Transaction
ID: d61a5171e0...33ca
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
53.94 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.97 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.03 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
52.93 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 130,292
Total coins transferred: 53.94 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000229 ERG
Raw Transaction Data
{
"id": "d61a5171e08a335b7e2c0f56e6bcf2016ed8b79a358e7ca8311edd68b7d133ca",
"blockId": "98e2d29fb5bf693989e3903ada067926572ea834e667aee05b828b9dd84d5362",
"inclusionHeight": 1633002,
"timestamp": 1760335734604,
"index": 1,
"globalIndex": 9616844,
"numConfirmations": 130292,
"inputs": [
{
"boxId": "f1e1ec7755efa7058a34c7a2ae49b2e219e7c230c2ee0abeef8ff76c9f0ef455",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fd08f3a87a3df5d7cc3eb313db33ced1e86be90810b69097fa1a28e2a6fbc28a",
"outputTransactionId": "b259efaf69f2f2d2f669a37123c2598bf52e605965a97e3734c46bec3114d88b",
"outputIndex": 0,
"outputGlobalIndex": 50827544,
"outputCreatedAt": 1632955,
"outputSettledAt": 1632957,
"ergoTree": "19990516040205f02e05f02e05c09a0c04000400040004020408040604020404040208cd02593abf7a55bd30ecb0d9cc89284f577db9c673bd6dba3642d5ec2eba1b131a0204000400040401000100040404040100d815d601c2a7d60293b1b5a4d901026393c2720272017300d603afa5d901036394c272037201d604e4c6a70804d605e4c6a70407d606cd7205d607e4c6a7074059d6088c720702d6098c720802d60a8c720801d60b9d9c72099591720a7301720a73027303d60ce4c6a7064d0ed60d8c720c01d60e8c720c02d60fd9010f63d802d611db6308720fd612b272117304009683030191b172117305938c721201720d928c721202720ed610e4c6a7054d0ed6118c721002d6128c721001d6139a8cc7a7018c720701d614c6a70907d615b2a5730600eb02ea02d17202eb02eb02ea02d196830201720393720473077206d19592b1a57308d809d616b2a5730900d617c672160407d618c67216054d0ed619c67216064d0ed61ac67216074059d61bc672160804d61ce6c672160907d61db2a5730a00d61eb2a5730b009596830601e67217e67218e67219e6721ae6721b721c96830701937204730caedb6308a7d9011f4d0e96830201938c721f01720d928c721f02720e9683020192c1721d997209720b93c2721dd072069683020192c1721e720b93c2721ed0730dda720f01b2a5730e00dad9011f639593b17212730f92c1721f9ac1a77211aedb6308721fd901214d0e96830201938c7221017212928c72210272110172169683070193c27216720193e47217720593e47218721093e47219720c93e4721a720793e4721b7310721c73117312ea02d1968303017203937204731391a37213720695e67214ea02d19683060172027203937204731490a37213da720f01721593c27215d07206cde47214d17315",
"ergoTreeConstants": "0: 1\n1: 3000\n2: 3000\n3: 100000\n4: 0\n5: 0\n6: 0\n7: 1\n8: 4\n9: 3\n10: 1\n11: 2\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n14: 0\n15: 0\n16: 2\n17: false\n18: false\n19: 2\n20: 2\n21: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 }).size == placeholder[Int](0)\n val bool3 = OUTPUTS.forall({(box3: Box) => box3.propositionBytes != coll1 })\n val i4 = SELF.R8[Int].get\n val ge5 = SELF.R4[GroupElement].get\n val prop6 = proveDlog(ge5)\n val tuple7 = SELF.R7[(Int, (Long, Long))].get\n val tuple8 = tuple7._2\n val l9 = tuple8._2\n val l10 = tuple8._1\n val l11 = l9 * if (l10 > placeholder[Long](1)) { l10 } else { placeholder[Long](2) } / placeholder[Long](3)\n val tuple12 = SELF.R6[(Coll[Byte], Long)].get\n val coll13 = tuple12._1\n val l14 = tuple12._2\n val func15 = {(box15: Box) =>\n val coll17 = box15.tokens\n val tuple18 = coll17(placeholder[Int](4))\n allOf(Coll[Boolean](coll17.size > placeholder[Int](5), tuple18._1 == coll13, tuple18._2 >= l14))\n }\n val tuple16 = SELF.R5[(Coll[Byte], Long)].get\n val l17 = tuple16._2\n val coll18 = tuple16._1\n val i19 = SELF.creationInfo._1 + tuple7._1\n val opt20 = SELF.R9[GroupElement]\n val box21 = OUTPUTS(placeholder[Int](6))\n sigmaProp(bool2) && sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](7)))) && prop6 || sigmaProp(if (OUTPUTS.size >= placeholder[Int](8)) {(\n val box22 = OUTPUTS(placeholder[Int](9))\n val opt23 = box22.R4[GroupElement]\n val opt24 = box22.R5[(Coll[Byte], Long)]\n val opt25 = box22.R6[(Coll[Byte], Long)]\n val opt26 = box22.R7[(Int, (Long, Long))]\n val opt27 = box22.R8[Int]\n val bool28 = box22.R9[GroupElement].isDefined\n val box29 = OUTPUTS(placeholder[Int](10))\n val box30 = OUTPUTS(placeholder[Int](11))\n if (allOf(Coll[Boolean](opt23.isDefined, opt24.isDefined, opt25.isDefined, opt26.isDefined, opt27.isDefined, bool28))) { allOf(Coll[Boolean](i4 == placeholder[Int](12), SELF.tokens.exists({(tuple31: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple31._1 == coll13, tuple31._2 >= l14)) }), allOf(Coll[Boolean](box29.value >= l9 - l11, box29.propositionBytes == prop6.propBytes)), allOf(Coll[Boolean](box30.value >= l11, box30.propositionBytes == placeholder[SigmaProp](13).propBytes)), func15(OUTPUTS(placeholder[Int](14))), {(box31: Box) => if (coll18.size == placeholder[Int](15)) { box31.value >= SELF.value + l17 } else { box31.tokens.exists({(tuple33: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple33._1 == coll18, tuple33._2 >= l17)) }) } }(box22), allOf(Coll[Boolean](box22.propositionBytes == coll1, opt23.get == ge5, opt24.get == tuple16, opt25.get == tuple12, opt26.get == tuple7, opt27.get == placeholder[Int](16), bool28)))) } else { placeholder[Boolean](17) }\n )} else { placeholder[Boolean](18) }) || sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](19), HEIGHT > i19))) && prop6 || if (opt20.isDefined) {\n sigmaProp(\n allOf(Coll[Boolean](bool2, bool3, i4 == placeholder[Int](20), HEIGHT <= i19, func15(box21), box21.propositionBytes == prop6.propBytes))\n ) && proveDlog(opt20.get)\n } else { sigmaProp(placeholder[Boolean](21)) }\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Test Horse NFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e206c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962cc09a0c",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c,100000]"
},
"R6": {
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"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[477f169f3797e04077dff6ab2712669c0d191c2baff7ff73838484e334f2687b,1]"
},
"R8": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R7": {
"serializedValue": "405964f02e80a8d6b907",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "07026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
"sigmaType": "SGroupElement",
"renderedValue": "026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4"
}
}
},
{
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"index": 1,
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"outputBlockId": "13038eba55c9963057064bc7a803c0a0e029b9ebffe96e35be654eb8fbfd9c85",
"outputTransactionId": "d26ef8c8cc25e79fb84dc87b55370d2652d89c16b30bc9d690fe140b4605867f",
"outputIndex": 2,
"outputGlobalIndex": 50808362,
"outputCreatedAt": 1632407,
"outputSettledAt": 1632409,
"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
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"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 }).size == placeholder[Int](0)\n val bool3 = OUTPUTS.forall({(box3: Box) => box3.propositionBytes != coll1 })\n val i4 = SELF.R8[Int].get\n val ge5 = SELF.R4[GroupElement].get\n val prop6 = proveDlog(ge5)\n val tuple7 = SELF.R7[(Int, (Long, Long))].get\n val tuple8 = tuple7._2\n val l9 = tuple8._2\n val l10 = tuple8._1\n val l11 = l9 * if (l10 > placeholder[Long](1)) { l10 } else { placeholder[Long](2) } / placeholder[Long](3)\n val tuple12 = SELF.R6[(Coll[Byte], Long)].get\n val coll13 = tuple12._1\n val l14 = tuple12._2\n val func15 = {(box15: Box) =>\n val coll17 = box15.tokens\n val tuple18 = coll17(placeholder[Int](4))\n allOf(Coll[Boolean](coll17.size > placeholder[Int](5), tuple18._1 == coll13, tuple18._2 >= l14))\n }\n val tuple16 = SELF.R5[(Coll[Byte], Long)].get\n val l17 = tuple16._2\n val coll18 = tuple16._1\n val i19 = SELF.creationInfo._1 + tuple7._1\n val opt20 = SELF.R9[GroupElement]\n val box21 = OUTPUTS(placeholder[Int](6))\n sigmaProp(bool2) && sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](7)))) && prop6 || sigmaProp(if (OUTPUTS.size >= placeholder[Int](8)) {(\n val box22 = OUTPUTS(placeholder[Int](9))\n val opt23 = box22.R4[GroupElement]\n val opt24 = box22.R5[(Coll[Byte], Long)]\n val opt25 = box22.R6[(Coll[Byte], Long)]\n val opt26 = box22.R7[(Int, (Long, Long))]\n val opt27 = box22.R8[Int]\n val bool28 = box22.R9[GroupElement].isDefined\n val box29 = OUTPUTS(placeholder[Int](10))\n val box30 = OUTPUTS(placeholder[Int](11))\n if (allOf(Coll[Boolean](opt23.isDefined, opt24.isDefined, opt25.isDefined, opt26.isDefined, opt27.isDefined, bool28))) { allOf(Coll[Boolean](i4 == placeholder[Int](12), SELF.tokens.exists({(tuple31: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple31._1 == coll13, tuple31._2 >= l14)) }), allOf(Coll[Boolean](box29.value >= l9 - l11, box29.propositionBytes == prop6.propBytes)), allOf(Coll[Boolean](box30.value >= l11, box30.propositionBytes == placeholder[SigmaProp](13).propBytes)), func15(OUTPUTS(placeholder[Int](14))), {(box31: Box) => if (coll18.size == placeholder[Int](15)) { box31.value >= SELF.value + l17 } else { box31.tokens.exists({(tuple33: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple33._1 == coll18, tuple33._2 >= l17)) }) } }(box22), allOf(Coll[Boolean](box22.propositionBytes == coll1, opt23.get == ge5, opt24.get == tuple16, opt25.get == tuple12, opt26.get == tuple7, opt27.get == placeholder[Int](16), bool28)))) } else { placeholder[Boolean](17) }\n )} else { placeholder[Boolean](18) }) || sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](19), HEIGHT > i19))) && prop6 || if (opt20.isDefined) {\n sigmaProp(\n allOf(Coll[Boolean](bool2, bool3, i4 == placeholder[Int](20), HEIGHT <= i19, func15(box21), box21.propositionBytes == prop6.propBytes))\n ) && proveDlog(opt20.get)\n } else { sigmaProp(placeholder[Boolean](21)) }\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "MEW",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c,100000]"
},
"R6": {
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"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[477f169f3797e04077dff6ab2712669c0d191c2baff7ff73838484e334f2687b,1]"
},
"R8": {
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"sigmaType": "SInt",
"renderedValue": "2"
},
"R7": {
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"sigmaType": null,
"renderedValue": null
},
"R9": {
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"sigmaType": "SGroupElement",
"renderedValue": "033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0"
},
"R4": {
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"sigmaType": "SGroupElement",
"renderedValue": "026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4"
}
},
"spentTransactionId": "7ee3bd11b4158822e3f2602bb1bb6caaacfe3f5bcd8d2f20731c3269ca97eb5a",
"mainChain": true
},
{
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"transactionId": "d61a5171e08a335b7e2c0f56e6bcf2016ed8b79a358e7ca8311edd68b7d133ca",
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"index": 4,
"globalIndex": 50828763,
"creationHeight": 1633000,
"settlementHeight": 1633002,
"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)}",
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"assets": [],
"additionalRegisters": {},
"spentTransactionId": "6d07690d0898db6b55d45eaa5714449801dde799ab3a25c20a1c28cfa44046b6",
"mainChain": true
},
{
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"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
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{
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"type": "EIP-004"
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