Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.11 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.009 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.32 KB
Received time: 12/2/2021 01:36:03 AM
Included in blocks: 632,158
Confirmations: 1,124,964
Total coins transferred: 0.11 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000074 ERG
Raw Transaction Data
{
  "id": "8c643cb0cd843ea9aa937360c8dbe63f62da63d90e5b57c4e4d1290e125e0f40",
  "blockId": "1a41aa946bae8be34c95db10162adaa617baa1484920adce1d5b30d1648435b4",
  "inclusionHeight": 632158,
  "timestamp": 1638408963643,
  "index": 18,
  "globalIndex": 2215125,
  "numConfirmations": 1124964,
  "inputs": [
    {
      "boxId": "c26827abe455f0708a8c99dc24458d9afef3c94fd678c26b40930c51bf552ff2",
      "value": 110000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "1a41aa946bae8be34c95db10162adaa617baa1484920adce1d5b30d1648435b4",
      "outputTransactionId": "e0f6a688a4d212a8df6b935127d725a74c15538f05c758e0ae64e568f2033fd3",
      "outputIndex": 0,
      "outputGlobalIndex": 10338073,
      "outputCreatedAt": 632156,
      "outputSettledAt": 632158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(0,8,-51,2,-103,-25,32,-9,-82,-71,3,29,-60,-60,-8,-106,16,-50,-11,-121,-48,28,38,-68,108,55,102,-95,-127,-32,-40,-102,-48,101,-50,37)\n2: Coll(16,47,4,0,4,2,4,2,4,0,4,2,4,0,4,0,4,4,4,2,4,2,5,0,4,2,4,0,5,1,4,2,4,0,5,-48,15,4,6,4,4,4,2,4,0,4,0,5,-48,15,5,0,4,8,4,6,4,0,4,0,4,0,4,4,4,0,4,2,4,0,4,2,4,0,4,0,5,4,5,0,4,0,4,8,4,10,4,4,4,0,4,0,5,0,4,0,14,32,-98,-68)\n3: 0\n4: 0\n5: 0\n6: 0\n7: 13000000000\n8: 1\n9: 3000000000\n10: 0\n11: 1638494762184\n12: 0\n13: 30000000000\n14: true\n15: false\n16: 1\n17: Coll()\n18: 3\n19: 1\n20: Coll(0,8,-51,3,-81,100,88,73,46,119,-121,23,-91,46,70,-126,-118,17,109,55,-80,24,21,61,96,-126,-1,118,-61,86,-51,-71,-7,-34,-33,50)\n21: 1\n22: 100000000\n23: 0\n24: 2000000\n25: 2\n26: 1638408408711",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.propositionBytes\n  val coll3 = placeholder[Coll[Byte]](1)\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((coll2 == placeholder[Coll[Byte]](2)) && (box1.tokens.size > placeholder[Int](3))) && (\n                            box1.R4[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](4)).id) == coll3\n                          )\n                        ) && (box1.R5[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](5)).id) == coll3)\n                      ) && (box1.R6[Coll[Long]].get(placeholder[Int](6)) == placeholder[Long](7))\n                    ) && (box1.R6[Coll[Long]].get(placeholder[Int](8)) == placeholder[Long](9))\n                  ) && (box1.R7[Long].getOrElse(placeholder[Long](10)) == placeholder[Long](11))\n                ) && (box1.R8[Long].getOrElse(placeholder[Long](12)) == placeholder[Long](13))\n              ) && (placeholder[Boolean](14) || (placeholder[Boolean](15) && (box1.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17))))\n            ) && (OUTPUTS.size == placeholder[Int](18))\n          ) && (OUTPUTS(placeholder[Int](19)).propositionBytes == placeholder[Coll[Byte]](20))\n        ) && (OUTPUTS(placeholder[Int](21)).value == placeholder[Long](22))\n      ) || (\n        (\n          (box1.value >= INPUTS.fold(placeholder[Long](23), {(tuple4: (Long, Box)) => tuple4._1 + tuple4._2.value }) - placeholder[Long](24)) && (\n            coll2 == coll3\n          )\n        ) && (OUTPUTS.size == placeholder[Int](25))\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](26))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "97b266c3f5850db3762789eae210bcfd5fdfe1b7f92b4d606e4589d327cf8254",
          "index": 0,
          "amount": 1,
          "name": "ERGnomes Loyalty Crypto vs Fiat [215/221]",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "46aa0a01d27d2366c090eef5358169274403824885e0fb9d6bf50f7246d2a174",
      "value": 16000000,
      "index": 0,
      "outputBlockId": "7e9c91f5fe6f7b4e25f055378d935513a2e8b60ba796eacef1423cb515a4994a",
      "outputTransactionId": "5772538f683adcb1344c512de57b874b5d9eff1aadfd0c421c16b352d41bda24",
      "outputIndex": 0,
      "ergoTree": "0008cd02d84d2e1ca735ce23f224bd43cd43ed67053356713a8a6920965b3bde933648dc",
      "address": "9gAKeRu1W4Dh6adWXnnYmfqjCTnxnSMtym2LPPMPErCkusCd6F3",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03af6458492e778717a52e46828a116d37b018153d6082ff76c356cdb9f9dedf32",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03af6458492e778717a52e46828a116d37b018153d6082ff76c356cdb9f9dedf32"
        },
        "R6": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "699df8bc5e5be95f4fb575d90a7d5e610a6cb55353690f627c373e99b06bba2d",
      "transactionId": "8c643cb0cd843ea9aa937360c8dbe63f62da63d90e5b57c4e4d1290e125e0f40",
      "blockId": "1a41aa946bae8be34c95db10162adaa617baa1484920adce1d5b30d1648435b4",
      "value": 9000000,
      "index": 0,
      "globalIndex": 10338088,
      "creationHeight": 632156,
      "settlementHeight": 632158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 2\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: -1\n14: 1\n15: 0\n16: 1000\n17: 3\n18: 2\n19: 1\n20: 0\n21: 0\n22: 1000\n23: 0\n24: 4\n25: 3\n26: 0\n27: 0\n28: 0\n29: 2\n30: 0\n31: 1\n32: 0\n33: 1\n34: 0\n35: 0\n36: 2\n37: 0\n38: 0\n39: 4\n40: 5\n41: 2\n42: 0\n43: 0\n44: 0\n45: 0\n46: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val l2 = CONTEXT.preHeader.timestamp\n  val l3 = SELF.R7[Long].get\n  val coll4 = SELF.tokens\n  val i5 = coll4.size\n  val coll6 = if (i5 > placeholder[Int](1)) { coll4(placeholder[Int](2))._1 } else { Coll[Byte]() }\n  val bool7 = coll6.size == placeholder[Int](3)\n  val func8 = {(box8: Box) => if (bool7) { box8.value } else {(\n      val coll10 = box8.tokens\n      val i11 = coll10.size\n      if ((i11 == placeholder[Int](4)) && (coll10(placeholder[Int](5))._1 == coll6)) { coll10(placeholder[Int](6))._2 } else { if ((i11 == placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)) { coll10(placeholder[Int](9))._2 } else { placeholder[Long](10) } }\n    )} }\n  val l9 = func8(SELF)\n  val coll10 = SELF.R6[Coll[Long]].get\n  val l11 = coll10(placeholder[Int](11))\n  val l12 = coll10(placeholder[Int](12))\n  val l13 = SELF.R8[Long].get\n  val bool14 = l13 != placeholder[Long](13)\n  val box15 = OUTPUTS(placeholder[Int](14))\n  val coll16 = SELF.R5[Coll[Byte]].get\n  val coll17 = SELF.R4[Coll[Byte]].get\n  val box18 = CONTEXT.dataInputs(placeholder[Int](15))\n  val coll19 = box18.R7[Coll[Long]].get\n  val bool20 = l2 >= l3\n  val l21 = l9 * box18.R4[Int].get.toLong / placeholder[Long](16)\n  val i22 = OUTPUTS.size\n  val box23 = if (i22 < placeholder[Int](17)) { SELF } else { OUTPUTS(placeholder[Int](18)) }\n  val opt24 = box15.R4[Box]\n  val box25 = if (opt24.isDefined) { opt24.get } else { OUTPUTS(i22 - placeholder[Int](19)) }\n  val opt26 = box25.R4[Int]\n  val l27 = l9 * if (opt26.isDefined) { max(opt26.get, placeholder[Int](20)) } else { placeholder[Int](21) }.toLong / placeholder[Long](22)\n  val l28 = box18.R6[Long].get\n  val bool29 = l27 == placeholder[Long](23)\n  val box30 = if (i22 < placeholder[Int](24)) { SELF } else { OUTPUTS(placeholder[Int](25)) }\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (((box1.value >= SELF.value) && (l2 < l3)) && (box1.tokens(placeholder[Int](26)) == coll4(placeholder[Int](27)))) && (\n                                      ((func8(box1) >= l9 + l11) || (l9 < l12)) || (bool14 && (func8(box1) >= l13))\n                                    )\n                                  ) && (func8(box1) >= l12)\n                                ) && (box1.propositionBytes == SELF.propositionBytes)\n                              ) && (i5 == box1.tokens.size)\n                            ) && (box15.propositionBytes == coll16)\n                          ) && (func8(box15) >= l9)\n                        ) && (box1.R4[Coll[Byte]].get == coll17)\n                      ) && (box1.R5[Coll[Byte]].get.size > placeholder[Int](28))\n                    ) && (box1.R6[Coll[Long]].get.size == placeholder[Int](29))\n                  ) && (box1.R6[Coll[Long]].get(placeholder[Int](30)) == l12)\n                ) && (box1.R6[Coll[Long]].get(placeholder[Int](31)) == l11)\n              ) && (box1.R7[Long].get == if (l3 - l2 <= coll19(placeholder[Int](32))) { l3 + coll19(placeholder[Int](33)) } else { l3 })\n            ) && (box1.R8[Long].get == l13)\n          ) && (box1.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])\n        ) || (\n          (\n            (\n              (\n                (\n                  (\n                    (((bool20 || ((l9 >= l13) && bool14)) && (func8(box15) >= l21)) && (box15.propositionBytes == box18.R5[Coll[Byte]].get)) && (\n                      box1.tokens(placeholder[Int](34)) == coll4(placeholder[Int](35))\n                    )\n                  ) && (box1.propositionBytes == coll16)\n                ) && (func8(box23) >= l9 - l21 - l27 - if (bool7) { l28 * placeholder[Long](36) } else { placeholder[Long](37) })\n              ) && (box23.propositionBytes == coll17)\n            ) && (\n              bool29 || (\n                ((blake2b256(box25.bytes) == coll4(placeholder[Int](38))._1) && (func8(box30) >= l27)) && (box30.propositionBytes == box25.propositionBytes)\n              )\n            )\n          ) && (i22 == if (bool29) { placeholder[Int](39) } else { placeholder[Int](40) })\n        )\n      ) || (\n        (\n          ((((l9 < l12) && bool20) && (i22 == placeholder[Int](41))) && (box1.tokens(placeholder[Int](42)) == coll4(placeholder[Int](43)))) && (\n            box1.propositionBytes == coll17\n          )\n        ) && (func8(box1) >= l9 - if (bool7) { l28 } else { placeholder[Long](44) })\n      )\n    ) && (box18.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46))\n  )\n}",
      "address": "5t19JGogcry9DRipPNcLs4mSnHYXQoqazPDMXXcdMixeH2mkgzMvWXjENsHRJzfHAFnTL5FBDHQCzBcnYg4CU1LcJZMmUXAaDcsKdgfBk4sE9BDbLt6Yxkjh6ow65HGCgxkwNAEArMAz8tqZL7GzKx4AvYVkqG3ExKggwDyVrvx7YzN8xeFtEUcnVkDKM8ow7YWW8eee2EidfYArPRd8fxQr5EuZVEiQbzKZ6m4xgtHfhsEptE3pNdt69F94gkytpounxBYpJPqfeZ8hVxLk8qaXTGFiJTDTt2p9D5ue4skZf4AGSLJyuzpMkjdifczQNc784ic1nbTAcjL3FKGHqnkaVwnCxU7go45X9ZFHwdpc6v67vFDoHzAAqypax4UFF1ux84X5G4xK5NFFjMZtvPyjqn2ErNXVgHBs2AkpngBPjnVRiN4sWkhR66NfBNpigU8PaTiB4Rim2FMZSXuyhRySCA1BV8ydVxz45T9VHqHA6WYkXp2ppAHmc29F8MrHX5Ew2x6amraFgvsdgAB3XiiEqEjRc83mhZVL1QgKi5CdeeGNYiXeCkxaRhG3j6r1JdAgzGDAQfN8sdRcEc1aYxbPfbqM1s81NFm7K1UmMUxrfCUp73poGAfV8FvQa2akyascKBaSCqvwuHW2ZP4oMoJHjZjTAgQjQF8cBNF9YLo6wXEtMQT5FYc3bHSgd4xZXCk2oHYjUSACW1Z5e7KZ3Qw1Sa2UvpMdWhbZ5Ncu99WT7v6nHFLJvHEPM7evr41nhCe9Yt3pAq4ee4rKCtEer4vQWq2b5UJSDXDj5VkVepQ5tmeXfXrBc42Yqucy6VeQSE7W66o4hQjwW1iN3yipmdTmpaAEASmbXwCxRSm7g4sNkfA969xo14PZQpBY3QUGqgCWoqJJVFWMhfvD53rzfgJpA4JH5B1fvY99q5iwbsAKdJfZi4fxub9QWZSNQfht4JqXMDmc6XTkWLE4VCxBRQYzF44H2E6mdf5EbZHUrpXj5c2VfC6PZGg9qmrz14aZjafM4M7kRTqMwVB8R9r7kXM1FWidGoprp2fRoJUALAKxKDSTVHX8ejT8zkSKJ5W45dSQjMe3WUDTeKhiy6Fqio2ukV8THaizTp6yZWxMVdu3a15pGBv1kmXZJEnLN9BsxyhnW2iGM7tvwK1jAneXeBH1uVdusR59j5ubCGKeoaS5ToC8Ky6wZ2iCyb2JF5CTvR4sMUg2ksmUm1dk8EoRjJ9i5gkqY",
      "assets": [
        {
          "tokenId": "97b266c3f5850db3762789eae210bcfd5fdfe1b7f92b4d606e4589d327cf8254",
          "index": 0,
          "amount": 1,
          "name": "ERGnomes Loyalty Crypto vs Fiat [215/221]",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd0299e720f7aeb9031dc4c4f89610cef587d01c26bc6c3766a181e0d89ad065ce25",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd0299e720f7aeb9031dc4c4f89610cef587d01c26bc6c3766a181e0d89ad065ce25"
        },
        "R6": {
          "serializedValue": "11028088e2ed6080f882ad16",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[13000000000,3000000000]"
        },
        "R8": {
          "serializedValue": "0580b09dc2df01",
          "sigmaType": "SLong",
          "renderedValue": "30000000000"
        },
        "R7": {
          "serializedValue": "0590d3afdeaf5f",
          "sigmaType": "SLong",
          "renderedValue": "1638494762184"
        },
        "R9": {
          "serializedValue": "0e457b22696e697469616c426964223a31333030303030303030302c22737461727454696d65223a313633383430383032343335302c226465736372697074696f6e223a22227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b22696e697469616c426964223a31333030303030303030302c22737461727454696d65223a313633383430383032343335302c226465736372697074696f6e223a22227d"
        },
        "R4": {
          "serializedValue": "0e240008cd0299e720f7aeb9031dc4c4f89610cef587d01c26bc6c3766a181e0d89ad065ce25",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd0299e720f7aeb9031dc4c4f89610cef587d01c26bc6c3766a181e0d89ad065ce25"
        }
      },
      "spentTransactionId": "12cbde714f9cc6d56d2b04dec134bc40797638c3f136696f0f5e55dbb4c9a998",
      "mainChain": true
    },
    {
      "boxId": "5ac748768bbfcf605d13cefeebbc3c3697d8a4fd6e2765619c34a69faa78ce47",
      "transactionId": "8c643cb0cd843ea9aa937360c8dbe63f62da63d90e5b57c4e4d1290e125e0f40",
      "blockId": "1a41aa946bae8be34c95db10162adaa617baa1484920adce1d5b30d1648435b4",
      "value": 100000000,
      "index": 1,
      "globalIndex": 10338089,
      "creationHeight": 632156,
      "settlementHeight": 632158,
      "ergoTree": "0008cd03af6458492e778717a52e46828a116d37b018153d6082ff76c356cdb9f9dedf32",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(af6458,ba61bf,...)))}",
      "address": "9ho3quMB1Vs6ejycB4t3tNw5oTkiu2ZSGT9VfBFshxb21baT3ex",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a6abaa68de6deb984c00c680fa90dfbee852691729afb59007c6368aad42cc55",
      "mainChain": true
    },
    {
      "boxId": "9e9fe560f5e9fe7f0a95e629c34b9fb9753d2701387592c6a49a28065d1b6266",
      "transactionId": "8c643cb0cd843ea9aa937360c8dbe63f62da63d90e5b57c4e4d1290e125e0f40",
      "blockId": "1a41aa946bae8be34c95db10162adaa617baa1484920adce1d5b30d1648435b4",
      "value": 1000000,
      "index": 2,
      "globalIndex": 10338090,
      "creationHeight": 632156,
      "settlementHeight": 632158,
      "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": "e7a1cda3613ddfca738d896283dfbc0a7454d4a46c2a85d5beb6f45cc7b4fbb1",
      "mainChain": true
    }
  ],
  "size": 1351,
  "isUnconfirmed": false
}