Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
1.34 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
44.92 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
1.34 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
44.91 ERG
Transaction Details
Status: Confirmed
Size: 729 B
Received time: 8/15/2020 12:13:34 AM
Included in blocks: 295,128
Confirmations: 1,469,503
Total coins transferred: 46.26 ERG
Fees: 0.002 ERG
Fees per byte: 0.000002743 ERG
Raw Transaction Data
{
  "id": "aaa6bc434a9799fb1055fc843b631d5e6cfc49a69ed9e7fca6fdf64fb8a27ec2",
  "blockId": "a151c40aeb6b283eb0e35b054abaa6109704182282a5971be7fbcfaa9ce87241",
  "inclusionHeight": 295128,
  "timestamp": 1597450414048,
  "index": 1,
  "globalIndex": 504539,
  "numConfirmations": 1469503,
  "inputs": [
    {
      "boxId": "01f212d0e4b411a522267cdc3bdd3dd8a1851b585689f60298aaebd1dd37add6",
      "value": 1343000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "051df57cc6490fee73a08cb9d1ec6d8407d8a6fdd108cde77835e2cbaa2d593f",
      "outputTransactionId": "169e422469319f7e309e956b95eae04bc08848cbc423fc6b5301508eccd7fab8",
      "outputIndex": 0,
      "outputGlobalIndex": 1160261,
      "outputCreatedAt": 295121,
      "outputSettledAt": 295123,
      "ergoTree": "100604000580dac40904140e20293c7b7e0c55bcd8650bd6eb551144f2480f11292cd5a76bd00a65fe062ca5e6040a0408d806d601b2a5730000d602c67201060ed603e4c6a70504d604c1a7d6059272047301d6069aa3730295e67202d801d607ed93e47202cbc2a793cbc272017303eb02d1ededededededed8fa3720391a39972037304720593e4c672010405e4c6a7040593e4c672010504720393db63087201db6308a792c1720172047207d1ededededededed92a37203720593e4c672010405e4c6a7040592e4c672010504720690e4c6720105049a7206730593db63087201db6308a792c1720172047207d1edededed93e4c672010405e4c6a7040593e4c672010504720393c27201c2a793db63087201db6308a791c172017204",
      "ergoTreeConstants": "0: 0\n1: 10000000\n2: 10\n3: Coll(41,60,123,126,12,85,-68,-40,101,11,-42,-21,85,17,68,-14,72,15,17,41,44,-43,-89,107,-48,10,101,-2,6,44,-91,-26)\n4: 5\n5: 4",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val opt2 = box1.R6[Coll[Byte]]\n  val i3 = SELF.R5[Int].get\n  val l4 = SELF.value\n  val bool5 = l4 >= placeholder[Long](1)\n  val i6 = HEIGHT + placeholder[Int](2)\n  if (opt2.isDefined) {(\n    val bool7 = (opt2.get == blake2b256(SELF.propositionBytes)) && (blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](3))\n    sigmaProp(\n      (\n        (\n          (((((HEIGHT < i3) && (HEIGHT > i3 - placeholder[Int](4))) && bool5) && (box1.R4[Long].get == SELF.R4[Long].get)) && (box1.R5[Int].get == i3)) && (\n            box1.tokens == SELF.tokens\n          )\n        ) && (box1.value >= l4)\n      ) && bool7\n    ) || sigmaProp(\n      (\n        (\n          (\n            ((((HEIGHT >= i3) && bool5) && (box1.R4[Long].get == SELF.R4[Long].get)) && (box1.R5[Int].get >= i6)) && (\n              box1.R5[Int].get <= i6 + placeholder[Int](5)\n            )\n          ) && (box1.tokens == SELF.tokens)\n        ) && (box1.value >= l4)\n      ) && bool7\n    )\n  )} else {\n    sigmaProp(\n      (\n        (((box1.R4[Long].get == SELF.R4[Long].get) && (box1.R5[Int].get == i3)) && (box1.propositionBytes == SELF.propositionBytes)) && (\n          box1.tokens == SELF.tokens\n        )\n      ) && (box1.value > l4)\n    )\n  }\n}",
      "address": "Gxd4hMRT6J1SA6D3tfpzT4XSFduLqNYjSQfH3vB46ZcpRSbV3dVPQ18yHPVQAncDunnz5bzUGBrzBJM5EqipR6LZx8DH5NtEMKoL1jmdz4mC4N3r9ptXvn1Xu7bNMyyjMSdN8L3wYwBPSvcUKVriRYvWdcwiFYXvj51u597NmFEi4TPTdfYWu4cs5awzNqFExWZd5Xws8wBTXUD6zhwsPF2Z9HnhDUCgWrqSugY8k7vMRBr1cxRaEU2HRUgh1fQjvAvGZd3UfamFcWe1z1jqsLLUmb2m1MLCyGY19gmTMwVTT5BYmN44vvBSoyij8eNoYguBxjXdpJiTxWCid67korqBMRmHUaxPfZUBD6oz9weS9pDNwQJyUEPQ9at83cR8ATxvJLdvZStDu5",
      "assets": [
        {
          "tokenId": "b662db51cf2dc39f110a021c2a31c74f0a1a18ffffbf73e8a051a7b8c0f09ebc",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05cabfd0f213",
          "sigmaType": "SLong",
          "renderedValue": "2670333925"
        },
        "R5": {
          "serializedValue": "04b48324",
          "sigmaType": "SInt",
          "renderedValue": "295130"
        }
      }
    },
    {
      "boxId": "b7ebf8f954ea4af1a3ea5db1937a2210bb08cdb3fcdc74b59f79d35ea2f63493",
      "value": 44915500000,
      "index": 1,
      "spendingProof": "8a96f79a44f6e61df9da667924b2044e02340e810452e5240492cda727f288064229300d4faef321dd8d6d6be8255f44f17c4282455bd0c6",
      "outputBlockId": "051df57cc6490fee73a08cb9d1ec6d8407d8a6fdd108cde77835e2cbaa2d593f",
      "outputTransactionId": "169e422469319f7e309e956b95eae04bc08848cbc423fc6b5301508eccd7fab8",
      "outputIndex": 4,
      "outputGlobalIndex": 1160265,
      "outputCreatedAt": 295121,
      "outputSettledAt": 295123,
      "ergoTree": "0008cd0327e65711a59378c59359c3e1d0f7abe906479eccb76094e50fe79d743ccc15e6",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(27e657,d660da,...)))}",
      "address": "9gmNsqrqdSppLUBqg2UzREmmivgqh1r3jmNcLAc53hk3YCvAGWE",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "983afc09fc90016b499ae7db647d3f32a4108cd0e18e02f34f9bc52e986462f0",
      "transactionId": "aaa6bc434a9799fb1055fc843b631d5e6cfc49a69ed9e7fca6fdf64fb8a27ec2",
      "blockId": "a151c40aeb6b283eb0e35b054abaa6109704182282a5971be7fbcfaa9ce87241",
      "value": 1343000000,
      "index": 0,
      "globalIndex": 1160311,
      "creationHeight": 295126,
      "settlementHeight": 295128,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 100\n2: 10\n3: 0\n4: Coll(18,-54,-86,-53,81,-56,-106,70,-6,-55,-93,120,110,-71,-115,1,19,-67,87,-42,-126,35,-52,-63,23,84,-92,-10,114,-127,-38,-19)\n5: 0\n6: 0\n7: 10\n8: 1\n9: 2000000\n10: 1\n11: true\n12: 1\n13: 2000000\n14: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = SELF.R4[Long].get\n  val l3 = l2 / placeholder[Long](1) * placeholder[Long](2)\n  val coll4 = CONTEXT.dataInputs.filter(\n    {(box4: Box) =>\n      (((box4.R5[Coll[Byte]].get == SELF.id) && (box4.tokens(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4))) && (box4.R6[Long].get >= l2 - l3)) && (\n        box4.R6[Long].get <= l2 + l3\n      )\n    }\n  )\n  val i5 = coll4.size\n  sigmaProp(\n    (\n      (\n        (\n          (((blake2b256(box1.propositionBytes) == SELF.R6[Coll[Byte]].get) && (i5 > placeholder[Int](5))) && (box1.tokens == SELF.tokens)) && (\n            box1.R4[Long].get == coll4.fold(placeholder[Long](6), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.R6[Long].get }) / i5.toLong\n          )\n        ) && (box1.R5[Int].get == SELF.R5[Int].get + placeholder[Int](7))\n      ) && (box1.value >= SELF.value - i5 + placeholder[Int](8) * placeholder[Int](9).toLong)\n    ) && coll4.fold((placeholder[Int](10), placeholder[Boolean](11)), {(tuple6: ((Int, Boolean), Box)) =>\n        val tuple8 = tuple6._1\n        val i9 = tuple8._1\n        (i9 + placeholder[Int](12), (tuple8._2 && (OUTPUTS(i9).propositionBytes == proveDlog(tuple6._2.R4[GroupElement].get).propBytes)) && (OUTPUTS(i9).value >= placeholder[Long](13)))\n      })._2\n  ) && coll4.map({(box6: Box) => proveDlog(box6.R4[GroupElement].get) })(placeholder[Int](14))\n}",
      "address": "USNVj4rN2DcqBDatgFLgvYuht7oUZZPMHV9ktyme2Hruikxmow5ma8fiwXYDNhfoMDecWirdoe7Kx2LLWnRaV1jM3XwSkAVe9jpd558uXemCpwfdGXhvpM5nQsmns8fn5wYEjNTVmL5bhhCYHeTnVGPh2TLV6W8WtDbo91EreueTWRDXKpBtRPU8PAdy7rDg8MrHET7TxTNZSMTGdgLeknSEHute5k5cDsTSG7CTUcJotiVt3uN9vczuef94HEMjzsLPzV4x9x18M2nXYP676dVQkPkU1skYpPAZQpogQxMg7pF56uzXD4upGUomzJn5vd6f7mBWhuNwTt8DTEiKpgw4vLJdcn4oPa6CN7N3jXGpeUwAKreZvVhjdExNgTNWk5MWbDZmzo3DEapymtufJG9bgr9MrEfT6NbQzktDMv9FifBj7Zf8BCPshprgDjx6f7LrsbzyECFqQaQctqMJY8DdWfZqHhKAKzbTrwmh",
      "assets": [
        {
          "tokenId": "b662db51cf2dc39f110a021c2a31c74f0a1a18ffffbf73e8a051a7b8c0f09ebc",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05cabfd0f213",
          "sigmaType": "SLong",
          "renderedValue": "2670333925"
        },
        "R5": {
          "serializedValue": "04b48324",
          "sigmaType": "SInt",
          "renderedValue": "295130"
        },
        "R6": {
          "serializedValue": "0e2083743c43c5b96d99996395bfeaa28a203f784dd1b73ab278e6ca44e430607da8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "83743c43c5b96d99996395bfeaa28a203f784dd1b73ab278e6ca44e430607da8"
        }
      },
      "spentTransactionId": "ae4b9975fad3d378474b40e10235811771859bef0d23b3e788046787f34b60df",
      "mainChain": true
    },
    {
      "boxId": "4fb4c624d6c07bf007717e7bbe84adb1e29a4dfa4c49a66526a0d61b584a352f",
      "transactionId": "aaa6bc434a9799fb1055fc843b631d5e6cfc49a69ed9e7fca6fdf64fb8a27ec2",
      "blockId": "a151c40aeb6b283eb0e35b054abaa6109704182282a5971be7fbcfaa9ce87241",
      "value": 2000000,
      "index": 1,
      "globalIndex": 1160312,
      "creationHeight": 295126,
      "settlementHeight": 295128,
      "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": "ac12ef8a84ec9d787e698316ecc003cb0c9f6d0c4dd9967224e41b0a3accff59",
      "mainChain": true
    },
    {
      "boxId": "03c02891a8ac7ceb0cf81e7855c6af2046f8ac79ec46efced896b0ff0cdd494f",
      "transactionId": "aaa6bc434a9799fb1055fc843b631d5e6cfc49a69ed9e7fca6fdf64fb8a27ec2",
      "blockId": "a151c40aeb6b283eb0e35b054abaa6109704182282a5971be7fbcfaa9ce87241",
      "value": 44913500000,
      "index": 2,
      "globalIndex": 1160313,
      "creationHeight": 295126,
      "settlementHeight": 295128,
      "ergoTree": "0008cd0327e65711a59378c59359c3e1d0f7abe906479eccb76094e50fe79d743ccc15e6",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(27e657,d660da,...)))}",
      "address": "9gmNsqrqdSppLUBqg2UzREmmivgqh1r3jmNcLAc53hk3YCvAGWE",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6d1646451be23ea55443d0c0a0f573d5c33ab08bd06ff539df6e35ecb2b4232f",
      "mainChain": true
    }
  ],
  "size": 729,
  "isUnconfirmed": false
}