Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (2)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 319 B
Received time: 4/20/2022 01:00:53 PM
Included in blocks: 732,280
Confirmations: 1,028,155
Total coins transferred: 0.003 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000627 ERG
Raw Transaction Data
{
  "id": "aaf1fe50de3a108e0dd874eb79b57ebb22c8dde0ecc4da6070fbda3a1c2c5f20",
  "blockId": "2392b1122189106e1f2baa908b875063073ba94324f30f00a8eee86a74271a54",
  "inclusionHeight": 732280,
  "timestamp": 1650459653975,
  "index": 1,
  "globalIndex": 3027912,
  "numConfirmations": 1028155,
  "inputs": [
    {
      "boxId": "3fec1c242b23e22e9a9ae227b2696e5e6e6060f7a44b2b160b355e08d287817e",
      "value": 3000000,
      "index": 0,
      "spendingProof": "f98179c6169dd4b99951c08b1ca316e0d54097d8f0e705c36bf235184f859c673480858f03624b093f42543fe40ee924336005430e2d611a",
      "outputBlockId": "e77548326aad78193a6e904d2accbacfcb009a84a6e0e7e2aff35533ce1d02a9",
      "outputTransactionId": "f25a46a307f2484e69e4811ef4fdbc5f95b882646d3da3d5c8375743c4d5ed26",
      "outputIndex": 0,
      "outputGlobalIndex": 15531934,
      "outputCreatedAt": 727817,
      "outputSettledAt": 727819,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2\n1: 50\n2: 0\n3: 1000\n4: 1\n5: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n6: 0\n7: 0\n8: 900\n9: 2\n10: true\n11: 0\n12: 0\n13: 1\n14: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n15: 0",
      "ergoTreeScript": "{if (OUTPUTS.size > placeholder[Int](0)) {(\n  val box1 = SELF.R6[Box].get\n  val opt2 = box1.R4[Int]\n  val l3 = SELF.R4[Long].get\n  val l4 = l3 / placeholder[Long](1)\n  sigmaProp(if (opt2.isDefined) {(\n      val box5 = OUTPUTS(placeholder[Int](2))\n      val i6 = opt2.get\n      val l7 = l3 * i6.toLong / placeholder[Long](3)\n      val box8 = OUTPUTS(placeholder[Int](4))\n      allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](5), if (((l7 != placeholder[Long](6)) && (i6 > placeholder[Int](7))) && (i6 < placeholder[Int](8))) {(\n            val box9 = OUTPUTS(placeholder[Int](9))\n            (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n          )} else { placeholder[Boolean](10) }, box1.id == SELF.tokens(placeholder[Int](11))._1))\n    )} else {(\n      val box5 = OUTPUTS(placeholder[Int](12))\n      val box6 = OUTPUTS(placeholder[Int](13))\n      allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](14), box1.id == SELF.tokens(placeholder[Int](15))._1))\n    )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
      "address": "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",
      "assets": [
        {
          "tokenId": "690377699fa436caabf3f96936353651b86754e198eb9ec0c5b1a1ec346dddc3",
          "index": 0,
          "amount": 1,
          "name": "ERGnomes Loyalty Crypto vs Fiat [143/221]",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0580d0dbc3f402",
          "sigmaType": "SLong",
          "renderedValue": "50000000000"
        },
        "R5": {
          "serializedValue": "0e240008cd036b84756b351ee1c57fd8c302e66a1bb927e5d8b6e1a8e085935de3971f84ae17",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd036b84756b351ee1c57fd8c302e66a1bb927e5d8b6e1a8e085935de3971f84ae17"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": null,
          "renderedValue": null
        },
        "R7": {
          "serializedValue": "07036b84756b351ee1c57fd8c302e66a1bb927e5d8b6e1a8e085935de3971f84ae17",
          "sigmaType": "SGroupElement",
          "renderedValue": "036b84756b351ee1c57fd8c302e66a1bb927e5d8b6e1a8e085935de3971f84ae17"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "468548311d67868a8f686a7f6d52184de9caecd0be0efe94ebed1cfbb2d1a2d6",
      "transactionId": "aaf1fe50de3a108e0dd874eb79b57ebb22c8dde0ecc4da6070fbda3a1c2c5f20",
      "blockId": "2392b1122189106e1f2baa908b875063073ba94324f30f00a8eee86a74271a54",
      "value": 1000000,
      "index": 0,
      "globalIndex": 15766431,
      "creationHeight": 732278,
      "settlementHeight": 732280,
      "ergoTree": "0008cd036b84756b351ee1c57fd8c302e66a1bb927e5d8b6e1a8e085935de3971f84ae17",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b8475,d66250,...)))}",
      "address": "9hHA5ZqFBiqHG5TdmXgmxCZ8AXbkYkn6wnYRN1s5K6hpPJNLW99",
      "assets": [
        {
          "tokenId": "690377699fa436caabf3f96936353651b86754e198eb9ec0c5b1a1ec346dddc3",
          "index": 0,
          "amount": 1,
          "name": "ERGnomes Loyalty Crypto vs Fiat [143/221]",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e203fec1c242b23e22e9a9ae227b2696e5e6e6060f7a44b2b160b355e08d287817e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3fec1c242b23e22e9a9ae227b2696e5e6e6060f7a44b2b160b355e08d287817e"
        }
      },
      "spentTransactionId": "cedc3b257fba32763d73fd0cdbc971c69b66e81beeac084b0a39cd84afd5bf47",
      "mainChain": true
    },
    {
      "boxId": "1354e5f06ce7cfc195a3b4ebe400ba46b5087c5584e8153193a83b2ad5c4485e",
      "transactionId": "aaf1fe50de3a108e0dd874eb79b57ebb22c8dde0ecc4da6070fbda3a1c2c5f20",
      "blockId": "2392b1122189106e1f2baa908b875063073ba94324f30f00a8eee86a74271a54",
      "value": 2000000,
      "index": 1,
      "globalIndex": 15766432,
      "creationHeight": 732278,
      "settlementHeight": 732280,
      "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": "329a82661a28081583e3ebad85143b7c6d3a76c93bc757e12f023db94e16592c",
      "mainChain": true
    }
  ],
  "size": 319,
  "isUnconfirmed": false
}