Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
1 ERG
Outputs (2)
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 570 B
Received time: 6/3/2021 01:11:34 PM
Included in blocks: 503,206
Confirmations: 1,259,618
Total coins transferred: 1 ERG
Fees: 0.002 ERG
Fees per byte: 0.000003509 ERG
Raw Transaction Data
{
  "id": "190d307eacc2d7286b6049e61ee5abb9b54c47cfc00ef8a69b6089c200878549",
  "blockId": "d4dfefa48596a2c53627f7eb3571a3af760ad3a1595ea5bc5c2b2bea79803d48",
  "inclusionHeight": 503206,
  "timestamp": 1622725894194,
  "index": 3,
  "globalIndex": 1397475,
  "numConfirmations": 1259618,
  "inputs": [
    {
      "boxId": "764a99949ad0713f51616da2636b990a8f83eb4b25e9c0a1d8bb1002f65dfc55",
      "value": 1004000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "d4dfefa48596a2c53627f7eb3571a3af760ad3a1595ea5bc5c2b2bea79803d48",
      "outputTransactionId": "357fa8a626dcc92ee2db805b1ff7b3a6d13d9b07bb528b2b1b939ddbd3ef6189",
      "outputIndex": 0,
      "outputGlobalIndex": 4471352,
      "outputCreatedAt": 503203,
      "outputSettledAt": 503206,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1002000000\n7: Coll(16,12,4,0,14,36,0,8,-51,2,-117,63,-110,-73,-2,-32,91,-32,-66,-35,-82,69,99,8,-2,62,17,75,70,-48,-85,-76,-91,6,100,-118,44,-117,-86,-26,112,-88,4,0,4,0,4,0,4,-128,-92,62,5,0,5,-128,-124,-81,95,4,0,5,-128,-88,-42,-71,7,5,0,5,-128,-92,-24,3,-40,2,-42,1,-78,-91,115,0,0,-42,2,115,1,-47,-20,-19,-19,-19,-19,-19,-111,-79,-37,99,8,114)\n8: Coll(1,2)\n9: Coll(-88,49,49,25,111,-30,-64,-36,-112,119,-61,47,105,-63,-55,-97,4,-65,3,83,-102,57,16,37,-7,-91,-63,-71,-51,-83,-25,-27)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,2,-117,63,-110,-73,-2,-32,91,-32,-66,-35,-82,69,99,8,-2,62,17,75,70,-48,-85,-76,-91,6,100,-118,44,-117,-86,-26,112,-88)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = box1.value\n  val coll3 = INPUTS(placeholder[Int](1)).id\n  val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n  sigmaProp(\n    (OUTPUTS.size == placeholder[Int](4)) && (\n      (\n        (\n          (\n            (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n              box1.propositionBytes == placeholder[Coll[Byte]](7)\n            )\n          ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n        ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n      ) || (\n        (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n          box1.propositionBytes == placeholder[Coll[Byte]](12)\n        )\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "8f1df9d359bc03470680185a18b4ed7525d72d9fa9b7601715a4c53b472f2497",
      "transactionId": "190d307eacc2d7286b6049e61ee5abb9b54c47cfc00ef8a69b6089c200878549",
      "blockId": "d4dfefa48596a2c53627f7eb3571a3af760ad3a1595ea5bc5c2b2bea79803d48",
      "value": 1002000000,
      "index": 0,
      "globalIndex": 4471355,
      "creationHeight": 503204,
      "settlementHeight": 503206,
      "ergoTree": "100c04000e240008cd028b3f92b7fee05be0beddae456308fe3e114b46d0abb4a506648a2c8baae670a80400040004000480a43e0500058084af5f04000580a8d6b90705000580a4e803d802d601b2a5730000d6027301d1ecededededed91b1db63087201730293e5c67201040ec5b2a4730300720293e5c6720105047304730593e5c6720106057306730793e5c67201080ec5b2a4730800720293c172017309ed92c1720199b0a4730ad9010341639a8c720301c18c720302730b93c272017202",
      "ergoTreeConstants": "0: 0\n1: Coll(0,8,-51,2,-117,63,-110,-73,-2,-32,91,-32,-66,-35,-82,69,99,8,-2,62,17,75,70,-48,-85,-76,-91,6,100,-118,44,-117,-86,-26,112,-88)\n2: 0\n3: 0\n4: 0\n5: 510208\n6: 0\n7: 100000000\n8: 0\n9: 1000000000\n10: 0\n11: 4000000",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  sigmaProp(\n    (\n      (\n        (\n          (\n            ((box1.tokens.size > placeholder[Int](2)) && (box1.R4[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](3)).id) == coll2)) && (\n              box1.R5[Int].getOrElse(placeholder[Int](4)) == placeholder[Int](5)\n            )\n          ) && (box1.R6[Long].getOrElse(placeholder[Long](6)) == placeholder[Long](7))\n        ) && (box1.R8[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](8)).id) == coll2)\n      ) && (box1.value == placeholder[Long](9))\n    ) || (\n      (box1.value >= INPUTS.fold(placeholder[Long](10), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value }) - placeholder[Long](11)) && (\n        box1.propositionBytes == coll2\n      )\n    )\n  )\n}",
      "address": "GZaYuW7aCQpWVmxBFMkZ2bZFJxFcGYif6MpHTzfdmc4ejZ7bLTbiZ73H8NWKgE79UceVvq35m1Me5XYY5fVD6EN94GCbdxoutWqMTMpZCpfAjBQe1ytKkc9ottMYK4bc3pAiYPX4pbmJAz323YAqc34ufvkjWZ3tavEyZGyNLhAJNRfGZbWcyuYZLGYV8PLdP4ZCmMJ3aHTqSQWVVAAgFbmw3USLz9wcb1uAfeyM9BgAdrqjymtmtX8Mxe3VxpqvLS4B7iEibD3MJmR",
      "assets": [
        {
          "tokenId": "764a99949ad0713f51616da2636b990a8f83eb4b25e9c0a1d8bb1002f65dfc55",
          "index": 0,
          "amount": 1,
          "name": "Analog Azure Admonition",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e1c416e616c6f6720417a7572652041646d6f6e6974696f6e202e6d7033",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "416e616c6f6720417a7572652041646d6f6e6974696f6e202e6d7033"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        },
        "R8": {
          "serializedValue": "0e20a83131196fe2c0dc9077c32f69c1c99f04bf03539a391025f9a5c1b9cdade7e5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a83131196fe2c0dc9077c32f69c1c99f04bf03539a391025f9a5c1b9cdade7e5"
        },
        "R7": {
          "serializedValue": "0e020102",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0102"
        },
        "R9": {
          "serializedValue": "0e5368747470733a2f2f646f63732e676f6f676c652e636f6d2f752f302f75633f6578706f72743d646f776e6c6f61642669643d316148554e796576714a6a73336e38564f7563544a334672464b57503777367958",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "68747470733a2f2f646f63732e676f6f676c652e636f6d2f752f302f75633f6578706f72743d646f776e6c6f61642669643d316148554e796576714a6a73336e38564f7563544a334672464b57503777367958"
        },
        "R4": {
          "serializedValue": "0e17416e616c6f6720417a7572652041646d6f6e6974696f6e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "416e616c6f6720417a7572652041646d6f6e6974696f6e"
        }
      },
      "spentTransactionId": "fc2ae681db12d441b0010755a8f71ddf4194afec1ab2592cad5a958fd3d48a32",
      "mainChain": true
    },
    {
      "boxId": "a6da564a94f4c5e7c02db9ccde0ef834a24deb85702715c03c2aa210cab9e4c6",
      "transactionId": "190d307eacc2d7286b6049e61ee5abb9b54c47cfc00ef8a69b6089c200878549",
      "blockId": "d4dfefa48596a2c53627f7eb3571a3af760ad3a1595ea5bc5c2b2bea79803d48",
      "value": 2000000,
      "index": 1,
      "globalIndex": 4471356,
      "creationHeight": 503204,
      "settlementHeight": 503206,
      "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": "366c4855d5e4f4501f314bf1259e8a8190a41162a2e7b1a58855c9afa21bd5e5",
      "mainChain": true
    }
  ],
  "size": 570,
  "isUnconfirmed": false
}