Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
8.33 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.25 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
8.07 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.5 KB
Received time: 1/15/2023 02:46:28 PM
Included in blocks: 918,869
Confirmations: 838,329
Total coins transferred: 8.33 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000279 ERG
Raw Transaction Data
{
  "id": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
  "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
  "inclusionHeight": 918869,
  "timestamp": 1673793988050,
  "index": 19,
  "globalIndex": 4620093,
  "numConfirmations": 838329,
  "inputs": [
    {
      "boxId": "d6790a530dfd498af4b649bb094ce043156ab7d0770fae5ffa77cb8f4ea0a03f",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "80a35394af0ba3e6b7191fb904a1433b14b05cb48886fb845fc2f2c7fe07faef",
      "outputTransactionId": "1cb1951948d9b745086cb8e51f57e615b9cdea2ebcff81b6f063af21471a966c",
      "outputIndex": 0,
      "outputGlobalIndex": 25642478,
      "outputCreatedAt": 918857,
      "outputSettledAt": 918859,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](2))\n  val coll7 = tuple6._1\n  val bool8 = coll4 == coll7\n  val box9 = OUTPUTS(placeholder[Int](3))\n  val coll10 = box9.R4[Coll[Long]].get\n  val coll11 = SELF.R4[Coll[Long]].get\n  val l12 = tuple6._2\n  val coll13 = box9.tokens\n  val tuple14 = coll13(placeholder[Int](4))\n  val l15 = tuple14._2\n  val l16 = CONTEXT.preHeader.timestamp\n  val l17 = tuple3._2\n  val coll18 = placeholder[Coll[Byte]](5)\n  val tuple19 = coll13(placeholder[Int](6))\n  val tuple20 = coll5(placeholder[Int](7))\n  val l21 = coll11(placeholder[Int](8))\n  val bool22 = allOf(\n    Coll[Boolean](\n      box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n        placeholder[Int](9)\n      ) == l21, coll13.size == placeholder[Int](10)\n    )\n  )\n  if (bool8) {(\n    val tuple23 = coll2(placeholder[Int](11))\n    val l24 = tuple23._2\n    val l25 = coll11(placeholder[Int](12))\n    val coll26 = box1.R4[Coll[Long]].get\n    val coll27 = box1.R5[Coll[Byte]].get\n    val box28 = OUTPUTS(placeholder[Int](13))\n    val tuple29 = box28.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n            placeholder[Int](18)\n          ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n            Long\n          ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n            placeholder[Int](26)\n          ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n            29\n          ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n        )\n      )\n    )\n  )} else {(\n    val box23 = INPUTS(placeholder[Int](32))\n    val coll24 = box23.tokens\n    val tuple25 = coll24(placeholder[Int](33))\n    val coll26 = tuple25._1\n    if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n      val box27 = INPUTS(placeholder[Int](36))\n      val coll28 = box27.R4[Coll[Long]].get\n      val l29 = coll11(placeholder[Int](37))\n      val l30 = coll10(placeholder[Int](38))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n              placeholder[Int](43)\n            ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n              placeholder[Int](48)\n            ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n          )\n        )\n      )\n    )} else {(\n      val l27 = coll11(placeholder[Int](50))\n      val l28 = coll10(placeholder[Int](51))\n      if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n        val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n              val coll33 = tuple31._2.tokens\n              val l34 = tuple31._1\n              if (coll33.size == placeholder[Int](54)) { l34 } else {(\n                val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n                val i36 = coll35.size\n                if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n              )}\n            }) }\n        val l30 = func29(INPUTS)\n        val l31 = func29(OUTPUTS)\n        val coll32 = box23.R4[Coll[Long]].get\n        val l33 = coll32(placeholder[Int](59))\n        val l34 = l16 - l33 / placeholder[Int](60).toLong\n        val l35 = l27 - l28\n        val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n          if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n            if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n              if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n                l35 * placeholder[Long](72) / placeholder[Long](73)\n              }\n            }\n          }\n        }\n        val box37 = INPUTS(placeholder[Int](74))\n        val l38 = coll32(placeholder[Int](75))\n        val l39 = coll11(placeholder[Int](76))\n        val tuple40 = coll24(placeholder[Int](77))\n        val l41 = tuple40._2 - l35\n        val bool42 = l41 == placeholder[Long](78)\n        val coll43 = tuple40._1\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n                {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n              ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n                placeholder[Long](84)\n              } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n                placeholder[Long](88)\n              } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n                90\n              )) {(\n                val box44 = OUTPUTS(placeholder[Int](91))\n                val coll45 = box44.tokens\n                val tuple46 = coll45(placeholder[Int](92))\n                val tuple47 = coll45(placeholder[Int](93))\n                val coll48 = box44.R4[Coll[Long]].get\n                allOf(\n                  Coll[Boolean](\n                    box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n                      Long\n                    ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n                  )\n                )\n              )} else { placeholder[Boolean](97) }\n            )\n          )\n        )\n      )} else { sigmaProp(placeholder[Boolean](98)) }\n    )}\n  )}\n}",
      "address": "HuZkzWnQP2rj9xsAmg5FjdMcefZFGtZwu47PZ7ygTZsYxfwuf7Rjb8WgCLBHaJMtdpmxU5p6fu5Ekd2qaLXCh7KmLFB7U1o9TZa2txdt4XBx6XixdsCkweZvkPZfzjptzvvFWXdVav8HxpveLA7rc5Mbxptr121YhhwaGjcELsVHpTv9Ys8cJNdjoRdfhrQwDM3HTstT4BtB3okpfrXFETWAbDnW5EXk2RxV3ajswnkpoogUkTYq5wx5TeNXREBtBV6NUavr1fxix4QRcLMAH4JDKX5zULBPXgQtGxe5cgFLVGshqrTSL1VttBUhTHcgUcJZQ94RTyukzAynizjQFWoaAMmU1P7C5wFUZ7mGHxBk2HAW9cuYNSXE6DqT8WQgN4TrehH3R2XvtghNgdbHKgbAyLV4DS4yiav3hgTxMk3tU4UgRmpnBNHLa7zWQUtUZgo3o9kXtnTr556WoJshmxZT61JugJnh61GKHsPSceNnsRUCAd3DHNUjRTvt5M7xvHt7TrTmNb3iij2nd4NRyF44HXXeTgWD1equE2rfQaFMYg8NpqDyjCxQiY4gFkfgw4hMEgTDvxh9YLgST6HDbwVWqGaRsC1HeCNAnti2R5qcZ9GZ8Fykz2w5GtkgfEQ1G1AH1GaYc1B3W3HsCwLxUDbKJUPmZjrQZKqY6TXY8eqjgdXpcDn4vywKZ6SijFz7NyXXtTshZTuaipcNYZWettkgkowTbLXBW8aF7sLcgFVTHKEUcBPhZoUNWwV7kMiVyXdJ9gcbcZkTJP2kwS9SNMx8r6VJPh14crfjZnpPdX9ReKt1CganYXtVViTEJUS7Skj5hMsmgPJgMFTFQ8bmYXwJpGCYd4iVgZcrURW9wBG6Tj6bHA3e45zg1CZZGfmrcL2KiQivJcHyjo1zx5zYsph5kjBE5uWQMQioRjn9sFBLRvhJKxV6zbgTwmELT1ypPMHq65Ydx1UkNLt9jEmkhM1j8BBVmqmWhnUCVPDC5biCt31pN3VBxb5eqtaTuCzApXkQbw32U3gcG5EY9SP4aZg5PVNQvvE2kswKBYmc11MRXLTFUEoCt8wWFw8b4ph6mxsbBguzpwiWBw46atUCn6JeXrq8sFnXMa55bjE7edsiLiGgqtKnAo3u3DKXGBswCqL8cXbW9LkXfpNpM2PXQE4Vs4SbSdukFFYbVkBi7z4oPBvmMBYURgRB2KVuiRaGSaQ1kWzbA5pVxEp1pMQGeg7qC3RJEQrYCLJ3hok5b7GPDAEpcPbhGK8C5rfM8xLqpkCpELjQLGD3wKXnvYA7WP6PGEQh2CtGJ2EfQSdDz4xfta6y41ZQEpuUvArGR1FHDZnP4ZuGb5bgPaRZPE1sDz4MZbKePhAnciv8Rm426MgHvWkpKyEZxRCZZxC56bkdZGr8ydb18v4cEieDgS7sC3JCqhRTihUEYHEBonyeGZhFqyfvEL7cHviBzrLVMzqpmdtgnYNcjkHyCfEJtbEjbwLEmMch3FiXHeeSr5EvTn88E8GemFiYaLY26GF1w8hg6PS4mg9D8gA6tbYrZYmzW2i7Ka9w7i82dB6jf1j8m1ECrptYzPofseQENcHsfboZgbxXbxHDHxBz6CRJqTXs2E2PbVqwP7r9JrNgiE543kzeMLLCZWSoCaCMuKCUSEcEToLNLNBM3rt3L8SyaZRyP1XuwXZCe4aqA7Vd6FxWquq8pMhMfBrfWQjX7ahNH75pQeoCjwKXzdC2T38KbKx2dZt5NVMF4Zk2iX2WjL3n8jgXobe6aMNtshZwnvZZ4gcXMhgkcvthLMfwFBvCxLvCRXimVdMxNANizLJAPBznUkyTtsAxTj7jvotru3wWod6LTgxAziURvYZk9knz41MQEgf2F2kFSZZnMNENncBvu4SPxUnak7NNuB3cRvQSL4MnyFfKALcp1bTJ4t7cjZxxTUUGgkfhpGy83WWwudYoFrKbvZ53eAMPfBGo1Q9vE91DU4XUBzcNrbBDU8omU3Gu",
      "assets": [
        {
          "tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 1,
          "amount": 999996523,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1105ccebc7e3758205aa36c8b6f799b66180f0b252",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[15807871718,321,3477,1673722260900,86400000]"
        }
      }
    },
    {
      "boxId": "60aaba1834b291370f54a39dd52cdfb7840454825be5f2114543a5e36af06ff8",
      "value": 8328883980,
      "index": 1,
      "spendingProof": "080fff03180a5e6115639ef3a94d50bae8e8a4bd3ba70e972e13371e60c9bb7fbf37af474c525405da605f651de18465885bdec9ec924a21",
      "outputBlockId": "a9aa0b7f573556a24ed712020c25276fdff398a9d1b24226722f9fcf7fcd5f6d",
      "outputTransactionId": "c04724c5e82234d0f13ea711325563caa99ce6b47bc984d4365df0c86208ffcc",
      "outputIndex": 2,
      "outputGlobalIndex": 25619439,
      "outputCreatedAt": 918327,
      "outputSettledAt": 918329,
      "ergoTree": "0008cd039f6e107484c5c12d2335e5713b14a830551929edca630b5f4a49127a0bf875d2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9f6e10,610dfd,...)))}",
      "address": "9hg27dvS2fGUe9CbXZzGg4eXpZA36dbaAUxLhpTwZWSacYiXHKU",
      "assets": [
        {
          "tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
          "index": 0,
          "amount": 502070,
          "name": "ergopad",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 1,
          "amount": 412849316,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "864bfb30ce0a7a98dc5c52bba740c1406232465e6a75d9ba5c264d29bcfb6d0c",
          "index": 2,
          "amount": 1,
          "name": "Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5a34d53ca483924b9a6aa0c771f11888881b516a8d1a9cdc535d063fe26d065e",
          "index": 3,
          "amount": 90019628438,
          "name": "LunaDog",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "a150b779e338b74bfb7b1c070825ab5844a3795358ea65c8318cafc4f95ec5b8",
          "index": 4,
          "amount": 1,
          "name": "Auction House Seed Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
          "index": 5,
          "amount": 1000000000,
          "name": "ErgOne",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "98da76cecb772029cfec3d53727d5ff37d5875691825fbba743464af0c89ce45",
          "index": 6,
          "amount": 25713557,
          "name": "ERG_Mi Goreng _LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "68d1e62c8a89b8afeb205fa97cfa466917d80322851fc325d0decf98b633a280",
          "index": 7,
          "amount": 1,
          "name": "NETA Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "eb06ef15b0495c4a7d8ff941f70dac5ffe1ffe482622d95b0e7538e7527628b9",
          "index": 8,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9177e65c5dfcfea867130632d9aff8092542875911ddcbfd215873bd5b039bde",
          "index": 9,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "92e848f2a06b68f690b5650d333919c1ebb36346e7795d9746f886ab5864833c",
          "index": 10,
          "amount": 12230890,
          "name": "Ergo_59ee2495_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5f340f3a8487f58ac6527a8575e5214c4795581d1786c5408108018c847676f6",
          "index": 11,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "f627e402a8ae384da9f9fa762851905115148fd1881bac4f289b4557d83f8b60",
          "index": 12,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fb806112693edd74b1fd7e6e6539de638bd9416676e3e2dc2e8cc252dbf176ea",
          "index": 13,
          "amount": 1,
          "name": "NETA Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e71286172e98b282d0b72292573fc404d70f0d82fde823018380965b47e13d63",
          "index": 14,
          "amount": 1,
          "name": "Auction House Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
          "index": 15,
          "amount": 1900490,
          "name": "SigRSV",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "aad785e9097665adf09c9160432c8c8bcd7af31e05aca57f99fd46fadb6b8cbf",
          "index": 16,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b17326fa50f54ec2f0306715776e0bf008c22d8086f5c642f4cf863487d6c0aa",
          "index": 17,
          "amount": 1,
          "name": "Auction House Seed Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 18,
          "amount": 41,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6d60cdc12b3a2462e43a24aa98105620fd542d6695193da80ddce04ae318f0c8",
          "index": 19,
          "amount": 1,
          "name": "EGIO Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e249780a22e14279357103749102d0a7033e0459d10b7f277356522ae9df779c",
          "index": 20,
          "amount": 14438087663,
          "name": "ERG_NETA_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ff95b6a23999c22e9f45f44c1885a9bd49fc047eb168fde83c58e621172f01d4",
          "index": 21,
          "amount": 1,
          "name": "NETA Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
          "index": 22,
          "amount": 44200,
          "name": "kushti",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8acb127fc211e2f3436eebec5b47a55b237bdf0ad1e69159b067762278aaa455",
          "index": 23,
          "amount": 1,
          "name": "EGIO Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
          "index": 24,
          "amount": 153519405,
          "name": "AHT",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "6de6f46e5c3eca524d938d822e444b924dbffbe02e5d34bd9dcd4bbfe9e85940",
          "index": 25,
          "amount": 5331110084,
          "name": "ogre",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a6c1a7581f5d3cb141971e19da4fe8b23cf3d16c1f0412fbc9c596ecda69c154",
          "index": 26,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e7b6502a3471087db0591eaa0161f6ee8866fd33edfe67102052f866b70e79bb",
          "index": 27,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 28,
          "amount": 13624170405,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "79d7692d5b8208271e529d394b01d64d255f0acaf56ca44fdd38c49880fa1a6e",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 1000000,
      "index": 0,
      "globalIndex": 25643179,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](2))\n  val coll7 = tuple6._1\n  val bool8 = coll4 == coll7\n  val box9 = OUTPUTS(placeholder[Int](3))\n  val coll10 = box9.R4[Coll[Long]].get\n  val coll11 = SELF.R4[Coll[Long]].get\n  val l12 = tuple6._2\n  val coll13 = box9.tokens\n  val tuple14 = coll13(placeholder[Int](4))\n  val l15 = tuple14._2\n  val l16 = CONTEXT.preHeader.timestamp\n  val l17 = tuple3._2\n  val coll18 = placeholder[Coll[Byte]](5)\n  val tuple19 = coll13(placeholder[Int](6))\n  val tuple20 = coll5(placeholder[Int](7))\n  val l21 = coll11(placeholder[Int](8))\n  val bool22 = allOf(\n    Coll[Boolean](\n      box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n        placeholder[Int](9)\n      ) == l21, coll13.size == placeholder[Int](10)\n    )\n  )\n  if (bool8) {(\n    val tuple23 = coll2(placeholder[Int](11))\n    val l24 = tuple23._2\n    val l25 = coll11(placeholder[Int](12))\n    val coll26 = box1.R4[Coll[Long]].get\n    val coll27 = box1.R5[Coll[Byte]].get\n    val box28 = OUTPUTS(placeholder[Int](13))\n    val tuple29 = box28.tokens(placeholder[Int](14))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n            placeholder[Int](18)\n          ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n            Long\n          ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n            placeholder[Int](26)\n          ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n            29\n          ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n        )\n      )\n    )\n  )} else {(\n    val box23 = INPUTS(placeholder[Int](32))\n    val coll24 = box23.tokens\n    val tuple25 = coll24(placeholder[Int](33))\n    val coll26 = tuple25._1\n    if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n      val box27 = INPUTS(placeholder[Int](36))\n      val coll28 = box27.R4[Coll[Long]].get\n      val l29 = coll11(placeholder[Int](37))\n      val l30 = coll10(placeholder[Int](38))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n              placeholder[Int](43)\n            ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n              placeholder[Int](48)\n            ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n          )\n        )\n      )\n    )} else {(\n      val l27 = coll11(placeholder[Int](50))\n      val l28 = coll10(placeholder[Int](51))\n      if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n        val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n              val coll33 = tuple31._2.tokens\n              val l34 = tuple31._1\n              if (coll33.size == placeholder[Int](54)) { l34 } else {(\n                val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n                val i36 = coll35.size\n                if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n              )}\n            }) }\n        val l30 = func29(INPUTS)\n        val l31 = func29(OUTPUTS)\n        val coll32 = box23.R4[Coll[Long]].get\n        val l33 = coll32(placeholder[Int](59))\n        val l34 = l16 - l33 / placeholder[Int](60).toLong\n        val l35 = l27 - l28\n        val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n          if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n            if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n              if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n                l35 * placeholder[Long](72) / placeholder[Long](73)\n              }\n            }\n          }\n        }\n        val box37 = INPUTS(placeholder[Int](74))\n        val l38 = coll32(placeholder[Int](75))\n        val l39 = coll11(placeholder[Int](76))\n        val tuple40 = coll24(placeholder[Int](77))\n        val l41 = tuple40._2 - l35\n        val bool42 = l41 == placeholder[Long](78)\n        val coll43 = tuple40._1\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n                {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n              ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n                placeholder[Long](84)\n              } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n                placeholder[Long](88)\n              } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n                90\n              )) {(\n                val box44 = OUTPUTS(placeholder[Int](91))\n                val coll45 = box44.tokens\n                val tuple46 = coll45(placeholder[Int](92))\n                val tuple47 = coll45(placeholder[Int](93))\n                val coll48 = box44.R4[Coll[Long]].get\n                allOf(\n                  Coll[Boolean](\n                    box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n                      Long\n                    ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n                  )\n                )\n              )} else { placeholder[Boolean](97) }\n            )\n          )\n        )\n      )} else { sigmaProp(placeholder[Boolean](98)) }\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 1,
          "amount": 999996522,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1105b89085e4758205ac36c8b6f799b66180f0b252",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[15808373788,321,3478,1673722260900,86400000]"
        }
      },
      "spentTransactionId": "20b44eee4127ce2e79419ab5be9ed3ad7177539fccc8d3eab271e2e591ec8ee5",
      "mainChain": true
    },
    {
      "boxId": "b04b6542b852ac6d1522c0247ff0c633a1150f43243f2b7dcb174cfdb49c52f0",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 1000000,
      "index": 1,
      "globalIndex": 25643180,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n3: 1\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 0\n10: 1\n11: 1\n12: 1\n13: 3\n14: 0\n15: 1\n16: 2\n17: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n18: 1\n19: 1\n20: false\n21: true\n22: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens(placeholder[Int](1))._1\n  if (coll2 == placeholder[Coll[Byte]](2)) {(\n    val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](3)))\n    val coll4 = box3.R4[Coll[Long]].get\n    val coll5 = SELF.R4[Coll[Long]].get\n    val coll6 = box3.tokens\n    val tuple7 = coll6(placeholder[Int](4))\n    val coll8 = SELF.tokens\n    val tuple9 = coll8(placeholder[Int](5))\n    val tuple10 = coll6(placeholder[Int](6))\n    val tuple11 = coll8(placeholder[Int](7))\n    val l12 = tuple11._2\n    val coll13 = box1.R4[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](8)) == coll5(placeholder[Int](9)) + placeholder[\n            Long\n          ](10), box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, coll4(placeholder[Int](11)) == coll5(\n            placeholder[Int](12)\n          ), tuple7._1 == tuple9._1, tuple7._2 == tuple9._2, tuple10._1 == tuple11._1, tuple10._2 == l12 + coll13(placeholder[Int](13)) * l12 / coll13(\n            placeholder[Int](14)\n          )\n        )\n      )\n    )\n  )} else {(\n    val box3 = INPUTS(placeholder[Int](15))\n    if (box3.id == SELF.id) {(\n      val box4 = OUTPUTS(placeholder[Int](16))\n      sigmaProp((coll2 == placeholder[Coll[Byte]](17)) && if (box4.propositionBytes == SELF.propositionBytes) {(\n          val opt5 = box4.R5[Coll[Byte]]\n          if (opt5.isDefined) { (opt5.get == SELF.R5[Coll[Byte]].get) && (OUTPUTS(placeholder[Int](18)).tokens(placeholder[Int](19))._1 == box3.R5[Coll[Byte]].get) } else { placeholder[Boolean](20) }\n        )} else { placeholder[Boolean](21) })\n    )} else { sigmaProp(placeholder[Boolean](22)) }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
          "index": 1,
          "amount": 502070,
          "name": "ergopad",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "11028205be97ffddb661",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[321,1673793627615]"
        },
        "R5": {
          "serializedValue": "0e20d6790a530dfd498af4b649bb094ce043156ab7d0770fae5ffa77cb8f4ea0a03f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d6790a530dfd498af4b649bb094ce043156ab7d0770fae5ffa77cb8f4ea0a03f"
        }
      },
      "spentTransactionId": "e3a2945a309a9ec56339f01c4962321e0ba53d61aef7a8bec3721ab5ca59c2a9",
      "mainChain": true
    },
    {
      "boxId": "5a85a185ee355a66c262b1e7f31dd1392a3d1255d3308f6fa6e03933d1b1a40a",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 10000000,
      "index": 2,
      "globalIndex": 25643181,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "ergoTree": "0008cd039f6e107484c5c12d2335e5713b14a830551929edca630b5f4a49127a0bf875d2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9f6e10,610dfd,...)))}",
      "address": "9hg27dvS2fGUe9CbXZzGg4eXpZA36dbaAUxLhpTwZWSacYiXHKU",
      "assets": [
        {
          "tokenId": "d6790a530dfd498af4b649bb094ce043156ab7d0770fae5ffa77cb8f4ea0a03f",
          "index": 0,
          "amount": 1,
          "name": "ergopad Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e116572676f706164205374616b65204b6579",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6572676f706164205374616b65204b6579"
        },
        "R5": {
          "serializedValue": "0e4b7b226f726967696e616c416d6f756e745374616b6564223a20353032302e372c20227374616b6554696d65223a2022323032332d30312d31352031343a34303a32382e363434343330227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a20353032302e372c20227374616b6554696d65223a2022323032332d30312d31352031343a34303a32382e363434343330227d"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        }
      },
      "spentTransactionId": "a15081a84cc92f5d9823b50ccc82493796808970cb5fdf0e7d080a4685b09628",
      "mainChain": true
    },
    {
      "boxId": "efe627764be68c0667e47db51630a2e37fa7cd43b0ebb7794060e78051bc50a2",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 250000000,
      "index": 3,
      "globalIndex": 25643182,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "ergoTree": "0008cd027c4f8d2035500bfa5107b3bd9db93f4262d0ecea16043e609c60fdf77937de17",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7c4f8d,597337,...)))}",
      "address": "9fTosCDJnwEcYnyLbnuiNAqaDDkA36jkqVpGu4iJth3z2vkEyFg",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "5506e01ffa5a0dda96de392000ed8b0c46e3717b0511021d294c98976c0e2523",
      "mainChain": true
    },
    {
      "boxId": "6bc5e0acc10bab469188e24a22f853d8d4a5f5b8265deedf80b74ca2b023b796",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 1000000,
      "index": 4,
      "globalIndex": 25643183,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "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": "44eff88adcc6f591fef2286e02d5edd32de44f6f55cc3e412748eed75042f22a",
      "mainChain": true
    },
    {
      "boxId": "4db7e192a987f377a631a38f41a23ccbcfc32b9e643235afa30622713ee402ee",
      "transactionId": "fbf91cd79325439ff6f73ce3d44b9d63483dd3ea326b2329dab07f631ef06ffa",
      "blockId": "bdf8c8b9cd47bdf38ae7e94a6cd40ad5666623de9e581d70f0cb1f3ad5358b8c",
      "value": 8066883980,
      "index": 5,
      "globalIndex": 25643184,
      "creationHeight": 918867,
      "settlementHeight": 918869,
      "ergoTree": "0008cd039f6e107484c5c12d2335e5713b14a830551929edca630b5f4a49127a0bf875d2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9f6e10,610dfd,...)))}",
      "address": "9hg27dvS2fGUe9CbXZzGg4eXpZA36dbaAUxLhpTwZWSacYiXHKU",
      "assets": [
        {
          "tokenId": "864bfb30ce0a7a98dc5c52bba740c1406232465e6a75d9ba5c264d29bcfb6d0c",
          "index": 0,
          "amount": 1,
          "name": "Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5a34d53ca483924b9a6aa0c771f11888881b516a8d1a9cdc535d063fe26d065e",
          "index": 1,
          "amount": 90019628438,
          "name": "LunaDog",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "a150b779e338b74bfb7b1c070825ab5844a3795358ea65c8318cafc4f95ec5b8",
          "index": 2,
          "amount": 1,
          "name": "Auction House Seed Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
          "index": 3,
          "amount": 1000000000,
          "name": "ErgOne",
          "decimals": 8,
          "type": "EIP-004"
        },
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 4,
          "amount": 13624170405,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "98da76cecb772029cfec3d53727d5ff37d5875691825fbba743464af0c89ce45",
          "index": 5,
          "amount": 25713557,
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