Transaction
ID: d79d92af7f...1a1b
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
12.92 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.22 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.042667787 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
8 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
12.76 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
293.15 ERG
Tokens:
40,778.45
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
300.46 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
28.63 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,080,934
Total coins transferred: 329.09 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000605 ERG
Raw Transaction Data
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},
{
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"name": "FruitySaguaro #088",
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},
{
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},
{
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{
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},
{
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"amount": 1,
"name": "$COMET Beggar White",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"value": 293148305060,
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"ergoTree": "0008cd0234897ca4b13706872c99ae9a33901d5b4658339b45d7c59367ea5acb193b23ca",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(34897c,8a7199,...)))}",
"address": "9evCWAaTVfd3a6QnZcr4oSCES9CcyDxDmeSoovt5n79W69qJaLW",
"assets": [
{
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"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "d79d92af7f7f95228295fe58dd7b0c0a6b00875a0882953fd5c8daece8c71a1b",
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"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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"mainChain": true
},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(34897c,8a7199,...)))}",
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