Transaction
ID: f2d67501b7...0cb8
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.54786452 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.54576452 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 127,139
Total coins transferred: 0.54786452 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000459 ERG
Raw Transaction Data
{
"id": "f2d67501b7523f9784fbc9d98a74db7b4182af68abf815cb94c7cb1e99db0cb8",
"blockId": "39638ab972b03aa9c78ac587285290d426db3f46568ea7f4ec4353162fdd9d0e",
"inclusionHeight": 1638969,
"timestamp": 1761060876897,
"index": 18,
"globalIndex": 9662718,
"numConfirmations": 127139,
"inputs": [
{
"boxId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"value": 547864520,
"index": 0,
"spendingProof": "250d731d6160ca455c29acbbabb59e3e3185fb1e749536e8e861c0320a263d2994062158919931262514da43e04ab3adb0ef6b39d656de18",
"outputBlockId": "7ea8869185f5a8582df6ec7161344de3b3641aea9444af98a2332bf91153afb5",
"outputTransactionId": "569fbd4198bc45fac5ad2fed5da7be349751fabbec6d9cc1c3b0af700d9f6171",
"outputIndex": 2,
"outputGlobalIndex": 50974865,
"outputCreatedAt": 1637650,
"outputSettledAt": 1637651,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
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"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
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"name": null,
"decimals": null,
"type": null
},
{
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"name": null,
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"type": null
},
{
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},
{
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{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
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"name": null,
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},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 6,
"amount": 96951098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 7,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2c5d596d617aaafe16f3f58b2c562d046eda658f0243dc1119614160d92a4717",
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{
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{
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},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 11,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 12,
"amount": 4103,
"name": "ClaimRSN.tech",
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"type": "EIP-004"
},
{
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"index": 13,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
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"index": 14,
"amount": 8000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 15,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 16,
"amount": 99981000,
"name": "TGD",
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"type": "EIP-004"
},
{
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"index": 17,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
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"type": "EIP-004"
},
{
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"index": 18,
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"name": "🚬",
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"type": "EIP-004"
},
{
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},
{
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"index": 20,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "58981301cd0870e20e82769de060d8d8609764c3286e2f7622acc1b64fa2696e",
"transactionId": "f2d67501b7523f9784fbc9d98a74db7b4182af68abf815cb94c7cb1e99db0cb8",
"blockId": "39638ab972b03aa9c78ac587285290d426db3f46568ea7f4ec4353162fdd9d0e",
"value": 1000000,
"index": 0,
"globalIndex": 51021579,
"creationHeight": 1638968,
"settlementHeight": 1638969,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(120,126,-55,-76,32,-99,84,-85,-8,0,-17,-79,87,-2,45,73,101,-15,-76,20,122,62,-90,-82,73,121,-49,97,-128,79,-21,55)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: true\n9: Coll(110,-120,62,34,92,-1,-115,-118,20,38,11,120,54,124,-30,-65,43,126,-55,71,42,44,-47,70,27,-82,97,88,-18,65,-44,29)\n10: 1\n11: 0\n12: false\n13: true\n14: 10\n15: false\n16: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n17: 0\n18: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n19: 0\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 2\n26: 3\n27: 3\n28: 4\n29: 30\n30: 1\n31: false\n32: false\n33: false\n34: 2\n35: 0\n36: 5\n37: 1000000\n38: 1000000\n39: Coll(114,105,45,-9,48,-89,-65,56,-77,-42,-39,73,-83,-46,50,-109,111,-59,-50,-71,47,125,-110,-15,44,1,-77,0,90,-56,-120,-47)\n40: 1\n41: 2\n42: 30\n43: 1\n44: 1000000\n45: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R8[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = SELF.R6[Coll[Byte]].get\n val coll6 = SELF.tokens(placeholder[Int](2))._1\n val l7 = coll2(placeholder[Int](3))\n val l8 = coll2(placeholder[Int](4))\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = SELF.R9[Coll[Byte]].get\n sigmaProp((SELF.R4[Int].get == placeholder[Int](5)) && (if (l1 >= l3) {(\n val coll11 = OUTPUTS.filter({(box11: Box) => blake2b256(box11.propositionBytes) == coll4 })\n if (coll11.size == placeholder[Int](6)) {(\n val box12 = coll11(placeholder[Int](7))\n val tuple13 = box12.R5[(Coll[Byte], Coll[Byte])].get\n val coll14 = tuple13._1\n val coll15 = tuple13._2\n if (((blake2b256(coll14) == coll5) && (blake2b256(box12.propositionBytes) == coll4)) && if (coll15 == Coll[Byte]()) { placeholder[Boolean](8) } else {(\n val coll16 = CONTEXT.dataInputs.filter({(box16: Box) => ((blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](9)) && (box16.R6[Coll[Byte]].get == coll6)) && (box16.R5[Coll[Byte]].get == coll15) })\n if (coll16.size == placeholder[Int](10)) {(\n val box17 = coll16(placeholder[Int](11))\n val coll18 = box17.R9[Coll[Long]].get\n ((coll18.fold(placeholder[Boolean](12), {(tuple19: (Boolean, Long)) =>\n val bool21 = tuple19._1\n if (bool21) { bool21 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(longToByteArray(tuple19._2)).append(box17.R8[Coll[Byte]].get).append(box17.R4[Coll[Byte]].get).append(coll14)) == box17.R5[Coll[Byte]].get) { placeholder[Boolean](13) } else { bool21 } }\n }) && (box17.value >= l7)) && (box17.creationInfo._1.toLong < l3)) && (coll18.size.toLong <= placeholder[Long](14))\n )} else { placeholder[Boolean](15) }\n )}) {(\n val coll16 = SELF.R7[Coll[Coll[Byte]]].get\n val coll17 = CONTEXT.dataInputs.filter({(box17: Box) => ((((((blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](16)) && (box17.tokens.size > placeholder[Int](17))) && (box17.R4[Coll[Byte]].get == placeholder[Coll[Byte]](18))) && (box17.R5[Coll[Byte]].get == coll6)) && box17.R6[Boolean].get) && box17.R8[Boolean].get) && coll16.exists({(coll19: Coll[Byte]) => coll19 == box17.tokens(placeholder[Int](19))._1 }) })\n val coll18 = coll17.map({(box18: Box) => box18.tokens(placeholder[Int](20))._1 })\n (((((((((((box12.value >= l8) && (box12.tokens.filter({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll6 }).size == placeholder[Int](21))) && (box12.R4[Int].get == placeholder[Int](22))) && (box12.R6[Coll[Coll[Byte]]].get == coll16)) && (box12.R7[Coll[Long]].get(placeholder[Int](23)) == l3)) && (box12.R7[Coll[Long]].get(placeholder[Int](24)) == l8)) && (box12.R7[Coll[Long]].get(placeholder[Int](25)) == l7)) && (box12.R7[Coll[Long]].get(placeholder[Int](26)) == coll2(placeholder[Int](27)))) && (box12.R7[Coll[Long]].get(placeholder[Int](28)) >= l1 + placeholder[Long](29))) && (box12.R8[(Coll[Byte], Long)].get._2 == tuple9._2)) && (box12.R9[(Coll[Byte], Coll[Byte])].get == (tuple9._1, coll10))) && coll18.indices.forall({(i19: Int) => !coll18.slice(i19 + placeholder[Int](30), coll17.size).exists({(coll21: Coll[Byte]) => coll21 == coll18(i19) }) })\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if ((l1 < l3) && (OUTPUTS.size >= placeholder[Int](34))) {(\n val box11 = OUTPUTS(placeholder[Int](35))\n val l12 = l8 / placeholder[Long](36)\n val l13 = l8 - l12\n val bool14 = l13 < placeholder[Long](37)\n val l15 = if (bool14) { placeholder[Long](38) } else { l13 }\n (((((((((blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](39)) && (box11.value >= l15)) && (box11.tokens.filter({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll6 }).size == placeholder[Int](40))) && (box11.R4[Int].get == placeholder[Int](41))) && (box11.R5[Long].get >= l1 + placeholder[Long](42))) && (blake2b256(box11.R6[Coll[Byte]].get) == coll5)) && (box11.R7[Long].get == l15)) && (box11.R8[Long].get == l3)) && (box11.R9[Coll[Byte]].get == coll10)) && (OUTPUTS(placeholder[Int](43)).value >= if (bool14) { l8 - placeholder[Long](44) } else { l12 })\n )} else { placeholder[Boolean](45) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b728",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,20]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1104fc88c80180897a80897a1e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1638974,1000000,1000000,15]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
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