Transaction
ID: f85927ed43...95b9
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.94 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.93 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 92,071
Total coins transferred: 4.94 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000429 ERG
Raw Transaction Data
{
"id": "f85927ed43bebf6f333b4e1f460dddcf8472b0556cc8fbbeb8b77eee9bc495b9",
"blockId": "a15fd5a743c299faf6a128f43fd517332926b87c86199c0b6d7e88c6859bb3eb",
"inclusionHeight": 1670332,
"timestamp": 1764856956777,
"index": 7,
"globalIndex": 9910830,
"numConfirmations": 92071,
"inputs": [
{
"boxId": "02c3fe296862662380de285698d26a0b82a2d84f634e85642e52dada8d3e2486",
"value": 1000000,
"index": 0,
"spendingProof": "dc09ad97ee41c8ace3a85451aaedc3c2c97afacf324bdeb94ce1d9612a1d0428abf777a331e0f7f1d9f210dd50e95976a01b388dbfaabefb",
"outputBlockId": "277fe7f0fae56c31a46ee24c0cde34e4e2f34b324b9fe4053e5a4eef7186f8a6",
"outputTransactionId": "ac18d820c81377a14674ac972fcf8ef43633d0528c928398a6f10b55866f01a6",
"outputIndex": 0,
"outputGlobalIndex": 52029260,
"outputCreatedAt": 1670323,
"outputSettledAt": 1670325,
"ergoTree": "0008cd02e45f52ffb0ac1e95c5f61b2ad6a2232bb35322f504fff3bb53a28a66b2886302",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))}",
"address": "9gFdypWtoxBBgBaFSg46ZUKXxPYaJz5bfg4WLF6jA1VazoUoonq",
"assets": [
{
"tokenId": "14ea30ff7818089006434b9be98e49a392c9e430da8ead98686cd7bc0fb48a7f",
"index": 0,
"amount": 1,
"name": " ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0120",
"sigmaType": "Coll[SByte]",
"renderedValue": "20"
},
"R5": {
"serializedValue": "0e0120",
"sigmaType": "Coll[SByte]",
"renderedValue": "20"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "9eb077be78d3099f63cb8e492b726682dafec66c50fda3da755c273b4fab8f00",
"value": 4942000000,
"index": 1,
"spendingProof": "5314b5adbce2074f809bbe72e907e93860c96773d8d0bb6eb974e63c5d2930da3cca21b32b295d603994c46a3351cf68a4c108b55f79c572",
"outputBlockId": "22cca8b71910cbd7495282aad3f827d357ef7644d19c3006cceac64fff0b40ad",
"outputTransactionId": "3b99d460f123f97571a1a9c8de7c188d800b8449f964a6d3a69f8c6569575f33",
"outputIndex": 2,
"outputGlobalIndex": 52029293,
"outputCreatedAt": 1670324,
"outputSettledAt": 1670326,
"ergoTree": "0008cd02e45f52ffb0ac1e95c5f61b2ad6a2232bb35322f504fff3bb53a28a66b2886302",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))}",
"address": "9gFdypWtoxBBgBaFSg46ZUKXxPYaJz5bfg4WLF6jA1VazoUoonq",
"assets": [
{
"tokenId": "bebc8cf2971fd5ca2b92b9f925a32c0fe8f2ecdb7e5bb0d780362eac516bab03",
"index": 0,
"amount": 11,
"name": " ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cee139d54e722a40834075e89ba9c69e22eb1bb57d4ec304b9aa7cf6fe90560d",
"index": 1,
"amount": 4,
"name": " ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ae5fec0d07b8f3a10b37e678247f1a8614adfde9b1b76a9ca330d7b4516a9de",
"index": 2,
"amount": 8981,
"name": "BvB P",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d15c8a02b5f64bf3bde7bb728526386253c18a5ef9de1388f7e92fa145edf22d",
"transactionId": "f85927ed43bebf6f333b4e1f460dddcf8472b0556cc8fbbeb8b77eee9bc495b9",
"blockId": "a15fd5a743c299faf6a128f43fd517332926b87c86199c0b6d7e88c6859bb3eb",
"value": 10000000,
"index": 0,
"globalIndex": 52029481,
"creationHeight": 1670330,
"settlementHeight": 1670332,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 1\n4: 0\n5: 1\n6: 3\n7: 0\n8: 69\n9: 82\n10: 71\n11: 1\n12: 2\n13: 0\n14: 0\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 2\n22: 1\n23: 1\n24: 1\n25: 1\n26: 3\n27: 2\n28: 3\n29: 0\n30: 1\n31: 2\n32: 10000000\n33: 10000000\n34: 10000000\n35: 1\n36: 3\n37: 3\n38: 2\n39: 2\n40: 10000000\n41: 10000000\n42: 10000000\n43: 1\n44: false\n45: 1\n46: 0\n47: 1\n48: 2\n49: 0\n50: 1\n51: 0\n52: 10000000\n53: 0\n54: 3\n55: 2\n56: 0\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: 1\n63: 0\n64: 1\n65: 0\n66: 2\n67: 0\n68: 2\n69: 100\n70: 0\n71: 1\n72: 0\n73: 0\n74: 0\n75: 0\n76: 1\n77: true\n78: 2\n79: 1\n80: 1\n81: 0\n82: 0\n83: 0\n84: 1\n85: 1\n86: 2\n87: 3\n88: 10000000\n89: 2\n90: 10000000\n91: 2\n92: 10000000\n93: 2\n94: 10000000\n95: 2\n96: 0\n97: 1\n98: 0\n99: SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))\n100: 1\n101: 0\n102: 0\n103: 1\n104: 1\n105: 0\n106: true\n107: 0\n108: 0\n109: 0\n110: 0\n111: 0\n112: 0\n113: true\n114: false",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Int]].get\n val i2 = coll1(placeholder[Int](0))\n val i3 = coll1(placeholder[Int](1)) + i2\n val coll4 = SELF.propositionBytes\n val bool5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll4 }).size == placeholder[Int](2)\n val bool6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll4 }).size == placeholder[Int](3)\n val l7 = SELF.R4[Long].get\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](4))._1\n val tuple10 = coll8(placeholder[Int](5))\n val coll11 = tuple10._1\n val i12 = coll1(placeholder[Int](6))\n val coll13 = SELF.R8[Coll[Int]].get\n val coll14 = SELF.R9[Coll[Long]].get\n val l15 = coll14(placeholder[Int](7))\n val coll16 = SELF.R6[Coll[Byte]].get\n val bool17 = coll16 == Coll[Byte](placeholder[Byte](8), placeholder[Byte](9), placeholder[Byte](10))\n val coll18 = SELF.R5[Coll[Byte]].get\n val l19 = coll14(placeholder[Int](11))\n val i20 = coll1(placeholder[Int](12))\n if (HEIGHT < i3) {(\n val box21 = OUTPUTS(placeholder[Int](13))\n val coll22 = box21.tokens\n val i23 = coll22.size\n val tuple24 = coll22(placeholder[Int](14))\n val tuple25 = coll22(placeholder[Int](15))\n val l26 = tuple25._2\n val i27 = i12 + placeholder[Int](16) - l26.toInt\n val coll28 = box21.R8[Coll[Int]].get\n val box29 = OUTPUTS(placeholder[Int](17))\n val b30 = box29.R4[Byte].get\n val i31 = b30.toInt\n val tuple32 = box29.tokens(placeholder[Int](18))\n val opt33 = box29.R6[Coll[Byte]]\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool6 && bool5) && (l7 > placeholder[Long](19))) && (OUTPUTS.size >= placeholder[Int](20))) && (i23 >= placeholder[Int](21))\n ) && ((tuple24._1 == coll9) && (tuple24._2 == placeholder[Long](22)))\n ) && ((tuple25._1 == coll11) && (l26 == tuple10._2 - placeholder[Long](23)))\n ) && (i27 <= i12)\n ) && (((coll28(i31) == coll13(i31) + placeholder[Int](24)) && \n val i34 = i31 + placeholder[Int](25) % placeholder[Int](26)\n coll28(i34) == coll13(i34)\n ) && \n val i34 = i31 + placeholder[Int](27) % placeholder[Int](28)\n coll28(i34) == coll13(i34)\n )\n ) && (coll28(placeholder[Int](29)) + coll28(placeholder[Int](30)) + coll28(placeholder[Int](31)) == i27)\n ) && if (bool17) {(\n val l34 = box21.value\n val l35 = SELF.value\n val l36 = l34 - placeholder[Long](32) - l35 - placeholder[Long](33)\n ((((l36 >= l15) && (l34 == l35 + l36)) && (box29.value == placeholder[Long](34))) && (box29.tokens.size == placeholder[Int](35))) && (\n box29.R7[Long].get == l36\n )\n )} else {(\n val bool34 = (coll8.size >= placeholder[Int](36)) && (i23 >= placeholder[Int](37))\n bool34 && if (bool34) {(\n val tuple35 = coll8(placeholder[Int](38))\n val tuple36 = coll22(placeholder[Int](39))\n val l37 = tuple36._2\n val l38 = tuple35._2\n val l39 = l37 - l38\n (\n (\n (\n ((((tuple35._1 == coll16) && (tuple36._1 == coll16)) && (l39 >= l15)) && (l37 == l38 + l39)) && (\n (box21.value == placeholder[Long](40)) && (SELF.value == placeholder[Long](41))\n )\n ) && (box29.value == placeholder[Long](42))\n ) && (box29.tokens.size == placeholder[Int](43))\n ) && (box29.R7[Long].get == l39)\n )} else { placeholder[Boolean](44) }\n )}\n ) && (\n (\n (((box21.R4[Long].get == l7) && (box21.R5[Coll[Byte]].get == coll18)) && (box21.R6[Coll[Byte]].get == coll16)) && (\n box21.R7[Coll[Int]].get == coll1\n )\n ) && (box21.R9[Coll[Long]].get == coll14)\n )\n ) && (box21.propositionBytes == coll4)\n ) && ((tuple32._1 == coll11) && (tuple32._2 == placeholder[Long](45)))\n ) && (((b30 == placeholder[Byte](46)) || (b30 == placeholder[Byte](47))) || (b30 == placeholder[Byte](48)))\n ) && box29.R5[Coll[Byte]].isDefined\n ) && (opt33.isDefined && (opt33.get == coll9))\n )\n )} else { if (HEIGHT >= i3 + i20) {(\n val box21 = CONTEXT.dataInputs(placeholder[Int](49))\n val coll22 = box21.tokens\n val l23 = box21.R4[Long].get\n val coll24 = INPUTS.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size >= placeholder[Int](50)) && (coll26(placeholder[Int](51))._1 == coll11)\n })\n val i25 = coll24.size\n val tuple26 = if (bool17) {(\n val l26 = SELF.value - placeholder[Long](52)\n (l26, l26 == coll24.fold(placeholder[Long](53), {(tuple27: (Long, Box)) => tuple27._1 + tuple27._2.R7[Long].get }) + l19)\n )} else { if (coll8.size >= placeholder[Int](54)) {(\n val l26 = coll8(placeholder[Int](55))._2\n (l26, l26 == coll24.fold(placeholder[Long](56), {(tuple27: (Long, Box)) => tuple27._1 + tuple27._2.R7[Long].get }) + l19)\n )} else { (placeholder[Long](57), (i25 == placeholder[Int](58)) && (l19 == placeholder[Long](59))) } }\n val box27 = OUTPUTS(placeholder[Int](60))\n val coll28 = box27.tokens\n val i29 = coll28.size\n val tuple30 = coll28(placeholder[Int](61))\n val tuple31 = coll28(placeholder[Int](62))\n val coll32 = box27.R7[Coll[Int]].get\n val i33 = coll32(placeholder[Int](63))\n val coll34 = coll24.filter({(box34: Box) => box34.R4[Byte].get == if (l23 > l7) { placeholder[Byte](64) } else { if (l23 < l7) { placeholder[Byte](65) } else { placeholder[Byte](66) } } })\n val bool35 = coll34.size > placeholder[Int](67)\n val coll36 = box27.R9[Coll[Long]].get\n val l37 = tuple26._1\n val l38 = l37 * placeholder[Int](68).toLong / placeholder[Long](69)\n val l39 = l37 - l38\n val bool40 = l37 > placeholder[Long](70)\n sigmaProp(((((((((((((((((bool6 && bool5) && ((coll22.size >= placeholder[Int](71)) && (coll22(placeholder[Int](72))._1 == coll18))) && (l23 > placeholder[Long](73))) && tuple26._2) && if (i25 > placeholder[Int](74)) { coll24.forall({(box41: Box) =>\n val tuple43 = box41.tokens(placeholder[Int](75))\n (((((tuple43._1 == coll11) && (tuple43._2 == placeholder[Long](76))) && box41.R4[Byte].isDefined) && box41.R5[Coll[Byte]].isDefined) && box41.R6[Coll[Byte]].isDefined) && box41.R7[Long].isDefined\n }) } else { placeholder[Boolean](77) }) && (i29 >= placeholder[Int](78))) && ((tuple30._1 == coll9) && (tuple30._2 == placeholder[Long](79)))) && ((tuple31._1 == coll11) && (tuple31._2 == i12 + placeholder[Int](80).toLong))) && (box27.R8[Coll[Int]].get == Coll[Int](placeholder[Int](81), placeholder[Int](82), placeholder[Int](83)))) && ((((((box27.R4[Long].get == l23) && ((i33 >= HEIGHT) && (i33 <= HEIGHT + placeholder[Int](84)))) && (coll32(placeholder[Int](85)) == i2)) && (coll32(placeholder[Int](86)) == i20)) && (coll32(placeholder[Int](87)) == i12)) && (box27.R6[Coll[Byte]].get == coll16))) && (box27.R5[Coll[Byte]].get == coll18)) && (box27.propositionBytes == coll4)) && if (bool35) { if (bool17) { (box27.value == placeholder[Long](88)) && (i29 == placeholder[Int](89)) } else { (box27.value == placeholder[Long](90)) && (i29 == placeholder[Int](91)) } } else { if (bool17) { (box27.value == placeholder[Long](92)) && (i29 == placeholder[Int](93)) } else { (box27.value == placeholder[Long](94)) && (i29 == placeholder[Int](95)) } }) && (coll36(placeholder[Int](96)) == l15)) && (coll36(placeholder[Int](97)) == if (bool35) { placeholder[Long](98) } else { l39 })) && if (bool40) {(\n val coll41 = OUTPUTS.filter({(box41: Box) => box41.propositionBytes == placeholder[SigmaProp](99).propBytes })\n if (bool17) { (coll41.size >= placeholder[Int](100)) && (coll41(placeholder[Int](101)).value >= l38) } else {(\n val coll42 = coll41(placeholder[Int](102)).tokens.filter({(tuple42: (Coll[Byte], Long)) => tuple42._1 == coll16 })\n ((coll41.size >= placeholder[Int](103)) && (coll42.size >= placeholder[Int](104))) && (coll42(placeholder[Int](105))._2 >= l38)\n )}\n )} else { placeholder[Boolean](106) }) && if (bool35 && bool40) { coll34.forall({(box41: Box) =>\n val coll43 = box41.R5[Coll[Byte]].get\n val coll44 = OUTPUTS.filter({(box44: Box) => box44.propositionBytes == coll43 })\n val l45 = coll34.fold(placeholder[Long](107), {(tuple45: (Long, Box)) =>\n val box47 = tuple45._2\n val l48 = tuple45._1\n if (box47.R5[Coll[Byte]].get == coll43) { l48 + box47.R7[Long].get } else { l48 }\n }) * l39 / coll34.fold(placeholder[Long](108), {(tuple45: (Long, Box)) => tuple45._1 + tuple45._2.R7[Long].get })\n if (bool17) { coll44.fold(placeholder[Long](109), {(tuple46: (Long, Box)) => tuple46._1 + tuple46._2.value }) >= l45 } else { coll44.fold(placeholder[Long](110), {(tuple46: (Long, Box)) =>\n val coll48 = tuple46._2.tokens.filter({(tuple48: (Coll[Byte], Long)) => tuple48._1 == coll16 })\n val l49 = tuple46._1\n if (coll48.size > placeholder[Int](111)) { l49 + coll48(placeholder[Int](112))._2 } else { l49 }\n }) >= l45 }\n }) } else { placeholder[Boolean](113) })\n )} else { sigmaProp(placeholder[Boolean](114)) } }\n}",
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{
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"index": 0,
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"name": " ",
"decimals": 0,
"type": "EIP-004"
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{
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"name": " ",
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}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "6a2b821b5727e85beb5e78b4efb9f0250d59cd48481d2ded2c23e91ba1d07c66"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "455247"
},
"R8": {
"serializedValue": "1003000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "1004f4f2cb01140a14",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1670330,10,5,10]"
},
"R9": {
"serializedValue": "11028084af5f00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,0]"
},
"R4": {
"serializedValue": "05c4cf9cd20e",
"sigmaType": "SLong",
"renderedValue": "1965265890"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "f85927ed43bebf6f333b4e1f460dddcf8472b0556cc8fbbeb8b77eee9bc495b9",
"blockId": "a15fd5a743c299faf6a128f43fd517332926b87c86199c0b6d7e88c6859bb3eb",
"value": 1100000,
"index": 1,
"globalIndex": 52029482,
"creationHeight": 1670330,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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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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"mainChain": true
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{
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"ergoTree": "0008cd02e45f52ffb0ac1e95c5f61b2ad6a2232bb35322f504fff3bb53a28a66b2886302",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))}",
"address": "9gFdypWtoxBBgBaFSg46ZUKXxPYaJz5bfg4WLF6jA1VazoUoonq",
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"additionalRegisters": {},
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"mainChain": true
}
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"size": 2562,
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}