Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
100 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.14973 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
100 ERG
Spent in transaction:
Settlement height:
Value:
0.148478 ERG
Spent in transaction:
Settlement height:
Value:
0.001252 ERG
Transaction Details
Status: Confirmed
Size: 808 B
Received time: 6/7/2023 09:25:53 PM
Included in blocks: 1,020,850
Confirmations: 752,285
Total coins transferred: 100.15 ERG
Fees: 0.001252 ERG
Fees per byte: 0.00000155 ERG
Raw Transaction Data
{
  "id": "481c61e2daf5eadb9e49b2142c809eb0161dde5da4662580eefcaae8ab772eec",
  "blockId": "ed837d1509fc381d157ba815e9e6fbf6bb92e60c4c41e8c0eccb0e9aa53db01b",
  "inclusionHeight": 1020850,
  "timestamp": 1686173153953,
  "index": 9,
  "globalIndex": 5351195,
  "numConfirmations": 752285,
  "inputs": [
    {
      "boxId": "92f605f454527f1a97eace955e39d00f1c420c938535badd36fa93bba7793fd6",
      "value": 100000000000,
      "index": 0,
      "spendingProof": "9964cdc14cb7fdf182c6d96b45df7113f7b75b1a0d7603bf5cf96bc155a8f9639a48f765f98c519c6c288f3a7212e76ac41f439bd80505c71efda333ddb70bc86721d60c260ff71e08461a599a3a31afc5bbaf1729f8cc216d069a3c8ead91ab854bde840c8fd58b477e19fc3b355032",
      "outputBlockId": "4995ac6619032857d611d7d54dda9c85c4ba388b46f05aa4a360a52fdc7cb934",
      "outputTransactionId": "1ab21b06a57bc115b8dc3047dcf6653112ee054e9e39096dada54f239e79b75e",
      "outputIndex": 0,
      "outputGlobalIndex": 29891107,
      "outputCreatedAt": 1020846,
      "outputSettledAt": 1020848,
      "ergoTree": "10060e2002d1541415c323527f19ef5b103eb33c220ea8b66fcb711806b0037d115d63f204000402040004040e201a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98d803d601e4c6a70507d602d901026393cbc27202e4c6a7070ed6037300ea02eb02cd7201cedb6a01dde4c6a70407e4c6a706077201d1ececedda720201b2a573010093cbc2b2a47302007203edda720201b2a473030093cbc2b2a47304007203afa5d9010463afdb63087204d901064d0e948c7206017305",
      "ergoTreeConstants": "0: Coll(2,-47,84,20,21,-61,35,82,127,25,-17,91,16,62,-77,60,34,14,-88,-74,111,-53,113,24,6,-80,3,125,17,93,99,-14)\n1: 0\n2: 1\n3: 0\n4: 2\n5: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val func2 = {(box2: Box) => blake2b256(box2.propositionBytes) == SELF.R7[Coll[Byte]].get }\n  val coll3 = placeholder[Coll[Byte]](0)\n  proveDlog(ge1) || proveDHTuple(Global.groupGenerator, SELF.R4[GroupElement].get, SELF.R6[GroupElement].get, ge1) && sigmaProp(\n    (\n      (func2(OUTPUTS(placeholder[Int](1))) && (blake2b256(INPUTS(placeholder[Int](2)).propositionBytes) == coll3)) || (\n        func2(INPUTS(placeholder[Int](3))) && (blake2b256(INPUTS(placeholder[Int](4)).propositionBytes) == coll3)\n      )\n    ) || OUTPUTS.forall({(box4: Box) => box4.tokens.forall({(tuple6: (Coll[Byte], Long)) => tuple6._1 != placeholder[Coll[Byte]](5) }) })\n  )\n}",
      "address": "2kpyq1fiKFRACqTBYLqT4BNGfnrym226pPanSzftuVJdWmxAKncZScWcY2XkJXLdFFKXcqy7zLB8LVpHkaXgyAJkjTC4LXxss6tMbL7ZqEpwj5oGhv1q2FbsCab2KR2RdWhrwWSpC6qXXR6srcbve7c5ni8JQhWQKZdCqiuWxTXyapsTE1mB459YgLcPBBrPmA8qdudEToo9QVWXPSwXTGq3Uxod5V5JaBjWPcPi7UPMR1J9Y5guSCVxbLavcRnPxoxtgouFGimPcYxpMd5Vc",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 1,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0702c97df879f880ffe7c5c8d65c38f2d4c5ebec62bcf91be09c994975654aa35d04",
          "sigmaType": "SGroupElement",
          "renderedValue": "02c97df879f880ffe7c5c8d65c38f2d4c5ebec62bcf91be09c994975654aa35d04"
        },
        "R5": {
          "serializedValue": "0702f68de19416225d50a7b199a38faaaa7dad31c80654a8672d638776f742f01c12",
          "sigmaType": "SGroupElement",
          "renderedValue": "02f68de19416225d50a7b199a38faaaa7dad31c80654a8672d638776f742f01c12"
        },
        "R6": {
          "serializedValue": "07036756328156de903a60dd8b686a0077365ecc48322142536f4471634e5031c1e6",
          "sigmaType": "SGroupElement",
          "renderedValue": "036756328156de903a60dd8b686a0077365ecc48322142536f4471634e5031c1e6"
        },
        "R7": {
          "serializedValue": "0e20199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb"
        }
      }
    },
    {
      "boxId": "ea224ef43d02647bceed8b84a744ad07e9ac06262ecc4200b7da089c8811458c",
      "value": 149730000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "2db8493530aad18f0b85c2681ae8af328596de0256414363962dc7cff76c4b12",
      "outputTransactionId": "f2658cdb29ead405fa53f485e3e71e91b10123313be4c70ac08532c7eda3e8f7",
      "outputIndex": 1,
      "outputGlobalIndex": 29891037,
      "outputCreatedAt": 1020844,
      "outputSettledAt": 1020846,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "6117c7e37d1fd16867bf8d366663e16f992391b26f226baf23eaf355b1ddebcd",
      "transactionId": "481c61e2daf5eadb9e49b2142c809eb0161dde5da4662580eefcaae8ab772eec",
      "blockId": "ed837d1509fc381d157ba815e9e6fbf6bb92e60c4c41e8c0eccb0e9aa53db01b",
      "value": 100000000000,
      "index": 0,
      "globalIndex": 29891149,
      "creationHeight": 1020848,
      "settlementHeight": 1020850,
      "ergoTree": "0008cd026ddb6ceef13d5b45e2e4b0900f464e487112db8aa49b08c1141020145947c955",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6ddb6c,8f6a2e,...)))}",
      "address": "9fMSfhNkLgtRc14czraChz7tiQkQkJihy8aNvJb843eohy9ARqn",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a25c2814b18aa7502fbbf18601856024dfb315d8259ac338adccea35c9ab56d5",
      "mainChain": true
    },
    {
      "boxId": "70abfb51c34c4b0e2da26f08d5358dc2a7d4fbb5af1929b607d20d3ab1820159",
      "transactionId": "481c61e2daf5eadb9e49b2142c809eb0161dde5da4662580eefcaae8ab772eec",
      "blockId": "ed837d1509fc381d157ba815e9e6fbf6bb92e60c4c41e8c0eccb0e9aa53db01b",
      "value": 148478000,
      "index": 1,
      "globalIndex": 29891150,
      "creationHeight": 1020848,
      "settlementHeight": 1020850,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      },
      "spentTransactionId": "bec280eca840cae9897dee3cb1d28e85c5b542ab6103f659ea621a42ec835949",
      "mainChain": true
    },
    {
      "boxId": "d03ae53636971121c167c61e12432a6bcd025e7701c399db1e9b1535db0f690e",
      "transactionId": "481c61e2daf5eadb9e49b2142c809eb0161dde5da4662580eefcaae8ab772eec",
      "blockId": "ed837d1509fc381d157ba815e9e6fbf6bb92e60c4c41e8c0eccb0e9aa53db01b",
      "value": 1252000,
      "index": 2,
      "globalIndex": 29891151,
      "creationHeight": 1020848,
      "settlementHeight": 1020850,
      "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": "4fbb93e8255cefb48d9261fd22fcb2c28b3b6328c07d93d5425f1268c9b53065",
      "mainChain": true
    }
  ],
  "size": 808,
  "isUnconfirmed": false
}