Transaction
ID: 796d9a4312...cdce
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00147456 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.34 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00347456 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.34 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 241,645
Total coins transferred: 2.34 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000538 ERG
Raw Transaction Data
{
"id": "796d9a4312dedf4570651dfbe4528dacbb7afa8dab3a2215022d3477ee70cdce",
"blockId": "64dea2968ac756ddb5c43219114ac94a9313d6649b27a091b21dc355584e7707",
"inclusionHeight": 1517637,
"timestamp": 1746361013905,
"index": 6,
"globalIndex": 8920477,
"numConfirmations": 241645,
"inputs": [
{
"boxId": "d0eb32c2141ee87616a4473fa4f855b4bec73b9c227b1f3bca738be1de22d9fb",
"value": 1474560,
"index": 0,
"spendingProof": null,
"outputBlockId": "976bb67aeee7dd3a3df0f57eb058251b684881ee3c6329523b4cf4ad8489914f",
"outputTransactionId": "cf61246861923d7f596e01f1f9acd86c0ed7466c0958addc04121a41cb6daa62",
"outputIndex": 1,
"outputGlobalIndex": 47691674,
"outputCreatedAt": 1517589,
"outputSettledAt": 1517591,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(24,-36,76,29,-92,-96,-87,28,8,-64,-73,-72,92,-51,70,-32,-78,-85,-111,57,107,56,-56,33,100,6,-107,-109,86,-128,94,59)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n27: 1\n28: 1474560\n29: 1\n30: 2\n31: 3\n32: 3\n33: 1\n34: 2\n35: true\n36: 2\n37: 0\n38: 2\n39: 1\n40: 3\n41: 1\n42: 2\n43: 0\n44: 1\n45: 2\n46: 2\n47: false\n48: 1000000\n49: 3474560",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27), box23.value == placeholder[Long](28))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](29)) == l7 + l48, coll47(placeholder[Int](30)) == l48, coll47(placeholder[Int](31)) == l27 + coll6(placeholder[Int](32))\n )\n ), bool14, coll24(placeholder[Int](33)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](34))._2 < l7 } else { placeholder[Boolean](35) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](36)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](39)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](40), i42 > placeholder[Int](41)))) { sigmaProp(if (i41 > placeholder[Int](42)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](43)), tuple28 == coll24(placeholder[Int](44)), coll1.getOrElse(placeholder[Int](45), tuple4) == coll24.getOrElse(placeholder[Int](46), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](47) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](48), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](49)))) }\n )} } } }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "a624c7e51ffae8f16fe024d8556faf47aac1c7fcaa7f584b95e9784e6426f630",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ffe4f1e9a2a35c2a7b695c3ffd35d12202bfe22d86db046173440dae715c353b",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110514aac3be010280c60a8084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,1560789,1,86400,100000000]"
},
"R5": {
"serializedValue": "1a02057469746c650d746869730a616e640a74686174",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7469746c65,746869730a616e640a74686174]"
},
"R6": {
"serializedValue": "0e240008cd0233e9a9935c8bbb8ae09b2c944c1d060492a8832252665e043b0732bdf593bf2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0233e9a9935c8bbb8ae09b2c944c1d060492a8832252665e043b0732bdf593bf2c"
},
"R7": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
}
}
},
{
"boxId": "129193895069a41a52f5c85b843b1674a746e659e8f24bdb1dc4e38f3d1a064a",
"value": 2338514347,
"index": 1,
"spendingProof": "30478a308614e9d7a065a0580283ff6323ebb0fe9a1b731e3125420833a560bdeaa93dea1d9dcd02437cf1d32563b665354deae4f0075223",
"outputBlockId": "06c3a423b35b9e695ba035c63201f581d1482711035555c7ef7c9d215cfe4e46",
"outputTransactionId": "33787b1158f949d738f16f59e960d4a2c52fabaacfe295aa780e65756af513f5",
"outputIndex": 3,
"outputGlobalIndex": 47684081,
"outputCreatedAt": 1517165,
"outputSettledAt": 1517167,
"ergoTree": "0008cd02eb083423041003740c9e791b2fea5ecf6e273669630a25b7ecabf9145395e447",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eb0834,848edd,...)))}",
"address": "9gJa6Mict6TVu9yipUX5aRUW87Yv8J62bbPEtkTje28sh5i3Lz8",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 143,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "f60bff91f7ae3f3a5f0c2d35b46ef8991f213a61d7f7e453d344fa52a42d9f9a",
"index": 1,
"amount": 49999999940,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "e38048c74cb92bb2f908c2465106f7ab2f2632fbbbb72a26c372276263b2b011",
"index": 2,
"amount": 1,
"name": "oraclePoolNFT TEST",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d2d0deb3b0b2c511e523fd43ae838ba7b89e4583f165169b90215ff11d942c1f",
"index": 3,
"amount": 1000000000000000,
"name": "SwapToken Test1",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "b73a806dee528632b8d76f07813a1f1b66b8e11bc32b3ad09f8051265f3664ab",
"index": 4,
"amount": 49999800000000000,
"name": "TestToken Test2",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "a346b3fa8e7cfed2182a6faaf898e1a89196e01197b0ce1ac83edcb8dce7bf1a",
"transactionId": "796d9a4312dedf4570651dfbe4528dacbb7afa8dab3a2215022d3477ee70cdce",
"blockId": "64dea2968ac756ddb5c43219114ac94a9313d6649b27a091b21dc355584e7707",
"value": 3474560,
"index": 0,
"globalIndex": 47692501,
"creationHeight": 1517635,
"settlementHeight": 1517637,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(24,-36,76,29,-92,-96,-87,28,8,-64,-73,-72,92,-51,70,-32,-78,-85,-111,57,107,56,-56,33,100,6,-107,-109,86,-128,94,59)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n27: 1\n28: 1474560\n29: 1\n30: 2\n31: 3\n32: 3\n33: 1\n34: 2\n35: true\n36: 2\n37: 0\n38: 2\n39: 1\n40: 3\n41: 1\n42: 2\n43: 0\n44: 1\n45: 2\n46: 2\n47: false\n48: 1000000\n49: 3474560",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27), box23.value == placeholder[Long](28))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](29)) == l7 + l48, coll47(placeholder[Int](30)) == l48, coll47(placeholder[Int](31)) == l27 + coll6(placeholder[Int](32))\n )\n ), bool14, coll24(placeholder[Int](33)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](34))._2 < l7 } else { placeholder[Boolean](35) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](36)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](39)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](40), i42 > placeholder[Int](41)))) { sigmaProp(if (i41 > placeholder[Int](42)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](43)), tuple28 == coll24(placeholder[Int](44)), coll1.getOrElse(placeholder[Int](45), tuple4) == coll24.getOrElse(placeholder[Int](46), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](47) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](48), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](49)))) }\n )} } } }\n }\n}",
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"assets": [
{
"tokenId": "a624c7e51ffae8f16fe024d8556faf47aac1c7fcaa7f584b95e9784e6426f630",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ffe4f1e9a2a35c2a7b695c3ffd35d12202bfe22d86db046173440dae715c353b",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 10,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a02057469746c650d746869730a616e640a74686174",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7469746c65,746869730a616e640a74686174]"
},
"R6": {
"serializedValue": "0e240008cd0233e9a9935c8bbb8ae09b2c944c1d060492a8832252665e043b0732bdf593bf2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0233e9a9935c8bbb8ae09b2c944c1d060492a8832252665e043b0732bdf593bf2c"
},
"R8": {
"serializedValue": "0e240008cd02eb083423041003740c9e791b2fea5ecf6e273669630a25b7ecabf9145395e447",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02eb083423041003740c9e791b2fea5ecf6e273669630a25b7ecabf9145395e447"
},
"R7": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
},
"R4": {
"serializedValue": "110514aac3be010280c60a8084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,1560789,1,86400,100000000]"
}
},
"spentTransactionId": "4d0ebe00e8c907c7e1aca80965f822546866fb31d78c6a444091aa5981cb44b5",
"mainChain": true
},
{
"boxId": "5d7835a2587b07f790ae49adace2b8d87662cf462ab8353ca21a481b3e7d18d0",
"transactionId": "796d9a4312dedf4570651dfbe4528dacbb7afa8dab3a2215022d3477ee70cdce",
"blockId": "64dea2968ac756ddb5c43219114ac94a9313d6649b27a091b21dc355584e7707",
"value": 1000000,
"index": 1,
"globalIndex": 47692502,
"creationHeight": 1517635,
"settlementHeight": 1517637,
"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": "4f93a7763fe498b7572c729f4c2db185d1dbb26b4e51ee3fdd627580915b6eef",
"mainChain": true
},
{
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"transactionId": "796d9a4312dedf4570651dfbe4528dacbb7afa8dab3a2215022d3477ee70cdce",
"blockId": "64dea2968ac756ddb5c43219114ac94a9313d6649b27a091b21dc355584e7707",
"value": 2335514347,
"index": 2,
"globalIndex": 47692503,
"creationHeight": 1517635,
"settlementHeight": 1517637,
"ergoTree": "0008cd02eb083423041003740c9e791b2fea5ecf6e273669630a25b7ecabf9145395e447",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eb0834,848edd,...)))}",
"address": "9gJa6Mict6TVu9yipUX5aRUW87Yv8J62bbPEtkTje28sh5i3Lz8",
"assets": [
{
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"index": 0,
"amount": 133,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 49999999940,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "oraclePoolNFT TEST",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d2d0deb3b0b2c511e523fd43ae838ba7b89e4583f165169b90215ff11d942c1f",
"index": 3,
"amount": 1000000000000000,
"name": "SwapToken Test1",
"decimals": 9,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 49999800000000000,
"name": "TestToken Test2",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4bbac274650837758f6a0e2cf7003afeafc9c596d603a6c1b1790fd8ec586aca",
"mainChain": true
}
],
"size": 1859,
"isUnconfirmed": false
}