Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
22.53 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
4.64 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
22.53 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
4.64 ERG
Transaction Details
Status: Confirmed
Size: 727 B
Received time: 9/1/2020 08:55:56 AM
Included in blocks: 307,853
Confirmations: 1,458,755
Total coins transferred: 27.17 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001376 ERG
Raw Transaction Data
{
  "id": "631f7349c0b11ded2abc7be5fe27fe33c115402d98c4c48097aa3557e9be79eb",
  "blockId": "b7f504abb5496bfe836070e4440224c535845ef767dc3bf5353c30d9fa2a7a50",
  "inclusionHeight": 307853,
  "timestamp": 1598950556825,
  "index": 3,
  "globalIndex": 542396,
  "numConfirmations": 1458755,
  "inputs": [
    {
      "boxId": "9b6c5ecc90b0d85130997469ef5bca899b4d415cd163afe5a739f41483307de7",
      "value": 22526500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "16f16c1c42891e311a8c8d6c60bd73f685f7fbb8bdb872341aeb87bf1ce3cdf8",
      "outputTransactionId": "5a82a1254d720d7001862a1dbae10d1640d43e9c138d68caaef9e3b73da08d07",
      "outputIndex": 0,
      "outputGlobalIndex": 1256362,
      "outputCreatedAt": 307840,
      "outputSettledAt": 307842,
      "ergoTree": "100604000580df9825043c0e207de8215a9a2fdaa5630244787b25e31eeadf292e3d171a80b3b13529572b5ec30428040ad806d601b2a5730000d602c67201060ed603e4c6a70504d604c1a7d6059272047301d6069aa3730295e67202d801d607ed93e47202cbc2a793cbc272017303eb02d1ededededededed8fa3720391a39972037304720593e4c672010405e4c6a7040593e4c672010504720393db63087201db6308a792c1720172047207d1ededededededed92a37203720593e4c672010405e4c6a7040592e4c672010504720690e4c6720105049a7206730593db63087201db6308a792c1720172047207d1edededed93e4c672010405e4c6a7040593e4c672010504720393c27201c2a793db63087201db6308a791c172017204",
      "ergoTreeConstants": "0: 0\n1: 39000000\n2: 30\n3: Coll(125,-24,33,90,-102,47,-38,-91,99,2,68,120,123,37,-29,30,-22,-33,41,46,61,23,26,-128,-77,-79,53,41,87,43,94,-61)\n4: 20\n5: 5",
      "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": "Gxd4hMRT6Lbs5atqVxjyQa3GixJ3yJRqgHzxJBvrZPYfaQX8tGuDuA7taPcMNVBDE2uPMr8EupZYTJhxKKPa7JcrY4P9e33ZGgaqDzSJTg47o3ZA2yjo54X6vRANf9A1Hc751a81pNZ3HRAaV6gvwSPwTQNTn4CC52yPScz3k9d9czyij69Lo8DJAysjQTvwMUG4ttJ9dKXfH9yhXgUprqnTKiftHmLKe6a6gXhYLyjvCUJRVMsrnBvSSHcZWfDmt98rAAXQPH2gajK8KwGtR1wRLNp2V7RZTJ6qJHoimb5r7W99u8pFFdnwC62bP9pWBShrx1AGQQwkv9BXMUjPtt45Y4buHiFZ2DGhW4v4FKT6g1hA9mboWhVpyHvxvCfJiPVpPCpZWm1UA7",
      "assets": [
        {
          "tokenId": "19475d9a78377ff0f36e9826cec439727bea522f6ffa3bda32e20d2f8b3103ac",
          "index": 0,
          "amount": 1,
          "name": "POOL",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "059a9dce07",
          "sigmaType": "SLong",
          "renderedValue": "7980877"
        },
        "R5": {
          "serializedValue": "04bcca25",
          "sigmaType": "SInt",
          "renderedValue": "307870"
        }
      }
    },
    {
      "boxId": "db4c2b4c2b93b9b286172bbce9fddce626e60110bafc77ed83e9edd627b0d2d7",
      "value": 4642500000,
      "index": 1,
      "spendingProof": "13d71575af9ff81a6941a7f8d306050e0ace3bc65e7468715a57b70fb9dc0541d36764de5ce13a0008e901f9273322e21cafe4d5c937737d",
      "outputBlockId": "dab8cf0d0223378f53fe10ef2b56501dc45318129ca38b27bbc2c2fb348c015c",
      "outputTransactionId": "dce12bf3a264ae963899968746ec3e50f447feb66ae125bd1928d83b1cfe646a",
      "outputIndex": 2,
      "outputGlobalIndex": 1256429,
      "outputCreatedAt": 307846,
      "outputSettledAt": 307848,
      "ergoTree": "0008cd03a40b2249d6a9cc7eedf21188842acef44f3df110a58a687ba3e28cbc2e97ead2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a40b22,2bf15e,...)))}",
      "address": "9hi3xmKtKf3FVwt9jTiXQsrjMjjtzKzTNCsBUrVMKA2xcYMsvyc",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "419c1e414911b73331fb2859ddbd95bae1ab26fbc628377331f0888b324b7eb6",
      "transactionId": "631f7349c0b11ded2abc7be5fe27fe33c115402d98c4c48097aa3557e9be79eb",
      "blockId": "b7f504abb5496bfe836070e4440224c535845ef767dc3bf5353c30d9fa2a7a50",
      "value": 22526500000,
      "index": 0,
      "globalIndex": 1256497,
      "creationHeight": 307851,
      "settlementHeight": 307853,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 100\n2: 50\n3: 0\n4: Coll(25,113,-110,104,-46,48,-3,-112,-109,-28,-37,14,46,66,-96,120,-125,-1,-23,118,-25,124,116,25,-17,-63,-69,33,-118,5,-44,-70)\n5: 0\n6: 0\n7: 30\n8: 1\n9: 2500000\n10: 1\n11: true\n12: 1\n13: 2500000\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": "USNVj4rN2DctyA1X4WckU2u6ExN2EcrqJZnsFyoNdrhryRMiQjaxwqyauWuptUPw21McpyQ2Zud3ucZKowep1wozrswYBBcpVVfShcSJqeTYoooHio9WqL2bbxGtv8Q1Phv6eRxJkh258nJeUedMoJY7mrwnKntBHH4Z7GbW52DfKmreBeknQ3fnmB84pTwgfqwDyRYPMYEpmECCCQ6vZFyw4pEQgGchJ9chGeM78UFzL2DsJeiMAZBiZJt3nSwHgsUzhq6TuRJYKfQzozmosdafGTqCtiDDsWhQH1ZopnevvADugEDhBqKjxNiY6QPW2nKaFPXbPTt2bTVaJoAnYK3Bt39NnJuMFKraRCDWgpfTzzvLS17ccdTJokqNuTib3sQNmrEEzVdRXm6K3Xu82wbPJ2ZNNkvhYCJYiEA8Vkzu7pFXSdPVe5bzZ6CxGwzGrta2nZ2fSnBGRqhUrVnVvLwa9TvWGn8HmQdmT8fi",
      "assets": [
        {
          "tokenId": "19475d9a78377ff0f36e9826cec439727bea522f6ffa3bda32e20d2f8b3103ac",
          "index": 0,
          "amount": 1,
          "name": "POOL",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "059a9dce07",
          "sigmaType": "SLong",
          "renderedValue": "7980877"
        },
        "R5": {
          "serializedValue": "04bcca25",
          "sigmaType": "SInt",
          "renderedValue": "307870"
        },
        "R6": {
          "serializedValue": "0e20277c78751ff6f68d4dcd082eeea9506324911a875b6b9cd4d177d4fcab061327",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "277c78751ff6f68d4dcd082eeea9506324911a875b6b9cd4d177d4fcab061327"
        }
      },
      "spentTransactionId": "0f7cabf3c5ff31ade63fb3190cac822bb8bc7ba5e9a55906adb2d5e2777ea6fb",
      "mainChain": true
    },
    {
      "boxId": "9e9fe34492903cd923af8cb19ed077e81223d7fa573486008e8183205cc8255a",
      "transactionId": "631f7349c0b11ded2abc7be5fe27fe33c115402d98c4c48097aa3557e9be79eb",
      "blockId": "b7f504abb5496bfe836070e4440224c535845ef767dc3bf5353c30d9fa2a7a50",
      "value": 1000000,
      "index": 1,
      "globalIndex": 1256498,
      "creationHeight": 307851,
      "settlementHeight": 307853,
      "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": "422c1921837dcab7efdffe7513c233c9b42d67a528eacd02badf44a3c937dc1e",
      "mainChain": true
    },
    {
      "boxId": "51e5afae1b56c1e2ed27decd4bd465961e3c17f69a0a684b2a2ac01a876736d0",
      "transactionId": "631f7349c0b11ded2abc7be5fe27fe33c115402d98c4c48097aa3557e9be79eb",
      "blockId": "b7f504abb5496bfe836070e4440224c535845ef767dc3bf5353c30d9fa2a7a50",
      "value": 4641500000,
      "index": 2,
      "globalIndex": 1256499,
      "creationHeight": 307851,
      "settlementHeight": 307853,
      "ergoTree": "0008cd03a40b2249d6a9cc7eedf21188842acef44f3df110a58a687ba3e28cbc2e97ead2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a40b22,2bf15e,...)))}",
      "address": "9hi3xmKtKf3FVwt9jTiXQsrjMjjtzKzTNCsBUrVMKA2xcYMsvyc",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "e6c996fc88eeb5e1677e4f39c502e0db341db6faa4d5794145b9fc0c100dc2e1",
      "mainChain": true
    }
  ],
  "size": 727,
  "isUnconfirmed": false
}