Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
10.03 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
10.03 ERG
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 1.06 KB
Received time: 2/20/2023 04:31:40 AM
Included in blocks: 944,201
Confirmations: 824,700
Total coins transferred: 11.03 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000001388 ERG
Raw Transaction Data
{
  "id": "1e7a0474ff73126a75cae9d7424428771cc6a4f697839ac2ce1595c3dd45663e",
  "blockId": "3db79acbe7508bdd9681265fa61e6a07cd713220165508565ada9487d1b4f3b7",
  "inclusionHeight": 944201,
  "timestamp": 1676867500549,
  "index": 5,
  "globalIndex": 4788449,
  "numConfirmations": 824700,
  "inputs": [
    {
      "boxId": "8d6d4bbae788cbb1140e1a854e3878d698650b281edb35e153d7d33a1cac5ba2",
      "value": 998900000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "83235a32e3e77f395348fe0e4da43ab40e4933007d6ef3aba183aac5a3162289",
      "outputTransactionId": "b36fe764f5eece4ee9c630d03ce774e8a73043f00beb2672bc164168180e6c72",
      "outputIndex": 0,
      "outputGlobalIndex": 26556463,
      "outputCreatedAt": 940385,
      "outputSettledAt": 940387,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val l4 = tuple3._2\n  val l5 = SELF.tokens(placeholder[Int](2))._2\n  val coll6 = tuple3._1\n  val coll7 = placeholder[Coll[Byte]](3)\n  if (l4 == l5) { placeholder[SigmaProp](4) } else {\n    if (l4 == l5 + placeholder[Long](5)) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i8 = OUTPUTS.size\n      if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n        val l9 = SELF.R4[Long].get\n        val coll10 = SELF.R5[Coll[Byte]].get\n        val box11 = OUTPUTS(placeholder[Int](13))\n        val coll12 = box11.R4[Coll[Long]].get\n        val l13 = coll12(placeholder[Int](14))\n        val l14 = coll12(placeholder[Int](15))\n        val coll15 = SELF.id\n        val box16 = OUTPUTS(placeholder[Int](16))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n                19\n              ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n                22\n              ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n                placeholder[Int](30)\n              )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 1,
          "amount": 999999999999996,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "1821505a893407be300e4230a9e82809ad21ba737528c25c5368a58c36971380",
      "value": 10031500000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "3db79acbe7508bdd9681265fa61e6a07cd713220165508565ada9487d1b4f3b7",
      "outputTransactionId": "11bf308d2d32d09dba61b4e1fa1be035379d78c7ee4ca92559af2b5f3cc4bcf2",
      "outputIndex": 0,
      "outputGlobalIndex": 26735565,
      "outputCreatedAt": 944199,
      "outputSettledAt": 944201,
      "ergoTree": "100d04000402040404000e2053577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a0e2032b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c760400040004020400040204000402d806d601db6308b2a5730000d602b27201730100d603db6308a7d604b2a4730200d605e4c672040511d606e4c6a70805d196830601938cb27201730300017304938c7202017305938c7202029a8cb27203730600028cb2db6308b2a473070073080002938cb2db63087204730900018cb27203730a000190b27205730b00720691b27205730c007206",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 2\n3: 0\n4: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n5: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n6: 0\n7: 0\n8: 1\n9: 0\n10: 1\n11: 0\n12: 1",
      "ergoTreeScript": "{\n  val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n  val tuple2 = coll1(placeholder[Int](1))\n  val coll3 = SELF.tokens\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = box4.R5[Coll[Long]].get\n  val l6 = SELF.R8[Long].get\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == placeholder[Coll[Byte]](5), tuple2._2 == coll3(\n          placeholder[Int](6)\n        )._2 + INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._2, box4.tokens(placeholder[Int](9))._1 == coll3(placeholder[Int](10))._1, coll5(\n          placeholder[Int](11)\n        ) <= l6, coll5(placeholder[Int](12)) > l6\n      )\n    )\n  )\n}",
      "address": "7rWGfCiciAYz5nbTFx7DA5BXVv3zb72YUWypnax7j7XpsCBfUw5P2id1VS9hwAA8VvWqJJ9aQiXRT2hzfEHS4Hgzc4vEu6fWb61Lsa8DNk72eWucdrZ2N6ZgsmGPMKz7NypCYjbbPPE162Fjc5Z5S1rgVpGhJMPaeDczgjEVg4KrqTMtA9TW8VmpECrssxiix1X7bwFqrxapgE2UMmrvMsorznPRkoj8hkn4mKnqjBUmCKXsPfShEwLyv9UTfahgBGaUe9wVuAbH19QUc6M8tF7gvidPeLdBVnouXhncfRA131pyjjkoHpUupBV6FcX",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b312c002a0b1671a0089fabc2d1a028e5938d46b1b2180d7e480e760526408ce",
          "index": 1,
          "amount": 999998997,
          "name": "Raffle_token: ErgoHack VI Community Vote Fund",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd031f483fa522013e1e2d795e38023f42a114cf2a4dbd2f29604329a3e17fd6395f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd031f483fa522013e1e2d795e38023f42a114cf2a4dbd2f29604329a3e17fd6395f"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f4861636b20564920436f6d6d756e69747920566f74652046756e64,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,697066733a2f2f6261666b726569687a756a75796367676c6f7675327371623767613561737533643732676937343775343261656936757636647876713237676275]"
        },
        "R8": {
          "serializedValue": "05de0a",
          "sigmaType": "SLong",
          "renderedValue": "687"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        },
        "R4": {
          "serializedValue": "1106bc010a80a8d6b90780c0a8ca9a3afaa073d60f",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,1000000000,1000000000000,944189,1003]"
        }
      }
    },
    {
      "boxId": "a96da73259d564d3234bbf3622a53a761b5979a8d9003330b32f63a0d32ca299",
      "value": 1500000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "21c31aead003d2cabbdb3c415b591544eee235ddcc56d3e44019cde8fa91dc3d",
      "outputTransactionId": "69e810c04e20518ece9d69b1c1a055a8938ac801911a1a2f153ced63c1de1d45",
      "outputIndex": 1,
      "outputGlobalIndex": 26694538,
      "outputCreatedAt": 943298,
      "outputSettledAt": 943300,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 1\n2: 1\n3: 0\n4: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n5: 1\n6: 0\n7: 0\n8: 1\n9: 0\n10: 1\n11: 1\n12: 0\n13: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n14: 2\n15: 3\n16: false\n17: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n18: 2\n19: 21600",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  sigmaProp(if (i1 == placeholder[Int](0)) {(\n      val box2 = OUTPUTS(placeholder[Int](1))\n      val box3 = INPUTS(placeholder[Int](2))\n      val coll4 = box3.tokens\n      allOf(Coll[Boolean](box2.value == box3.value, box2.propositionBytes == SELF.R4[Coll[Byte]].get, coll4(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), coll4(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1))\n    )} else {(\n      val coll2 = INPUTS(placeholder[Int](7)).tokens\n      if (coll2.size > placeholder[Int](8)) {(\n        val tuple3 = SELF.tokens(placeholder[Int](9))\n        val box4 = OUTPUTS(placeholder[Int](10))\n        allOf(Coll[Boolean](coll2(placeholder[Int](11))._1 == tuple3._1, coll2(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13), i1 == placeholder[Int](14), box4.propositionBytes == SELF.R4[Coll[Byte]].get, box4.value == SELF.R5[Coll[Long]].get(placeholder[Int](15)) * tuple3._2))\n      )} else { placeholder[Boolean](16) }\n    )}) || placeholder[SigmaProp](17) && sigmaProp(HEIGHT.toLong > SELF.R5[Coll[Long]].get(placeholder[Int](18)) + placeholder[Long](19))\n}",
      "address": "KWS1gdArUXRDwTgdW5XbBHwZnusjpchYJcoZXYnFqyHN4Ere7BjZAdJepNdkAuE3ZbXyJxnXSwDKrvzmga5MgDEySeF7r42ixE8Q3VH11D9doJT7C2pxBHgn8qsCvaSwfG9zmyqYSqD1UTjXXpV5u3JPJFXT6fMtgM9dNsDr7o6i5gns7M54Gkv7iMkQgSWtCHBC6CaKfBpmXUkoRYCvjxEjSuj4MFUG48psPeU8JaFcPWuj4k6vnjatG7WyLng2zGYsHWSAtAk4kJ2EkHrNZtY2gmC3UePuX7KAeoFyAMB7CquEThKvumCDZTUuZpwMnqzLH6tToiAMPqNyXVphWpTmquobhVY7DJGTzFV5LyYqfomGwhsftE1u4Kt2vPY3Zbjwzp5kzkhvJwKu9ouxVKrb4XRaoKWy7qX2Ne8gi2SHykeRX2dCtKMaeAeyXaCNGPwd2yVPPodBK62FEopCFGrRbbuzr7rzjLTU",
      "assets": [
        {
          "tokenId": "b312c002a0b1671a0089fabc2d1a028e5938d46b1b2180d7e480e760526408ce",
          "index": 0,
          "amount": 755,
          "name": "Raffle_token: ErgoHack VI Community Vote Fund",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd038664b06974484d373ef8e32219130a819ff1e5bb565b5efa8deada20f1100c94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd038664b06974484d373ef8e32219130a819ff1e5bb565b5efa8deada20f1100c94"
        },
        "R5": {
          "serializedValue": "1104f003d60ffaa07380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[248,1003,944189,1000000000]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "f205d447c5b55a0b687102e422aba09d008a32002c1138694280659107c7a166",
      "transactionId": "1e7a0474ff73126a75cae9d7424428771cc6a4f697839ac2ce1595c3dd45663e",
      "blockId": "3db79acbe7508bdd9681265fa61e6a07cd713220165508565ada9487d1b4f3b7",
      "value": 998900000,
      "index": 0,
      "globalIndex": 26735576,
      "creationHeight": 944199,
      "settlementHeight": 944201,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val l4 = tuple3._2\n  val l5 = SELF.tokens(placeholder[Int](2))._2\n  val coll6 = tuple3._1\n  val coll7 = placeholder[Coll[Byte]](3)\n  if (l4 == l5) { placeholder[SigmaProp](4) } else {\n    if (l4 == l5 + placeholder[Long](5)) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i8 = OUTPUTS.size\n      if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n        val l9 = SELF.R4[Long].get\n        val coll10 = SELF.R5[Coll[Byte]].get\n        val box11 = OUTPUTS(placeholder[Int](13))\n        val coll12 = box11.R4[Coll[Long]].get\n        val l13 = coll12(placeholder[Int](14))\n        val l14 = coll12(placeholder[Int](15))\n        val coll15 = SELF.id\n        val box16 = OUTPUTS(placeholder[Int](16))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n                19\n              ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n                22\n              ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n                placeholder[Int](30)\n              )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 1,
          "amount": 999999999999997,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "ed6ff3bb3be216963693c04b59c56b944f1d935e520fed132ced50a8f0bb8dcc",
      "mainChain": true
    },
    {
      "boxId": "7b6a64af0bf22c6e699e4c6d227f72ad9f4e29c1e19140993f4a49701575348b",
      "transactionId": "1e7a0474ff73126a75cae9d7424428771cc6a4f697839ac2ce1595c3dd45663e",
      "blockId": "3db79acbe7508bdd9681265fa61e6a07cd713220165508565ada9487d1b4f3b7",
      "value": 10031500000,
      "index": 1,
      "globalIndex": 26735577,
      "creationHeight": 944199,
      "settlementHeight": 944201,
      "ergoTree": "0008cd038664b06974484d373ef8e32219130a819ff1e5bb565b5efa8deada20f1100c94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8664b0,b57935,...)))}",
      "address": "9hUzb5RvSgDqJdtyCN9Ke496Yy63mpcUJKbRq4swzQ5EQKgygKT",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a0c3960d2965b76eb3bea09e3a49971fd8ac1646c45e5efea286e972a560840f",
      "mainChain": true
    },
    {
      "boxId": "d5d0aede3eb1595c35709a4aba3de60393de38738f055b37ec5f719d1c7e3103",
      "transactionId": "1e7a0474ff73126a75cae9d7424428771cc6a4f697839ac2ce1595c3dd45663e",
      "blockId": "3db79acbe7508bdd9681265fa61e6a07cd713220165508565ada9487d1b4f3b7",
      "value": 1500000,
      "index": 2,
      "globalIndex": 26735578,
      "creationHeight": 944199,
      "settlementHeight": 944201,
      "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": "416081ca07706e797d71bd35283d11c403570796a11653c5088bb29d8beaf26f",
      "mainChain": true
    }
  ],
  "size": 1081,
  "isUnconfirmed": false
}