Transaction e2d86c278c03a381...2e162162

Inputs (1)

b20760e6ee73...e0ec
Spent
Address:
9h6DG2TcDaTo...wCwN
Output transaction:
0c247c544d96...5d2c
Settlement height:
792,439
Value:
0.002 ERG
Outputs (2)

e20da70fb808...dc5b
Unspent
Address:
9h6DG2TcDaTo...wCwN
Settlement height:
792,451
Value:
0.001 ERG
Tokens:
Loading assets...
babcd3469d37...6d98
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
4e918ef34db8...7990
Settlement height:
792,451
Value:
0.001 ERG
Transaction Details

Status: Confirmed
Size: 1.03 KB
Received time: 7/13/2022 09:26:00 AM
Included in blocks: 792,451
Confirmations: 984,251
Total coins transferred: 0.002 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000951 ERG
Raw Transaction Data

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  "id": "e2d86c278c03a3814f060a56ff77732e0e654e5e405a8339ecd6ef542e162162",
  "blockId": "8ba01a383bca70e01a2f85f7e5e2f3dc65382e7ae1419c7238c4b69771db8626",
  "inclusionHeight": 792451,
  "timestamp": 1657704360291,
  "index": 127,
  "globalIndex": 3539596,
  "numConfirmations": 984251,
  "inputs": [
    {
      "boxId": "b20760e6ee73ba707da28abd8106569c0a6ab780232d5c16634c1f45e565e0ec",
      "value": 2000000,
      "index": 0,
      "spendingProof": "48abcf3e5b7fa53e471a06af3101615271250a2a8452a70f0ca9d3e689977d7892544871a24b8c6037bf1e736d1023288ec3f15af91bb67d",
      "outputBlockId": "fa2100b9b834db82da2ea239460f0b3c5e6ff0887c319c648db0bccc86f3922d",
      "outputTransactionId": "0c247c544d962edfc5771c35ae918c9e2d73b0df0fa6512014e50930de605d2c",
      "outputIndex": 1076,
      "outputGlobalIndex": 19008880,
      "outputCreatedAt": 792437,
      "outputSettledAt": 792439,
      "ergoTree": "0008cd0352aa427641bdd724fbf14b7d342ad1dc2c63b90f59449b46100d6e42988d9a4b",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(52aa42,67da7b,...)))}",
      "address": "9h6DG2TcDaToaq8L8M3FPj9qpKVdHiMkeuhUjqRzBR3XVtmwCwN",
      "assets": [],
      "additionalRegisters": {
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          "serializedValue": "0464",
          "sigmaType": "SInt",
          "renderedValue": "50"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
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      "index": 0,
      "globalIndex": 19014548,
      "creationHeight": 792445,
      "settlementHeight": 792451,
      "ergoTree": "0008cd0352aa427641bdd724fbf14b7d342ad1dc2c63b90f59449b46100d6e42988d9a4b",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(52aa42,67da7b,...)))}",
      "address": "9h6DG2TcDaToaq8L8M3FPj9qpKVdHiMkeuhUjqRzBR3XVtmwCwN",
      "assets": [
        {
          "tokenId": "b20760e6ee73ba707da28abd8106569c0a6ab780232d5c16634c1f45e565e0ec",
          "index": 0,
          "amount": 1,
          "name": "$COMET Oniric 3D Collection 2341",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
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          "sigmaType": "Coll[SByte]",
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          "renderedValue": "ca8664d89e3f7791ffb819fdc556db9219f095d82a0f87d31e3d0152fa76921e"
        },
        "R7": {
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          "sigmaType": "Coll[SByte]",
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        },
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      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "babcd3469d37899e9ea52d0280ed2ab726c227544ac34121800febb3bdaa6d98",
      "transactionId": "e2d86c278c03a3814f060a56ff77732e0e654e5e405a8339ecd6ef542e162162",
      "blockId": "8ba01a383bca70e01a2f85f7e5e2f3dc65382e7ae1419c7238c4b69771db8626",
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      "index": 1,
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      "settlementHeight": 792451,
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      "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",
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      "spentTransactionId": "4e918ef34db8f5cc55905cd280e1b0f60369f0262f44859bae718a4aea557990",
      "mainChain": true
    }
  ],
  "size": 1051,
  "isUnconfirmed": false
}