Transaction
ID: dd55ef9abd...7d36
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.813661432 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0035 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.809161432 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 293,852
Total coins transferred: 0.813661432 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000751 ERG
Raw Transaction Data
{
"id": "dd55ef9abd91c44a4a55823106905883d134bf35087c26f2fd9bef7fc14c7d36",
"blockId": "9672e6b65cc4308139950c05c989d6007746fa8a88532345446e29f16182f334",
"inclusionHeight": 1470634,
"timestamp": 1740674373197,
"index": 2,
"globalIndex": 8644055,
"numConfirmations": 293852,
"inputs": [
{
"boxId": "fda3b3531d0a54cfb0f1aad6d1ca5c2f919bb28b48bfb820f2767d1ecf338db4",
"value": 813661432,
"index": 0,
"spendingProof": "c64fe35339e1199d674fb4b1fa8dfed1bd2708869c32bbbc83eeb908db24b1ca17d1025405fadd86c0fe61209b1394069d4e3a2040c67db4",
"outputBlockId": "c7ea5e82635223ab6d86be4ee9b7c7549d5fc57c128ed912acb84ae71fbf6b1d",
"outputTransactionId": "d12bf46e9a03c0bf68e2fa89be3c4ee625302a1366022a3e8172dc6e35afa8af",
"outputIndex": 2,
"outputGlobalIndex": 46532746,
"outputCreatedAt": 1470594,
"outputSettledAt": 1470596,
"ergoTree": "0008cd02dccf47f9f484b88ee32bb953c10cbcde1d39c2940871492ca1516f16c4d97235",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dccf47,1b736e,...)))}",
"address": "9gCJoV2EkkbPuaQfojK6PoUzG1jAC2VSeF8ag1zn56be2D5Q5RC",
"assets": [
{
"tokenId": "5585625eedd06ea7da620a3fcd7210b91df0adfce0155e723cebd7adaefc49cb",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
"index": 1,
"amount": 2,
"name": "ErgoHack VIII DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 2,
"amount": 10020000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7ab746c645611926ae22eea2795341b52bdbedc29a9a4f664a22093db29bc552",
"index": 3,
"amount": 1,
"name": "Good Things DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9e2811fe5f49e1828681e971476220b49fb8a89c4a62d1045474674a14a53caa",
"transactionId": "dd55ef9abd91c44a4a55823106905883d134bf35087c26f2fd9bef7fc14c7d36",
"blockId": "9672e6b65cc4308139950c05c989d6007746fa8a88532345446e29f16182f334",
"value": 3500000,
"index": 0,
"globalIndex": 46533324,
"creationHeight": 1470630,
"settlementHeight": 1470634,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n6: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n7: 0\n8: 8\n9: 1\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 8\n16: 8\n17: 8\n18: 8\n19: 2\n20: 1\n21: 8\n22: 16\n23: 0\n24: 0\n25: 0\n26: 0\n27: Coll(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)\n28: 0\n29: 0\n30: 6\n31: 38\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 1\n38: 1000000\n39: 2\n40: 0\n41: 6\n42: 37\n43: 6\n44: 37\n45: 5\n46: 6\n47: 37\n48: 1\n49: -3\n50: 2\n51: 0\n52: 0\n53: true",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n sigmaProp(if (box1.id == SELF.id) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box2.value >= SELF.value - placeholder[Long](2), box2.tokens == SELF.tokens, box2.propositionBytes == SELF.R4[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box2 = CONTEXT.dataInputs(placeholder[Int](4))\n val coll3 = box1.tokens\n val coll4 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), getVar[Coll[Byte]](0.toByte).get)\n val coll5 = SELF.R5[Coll[Byte]].get\n val coll6 = coll5.slice(placeholder[Int](7), coll5.size / placeholder[Int](8) - placeholder[Int](9)).indices\n val avlTree7 = box1.R4[Coll[AvlTree]].get(placeholder[Int](10))\n val coll8 = SELF.tokens(placeholder[Int](11))._1\n val coll9 = Coll[(Coll[Byte], Coll[Byte])]((coll8, coll5))\n val tuple10 = coll9(placeholder[Int](12))\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = coll6.map({(i12: Int) =>\n val i14 = i12 * placeholder[Int](13) + placeholder[Int](14)\n byteArrayToLong(avlTree7.get(tuple10._1, coll11).get.slice(i14, i14 + placeholder[Int](15)))\n })\n val coll13 = coll6.map({(i13: Int) =>\n val i15 = i13 * placeholder[Int](16) + placeholder[Int](17)\n byteArrayToLong(tuple10._2.slice(i15, i15 + placeholder[Int](18)))\n })\n val box14 = OUTPUTS(placeholder[Int](19))\n val coll15 = box14.tokens\n val coll16 = coll4(placeholder[Int](20)).get\n val bool17 = byteArrayToLong(coll5.slice(placeholder[Int](21), placeholder[Int](22))) > placeholder[Long](23)\n val avlTree18 = OUTPUTS(placeholder[Int](24)).R4[Coll[AvlTree]].get(placeholder[Int](25))\n allOf(Coll[Boolean](box2.tokens(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll3(placeholder[Int](28))._1 == coll4(placeholder[Int](29)).get.slice(placeholder[Int](30), placeholder[Int](31)), coll12(placeholder[Int](32)) - coll13(placeholder[Int](33)) == coll15.fold(placeholder[Long](34), {(tuple19: (Long, (Coll[Byte], Long))) =>\n val tuple21 = tuple19._2\n val l22 = tuple19._1\n if (tuple21._1 == coll3(placeholder[Int](35))._1) { l22 + tuple21._2 } else { l22 }\n }), coll12(placeholder[Int](36)) - coll13(placeholder[Int](37)) == box14.value - placeholder[Long](38), coll3.slice(placeholder[Int](39), coll3.size).forall({(tuple19: (Coll[Byte], Long)) =>\n val coll21 = tuple19._1\n val i22 = coll16.slice(placeholder[Int](40), coll16.size - placeholder[Int](41) / placeholder[Int](42)).indices.map({(i22: Int) => coll16.slice(placeholder[Int](43) + placeholder[Int](44) * i22 + placeholder[Int](45), placeholder[Int](46) + placeholder[Int](47) * i22 + placeholder[Int](48)) }).indexOf(coll21, placeholder[Int](49)) + placeholder[Int](50)\n coll15.fold(placeholder[Long](51), {(tuple23: (Long, (Coll[Byte], Long))) =>\n val tuple25 = tuple23._2\n val l26 = tuple23._1\n if (tuple25._1 == coll21) { l26 + tuple25._2 } else { l26 }\n }) == coll12(i22) - coll13(i22)\n }), if (bool17) { coll15(placeholder[Int](52))._1 == coll8 } else { placeholder[Boolean](53) }, if (bool17) { avlTree7.update(coll9, coll11).get.digest == avlTree18.digest } else { avlTree7.remove(Coll[Coll[Byte]](coll8), getVar[Coll[Byte]](2.toByte).get).get.digest == avlTree18.digest }, box14.propositionBytes == SELF.R4[Coll[Byte]].get))\n )})\n}",
"address": "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",
"assets": [
{
"tokenId": "5585625eedd06ea7da620a3fcd7210b91df0adfce0155e723cebd7adaefc49cb",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd02dccf47f9f484b88ee32bb953c10cbcde1d39c2940871492ca1516f16c4d97235",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02dccf47f9f484b88ee32bb953c10cbcde1d39c2940871492ca1516f16c4d97235"
},
"R5": {
"serializedValue": "0e18000001930d71216700000000000000000000000000000000",
"sigmaType": "Coll[SByte]",
"renderedValue": "000001930d71216700000000000000000000000000000000"
}
},
"spentTransactionId": "1a0b8ca87c47963a988696d5b84a618e907a3a27b6a3f42f51d6fc8ed89e8ca4",
"mainChain": true
},
{
"boxId": "14d552d518f09f8802e4b25de9bc4d673bbfd91ae2f045beeba8925ef842575f",
"transactionId": "dd55ef9abd91c44a4a55823106905883d134bf35087c26f2fd9bef7fc14c7d36",
"blockId": "9672e6b65cc4308139950c05c989d6007746fa8a88532345446e29f16182f334",
"value": 1000000,
"index": 1,
"globalIndex": 46533325,
"creationHeight": 1470630,
"settlementHeight": 1470634,
"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": "8c182d1fb01b72c8c7c1563ec5a8358ca5b3bbeec60fa4e9550cb8d898e84fb9",
"mainChain": true
},
{
"boxId": "f0e5979d776601f0226bb058018cd9125f3bdda9a959299d5d5259b7c9d5571b",
"transactionId": "dd55ef9abd91c44a4a55823106905883d134bf35087c26f2fd9bef7fc14c7d36",
"blockId": "9672e6b65cc4308139950c05c989d6007746fa8a88532345446e29f16182f334",
"value": 809161432,
"index": 2,
"globalIndex": 46533326,
"creationHeight": 1470630,
"settlementHeight": 1470634,
"ergoTree": "0008cd02dccf47f9f484b88ee32bb953c10cbcde1d39c2940871492ca1516f16c4d97235",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dccf47,1b736e,...)))}",
"address": "9gCJoV2EkkbPuaQfojK6PoUzG1jAC2VSeF8ag1zn56be2D5Q5RC",
"assets": [
{
"tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
"index": 0,
"amount": 2,
"name": "ErgoHack VIII DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10019000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7ab746c645611926ae22eea2795341b52bdbedc29a9a4f664a22093db29bc552",
"index": 2,
"amount": 1,
"name": "Good Things DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "23b448676d2f87d467c882c07f21100deaea42fd2ab4debf07201acd5ec1c986",
"mainChain": true
}
],
"size": 1332,
"isUnconfirmed": false
}