbUVp2VLnLWMqbHjmW6Em45TWFnBjY698PukuAWAikkmA9uemMCifbMmZtGVaRLaDBJFYCnE2PjVTyjJ9DwvmtuKATbEXMF97Fx72VtXRsJFTeGmmH1q56HttuVfY6xDyP5M6JQP4P5EnYmSCfkRttxgu76L7wj34Puq9rAjtE9kwU17cgmdZ5K3",
      "assets": [
        {
          "tokenId": "b27631180ab21a6cb65a556d763a12c989504f62832f462d590af12b79f78b5f",
          "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": "4d0e086229d20039331a58dc9ace01",
          "sigmaType": "(Coll[SByte], SLong)",
          "renderedValue": "[6229d20039331a58,1689262]"
        },
        "R6": {
          "serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
        },
        "R8": {
          "serializedValue": "1105e49ace01e807c8010028",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1689266,500,100,0,20]"
        },
        "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": "83352cba439d1caa4c12d9fb76abb033ac79bfe890689fe6307e9dbb4fba9c03",
      "mainChain": true
    },
    {
      "boxId": "c70103b3001b5738985d164880de4fcce4413610fe4a2a3a06d78b51867f02d9",
      "transactionId": "95b5c9d61854986bdb521ee189ccf05a5384c92d85bbaebc275d929d28a4c82d",
      "blockId": "80c98610b73b87b76bffc7cdf757ab60023efb00b7520ab8b1e3b44a3ea2177e",
      "value": 1100000,
      "index": 1,
      "globalIndex": 52637971,
      "creationHeight": 1689261,
      "settlementHeight": 1689262,
      "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": "270a2f27dffd917300e5f64484fc2e9649b0c29988b9fb5fc33391cb6e8f62ee",
      "mainChain": true
    },
    {
      "boxId": "8d6794205d2ffec6d684148d0ca5fb4d4a57be8d97729f83ab73bba6a18e8368",
      "transactionId": "95b5c9d61854986bdb521ee189ccf05a5384c92d85bbaebc275d929d28a4c82d",
      "blockId": "80c98610b73b87b76bffc7cdf757ab60023efb00b7520ab8b1e3b44a3ea2177e",
      "value": 45693720,
      "index": 2,
      "globalIndex": 52637972,
      "creationHeight": 1689261,
      "settlementHeight": 1689262,
      "ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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