Transaction
ID: 0c9ebdb8e3...0c58
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.8 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.79 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 1,073,907
Total coins transferred: 1.8 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000356 ERG
Raw Transaction Data
{
"id": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"inclusionHeight": 686849,
"timestamp": 1644958795251,
"index": 5,
"globalIndex": 2653525,
"numConfirmations": 1073907,
"inputs": [
{
"boxId": "81dcd6114092f799d26d973c39d781b89e096f65ec6ff35058567805f6c9fd7e",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f876d578aba53333cd7db38b219a696dd12cb1c6fe370b0dc794a06fd4e1ddcf",
"outputTransactionId": "4531a81e404cfdc4b183cde853279eeabe15ca6222ff303204cfe6d36c5482f9",
"outputIndex": 0,
"outputGlobalIndex": 13266557,
"outputCreatedAt": 686844,
"outputSettledAt": 686846,
"ergoTree": "106f04020400040204000402040004000408040804040e200dee1cb3dc5750ba57cc7cdcd8cc8a581487a024f9a3c6ff5758bf8615976af504020402040404000400040004020404040405020406040605020e20bcec750a5faa661c82115231cbb247b2729ffa65687326d95c1e7459c8a35129040004020580dddb0105020e20000e21f8e51ad4a3d3bdde9ac34d19eb2c24c92d2022260af6f99148cbc021d105d00f04020502040204000e200e0ce70547f8743ae61053f993eed720c698dc21a9ac3fa1358b8e64edee342b04060404040204060400040205020404050004000400040205020404040404060400040004020402050004020402040204040404040604060400040004060404040205000402048090e4c004040804040400040a04060400040204020404040405020500040604060502050005100500050c050a05c801050805fa0105d00f0504052805c801053205c801050004040400040205d00f04000400040201010100d817d601b2a5730000d602db63087201d603b27202730100d6048c720301d605db6308a7d606b27205730200d6078c720601d6089372047207d609b2a5730300d60ae4c672090411d60be4c6a70411d60c8c720602d60ddb63087209d60eb2720d730400d60f8c720e02d610db6903db6503fed6118c720302d612b2720d730500d613b27205730600d614b2720b730700d61593b2720a7308007214d6169683070193c27209c2a793c17209c1a7938c7212018c721301938c7212028c721302938c720e017207721593b1720d7309d617730a957208d807d618b27202730b00d6198c721802d61ab2720b730c00d61be4c672010411d61ce4c67201050ed61db2a5730d00d61eb2db6308721d730e00d196831101721693b2720a730f009ab2720b731000721993b2720a731100721a93b2720a7312009ab2720b731300731493b2720a731500b2720b73160093720f99720c731793cbc27201731893b2721b731900721a92b2721b731a00997210731b93721cc5a77208937211731c938c721801731d927219731e93c2721dc2b2a4731f00938c721e01721c938c721e027320d804d618b2a4732100d619db63087218d61ab27219732200d61b8c721a0195ed93721b732392b1a47324d804d61cb2a4732500d61de4c6721c0411d61eb2720b732600d61fb2720a732700d196830a017216938cb2db6308721c73280001721793b2721d73290099721e732a93b2721d732b00732c93b2720a732d00b2720b732e0093b2720a732f009a721e733093b2720a733100b2720b73320093721f9ab2720b73330072148f721f721093720f720c9593721b7217d196830701721693b2720a733400999ab2720b7335008cb27219733600029593b17202733773388cb272027339000293b2720a733a00b2720b733b0093b2720a733c00b2720b733d0093b2720a733e00b2720b733f00721593720f720cd802d61cb2720b734000d61db2720a73410095ed91721c721d92b1a47342d809d61eb2a4734300d61fb27219734400d62099721c721dd621998c721f027220d6229372217345d6238c721f01d624e4c672180411d625b27224734600d6269d99721072257e734705d196830c017216aedb6308721ed901274d0e938c722701e4c67218050e957222ed90b1a5734893b1db6308b2a5734900734aed90b1a5734b93b1db6308b2a5734c00734d93721d99721c722093b2720a734e00b2720b734f0093b2720a73500099b2720b7351009572227352735393b2720a735400b2720b73550093720f9a720c9572227356735793c27201c2721e9372047223937211997220959272267358735995927226735a9d9c7220735b735c95927226735d9d9c7220735e735f9592722673609d9c7220736173629d9c722073637364959172217365d805d627b2a5736600d628db63087227d629b27228736700d62ab27228736800d62be4c6722704119683080193c17227c17218938c722901721b938c7229028c721a02938c722a017223938c722a027221927221736993b2722b736a00b27224736b0093b2722b736c007225736dd1736e",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 4\n8: 4\n9: 2\n10: Coll(13,-18,28,-77,-36,87,80,-70,87,-52,124,-36,-40,-52,-118,88,20,-121,-96,36,-7,-93,-58,-1,87,88,-65,-122,21,-105,106,-11)\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-68,-20,117,10,95,-86,102,28,-126,17,82,49,-53,-78,71,-78,114,-97,-6,101,104,115,38,-39,92,30,116,89,-56,-93,81,41)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: Coll(0,14,33,-8,-27,26,-44,-93,-45,-67,-34,-102,-61,77,25,-21,44,36,-55,45,32,34,38,10,-10,-7,-111,72,-53,-64,33,-47)\n30: 1000\n31: 1\n32: 1\n33: 1\n34: 0\n35: Coll(14,12,-25,5,71,-8,116,58,-26,16,83,-7,-109,-18,-41,32,-58,-104,-36,33,-87,-84,63,-95,53,-117,-114,100,-19,-18,52,43)\n36: 3\n37: 2\n38: 1\n39: 3\n40: 0\n41: 1\n42: 1\n43: 2\n44: 0\n45: 0\n46: 0\n47: 1\n48: 1\n49: 2\n50: 2\n51: 3\n52: 0\n53: 0\n54: 1\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: 2\n61: 2\n62: 3\n63: 3\n64: 0\n65: 0\n66: 3\n67: 2\n68: 1\n69: 0\n70: 1\n71: 604800000\n72: 4\n73: 2\n74: 0\n75: 5\n76: 3\n77: 0\n78: 1\n79: 1\n80: 2\n81: 2\n82: 1\n83: 0\n84: 3\n85: 3\n86: 1\n87: 0\n88: 8\n89: 0\n90: 6\n91: 5\n92: 100\n93: 4\n94: 125\n95: 1000\n96: 2\n97: 20\n98: 100\n99: 25\n100: 100\n101: 0\n102: 2\n103: 0\n104: 1\n105: 1000\n106: 0\n107: 0\n108: 1\n109: true\n110: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val tuple18 = coll13(placeholder[Int](5))\n val tuple19 = coll5(placeholder[Int](6))\n val l20 = coll11(placeholder[Int](7))\n val bool21 = coll10(placeholder[Int](8)) == l20\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple18._1 == tuple19._1, tuple18._2 == tuple19._2, tuple14._1 == coll7, bool21, coll13.size == placeholder[\n Int\n ](9)\n )\n )\n val coll23 = placeholder[Coll[Byte]](10)\n if (bool8) {(\n val tuple24 = coll2(placeholder[Int](11))\n val l25 = tuple24._2\n val l26 = coll11(placeholder[Int](12))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](13))\n val tuple30 = box29.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l25, coll10(placeholder[Int](17)) == l26, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll27(placeholder[Int](25)) == l26, coll27(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll28 == SELF.id, bool8, l17 == placeholder[Long](28), tuple24._1 == placeholder[Coll[Byte]](\n 29\n ), l25 >= placeholder[Long](30), box29.propositionBytes == INPUTS(\n placeholder[Int](31)\n ).propositionBytes, tuple30._1 == coll28, tuple30._2 == placeholder[Long](32)\n )\n )\n )\n )} else {(\n val box24 = INPUTS(placeholder[Int](33))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](34))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](35)) && (INPUTS.size >= placeholder[Int](36))) {(\n val box28 = INPUTS(placeholder[Int](37))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll11(placeholder[Int](38))\n val l31 = coll10(placeholder[Int](39))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box28.tokens(placeholder[Int](40))._1 == coll23, coll29(placeholder[Int](41)) == l30 - placeholder[Long](42), coll29(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == coll11(placeholder[Int](46)), coll10(placeholder[Int](47)) == l30 + placeholder[Long](\n 48\n ), coll10(placeholder[Int](49)) == coll11(placeholder[Int](50)), l31 == coll11(placeholder[Int](51)) + l20, l31 < l16, l15 == l12\n )\n )\n )\n )} else {\n if (coll27 == coll23) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](52)) == coll11(placeholder[Int](53)) + coll25(placeholder[Int](54))._2 - if (coll2.size == placeholder[Int](55)) {\n placeholder[Long](56)\n } else { coll2(placeholder[Int](57))._2 }, coll10(placeholder[Int](58)) == coll11(placeholder[Int](59)), coll10(placeholder[Int](60)) == coll11(\n placeholder[Int](61)\n ), coll10(placeholder[Int](62)) == coll11(placeholder[Int](63)), bool21, l15 == l12\n )\n )\n )\n } else {(\n val l28 = coll11(placeholder[Int](64))\n val l29 = coll10(placeholder[Int](65))\n if ((l28 > l29) && (INPUTS.size >= placeholder[Int](66))) {(\n val box30 = INPUTS(placeholder[Int](67))\n val tuple31 = coll25(placeholder[Int](68))\n val l32 = l28 - l29\n val l33 = tuple31._2 - l32\n val bool34 = l33 == placeholder[Long](69)\n val coll35 = tuple31._1\n val coll36 = box24.R4[Coll[Long]].get\n val l37 = coll36(placeholder[Int](70))\n val l38 = l16 - l37 / placeholder[Int](71).toLong\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box30.tokens.exists({(tuple39: (Coll[Byte], Long)) => tuple39._1 == box24.R5[Coll[Byte]].get }), if (bool34) {\n (OUTPUTS.size <= placeholder[Int](72)) && (OUTPUTS(placeholder[Int](73)).tokens.size == placeholder[Int](74))\n } else {\n (OUTPUTS.size <= placeholder[Int](75)) && (OUTPUTS(placeholder[Int](76)).tokens.size == placeholder[Int](77))\n }, l29 == l28 - l32, coll10(placeholder[Int](78)) == coll11(placeholder[Int](79)), coll10(placeholder[Int](80)) == coll11(\n placeholder[Int](81)\n ) - if (bool34) { placeholder[Long](82) } else { placeholder[Long](83) }, coll10(placeholder[Int](84)) == coll11(\n placeholder[Int](85)\n ), l15 == l12 + if (bool34) { placeholder[Long](86) } else {\n placeholder[Long](87)\n }, box1.propositionBytes == box30.propositionBytes, coll4 == coll35, l17 == l32 - if (l38 >= placeholder[Long](88)) {\n placeholder[Long](89)\n } else {\n if (l38 >= placeholder[Long](90)) { l32 * placeholder[Long](91) / placeholder[Long](92) } else {\n if (l38 >= placeholder[Long](93)) { l32 * placeholder[Long](94) / placeholder[Long](95) } else {\n if (l38 >= placeholder[Long](96)) { l32 * placeholder[Long](97) / placeholder[Long](98) } else {\n l32 * placeholder[Long](99) / placeholder[Long](100)\n }\n }\n }\n }, if (l33 > placeholder[Long](101)) {(\n val box39 = OUTPUTS(placeholder[Int](102))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](103))\n val tuple42 = coll40(placeholder[Int](104))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll35, tuple42._2 == l33, l33 >= placeholder[\n Long\n ](105), coll43(placeholder[Int](106)) == coll36(placeholder[Int](107)), coll43(placeholder[Int](108)) == l37\n )\n )\n )} else { placeholder[Boolean](109) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](110)) }\n )}\n }\n )}\n}",
"address": "28zwgosYkis3fScneohwUp8uXv1S1zqy2eBzvqmdFdgPXAxpzdt9RqGn3yi9t8tVcRvhWvVRH3oyLz5bXa7MXVqpwgVSKTN2Mu3XRdqqqhh5A5xYx6vAi6t4ukQCgrwyJLCjLPghkJQ725TbxpEtfe2kooHbBj2rEt2jJBZvx8CWQzDugPkUHK8Sa6biDE6e4CSVjT8SVZab5ramgEZL6b1xr9xeLqRbWhda3P5vZWpfaKSexRayjitX8tWa9VFbzy7Jhg6DEWGCKZ7ethWkYw7bC62WqAdMdAjHqp3CztvVs5ndehKefksAVwdSAnGH4Qh7EZCnuw2Doo691SCcLTm8CuKsAiCa1HV2ucjwfAuTfzgwtHPr1Lj898D9BP4PFN7FbSkjn9HbWrp6dZJBwpqB2E8BR3fuYr7fu9wLyw2RKnFAbYVBPDEusRbaWsZhcL3pbaYhYndAdSHx3vAPGhCyig5WqqtHS5RdbJcVpN8zd2JxXFVJJ2fXBnko5q4usM24hVTU1Hk18wh42dz93QNpK3jv8T3rUuNZ94EpjHifuwi6xWJVhnZTeYnMEj9mSJuVtYDDDLU64gTDnkhVXeFgGufTbdnXMuqkB596WsMgps3FCVpxiscBiGPHAidd3TVCVjPhVGFThGXYcDsJUogfzNRfz2XAKQy439akWqtg4nrtpv2yBrVDraNtoNwfHSNn54guoXFd2uo7gYKFNxYxD8oiLBoVofCGjuz8UdwEspfFZAZ7ZzkujY2Ms8utBFnzKsC31jQcusDkg7GiG8tPYkqjvPxbUcFkqQ4UX2MP3nfTdb4SwEkZ4gjAUiQM8kkBZQW4HMFAVGUbT1fturQQqWU2Kt1w67N3QerxvEw6q5a5AGBAmVPgbv8AGDeG3QNMqWuo4qRqQyyUUewFxKhsMnQ5wbCViPUA5FkUcTrC6JMxqf2vB3dFAYHEbGciriVo3yQYPR2UHbuLWnDYGx4jCm3GDBRr6WtTtgqpYLEXFLbDX34ziiJMT1mqsNbvsjFwKUzw2YSBaDe1M6GPba7Sbgd1tL2XWJr5168H1EXZSX4iUNx1P9HecEa1cy4TrDxDPiaAbDRzo1pGyvv7p8DhzGQBqy6sAdUpabiYzf2fqEqHhETBdVw2T5E4GDFjCohkGwPFe3xmEexkMFjkF2sA1xFRqc4yzX7pSCJzdqKJDrygFBZYRNYmm8zmZ5JpmRDwpcLEaUFWVEVrjVZnHfmJLkyJuraLGQBuTUc7TdSG8GSBqgWQFTxie2dNpTpLzgD8gM6Qnht1zyebQR8Txx9g9A6pWXPgGUqfMQ5xfazNeBWDRcHcTh1p6qJfFHpTbGX4FUtRqRuKxptpznFGiGfxyqib34hkaUxtE2R354SMmhjcFu9b5wkbUBPQuzCwNsLanB3fkxFSmZYzW4C5mPA8NvF3qDmtMTWEoqjNaDSU2YWZizCCJZ9bStU26K6oqUrkNvBiCkFSk7EKsFtMWytAcHCpzBBb1MQNTsn78jY11mA6r4ZjU3o9SikYhwHWKicUyiLDQZAhdzFUtxhqQa7YvSa5x9uZ7quVZnMTcDCsYPtfVPorZTQ5YvixifPQ6HvoBEKP4XZboaxeT5AoUkxiwC2YtZ2mSHmrNwzgi3tDQ5MbrKZfUnBYwveFMQ73WqXnW2PuiBqj2WyG3f1MfiQawJZ6H3PWZ9n7HHYZS9o9CpnGDqfZqyyPzFKGRcjiGveeSvkPMLwsuWUapVeTreyUeMycuVNnWdWxekkabaJ6PUWzZUHm5cjfPXcJ8Wi8MSm4uCF6SA7pkUAYS6LTAJAhnfkve27VnSyYeTBTCNf1DGujtMHJkLgVTKZMMVPrayPE7VYiB4CkS9GbFxhCP7vUYmibNWaFq5RjCyqrF7xVYcw8bxyQcUYahHbHf9BzXzu6b5JoUV3rD24kDeAZJznfYLzb4CoddvnikaqReccuSzQE2ZSunNWGAHMVkgCb5xgsidH178RNJ3tF46gpRrkyYtsBSA3DzjKhxgVsqzgGiFrLb88ckhbd8orAwx2",
"assets": [
{
"tokenId": "00703e4137e5dbd7a200b7b943c1bf0ba2a577c9a3a2ff6880ef05bf44401fe9",
"index": 0,
"amount": 1,
"name": "StakeTest Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0e2e934ddddf92840661afc6d27d570f359dcb70dddac3d082d57ba74db67b02",
"index": 1,
"amount": 999999995,
"name": "StakeTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105aed8f28301020ae2c8c98cdf5f80bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[138302999,1,5,1644851442225,3600000]"
}
}
},
{
"boxId": "c3c1bb82b2b784c8f3609f2b21d7d2a6b97c62892305cfd6184d8b9de342b42e",
"value": 1796546508,
"index": 1,
"spendingProof": "b9d4bda821879abd84639cbf8beefc8a33d7671c73ce9100844fea7c8b23cc78dcea61cadc2bfca676550d4a0ad90f081ec9fb3d3d0a5540",
"outputBlockId": "f876d578aba53333cd7db38b219a696dd12cb1c6fe370b0dc794a06fd4e1ddcf",
"outputTransactionId": "4531a81e404cfdc4b183cde853279eeabe15ca6222ff303204cfe6d36c5482f9",
"outputIndex": 4,
"outputGlobalIndex": 13266561,
"outputCreatedAt": 686844,
"outputSettledAt": 686846,
"ergoTree": "0008cd0204a4a5d759ded454b749ef251564e2b57d464c7902c146e72a0cde3f4a72c16a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4a4a5d,6ae048,...)))}",
"address": "9eZ77otC8nncPcph58K4wDTuaebnRT5ahLMFdXFWtCQyqkvnkrC",
"assets": [
{
"tokenId": "000e21f8e51ad4a3d3bdde9ac34d19eb2c24c92d2022260af6f99148cbc021d1",
"index": 0,
"amount": 1990497000,
"name": "StakeTest",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "984c24667bba40d090cd133b7f7096f4095d31f5e1f70f6e8e8196246f6ff7f7",
"index": 1,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 11:40:35.315203",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0dc1398d89e00fe1bed0a7964eb1169b6e4545389c6d6cb22444ca13b7aa0056",
"index": 2,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:18:41.488339",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "97b58c64ae6ebc1f5efd8d2e2bbce1274ec2c5530d023ca7fe32eda7dcd92677",
"index": 3,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:33:07.731225",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "00f352e7ab9dd8ac7068730c16f7a8e958bc7d315e128fab79560fa971255e36",
"value": 1000000,
"index": 2,
"spendingProof": "2c8c083ca498e48d73be58365d76880157b5407ece1ef6bc98489168bb91600b7d84fcde1fc084bf383fe4f871212b291dee346eb37cc569",
"outputBlockId": "f876d578aba53333cd7db38b219a696dd12cb1c6fe370b0dc794a06fd4e1ddcf",
"outputTransactionId": "4531a81e404cfdc4b183cde853279eeabe15ca6222ff303204cfe6d36c5482f9",
"outputIndex": 2,
"outputGlobalIndex": 13266559,
"outputCreatedAt": 686844,
"outputSettledAt": 686846,
"ergoTree": "0008cd0204a4a5d759ded454b749ef251564e2b57d464c7902c146e72a0cde3f4a72c16a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4a4a5d,6ae048,...)))}",
"address": "9eZ77otC8nncPcph58K4wDTuaebnRT5ahLMFdXFWtCQyqkvnkrC",
"assets": [
{
"tokenId": "e8c46216d87ffdb16d60676a32e893fa70059f41ead869a690ee711210e909ee",
"index": 0,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:55:00.125298",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2e5374616b6554657374205374616b65204b657920323032322d30322d31352032303a35353a30302e313235323938",
"sigmaType": "Coll[SByte]",
"renderedValue": "5374616b6554657374205374616b65204b657920323032322d30322d31352032303a35353a30302e313235323938"
},
"R5": {
"serializedValue": "0e2c5374616b65206b657920746f206265207573656420666f7220756e7374616b696e67205374616b6554657374",
"sigmaType": "Coll[SByte]",
"renderedValue": "5374616b65206b657920746f206265207573656420666f7220756e7374616b696e67205374616b6554657374"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8f70a6d96fc957e343506800459118f3665fd8ae226af69292107f2171f458cd",
"transactionId": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"value": 1000000,
"index": 0,
"globalIndex": 13266620,
"creationHeight": 686847,
"settlementHeight": 686849,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 4\n8: 4\n9: 2\n10: Coll(13,-18,28,-77,-36,87,80,-70,87,-52,124,-36,-40,-52,-118,88,20,-121,-96,36,-7,-93,-58,-1,87,88,-65,-122,21,-105,106,-11)\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-68,-20,117,10,95,-86,102,28,-126,17,82,49,-53,-78,71,-78,114,-97,-6,101,104,115,38,-39,92,30,116,89,-56,-93,81,41)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: Coll(0,14,33,-8,-27,26,-44,-93,-45,-67,-34,-102,-61,77,25,-21,44,36,-55,45,32,34,38,10,-10,-7,-111,72,-53,-64,33,-47)\n30: 1000\n31: 1\n32: 1\n33: 1\n34: 0\n35: Coll(14,12,-25,5,71,-8,116,58,-26,16,83,-7,-109,-18,-41,32,-58,-104,-36,33,-87,-84,63,-95,53,-117,-114,100,-19,-18,52,43)\n36: 3\n37: 2\n38: 1\n39: 3\n40: 0\n41: 1\n42: 1\n43: 2\n44: 0\n45: 0\n46: 0\n47: 1\n48: 1\n49: 2\n50: 2\n51: 3\n52: 0\n53: 0\n54: 1\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: 2\n61: 2\n62: 3\n63: 3\n64: 0\n65: 0\n66: 3\n67: 2\n68: 1\n69: 0\n70: 1\n71: 604800000\n72: 4\n73: 2\n74: 0\n75: 5\n76: 3\n77: 0\n78: 1\n79: 1\n80: 2\n81: 2\n82: 1\n83: 0\n84: 3\n85: 3\n86: 1\n87: 0\n88: 8\n89: 0\n90: 6\n91: 5\n92: 100\n93: 4\n94: 125\n95: 1000\n96: 2\n97: 20\n98: 100\n99: 25\n100: 100\n101: 0\n102: 2\n103: 0\n104: 1\n105: 1000\n106: 0\n107: 0\n108: 1\n109: true\n110: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val tuple18 = coll13(placeholder[Int](5))\n val tuple19 = coll5(placeholder[Int](6))\n val l20 = coll11(placeholder[Int](7))\n val bool21 = coll10(placeholder[Int](8)) == l20\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple18._1 == tuple19._1, tuple18._2 == tuple19._2, tuple14._1 == coll7, bool21, coll13.size == placeholder[\n Int\n ](9)\n )\n )\n val coll23 = placeholder[Coll[Byte]](10)\n if (bool8) {(\n val tuple24 = coll2(placeholder[Int](11))\n val l25 = tuple24._2\n val l26 = coll11(placeholder[Int](12))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](13))\n val tuple30 = box29.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l25, coll10(placeholder[Int](17)) == l26, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll27(placeholder[Int](25)) == l26, coll27(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll28 == SELF.id, bool8, l17 == placeholder[Long](28), tuple24._1 == placeholder[Coll[Byte]](\n 29\n ), l25 >= placeholder[Long](30), box29.propositionBytes == INPUTS(\n placeholder[Int](31)\n ).propositionBytes, tuple30._1 == coll28, tuple30._2 == placeholder[Long](32)\n )\n )\n )\n )} else {(\n val box24 = INPUTS(placeholder[Int](33))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](34))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](35)) && (INPUTS.size >= placeholder[Int](36))) {(\n val box28 = INPUTS(placeholder[Int](37))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll11(placeholder[Int](38))\n val l31 = coll10(placeholder[Int](39))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box28.tokens(placeholder[Int](40))._1 == coll23, coll29(placeholder[Int](41)) == l30 - placeholder[Long](42), coll29(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == coll11(placeholder[Int](46)), coll10(placeholder[Int](47)) == l30 + placeholder[Long](\n 48\n ), coll10(placeholder[Int](49)) == coll11(placeholder[Int](50)), l31 == coll11(placeholder[Int](51)) + l20, l31 < l16, l15 == l12\n )\n )\n )\n )} else {\n if (coll27 == coll23) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](52)) == coll11(placeholder[Int](53)) + coll25(placeholder[Int](54))._2 - if (coll2.size == placeholder[Int](55)) {\n placeholder[Long](56)\n } else { coll2(placeholder[Int](57))._2 }, coll10(placeholder[Int](58)) == coll11(placeholder[Int](59)), coll10(placeholder[Int](60)) == coll11(\n placeholder[Int](61)\n ), coll10(placeholder[Int](62)) == coll11(placeholder[Int](63)), bool21, l15 == l12\n )\n )\n )\n } else {(\n val l28 = coll11(placeholder[Int](64))\n val l29 = coll10(placeholder[Int](65))\n if ((l28 > l29) && (INPUTS.size >= placeholder[Int](66))) {(\n val box30 = INPUTS(placeholder[Int](67))\n val tuple31 = coll25(placeholder[Int](68))\n val l32 = l28 - l29\n val l33 = tuple31._2 - l32\n val bool34 = l33 == placeholder[Long](69)\n val coll35 = tuple31._1\n val coll36 = box24.R4[Coll[Long]].get\n val l37 = coll36(placeholder[Int](70))\n val l38 = l16 - l37 / placeholder[Int](71).toLong\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box30.tokens.exists({(tuple39: (Coll[Byte], Long)) => tuple39._1 == box24.R5[Coll[Byte]].get }), if (bool34) {\n (OUTPUTS.size <= placeholder[Int](72)) && (OUTPUTS(placeholder[Int](73)).tokens.size == placeholder[Int](74))\n } else {\n (OUTPUTS.size <= placeholder[Int](75)) && (OUTPUTS(placeholder[Int](76)).tokens.size == placeholder[Int](77))\n }, l29 == l28 - l32, coll10(placeholder[Int](78)) == coll11(placeholder[Int](79)), coll10(placeholder[Int](80)) == coll11(\n placeholder[Int](81)\n ) - if (bool34) { placeholder[Long](82) } else { placeholder[Long](83) }, coll10(placeholder[Int](84)) == coll11(\n placeholder[Int](85)\n ), l15 == l12 + if (bool34) { placeholder[Long](86) } else {\n placeholder[Long](87)\n }, box1.propositionBytes == box30.propositionBytes, coll4 == coll35, l17 == l32 - if (l38 >= placeholder[Long](88)) {\n placeholder[Long](89)\n } else {\n if (l38 >= placeholder[Long](90)) { l32 * placeholder[Long](91) / placeholder[Long](92) } else {\n if (l38 >= placeholder[Long](93)) { l32 * placeholder[Long](94) / placeholder[Long](95) } else {\n if (l38 >= placeholder[Long](96)) { l32 * placeholder[Long](97) / placeholder[Long](98) } else {\n l32 * placeholder[Long](99) / placeholder[Long](100)\n }\n }\n }\n }, if (l33 > placeholder[Long](101)) {(\n val box39 = OUTPUTS(placeholder[Int](102))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](103))\n val tuple42 = coll40(placeholder[Int](104))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll35, tuple42._2 == l33, l33 >= placeholder[\n Long\n ](105), coll43(placeholder[Int](106)) == coll36(placeholder[Int](107)), coll43(placeholder[Int](108)) == l37\n )\n )\n )} else { placeholder[Boolean](109) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](110)) }\n )}\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "00703e4137e5dbd7a200b7b943c1bf0ba2a577c9a3a2ff6880ef05bf44401fe9",
"index": 0,
"amount": 1,
"name": "StakeTest Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0e2e934ddddf92840661afc6d27d570f359dcb70dddac3d082d57ba74db67b02",
"index": 1,
"amount": 999999994,
"name": "StakeTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105fee7f28301020ce2c8c98cdf5f80bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[138303999,1,6,1644851442225,3600000]"
}
},
"spentTransactionId": "e19a5b2f4323560345d7143c838d763d64f1e66d12d8a04bab85436a1844c6c3",
"mainChain": true
},
{
"boxId": "f65194c5df033d727daa8a900ba26fd2555f4ea3ee617d0027a379030408e71b",
"transactionId": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"value": 1000000,
"index": 1,
"globalIndex": 13266621,
"creationHeight": 686847,
"settlementHeight": 686849,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: Coll(0,112,62,65,55,-27,-37,-41,-94,0,-73,-71,67,-63,-65,11,-94,-91,119,-55,-93,-94,-1,104,-128,-17,5,-65,68,64,31,-23)\n4: 0\n5: Coll(13,-18,28,-77,-36,87,80,-70,87,-52,124,-36,-40,-52,-118,88,20,-121,-96,36,-7,-93,-58,-1,87,88,-65,-122,21,-105,106,-11)\n6: 0\n7: 0\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 1\n15: 1\n16: 3\n17: 0\n18: 2\n19: 1\n20: 1\n21: false\n22: true\n23: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val bool2 = INPUTS(placeholder[Int](1)).tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)\n if (box1.tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5)) {(\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = SELF.R4[Coll[Long]].get\n val coll6 = box3.tokens\n val tuple7 = coll6(placeholder[Int](7))\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](8))\n val tuple10 = coll6(placeholder[Int](9))\n val tuple11 = coll8(placeholder[Int](10))\n val l12 = tuple11._2\n val coll13 = box1.R4[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool2, box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](11)) == coll5(\n placeholder[Int](12)\n ) + placeholder[Long](13), box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, coll4(placeholder[Int](14)) == coll5(\n placeholder[Int](15)\n ), tuple7._1 == tuple9._1, tuple7._2 == tuple9._2, tuple10._1 == tuple11._1, tuple10._2 == l12 + coll13(placeholder[Int](16)) * l12 / coll13(\n placeholder[Int](17)\n )\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](18))\n sigmaProp(bool2 && if (box3.propositionBytes == SELF.propositionBytes) {(\n val opt4 = box3.R5[Coll[Byte]]\n if (opt4.isDefined) { (opt4.get == SELF.R5[Coll[Byte]].get) && (OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == box1.R5[Coll[Byte]].get) } else { placeholder[Boolean](21) }\n )} else { placeholder[Boolean](22) })\n )} else { sigmaProp(placeholder[Boolean](23)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "0e2e934ddddf92840661afc6d27d570f359dcb70dddac3d082d57ba74db67b02",
"index": 0,
"amount": 1,
"name": "StakeTest Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "000e21f8e51ad4a3d3bdde9ac34d19eb2c24c92d2022260af6f99148cbc021d1",
"index": 1,
"amount": 1000,
"name": "StakeTest",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110202c49ff3f2df5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1644958738402]"
},
"R5": {
"serializedValue": "0e2081dcd6114092f799d26d973c39d781b89e096f65ec6ff35058567805f6c9fd7e",
"sigmaType": "Coll[SByte]",
"renderedValue": "81dcd6114092f799d26d973c39d781b89e096f65ec6ff35058567805f6c9fd7e"
}
},
"spentTransactionId": "d2663fba4e6083b8f29882d66f9bcd200408a78f92fc3f66aa3901cba2e60a22",
"mainChain": true
},
{
"boxId": "b9d4a279ed765a4f3a4d13f988ad319c003fa2a4ad2a0811559e4b333a44aa24",
"transactionId": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"value": 1000000,
"index": 2,
"globalIndex": 13266622,
"creationHeight": 686847,
"settlementHeight": 686849,
"ergoTree": "0008cd0204a4a5d759ded454b749ef251564e2b57d464c7902c146e72a0cde3f4a72c16a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4a4a5d,6ae048,...)))}",
"address": "9eZ77otC8nncPcph58K4wDTuaebnRT5ahLMFdXFWtCQyqkvnkrC",
"assets": [
{
"tokenId": "81dcd6114092f799d26d973c39d781b89e096f65ec6ff35058567805f6c9fd7e",
"index": 0,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:58:58.497602",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2e5374616b6554657374205374616b65204b657920323032322d30322d31352032303a35383a35382e343937363032",
"sigmaType": "Coll[SByte]",
"renderedValue": "5374616b6554657374205374616b65204b657920323032322d30322d31352032303a35383a35382e343937363032"
},
"R5": {
"serializedValue": "0e2c5374616b65206b657920746f206265207573656420666f7220756e7374616b696e67205374616b6554657374",
"sigmaType": "Coll[SByte]",
"renderedValue": "5374616b65206b657920746f206265207573656420666f7220756e7374616b696e67205374616b6554657374"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "e19a5b2f4323560345d7143c838d763d64f1e66d12d8a04bab85436a1844c6c3",
"mainChain": true
},
{
"boxId": "5bd29e8bb923efa5399d83cc4f9466d88ae3e600482a44be82317dc913d08cfb",
"transactionId": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"value": 1000000,
"index": 3,
"globalIndex": 13266623,
"creationHeight": 686847,
"settlementHeight": 686849,
"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": "07eaf331eed7c499baf70014fcbbcd69c07a90658427bd469845187f244b8809",
"mainChain": true
},
{
"boxId": "e60d8094a3624491358861cfedffd1d951f8f99da5e4bd6c9174db7d4b4fd59f",
"transactionId": "0c9ebdb8e3747ca8063fa71b492b2dbb1889bf844cc47c9d4e87531d1f190c58",
"blockId": "d1810d337491233d63918a2e0a7797a61a0e846ce238b7b7684d2476d2183eb5",
"value": 1794546508,
"index": 4,
"globalIndex": 13266624,
"creationHeight": 686847,
"settlementHeight": 686849,
"ergoTree": "0008cd0204a4a5d759ded454b749ef251564e2b57d464c7902c146e72a0cde3f4a72c16a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4a4a5d,6ae048,...)))}",
"address": "9eZ77otC8nncPcph58K4wDTuaebnRT5ahLMFdXFWtCQyqkvnkrC",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 11:40:35.315203",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0dc1398d89e00fe1bed0a7964eb1169b6e4545389c6d6cb22444ca13b7aa0056",
"index": 1,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:18:41.488339",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "000e21f8e51ad4a3d3bdde9ac34d19eb2c24c92d2022260af6f99148cbc021d1",
"index": 2,
"amount": 1990496000,
"name": "StakeTest",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "97b58c64ae6ebc1f5efd8d2e2bbce1274ec2c5530d023ca7fe32eda7dcd92677",
"index": 3,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:33:07.731225",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e8c46216d87ffdb16d60676a32e893fa70059f41ead869a690ee711210e909ee",
"index": 4,
"amount": 1,
"name": "StakeTest Stake Key 2022-02-15 20:55:00.125298",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e19a5b2f4323560345d7143c838d763d64f1e66d12d8a04bab85436a1844c6c3",
"mainChain": true
}
],
"size": 2810,
"isUnconfirmed": false
}