Transaction
ID: cb9eea959a...aefa
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
11.35 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.11 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
11.24 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 1,133,686
Total coins transferred: 11.35 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000395 ERG
Raw Transaction Data
{
"id": "cb9eea959ad8a9fec092d30c5d7fadb7284a48f00f8e35b9d4fa699bd23daefa",
"blockId": "79f1b2037e999be88252c664810c23c0095995321ac5e7ce73ba254ef225c557",
"inclusionHeight": 637711,
"timestamp": 1639053881064,
"index": 8,
"globalIndex": 2269460,
"numConfirmations": 1133686,
"inputs": [
{
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"value": 11348766118,
"index": 0,
"spendingProof": "600deb5a0670268c12a3916f06072bec80607ab12130aaef35692b0da361ceadd3924501c66e22c7fc9080ea2ac96f1590fd3a4fcd4df243",
"outputBlockId": "6ee9ad947c3e2913b5cbce31ded47403f5d9aaf4ed32914c655249d6a69b19c8",
"outputTransactionId": "3ca2f6fbac14b4ef8a4f24444fd285544e91f932042e88fc16d624609162ac48",
"outputIndex": 1,
"outputGlobalIndex": 10672838,
"outputCreatedAt": 637705,
"outputSettledAt": 637709,
"ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
"address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
"assets": [
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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d387df3e6892fae36a650cd4232f8c3e45c2fa4e7b1c20077e7bf7ba0a0d9b32",
"transactionId": "cb9eea959ad8a9fec092d30c5d7fadb7284a48f00f8e35b9d4fa699bd23daefa",
"blockId": "79f1b2037e999be88252c664810c23c0095995321ac5e7ce73ba254ef225c557",
"value": 110000000,
"index": 0,
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"creationHeight": 637709,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,8,-51,2,-114,-31,1,-100,-88,53,55,-55,91,-65,-77,-45,90,-6,-60,-63,103,-112,-45,-15,89,123,-41,91,103,-28,82,-76,-16,-46,-53,99)\n2: Coll(16,47,4,0,4,2,4,2,4,0,4,2,4,0,4,0,4,4,4,2,4,2,5,0,4,2,4,0,5,1,4,2,4,0,5,-48,15,4,6,4,4,4,2,4,0,4,0,5,-48,15,5,0,4,8,4,6,4,0,4,0,4,0,4,4,4,0,4,2,4,0,4,2,4,0,4,0,5,4,5,0,4,0,4,8,4,10,4,4,4,0,4,0,5,0,4,0,14,32,-98,-68)\n3: 0\n4: 0\n5: 0\n6: 0\n7: 111000000000\n8: 1\n9: 10000000000\n10: 0\n11: 1639314000000\n12: 0\n13: 333000000000\n14: true\n15: false\n16: 1\n17: Coll()\n18: 3\n19: 1\n20: Coll(0,8,-51,3,-81,100,88,73,46,119,-121,23,-91,46,70,-126,-118,17,109,55,-80,24,21,61,96,-126,-1,118,-61,86,-51,-71,-7,-34,-33,50)\n21: 1\n22: 100000000\n23: 0\n24: 2000000\n25: 2\n26: 1639053308766",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.propositionBytes\n val coll3 = placeholder[Coll[Byte]](1)\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll2 == placeholder[Coll[Byte]](2)) && (box1.tokens.size > placeholder[Int](3))) && (\n box1.R4[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](4)).id) == coll3\n )\n ) && (box1.R5[Coll[Byte]].getOrElse(INPUTS(placeholder[Int](5)).id) == coll3)\n ) && (box1.R6[Coll[Long]].get(placeholder[Int](6)) == placeholder[Long](7))\n ) && (box1.R6[Coll[Long]].get(placeholder[Int](8)) == placeholder[Long](9))\n ) && (box1.R7[Long].getOrElse(placeholder[Long](10)) == placeholder[Long](11))\n ) && (box1.R8[Long].getOrElse(placeholder[Long](12)) == placeholder[Long](13))\n ) && (placeholder[Boolean](14) || (placeholder[Boolean](15) && (box1.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17))))\n ) && (OUTPUTS.size == placeholder[Int](18))\n ) && (OUTPUTS(placeholder[Int](19)).propositionBytes == placeholder[Coll[Byte]](20))\n ) && (OUTPUTS(placeholder[Int](21)).value == placeholder[Long](22))\n ) || (\n (\n (box1.value >= INPUTS.fold(placeholder[Long](23), {(tuple4: (Long, Box)) => tuple4._1 + tuple4._2.value }) - placeholder[Long](24)) && (\n coll2 == coll3\n )\n ) && (OUTPUTS.size == placeholder[Int](25))\n )\n ) && (HEIGHT.toLong < placeholder[Long](26))\n )\n}",
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
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{
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"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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}
],
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}