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Transaction

6/12/2022 05:57:56 AM
ID: 8118b1b03c...dcf7
Inputs (1)
#0
3d5df2b735d5...b90e
Spent
Address:
9hoFfdYgDGQb...gRDV
Output transaction:
26d08e888316...bf62
Settlement height:
770,177
Value:
0.002 ERG
Outputs (2)
#0
67ad63c1e862...f6d5
Unspent
Address:
9hoFfdYgDGQb...gRDV
Settlement height:
770,178
Value:
0.0002 ERG
Tokens:
Loading assets...
#1
c0505afb31ac...fa50
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
99ef99f14c97...382f
Settlement height:
770,178
Value:
0.0018 ERG
Transaction Details
Status: Confirmed
Size: 478 B
Received time: 6/12/2022 05:57:56 AM
Included in blocks: 770,178
Confirmations: 988,799
Total coins transferred: 0.002 ERG
Fees: 0.0018 ERG
Fees per byte: 0.000003766 ERG
Raw Transaction Data
{
  "id": "8118b1b03cf693069722b91cfc3cc10bb1e270e054d02775db45b9ebc8a3dcf7",
  "blockId": "28657a0f6bca3b148b6f128d714230c2f6d809887c88acd01f880009f0a58b8a",
  "inclusionHeight": 770178,
  "timestamp": 1655013476860,
  "index": 152,
  "globalIndex": 3343923,
  "numConfirmations": 988799,
  "inputs": [
    {
      "boxId": "3d5df2b735d53c545232a7905cdc3a95e5d75d73469a8b8a9b1d18a44d22b90e",
      "value": 2000000,
      "index": 0,
      "spendingProof": "5ef767d7241680a98751508c63939a7db168a3cbdd3282a92661de71a31453893c8260b9a88ff08cd346fc558ca61816ce19f95466be346e",
      "outputBlockId": "b5effce418503988e2c7178c03d63457cadfd19b4820a84348c359ef5b9eb975",
      "outputTransactionId": "26d08e888316110957262ecc986ce6422d5520d524db6ef5dd67ab3fe9d3bf62",
      "outputIndex": 286,
      "outputGlobalIndex": 17769315,
      "outputCreatedAt": 770175,
      "outputSettledAt": 770177,
      "ergoTree": "0008cd03afdad5a420c56b9bfb7098927d0b3b7859ceb23cf17d21e419b7234ff4aecc38",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afdad5,92d45f,...)))}",
      "address": "9hoFfdYgDGQbaVAmyiWTXou6KaBxF5Ad5rg7vAe4rSVmyTxgRDV",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0464",
          "sigmaType": "SInt",
          "renderedValue": "50"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "67ad63c1e862f2b8a3b3c856b1475c8759ea74badf1e29e9523f01a163bff6d5",
      "transactionId": "8118b1b03cf693069722b91cfc3cc10bb1e270e054d02775db45b9ebc8a3dcf7",
      "blockId": "28657a0f6bca3b148b6f128d714230c2f6d809887c88acd01f880009f0a58b8a",
      "value": 200000,
      "index": 0,
      "globalIndex": 17770194,
      "creationHeight": 770175,
      "settlementHeight": 770178,
      "ergoTree": "0008cd03afdad5a420c56b9bfb7098927d0b3b7859ceb23cf17d21e419b7234ff4aecc38",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afdad5,92d45f,...)))}",
      "address": "9hoFfdYgDGQbaVAmyiWTXou6KaBxF5Ad5rg7vAe4rSVmyTxgRDV",
      "assets": [
        {
          "tokenId": "3d5df2b735d53c545232a7905cdc3a95e5d75d73469a8b8a9b1d18a44d22b90e",
          "index": 0,
          "amount": 1,
          "name": "pythonWrapper v2 NFT example #287",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "4d47706169277320707974686f6e20777261707065722062756c6b2074657374207769746820726f79616c74696573"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        },
        "R8": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "f500d1ef286372a4efdf48e299049d3d26d3ce45bbe7d1f1c4c722a3a616db6d"
        },
        "R7": {
          "serializedValue": "0e020101",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0101"
        },
        "R9": {
          "serializedValue": "0e42697066733a2f2f6261666b726569687661646936366b64646f6b736f37783269346b6d716a686a3565336a3434726e333437693764726768656b72326d6677336e75",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "697066733a2f2f6261666b726569687661646936366b64646f6b736f37783269346b6d716a686a3565336a3434726e333437693764726768656b72326d6677336e75"
        },
        "R4": {
          "serializedValue": "0e21707974686f6e57726170706572207632204e4654206578616d706c652023323837",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "707974686f6e57726170706572207632204e4654206578616d706c652023323837"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "c0505afb31ac0e57acea3eba6945ddf1c6fcefc429d6c81939cb74894340fa50",
      "transactionId": "8118b1b03cf693069722b91cfc3cc10bb1e270e054d02775db45b9ebc8a3dcf7",
      "blockId": "28657a0f6bca3b148b6f128d714230c2f6d809887c88acd01f880009f0a58b8a",
      "value": 1800000,
      "index": 1,
      "globalIndex": 17770195,
      "creationHeight": 770175,
      "settlementHeight": 770178,
      "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": "99ef99f14c9712956454763bf29a1a2cdc1507d5412afac763578cab58bb382f",
      "mainChain": true
    }
  ],
  "size": 478,
  "isUnconfirmed": false
}