Transaction
ID: 92ec3b7b2e...fec4
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.101 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.8979 ERG
Transaction Details
Confirmations: 345,304
Total coins transferred: 1 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000446 ERG
Raw Transaction Data
{
"id": "92ec3b7b2e1f22c84f1f066c9f29ba2ed07e89663fe26485f52ee60b693dfec4",
"blockId": "bd54c5775a90ac3a3225cb3a574363ec497d2d453d8d2fcd8119f1fb3b482742",
"inclusionHeight": 1415006,
"timestamp": 1733939015179,
"index": 13,
"globalIndex": 8236612,
"numConfirmations": 345304,
"inputs": [
{
"boxId": "65f70e18c1a0409f3c58f05d4738c79cac66b619f4af20e06b3711553f5c72d1",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "455c34840a45e6bfdc1e3aa2b72324be8117a12c417d7b1a540d239ef8369590",
"outputTransactionId": "af5559c847f894c252d3338ffdda83ee43bcc0d915ee88598dd7b3822fb7acac",
"outputIndex": 0,
"outputGlobalIndex": 44696961,
"outputCreatedAt": 1414732,
"outputSettledAt": 1414734,
"ergoTree": "19e7062604020402040004000400050004020402050004020500040204000400040204fe010406040408cd02baf6e66f0a13e447971d005e8f0524163524eb4724e5cd7b8f676e96aa0ad8a304020404040a05c8010404010104020e203c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe00500040201010e203c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0040404020e20ec5814e47f21a83f2a855dcb804a3c3dffad100580400e50a7d010a29b9b3bc504c0a38601050004020500d824d601db6308a7d602b17201d6039372027300d6049572038300028cb2720173010001d605b2a5730200d606db63087205d607e4c6a70404d608e4c6a70505d609e4c6a70705d60a93c2a7c27205d60bedededededed938cb27201730300018cb2720673040001937207e4c672050404937208e4c672050505937209e4c67205070593e4c6a7080ee4c67205080e93e4c6a7090ee4c67205090e720ad60ce4c6a70659d60d8c720c02d60ee4c672050659d60f8c720e02d61093720d720fd611c17205d612c1a7d61395720373058cb2720173060002d614b17206d6159372147307d61699721395721573088cb2720673090002d6178c720e01d6188c720c01d6199372187217d61a99957215730a8cb27206730b00027213d61b9972127211d61c95720a721b7212d61dd9011d4463d802d61fc28c721d02d620d08c721d0195937eb2721f730c0004730d93721f7220d801d621b1721f93b47220730eb17220b4721f95917221730f731073117221d61e7312d61fb2a5731300d620da721d018602721e721fd621b2a5731400d6229d9c721c7e7315057316d623edededed720b721972109372127211edec721593721473179572157318938cb2720673190001731ad62499957215731b8cb27206731c00027213d1eded957203731d937204731eec7203937202731fececececededed720b72109399721172129c721672099372169972177218edededed720b721993721a99720f720ded91a372078f72187208ed93721b9c721a72099372049572158300028cb2720673200001ededededededec720b93721c72127219721092721872087220ed93c172217222937321cbc2722193c1721f9999721c72227e732205eded722372208f72247323eded7223da721d018602721eb2a47324009172247325",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 127\n16: 3\n17: 2\n18: SigmaProp(ProveDlog(ECPoint(baf6e6,8040dc,...)))\n19: 1\n20: 2\n21: 5\n22: 100\n23: 2\n24: true\n25: 1\n26: Coll(60,123,11,7,-63,-10,-66,111,33,-58,23,-37,74,-44,84,-103,-20,-41,40,63,-28,-34,8,-34,-61,-89,17,122,70,99,-21,-32)\n27: 0\n28: 1\n29: true\n30: Coll(60,123,11,7,-63,-10,-66,111,33,-58,23,-37,74,-44,84,-103,-20,-41,40,63,-28,-34,8,-34,-61,-89,17,122,70,99,-21,-32)\n31: 2\n32: 1\n33: Coll(-20,88,20,-28,127,33,-88,63,42,-123,93,-53,-128,74,60,61,-1,-83,16,5,-128,64,14,80,-89,-48,16,-94,-101,-101,59,-59)\n34: 1100000\n35: 0\n36: 1\n37: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = if (bool3) { Coll[Byte]() } else { coll1(placeholder[Int](1))._1 }\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = SELF.propositionBytes == box5.propositionBytes\n val bool11 = (\n (\n (\n (((coll1(placeholder[Int](3))._1 == coll6(placeholder[Int](4))._1) && (i7 == box5.R4[Int].get)) && (l8 == box5.R5[Long].get)) && (\n l9 == box5.R7[Long].get\n )\n ) && (SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get)\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool10\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box5.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = l13 == l15\n val l17 = box5.value\n val l18 = SELF.value\n val l19 = if (bool3) { placeholder[Long](5) } else { coll1(placeholder[Int](6))._2 }\n val i20 = coll6.size\n val bool21 = i20 == placeholder[Int](7)\n val l22 = l19 - if (bool21) { placeholder[Long](8) } else { coll6(placeholder[Int](9))._2 }\n val l23 = tuple14._1\n val l24 = tuple12._1\n val bool25 = l24 == l23\n val l26 = if (bool21) { placeholder[Long](10) } else { coll6(placeholder[Int](11))._2 } - l19\n val l27 = l18 - l17\n val l28 = if (bool10) { l27 } else { l18 }\n val func29 = {(tuple29: (SigmaProp, Box)) =>\n val coll31 = tuple29._2.propositionBytes\n val coll32 = tuple29._1.propBytes\n if (coll31(placeholder[Int](12)).toInt == placeholder[Int](13)) { coll31 == coll32 } else {(\n val i33 = coll31.size\n coll32.slice(placeholder[Int](14), coll32.size) == coll31.slice(\n if (i33 > placeholder[Int](15)) { placeholder[Int](16) } else { placeholder[Int](17) }, i33\n )\n )}\n }\n val prop30 = placeholder[SigmaProp](18)\n val box31 = OUTPUTS(placeholder[Int](19))\n val bool32 = func29((prop30, box31))\n val box33 = OUTPUTS(placeholder[Int](20))\n val l34 = l28 * placeholder[Int](21).toLong / placeholder[Long](22)\n val bool35 = (((bool11 && bool25) && bool16) && (l18 == l17)) && (\n (bool21 || (i20 == placeholder[Int](23))) && if (bool21) { placeholder[Boolean](24) } else { coll6(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26) }\n )\n val l36 = if (bool21) { placeholder[Long](27) } else { coll6(placeholder[Int](28))._2 } - l19\n sigmaProp(\n (if (bool3) { placeholder[Boolean](29) } else { coll4 == placeholder[Coll[Byte]](30) } && (bool3 || (i2 == placeholder[Int](31)))) && (\n (\n (\n (\n (((bool11 && bool16) && (l17 - l18 == l22 * l9)) && (l22 == l23 - l24)) || (\n (((bool11 && bool25) && (l26 == l15 - l13)) && ((HEIGHT > i7) && (l24 < l8))) && (\n (l27 == l26 * l9) && (coll4 == if (bool21) { Coll[Byte]() } else { coll6(placeholder[Int](32))._1 })\n )\n )\n ) || (\n (\n (((((bool11 || (l28 == l18)) && bool25) && bool16) && (l24 >= l8)) && bool32) && (\n (box33.value == l34) && (placeholder[Coll[Byte]](33) == blake2b256(box33.propositionBytes))\n )\n ) && (box31.value == l28 - l34 - placeholder[Int](34).toLong)\n )\n ) || ((bool35 && bool32) && (l36 < placeholder[Long](35)))\n ) || ((bool35 && func29((prop30, INPUTS(placeholder[Int](36))))) && (l36 > placeholder[Long](37)))\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "642bfee0171ab62ba6df0797e8e4ba8d5adc77fc40f226cb88b2dd5a7103db84",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
"index": 1,
"amount": 100000000,
"name": "BeneSpace",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R6": {
"serializedValue": "590000",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[0,0]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
},
"R9": {
"serializedValue": "0eb8027b227469746c65223a2253706163652058202d20546f20746865204d6f6f6e222c226465736372697074696f6e223a224f4e4c592032342048554d414e53204841564520464c4f574e20544f20544845204d4f4f4e2e5c6e31322057414c4b4544204f4e2049545320535552464143452e5c6e4e4f204f4e4520484153204245454e204241434b2053494e434520313937322e222c22696d616765223a2268747470733a2f2f73746174696330312e6e79742e636f6d2f696d616765732f323032312f30342f31362f736369656e63652f31365350414345582d70726f6d6f312f31365350414345582d70726f6d6f312d73757065724a756d626f2e6a7067222c226c696e6b223a2268747470733a2f2f7777772e7370616365782e636f6d2f68756d616e7370616365666c696768742f6d6f6f6e2f227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2253706163652058202d20546f20746865204d6f6f6e222c226465736372697074696f6e223a224f4e4c592032342048554d414e53204841564520464c4f574e20544f20544845204d4f4f4e2e5c6e31322057414c4b4544204f4e2049545320535552464143452e5c6e4e4f204f4e4520484153204245454e204241434b2053494e434520313937322e222c22696d616765223a2268747470733a2f2f73746174696330312e6e79742e636f6d2f696d616765732f323032312f30342f31362f736369656e63652f31365350414345582d70726f6d6f312f31365350414345582d70726f6d6f312d73757065724a756d626f2e6a7067222c226c696e6b223a2268747470733a2f2f7777772e7370616365782e636f6d2f68756d616e7370616365666c696768742f6d6f6f6e2f227d"
},
"R4": {
"serializedValue": "04b891ad01",
"sigmaType": "SInt",
"renderedValue": "1418332"
}
}
},
{
"boxId": "a12deb89c686052d8fc11d69b3c23020762225fcbb64faa37b68d5f35fcc390d",
"value": 1000000000,
"index": 1,
"spendingProof": "75aa2e31cc2ed22bd7e4ebb9090a00291c53b2c7b1634db14cbe60f7f5f78e25e947d40690297fb1aa9dd10318220b83119e1257e1266559",
"outputBlockId": "e9e45f01500d53ac5428a208f22f749aa3f8b5a50286fb131a87b8dee015df3f",
"outputTransactionId": "743c1c95ad97ca6b93fe10ff051d16aa0786d5e0cb331d4f3a7bbcfaa9636dfe",
"outputIndex": 0,
"outputGlobalIndex": 44705001,
"outputCreatedAt": 1414988,
"outputSettledAt": 1414990,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "ea906af97a7b5627d5be29a19593b88bb5ff58ed0a075953fbafa74d75c9a895",
"transactionId": "92ec3b7b2e1f22c84f1f066c9f29ba2ed07e89663fe26485f52ee60b693dfec4",
"blockId": "bd54c5775a90ac3a3225cb3a574363ec497d2d453d8d2fcd8119f1fb3b482742",
"value": 101000000,
"index": 0,
"globalIndex": 44706364,
"creationHeight": 1415004,
"settlementHeight": 1415006,
"ergoTree": "19e7062604020402040004000400050004020402050004020500040204000400040204fe010406040408cd02baf6e66f0a13e447971d005e8f0524163524eb4724e5cd7b8f676e96aa0ad8a304020404040a05c8010404010104020e203c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe00500040201010e203c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0040404020e20ec5814e47f21a83f2a855dcb804a3c3dffad100580400e50a7d010a29b9b3bc504c0a38601050004020500d824d601db6308a7d602b17201d6039372027300d6049572038300028cb2720173010001d605b2a5730200d606db63087205d607e4c6a70404d608e4c6a70505d609e4c6a70705d60a93c2a7c27205d60bedededededed938cb27201730300018cb2720673040001937207e4c672050404937208e4c672050505937209e4c67205070593e4c6a7080ee4c67205080e93e4c6a7090ee4c67205090e720ad60ce4c6a70659d60d8c720c02d60ee4c672050659d60f8c720e02d61093720d720fd611c17205d612c1a7d61395720373058cb2720173060002d614b17206d6159372147307d61699721395721573088cb2720673090002d6178c720e01d6188c720c01d6199372187217d61a99957215730a8cb27206730b00027213d61b9972127211d61c95720a721b7212d61dd9011d4463d802d61fc28c721d02d620d08c721d0195937eb2721f730c0004730d93721f7220d801d621b1721f93b47220730eb17220b4721f95917221730f731073117221d61e7312d61fb2a5731300d620da721d018602721e721fd621b2a5731400d6229d9c721c7e7315057316d623edededed720b721972109372127211edec721593721473179572157318938cb2720673190001731ad62499957215731b8cb27206731c00027213d1eded957203731d937204731eec7203937202731fececececededed720b72109399721172129c721672099372169972177218edededed720b721993721a99720f720ded91a372078f72187208ed93721b9c721a72099372049572158300028cb2720673200001ededededededec720b93721c72127219721092721872087220ed93c172217222937321cbc2722193c1721f9999721c72227e732205eded722372208f72247323eded7223da721d018602721eb2a47324009172247325",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 127\n16: 3\n17: 2\n18: SigmaProp(ProveDlog(ECPoint(baf6e6,8040dc,...)))\n19: 1\n20: 2\n21: 5\n22: 100\n23: 2\n24: true\n25: 1\n26: Coll(60,123,11,7,-63,-10,-66,111,33,-58,23,-37,74,-44,84,-103,-20,-41,40,63,-28,-34,8,-34,-61,-89,17,122,70,99,-21,-32)\n27: 0\n28: 1\n29: true\n30: Coll(60,123,11,7,-63,-10,-66,111,33,-58,23,-37,74,-44,84,-103,-20,-41,40,63,-28,-34,8,-34,-61,-89,17,122,70,99,-21,-32)\n31: 2\n32: 1\n33: Coll(-20,88,20,-28,127,33,-88,63,42,-123,93,-53,-128,74,60,61,-1,-83,16,5,-128,64,14,80,-89,-48,16,-94,-101,-101,59,-59)\n34: 1100000\n35: 0\n36: 1\n37: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = if (bool3) { Coll[Byte]() } else { coll1(placeholder[Int](1))._1 }\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = SELF.propositionBytes == box5.propositionBytes\n val bool11 = (\n (\n (\n (((coll1(placeholder[Int](3))._1 == coll6(placeholder[Int](4))._1) && (i7 == box5.R4[Int].get)) && (l8 == box5.R5[Long].get)) && (\n l9 == box5.R7[Long].get\n )\n ) && (SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get)\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool10\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box5.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = l13 == l15\n val l17 = box5.value\n val l18 = SELF.value\n val l19 = if (bool3) { placeholder[Long](5) } else { coll1(placeholder[Int](6))._2 }\n val i20 = coll6.size\n val bool21 = i20 == placeholder[Int](7)\n val l22 = l19 - if (bool21) { placeholder[Long](8) } else { coll6(placeholder[Int](9))._2 }\n val l23 = tuple14._1\n val l24 = tuple12._1\n val bool25 = l24 == l23\n val l26 = if (bool21) { placeholder[Long](10) } else { coll6(placeholder[Int](11))._2 } - l19\n val l27 = l18 - l17\n val l28 = if (bool10) { l27 } else { l18 }\n val func29 = {(tuple29: (SigmaProp, Box)) =>\n val coll31 = tuple29._2.propositionBytes\n val coll32 = tuple29._1.propBytes\n if (coll31(placeholder[Int](12)).toInt == placeholder[Int](13)) { coll31 == coll32 } else {(\n val i33 = coll31.size\n coll32.slice(placeholder[Int](14), coll32.size) == coll31.slice(\n if (i33 > placeholder[Int](15)) { placeholder[Int](16) } else { placeholder[Int](17) }, i33\n )\n )}\n }\n val prop30 = placeholder[SigmaProp](18)\n val box31 = OUTPUTS(placeholder[Int](19))\n val bool32 = func29((prop30, box31))\n val box33 = OUTPUTS(placeholder[Int](20))\n val l34 = l28 * placeholder[Int](21).toLong / placeholder[Long](22)\n val bool35 = (((bool11 && bool25) && bool16) && (l18 == l17)) && (\n (bool21 || (i20 == placeholder[Int](23))) && if (bool21) { placeholder[Boolean](24) } else { coll6(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26) }\n )\n val l36 = if (bool21) { placeholder[Long](27) } else { coll6(placeholder[Int](28))._2 } - l19\n sigmaProp(\n (if (bool3) { placeholder[Boolean](29) } else { coll4 == placeholder[Coll[Byte]](30) } && (bool3 || (i2 == placeholder[Int](31)))) && (\n (\n (\n (\n (((bool11 && bool16) && (l17 - l18 == l22 * l9)) && (l22 == l23 - l24)) || (\n (((bool11 && bool25) && (l26 == l15 - l13)) && ((HEIGHT > i7) && (l24 < l8))) && (\n (l27 == l26 * l9) && (coll4 == if (bool21) { Coll[Byte]() } else { coll6(placeholder[Int](32))._1 })\n )\n )\n ) || (\n (\n (((((bool11 || (l28 == l18)) && bool25) && bool16) && (l24 >= l8)) && bool32) && (\n (box33.value == l34) && (placeholder[Coll[Byte]](33) == blake2b256(box33.propositionBytes))\n )\n ) && (box31.value == l28 - l34 - placeholder[Int](34).toLong)\n )\n ) || ((bool35 && bool32) && (l36 < placeholder[Long](35)))\n ) || ((bool35 && func29((prop30, INPUTS(placeholder[Int](36))))) && (l36 > placeholder[Long](37)))\n )\n )\n}",
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{
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"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
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"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)}",
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}