Transaction
ID: 699c83ffe3...c3e3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
176.76 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
49.97 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
200.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
26.72 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 684,581
Total coins transferred: 226.73 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000729 ERG
Raw Transaction Data
{
"id": "699c83ffe35ae036e4d35ba65cacf88f42ebc9c960cd9bd17b0fcbc5c0d7c3e3",
"blockId": "5d061a1a8c5923ea5f9989dbd64355cb022c1fc22a125ea73d435f6a1f5e2e0d",
"inclusionHeight": 1080929,
"timestamp": 1693481756318,
"index": 2,
"globalIndex": 5753146,
"numConfirmations": 684581,
"inputs": [
{
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"index": 0,
"spendingProof": "3e4aa5ff5a8c249f2807de05732aac308405594bd97ad19c51f9dd45c6a1eee1e72213fd160aafd15095d6d6b6ebead8d78d265b13a1a86e",
"outputBlockId": "afa7df8cb1f5aea52d9b25ed46d7d1b4ead0eef0b6829b2f58fefc863ca46309",
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"outputIndex": 1,
"outputGlobalIndex": 32222286,
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"ergoTree": "0008cd025c84da8cd06b78afe056d77ec45940a094dc358cbce2efd066b7ddece0575688",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5c84da,1188c6,...)))}",
"address": "9fDone1TEN3Nw8VvGN8aeiHwU3dQ9jAiuUkkXJngUGH19UMa4zd",
"assets": [],
"additionalRegisters": {}
},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5c84da,1188c6,...)))}",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "1789eab1121ccf81aebabd85022fdff11edd05317c7db342a8d591a7c4d5f650",
"transactionId": "699c83ffe35ae036e4d35ba65cacf88f42ebc9c960cd9bd17b0fcbc5c0d7c3e3",
"blockId": "5d061a1a8c5923ea5f9989dbd64355cb022c1fc22a125ea73d435f6a1f5e2e0d",
"value": 200007260000,
"index": 0,
"globalIndex": 32223179,
"creationHeight": 1080927,
"settlementHeight": 1080929,
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(5c84da,1188c6,...)))\n1: 0\n2: 200000000000\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(71,-42,-113,-118,64,7,-104,35,11,-48,98,14,-83,65,-85,96,-115,-1,-83,41,-47,4,-68,-3,-24,-40,-94,60,25,-4,97,-9)\n9: Coll(-24,-78,7,69,-18,-99,24,-127,115,5,-13,46,-78,16,21,-125,26,72,-16,45,64,-104,13,-26,-24,73,-8,-122,-36,-89,-8,7)\n10: 65254485119\n11: 9194770273734\n12: 100000000000000000\n13: 2\n14: 997\n15: CBigInt(1)\n16: 1000\n17: 200000000000\n18: 997\n19: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n20: 0\n21: 0\n22: 2000000\n23: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val l3 = placeholder[Long](2)\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](5))\n val tuple6 = box5.tokens(placeholder[Int](6))\n val bi7 = tuple6._2.toBigInt\n ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) })\n}",
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"assets": [],
"additionalRegisters": {},
"spentTransactionId": "024c02f730587313b27704af284fcd96fe6a42f02222067105e88b159e335e9d",
"mainChain": true
},
{
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"index": 1,
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"ergoTree": "0008cd025c84da8cd06b78afe056d77ec45940a094dc358cbce2efd066b7ddece0575688",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5c84da,1188c6,...)))}",
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"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": "bd43fc6220b39e552c8c3a93904ef9ba71b0e089ee485cfd4dfcb50f518fd251",
"mainChain": true
}
],
"size": 2743,
"isUnconfirmed": false
}