Transaction
ID: d974de8635...246e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
3.69 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.68 ERG
Transaction Details
Confirmations: 196,109
Total coins transferred: 3.79 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000552 ERG
Raw Transaction Data
{
"id": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"inclusionHeight": 1568194,
"timestamp": 1752483450105,
"index": 7,
"globalIndex": 9208432,
"numConfirmations": 196109,
"inputs": [
{
"boxId": "bab4adf6be5953b47ad72fb99940314189a9e7ec4affa9298f65e9336649b931",
"value": 100000000,
"index": 0,
"spendingProof": "919c7cf4a6b9f6373ddaecf2e00fc502af4d6f6226b997407f5704ab2d6c55fb91b99e9b539a9db8f03b08bbb2d3ec7875c789475cad36cb",
"outputBlockId": "b26f5c7af3fe03580fe6b210e893cd3e27c574a8c0458740113437cfcc06e3d8",
"outputTransactionId": "84084cf8a6dfcfb5dba6bb4c2bf2a0865337172ea33c2cc9b1b3afe24ccd14d1",
"outputIndex": 0,
"outputGlobalIndex": 48875821,
"outputCreatedAt": 1568190,
"outputSettledAt": 1568191,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 1\n10: true\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: 1\n29: 3\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 4\n36: 1\n37: 0\n38: 1\n39: 0\n40: 0\n41: 0\n42: true\n43: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val l2 = SELF.value\n val coll3 = SELF.tokens\n val coll4 = coll3(placeholder[Int](0))._1\n val ge5 = SELF.R4[GroupElement].get\n val tuple6 = SELF.R6[(Long, Long)].get\n val tuple7 = SELF.R8[(Coll[Byte], Boolean)].get\n val tuple8 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n val prop9 = proveDlog(ge5)\n val func10 = {(tuple10: (SigmaProp, Box)) =>\n val coll12 = tuple10._2.propositionBytes\n val coll13 = tuple10._1.propBytes\n if (coll12(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll12 == coll13 } else {(\n val i14 = coll12.size\n coll13.slice(placeholder[Int](3), coll13.size) == coll12.slice(if (i14 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i14)\n )}\n }\n val coll11 = SELF.R7[Coll[GroupElement]].get\n val i12 = coll11.size\n val func13 = {(box13: Box) => allOf(Coll[Boolean](box13.value >= tuple8._2, blake2b256(box13.propositionBytes) == tuple8._1(placeholder[Int](7)))) }\n val tuple14 = SELF.R5[(Coll[Byte], Long)].get\n val l15 = tuple14._2\n val func16 = {(box16: Box) => box16.tokens.exists({(tuple18: (Coll[Byte], Long)) => tuple18._1 == tuple14._1 }) }\n val i17 = coll3.size\n val func18 = {(tuple18: (Box, Box)) =>\n val box20 = tuple18._2\n allOf(\n Coll[Boolean](\n box20.value == l2, box20.propositionBytes == tuple18._1.propositionBytes, if (i17 > placeholder[Int](8)) {\n box20.tokens == coll3.slice(placeholder[Int](9), i17)\n } else { placeholder[Boolean](10) }\n )\n )\n }\n val func19 = {(coll19: Coll[Byte]) =>\n OUTPUTS.forall(\n {(box21: Box) =>\n allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != SELF.propositionBytes))\n }\n )\n }\n val bool20 = l15 > placeholder[Long](11)\n val coll21 = tuple7._1\n val l22 = tuple6._2\n if (i1 == placeholder[Int](12)) {(\n val box23 = OUTPUTS(placeholder[Int](13))\n val box24 = OUTPUTS(placeholder[Int](14))\n val coll25 = SELF.id\n val tuple26 = box24.tokens(placeholder[Int](15))\n val l27 = tuple26._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box23.value == l2, box23.tokens(placeholder[Int](16)) == (coll4, placeholder[Long](17)), box23.R4[GroupElement].get == ge5, box23.R6[\n (Long, Long)\n ].get == tuple6, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8\n )\n ), allOf(\n Coll[Boolean](\n func10((prop9, box24)), OUTPUTS.filter(\n {(box28: Box) => box28.tokens.exists({(tuple30: (Coll[Byte], Long)) => tuple30._1 == coll25 }) }\n ).size == placeholder[Int](18), allOf(Coll[Boolean](tuple26._1 == coll25, l27 > placeholder[Long](19))), box23.R5[(Coll[Byte], Long)].get == (\n coll25, l27\n )\n )\n ), box23.R7[Coll[GroupElement]].get.size > i12, func13(OUTPUTS(placeholder[Int](20))), l15 <= placeholder[Long](21)\n )\n )\n ) && prop9\n )} else { if (i1 == placeholder[Int](22)) {(\n val box23 = OUTPUTS(placeholder[Int](23))\n val coll24 = box23.tokens\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](24)) == (coll4, placeholder[Long](25)), box23.R4[GroupElement].get == ge5, box23.R5[(Coll[Byte], Long)].get == tuple14, box23.R6[(Long, Long)].get == tuple6, box23.R7[Coll[GroupElement]].get == coll11, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8)), (box23.value >= l2) && coll24.forall({(tuple25: (Coll[Byte], Long)) =>\n val coll27 = tuple25._1\n coll24.fold(placeholder[Long](26), {(tuple28: (Long, (Coll[Byte], Long))) =>\n val tuple30 = tuple28._2\n val l31 = tuple28._1\n if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n }) >= coll3.fold(placeholder[Long](27), {(tuple28: (Long, (Coll[Byte], Long))) =>\n val tuple30 = tuple28._2\n val l31 = tuple28._1\n if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n })\n }), func13(OUTPUTS(placeholder[Int](28)))))) && prop9\n )} else { if (i1 == placeholder[Int](29)) {(\n val box23 = INPUTS(placeholder[Int](30))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll11.filter({(ge24: GroupElement) => func10((proveDlog(ge24), box23)) }).size == placeholder[Int](31), func16(box23))), func18((box23, OUTPUTS(placeholder[Int](32)))), func19(coll4), func13(OUTPUTS(placeholder[Int](33))), bool20, i12 > placeholder[Int](34))))\n )} else { if (i1 == placeholder[Int](35)) {(\n val box23 = INPUTS(placeholder[Int](36))\n sigmaProp(allOf(Coll[Boolean](func16(box23), func18((box23, OUTPUTS(placeholder[Int](37)))), func19(coll4), func13(OUTPUTS(placeholder[Int](38))), bool20, HEIGHT.toLong > tuple6._1, if (coll21.size > placeholder[Int](39)) {(\n val box24 = CONTEXT.dataInputs(placeholder[Int](40))\n val l25 = box24.R4[Long].get\n allOf(Coll[Boolean](box24.tokens(placeholder[Int](41))._1 == coll21, if (tuple7._2) { l25 >= l22 } else { l25 <= l22 }))\n )} else { placeholder[Boolean](42) })))\n )} else { sigmaProp(placeholder[Boolean](43)) } } } }\n}",
"address": "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",
"assets": [
{
"tokenId": "86b27ee586bc45d1ca9009975c6e97576e15ed511687c300c3a39502b8fce89f",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e0000",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,0]"
},
"R6": {
"serializedValue": "5988b7bf0100",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1568196,0]"
},
"R8": {
"serializedValue": "490e0001",
"sigmaType": "(Coll[SByte], SBoolean)",
"renderedValue": "[,true]"
},
"R7": {
"serializedValue": "1300",
"sigmaType": "Coll[SGroupElement]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "4d1a02114b75736874692773205369676d614c6f6b208ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc03180dac409",
"sigmaType": "(Coll[Coll[SByte]], SLong)",
"renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
},
"R4": {
"serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"sigmaType": "SGroupElement",
"renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
}
}
},
{
"boxId": "e10c2c81cc25b92bddef96deee6966b9c45d244022b0de21bc93a326ddee7c76",
"value": 3689000000,
"index": 1,
"spendingProof": "2ab14f3580cb8b8c198ca17856dd6c7790bf4263a2c2b118444aafab5156a572dd9b6a3fd856a9f722aea7638258d1f86bd816d4f08fa01c",
"outputBlockId": "b26f5c7af3fe03580fe6b210e893cd3e27c574a8c0458740113437cfcc06e3d8",
"outputTransactionId": "84084cf8a6dfcfb5dba6bb4c2bf2a0865337172ea33c2cc9b1b3afe24ccd14d1",
"outputIndex": 2,
"outputGlobalIndex": 48875823,
"outputCreatedAt": 1568190,
"outputSettledAt": 1568191,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "503c84cb2a9dca52a475db57a1dd55cf7d302792c61e8748f04c985447a9d9c0",
"transactionId": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"value": 100000000,
"index": 0,
"globalIndex": 48875947,
"creationHeight": 1568193,
"settlementHeight": 1568194,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 1\n10: true\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: 1\n29: 3\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 4\n36: 1\n37: 0\n38: 1\n39: 0\n40: 0\n41: 0\n42: true\n43: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val l2 = SELF.value\n val coll3 = SELF.tokens\n val coll4 = coll3(placeholder[Int](0))._1\n val ge5 = SELF.R4[GroupElement].get\n val tuple6 = SELF.R6[(Long, Long)].get\n val tuple7 = SELF.R8[(Coll[Byte], Boolean)].get\n val tuple8 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n val prop9 = proveDlog(ge5)\n val func10 = {(tuple10: (SigmaProp, Box)) =>\n val coll12 = tuple10._2.propositionBytes\n val coll13 = tuple10._1.propBytes\n if (coll12(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll12 == coll13 } else {(\n val i14 = coll12.size\n coll13.slice(placeholder[Int](3), coll13.size) == coll12.slice(if (i14 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i14)\n )}\n }\n val coll11 = SELF.R7[Coll[GroupElement]].get\n val i12 = coll11.size\n val func13 = {(box13: Box) => allOf(Coll[Boolean](box13.value >= tuple8._2, blake2b256(box13.propositionBytes) == tuple8._1(placeholder[Int](7)))) }\n val tuple14 = SELF.R5[(Coll[Byte], Long)].get\n val l15 = tuple14._2\n val func16 = {(box16: Box) => box16.tokens.exists({(tuple18: (Coll[Byte], Long)) => tuple18._1 == tuple14._1 }) }\n val i17 = coll3.size\n val func18 = {(tuple18: (Box, Box)) =>\n val box20 = tuple18._2\n allOf(\n Coll[Boolean](\n box20.value == l2, box20.propositionBytes == tuple18._1.propositionBytes, if (i17 > placeholder[Int](8)) {\n box20.tokens == coll3.slice(placeholder[Int](9), i17)\n } else { placeholder[Boolean](10) }\n )\n )\n }\n val func19 = {(coll19: Coll[Byte]) =>\n OUTPUTS.forall(\n {(box21: Box) =>\n allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != SELF.propositionBytes))\n }\n )\n }\n val bool20 = l15 > placeholder[Long](11)\n val coll21 = tuple7._1\n val l22 = tuple6._2\n if (i1 == placeholder[Int](12)) {(\n val box23 = OUTPUTS(placeholder[Int](13))\n val box24 = OUTPUTS(placeholder[Int](14))\n val coll25 = SELF.id\n val tuple26 = box24.tokens(placeholder[Int](15))\n val l27 = tuple26._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box23.value == l2, box23.tokens(placeholder[Int](16)) == (coll4, placeholder[Long](17)), box23.R4[GroupElement].get == ge5, box23.R6[\n (Long, Long)\n ].get == tuple6, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8\n )\n ), allOf(\n Coll[Boolean](\n func10((prop9, box24)), OUTPUTS.filter(\n {(box28: Box) => box28.tokens.exists({(tuple30: (Coll[Byte], Long)) => tuple30._1 == coll25 }) }\n ).size == placeholder[Int](18), allOf(Coll[Boolean](tuple26._1 == coll25, l27 > placeholder[Long](19))), box23.R5[(Coll[Byte], Long)].get == (\n coll25, l27\n )\n )\n ), box23.R7[Coll[GroupElement]].get.size > i12, func13(OUTPUTS(placeholder[Int](20))), l15 <= placeholder[Long](21)\n )\n )\n ) && prop9\n )} else { if (i1 == placeholder[Int](22)) {(\n val box23 = OUTPUTS(placeholder[Int](23))\n val coll24 = box23.tokens\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](24)) == (coll4, placeholder[Long](25)), box23.R4[GroupElement].get == ge5, box23.R5[(Coll[Byte], Long)].get == tuple14, box23.R6[(Long, Long)].get == tuple6, box23.R7[Coll[GroupElement]].get == coll11, box23.R8[(Coll[Byte], Boolean)].get == tuple7, box23.R9[(Coll[Coll[Byte]], Long)].get == tuple8)), (box23.value >= l2) && coll24.forall({(tuple25: (Coll[Byte], Long)) =>\n val coll27 = tuple25._1\n coll24.fold(placeholder[Long](26), {(tuple28: (Long, (Coll[Byte], Long))) =>\n val tuple30 = tuple28._2\n val l31 = tuple28._1\n if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n }) >= coll3.fold(placeholder[Long](27), {(tuple28: (Long, (Coll[Byte], Long))) =>\n val tuple30 = tuple28._2\n val l31 = tuple28._1\n if (tuple30._1 == coll27) { l31 + tuple30._2 } else { l31 }\n })\n }), func13(OUTPUTS(placeholder[Int](28)))))) && prop9\n )} else { if (i1 == placeholder[Int](29)) {(\n val box23 = INPUTS(placeholder[Int](30))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll11.filter({(ge24: GroupElement) => func10((proveDlog(ge24), box23)) }).size == placeholder[Int](31), func16(box23))), func18((box23, OUTPUTS(placeholder[Int](32)))), func19(coll4), func13(OUTPUTS(placeholder[Int](33))), bool20, i12 > placeholder[Int](34))))\n )} else { if (i1 == placeholder[Int](35)) {(\n val box23 = INPUTS(placeholder[Int](36))\n sigmaProp(allOf(Coll[Boolean](func16(box23), func18((box23, OUTPUTS(placeholder[Int](37)))), func19(coll4), func13(OUTPUTS(placeholder[Int](38))), bool20, HEIGHT.toLong > tuple6._1, if (coll21.size > placeholder[Int](39)) {(\n val box24 = CONTEXT.dataInputs(placeholder[Int](40))\n val l25 = box24.R4[Long].get\n allOf(Coll[Boolean](box24.tokens(placeholder[Int](41))._1 == coll21, if (tuple7._2) { l25 >= l22 } else { l25 <= l22 }))\n )} else { placeholder[Boolean](42) })))\n )} else { sigmaProp(placeholder[Boolean](43)) } } } }\n}",
"address": "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",
"assets": [
{
"tokenId": "86b27ee586bc45d1ca9009975c6e97576e15ed511687c300c3a39502b8fce89f",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e20bab4adf6be5953b47ad72fb99940314189a9e7ec4affa9298f65e9336649b93106",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[bab4adf6be5953b47ad72fb99940314189a9e7ec4affa9298f65e9336649b931,3]"
},
"R6": {
"serializedValue": "5988b7bf0100",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1568196,0]"
},
"R8": {
"serializedValue": "490e0001",
"sigmaType": "(Coll[SByte], SBoolean)",
"renderedValue": "[,true]"
},
"R7": {
"serializedValue": "13010219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0",
"sigmaType": "Coll[SGroupElement]",
"renderedValue": "[0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0]"
},
"R9": {
"serializedValue": "4d1a02114b75736874692773205369676d614c6f6b208ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc03180dac409",
"sigmaType": "(Coll[Coll[SByte]], SLong)",
"renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
},
"R4": {
"serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"sigmaType": "SGroupElement",
"renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
}
},
"spentTransactionId": "454b841aeb0f896d50ce22e49e9b6dbfd089f1f7aa60b970633f17f90e02be75",
"mainChain": true
},
{
"boxId": "adf8c39e867f390495ecc95f913c7dc4a1f949786448df436df77ccc5ac7c6fe",
"transactionId": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"value": 1000000,
"index": 1,
"globalIndex": 48875948,
"creationHeight": 1568193,
"settlementHeight": 1568194,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [
{
"tokenId": "bab4adf6be5953b47ad72fb99940314189a9e7ec4affa9298f65e9336649b931",
"index": 0,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e154b75736874692773205369676d614c6f6b204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b75736874692773205369676d614c6f6b204b6579"
},
"R5": {
"serializedValue": "0e154b75736874692773205369676d614c6f6b204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b75736874692773205369676d614c6f6b204b6579"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "d8d1d1f32c6c61d38e21781803518d53d3d676c1f0500cb6dc085196167a4a66",
"mainChain": true
},
{
"boxId": "bf2e9a2528a617b5849f8844d0f0d7f84f8ca1a0fbd7f57050304bbfc08ea90b",
"transactionId": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"value": 10000000,
"index": 2,
"globalIndex": 48875949,
"creationHeight": 1568193,
"settlementHeight": 1568194,
"ergoTree": "0008cd0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19de7e,2d53d9,...)))}",
"address": "9eiTJkLo4CjFgp7eC9mgcJ1DpcENubWshZAASQZWzNEwpQKBJr2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "3b89354b4486bb653bc13576099753b43ef77d7ab13a03fb2fb6c08449b17337",
"mainChain": true
},
{
"boxId": "58f242c72278a84334d54275205c42a85b8b0b933a0e2671768b92044f61c204",
"transactionId": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"value": 1000000,
"index": 3,
"globalIndex": 48875950,
"creationHeight": 1568193,
"settlementHeight": 1568194,
"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": "c4d35b9b6cca2fb6d1006f9ab2dd78b028254872085b2d6beb86d9a85bfb1d87",
"mainChain": true
},
{
"boxId": "92ade079a4695d7911d25376babee5ad24627dba919155fab18c3cbaed5b0d28",
"transactionId": "d974de86355f2485703c49f04dda76edc3697e0445b05f794bb185b5963c246e",
"blockId": "b0ae6ec40ad51b10b66d536e7b1f656d606334de23cabc85a3cfd4eea3863e48",
"value": 3677000000,
"index": 4,
"globalIndex": 48875951,
"creationHeight": 1568193,
"settlementHeight": 1568194,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "454b841aeb0f896d50ce22e49e9b6dbfd089f1f7aa60b970633f17f90e02be75",
"mainChain": true
}
],
"size": 1812,
"isUnconfirmed": false
}