Transaction
ID: 88f9c7ed4c...e802
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.92 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.92 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 179,917
Total coins transferred: 1.92 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000367 ERG
Raw Transaction Data
{
"id": "88f9c7ed4cfc3f84c5be62bd4a3dcd47b0558eee9e491a91381653bdd9c4e802",
"blockId": "d2a74ded37867faaafdbdc38c2d3062801fdc92199818bc179e3efa50e2c8cdb",
"inclusionHeight": 1593351,
"timestamp": 1755531948778,
"index": 7,
"globalIndex": 9367756,
"numConfirmations": 179917,
"inputs": [
{
"boxId": "d71a85178949d5d7c83677016d806d89bf6675f2f1cb79bbc51e928e1209cb36",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f657864d00ac31aea64414fef8c97ec5fd4ee6717b97b97c0edd60973cffec27",
"outputTransactionId": "09032f827c742867fb14316fe5e5b92ca681b96f796cfc1602a6a972521d2bf6",
"outputIndex": 0,
"outputGlobalIndex": 49524217,
"outputCreatedAt": 1593346,
"outputSettledAt": 1593349,
"ergoTree": "1966040400040004000e200cdcb3418ef479b2bb2726e42b1c1c84c19b51c7934b48a1bc0df91988bc9110d803d601b2db6308a7730000d602b2a5730100d603b2db63087202730200d196830201ed938c7201018c720301938c7201028c72030293cbc272027303",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(12,-36,-77,65,-114,-12,121,-78,-69,39,38,-28,43,28,28,-124,-63,-101,81,-57,-109,75,72,-95,-68,13,-7,25,-120,-68,-111,16)",
"ergoTreeScript": "{\n val tuple1 = SELF.tokens(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val tuple3 = box2.tokens(placeholder[Int](2))\n sigmaProp(allOf(Coll[Boolean]((tuple1._1 == tuple3._1) && (tuple1._2 == tuple3._2), blake2b256(box2.propositionBytes) == placeholder[Coll[Byte]](3))))\n}",
"address": "PmKooeDy1PYrXQZ8c7M3qHa6KzUhmbL1eQe1LTEAp4SD5EPhLSJMMEPpKrTVCAhVziKU5YDBQFW4umuWZnPh7jr91PcCiCF7KNVfuBV3H7AaS9NB1kRZH5HdRHrFkhjcvYaJDhow1k1msSafqERC",
"assets": [
{
"tokenId": "b5a8d343774d3e37ba6a284a80f8145ca644b80d0f7845970663b7c5672a91a5",
"index": 0,
"amount": 8500000000001,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R8": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0ef6017b227469746c65223a225465737420626f756e7479222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d2c226465736372697074696f6e223a2254656d706f72616c2d66756e64696e6720546f6b656e20666f7220746865205465737420626f756e74792070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e20426f756e746966756c206f6e63652074686520646561646c696e6520686173207061737365642e227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737420626f756e7479222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d2c226465736372697074696f6e223a2254656d706f72616c2d66756e64696e6720546f6b656e20666f7220746865205465737420626f756e74792070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e20426f756e746966756c206f6e63652074686520646561646c696e6520686173207061737365642e227d"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "84871bc0c2f5754cd1962a1ad26a0f93aeeed06f005feb3ec2b686ee007d4de5",
"value": 1919422400,
"index": 1,
"spendingProof": "ef7cb44c8510a04587ce24d5fdaed617dcc6c6c3ea38c9b48ab9e2c3a5149a4ad4fb415f44f9775c143cc44e98cfda581450a03754529e24",
"outputBlockId": "cb5a25b3c5fbe50376139cef9114ec428087a3c9eecff75bc915a1b23e30f1ad",
"outputTransactionId": "7192f499e30291fc1d029c8f883432d4a2e706950d1f9bb5f12d3ed319542ccb",
"outputIndex": 2,
"outputGlobalIndex": 49476656,
"outputCreatedAt": 1591172,
"outputSettledAt": 1591173,
"ergoTree": "0008cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))}",
"address": "9hPMZDMrGa7gZnZ3HtNwaLbymb6ddcGn2WtN7nhYHVg473yomgp",
"assets": [
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 0,
"amount": 50000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 1,
"amount": 25000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 2,
"amount": 1200,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 3,
"amount": 1200,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 4,
"amount": 340000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "287cf2dff7f17c31ed6675d44798d1af9f89142aeb3466ed38f9d64969437536",
"transactionId": "88f9c7ed4cfc3f84c5be62bd4a3dcd47b0558eee9e491a91381653bdd9c4e802",
"blockId": "d2a74ded37867faaafdbdc38c2d3062801fdc92199818bc179e3efa50e2c8cdb",
"value": 1000000,
"index": 0,
"globalIndex": 49524346,
"creationHeight": 1593349,
"settlementHeight": 1593351,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: 1\n27: 127\n28: 3\n29: 2\n30: SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 100\n37: true\n38: 1\n39: Coll(0,-79,-30,54,-74,11,-107,-62,-58,-8,0,122,-99,-119,-68,70,15,-55,-25,-113,-104,-80,-97,-82,-55,68,-112,7,-76,11,-52,-13)\n40: 2\n41: 0\n42: 0\n43: 3\n44: false\n45: 2\n46: 1\n47: 100\n48: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n49: 1100000\n50: 0\n51: 1\n52: false\n53: 1\n54: 0\n55: 0\n56: 1\n57: 0\n58: 1100000\n59: 0\n60: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n61: true\n62: 1\n63: 1\n64: 0\n65: true\n66: true\n67: 1\n68: true",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val coll5 = tuple4._1\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](3))\n val i9 = SELF.R4[Int].get\n val l10 = SELF.R5[Long].get\n val l11 = SELF.R7[Long].get\n val bool12 = SELF.propositionBytes == box6.propositionBytes\n val i13 = coll7.size\n val bool14 = i13 == placeholder[Int](4)\n val tuple15 = coll7(placeholder[Int](5))\n val bool16 = (\n (\n (\n (\n ((((coll5 == tuple8._1) && (i9 == box6.R4[Int].get)) && (l10 == box6.R5[Long].get)) && (l11 == box6.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box6.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box6.R9[Coll[Byte]].get)\n ) && bool12\n ) && anyOf(Coll[Boolean](bool14, tuple15._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool14 || (i13 == placeholder[Int](7)))\n val coll17 = SELF.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](8))\n val coll19 = box6.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](9))\n val bool21 = l18 == l20\n val l22 = coll17(placeholder[Int](10))\n val l23 = coll19(placeholder[Int](11))\n val bool24 = l22 == l23\n val l25 = tuple15._2\n val bool26 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool14) { placeholder[Long](14) } else { l25 }\n val l27 = tuple4._2\n val l28 = tuple8._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.tokens\n val coll33 = box30.R6[Coll[Long]].get\n if (coll32.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll32(placeholder[Int](17))._2 } - coll33(placeholder[Int](18)) + coll33(\n placeholder[Int](19)\n ) + coll33(placeholder[Int](20))\n }(SELF)\n val l31 = box6.value\n val l32 = SELF.value\n val l33 = coll19(placeholder[Int](21))\n val l34 = coll17(placeholder[Int](22))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l28 - l27\n val l38 = l20 - l18\n val l39 = l32 - l31\n val bool40 = l27 == l28\n val box41 = OUTPUTS(placeholder[Int](23))\n val bool42 = l34 >= l10\n val func43 = {(tuple43: (SigmaProp, Box)) =>\n val coll45 = tuple43._2.propositionBytes\n val coll46 = tuple43._1.propBytes\n if (coll45(placeholder[Int](24)).toInt == placeholder[Int](25)) { coll45 == coll46 } else {(\n val i47 = coll45.size\n coll46.slice(placeholder[Int](26), coll46.size) == coll45.slice(\n if (i47 > placeholder[Int](27)) { placeholder[Int](28) } else { placeholder[Int](29) }, i47\n )\n )}\n }\n val prop44 = placeholder[SigmaProp](30)\n val bool45 = func43((prop44, box41))\n val bool46 = l32 == l31\n val bool47 = allOf(Coll[Boolean](bool16, bool36, bool21, bool24, bool46, bool40))\n val l48 = if (bool14) { placeholder[Long](31) } else { l25 } - if (bool3) { placeholder[Long](32) } else { coll1(placeholder[Int](33))._2 }\n val l49 = !l48\n val coll50 = CONTEXT.dataInputs\n val prop51 = sigmaProp(proveDlog(coll50.filter({(box51: Box) =>\n val opt53 = box51.R5[Coll[Byte]]\n (opt53.isDefined && (opt53.get == coll5)) && box51.R4[GroupElement].isDefined\n })(placeholder[Int](34)).R4[GroupElement].get))\n val coll52 = OUTPUTS.filter({(box52: Box) => func43((prop51, box52)) })\n val l53 = if (bool12) { l39 } else { l32 }\n val l54 = l53 * placeholder[Int](35).toLong / placeholder[Long](36)\n sigmaProp(\n if (bool3) { placeholder[Boolean](37) } else { coll1(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39) } && (bool3 || (i2 == placeholder[Int](40)))\n ) && sigmaProp(\n anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool21, bool24, bool26)), l29 <= l30, l31 - l32 == l29 * l11, allOf(\n Coll[Boolean](l29 == l35, l35 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool36, bool24, bool26)), (HEIGHT > i9) && (l34 < l10), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](42))\n ), l39 == l37 * l11\n )\n ), if (OUTPUTS.size < placeholder[Int](43)) { placeholder[Boolean](44) } else {(\n val l55 = if (bool12) { l39 } else { l32 }\n val box56 = OUTPUTS(placeholder[Int](45))\n val l57 = l55 * placeholder[Int](46).toLong / placeholder[Long](47)\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || ((l55 == l32) && bool3), bool36, bool21, bool24, bool40, bool26)), bool42, bool45, allOf(\n Coll[Boolean](box56.value == l57, placeholder[Coll[Byte]](48) == blake2b256(box56.propositionBytes))\n ), box41.value == l55 - l57 - placeholder[Int](49).toLong\n )\n )\n )}, allOf(Coll[Boolean](bool47, bool45, l48 < placeholder[Long](50), l49 <= l30)), if (INPUTS.size == placeholder[Int](51)) {\n placeholder[Boolean](52)\n } else { allOf(Coll[Boolean](bool47, func43((prop44, INPUTS(placeholder[Int](53)))), l48 > placeholder[Long](54))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || (bool46 && bool3), bool36, bool21, bool46)), bool42, l37 == l23 - l22, allOf(\n Coll[Boolean](l37 == l49, l37 > placeholder[Long](55))\n )\n )\n )\n )\n )\n ) || prop44 && sigmaProp(allOf(Coll[Boolean](bool42, coll50.exists({(box55: Box) =>\n val opt57 = box55.R5[Coll[Byte]]\n (opt57.isDefined && (opt57.get == coll5)) && box55.R4[GroupElement].isDefined\n }), (coll52.size >= placeholder[Int](56)) && (coll52.map({(box55: Box) => box55.value }).fold(placeholder[Long](57), {(tuple55: (Long, Long)) => tuple55._1 + tuple55._2 }) >= l53 - l54 - placeholder[Long](58)), if (l54 > placeholder[Long](59)) { OUTPUTS.exists({(box55: Box) => (placeholder[Coll[Byte]](60) == blake2b256(box55.propositionBytes)) && (box55.value >= l54) }) } else { placeholder[Boolean](61) }, if (i2 > placeholder[Int](62)) {(\n val tuple55 = coll1(placeholder[Int](63))\n val l56 = tuple55._2 - l34\n if (l56 > placeholder[Long](64)) { OUTPUTS.exists({(box57: Box) => func43((prop51, box57)) && box57.tokens.exists({(tuple59: (Coll[Byte], Long)) => (tuple59._1 == tuple55._1) && (tuple59._2 >= l56) }) }) } else { placeholder[Boolean](65) }\n )} else { placeholder[Boolean](66) }, if ((l53 == l32) && (bool3 || (coll1(placeholder[Int](67))._2 <= l34))) { placeholder[Boolean](68) } else { (((bool16 && bool40) && bool36) && bool21) && bool24 })))\n}",
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{
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}
],
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"sigmaType": "SLong",
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},
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"sigmaType": "Coll[SLong]",
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},
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"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a2254657374206465736372697074696f6e222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d"
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"sigmaType": "SInt",
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},
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"mainChain": true
},
{
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}