Transaction
ID: 984dc0bd5e...9f9a
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
434.79 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
434.78 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 764,775
Total coins transferred: 434.79 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000796 ERG
Raw Transaction Data
{
"id": "984dc0bd5e91065596ef9a0e71e77e11665d52721476e0c61a4cb1dacd0e9f9a",
"blockId": "b77041b0eb47ef644e8628b987cf3880acfba40a6ce3a4a3e3da2da8b1d66b7a",
"inclusionHeight": 1011530,
"timestamp": 1685039351190,
"index": 12,
"globalIndex": 5265331,
"numConfirmations": 764775,
"inputs": [
{
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"value": 434785484085,
"index": 0,
"spendingProof": "93ba886155db0383d96d2c7607c313b52db40c48afc067b425cac1c0d2ee2781e71f7ab11d5a5c41a088e7dbf9111f894eac8fb107aefd7d",
"outputBlockId": "b77041b0eb47ef644e8628b987cf3880acfba40a6ce3a4a3e3da2da8b1d66b7a",
"outputTransactionId": "7d9fe839b2a91feca2120d38bde498a09ef2ab0b3c021d7f7c561e1096d838a1",
"outputIndex": 1,
"outputGlobalIndex": 29438082,
"outputCreatedAt": 1011528,
"outputSettledAt": 1011530,
"ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
"address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
"assets": [
{
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"type": "EIP-004"
},
{
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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": "4912ed783cd464d4b0fcad67c0feaa6cd82a23904884d2e68ebd5ef4272152a6",
"transactionId": "984dc0bd5e91065596ef9a0e71e77e11665d52721476e0c61a4cb1dacd0e9f9a",
"blockId": "b77041b0eb47ef644e8628b987cf3880acfba40a6ce3a4a3e3da2da8b1d66b7a",
"value": 400000,
"index": 0,
"globalIndex": 29438093,
"creationHeight": 1011528,
"settlementHeight": 1011530,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\n2: 1000000000000000000\n3: 14186\n4: 990\n5: 1000\n6: SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))\n7: 2\n8: 4\n9: 1\n10: 0\n11: false\n12: 171062\n13: 999692498507651805\n14: 2\n15: 3\n16: CBigInt(1)\n17: 0\n18: Coll(87,3,-91,-71,85,-60,-112,47,22,82,21,-11,-50,20,38,-127,107,76,109,-54,83,0,-49,-82,53,-56,-93,86,73,40,113,84)\n19: Coll(0,8,-51,2,80,49,-54,5,107,-113,-98,-111,10,-104,121,5,-99,94,-33,39,-89,50,34,-123,-125,42,96,-82,-39,101,93,90,1,20,-90,3)\n20: 463581490\n21: false\n22: true\n23: 1400\n24: 78\n25: CBigInt(0)\n26: 2\n27: 1\n28: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n29: true\n30: 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)\n31: 0\n32: 0\n33: 2000000\n34: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val l3 = placeholder[Long](2)\n val l4 = placeholder[Long](3) * placeholder[Int](4).toLong\n val i5 = placeholder[Int](5)\n placeholder[SigmaProp](6) || sigmaProp(if ((INPUTS.size >= placeholder[Int](7)) && (box1.tokens.size == placeholder[Int](8))) {(\n val coll6 = box1.tokens\n val box7 = OUTPUTS(placeholder[Int](9))\n val coll8 = box7.tokens\n val tuple9 = coll8(placeholder[Int](10))\n val l10 = tuple9._2\n val bi11 = if (placeholder[Boolean](11)) { l10 - placeholder[Long](12).toBigInt * l3.toBigInt / placeholder[Long](13).toBigInt } else { l10.toBigInt }\n val tuple12 = coll6(placeholder[Int](14))\n val bi13 = tuple12._2.toBigInt\n val bi14 = coll6(placeholder[Int](15))._2.toBigInt\n val bi15 = bi11 + placeholder[BigInt](16)\n (((((((coll6(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18)) && (box7.propositionBytes == placeholder[Coll[Byte]](19))) && (tuple9._1 == coll2)) && (l10 >= placeholder[Long](20))) && (box7.value >= SELF.value)) && if (placeholder[Boolean](21)) { placeholder[Boolean](22) } else {(\n val bi16 = placeholder[Long](23).toBigInt - bi11 * placeholder[Long](24).toBigInt / l3.toBigInt\n if ((bi16 > placeholder[BigInt](25)) && (coll8.size >= placeholder[Int](26))) {(\n val tuple17 = coll8(placeholder[Int](27))\n (tuple17._1 == placeholder[Coll[Byte]](28)) && (tuple17._2.toBigInt >= bi16)\n )} else { placeholder[Boolean](29) }\n )}) && if (tuple12._1 == coll2) { bi13 * l4.toBigInt <= bi15 * bi14 * i5.toBigInt + l4.toBigInt } else { bi14 * l4.toBigInt <= bi15 * bi13 * i5.toBigInt + l4.toBigInt }) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](30)) { box16.value } else { placeholder[Long](31) } }).fold(placeholder[Long](32), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](33))\n )} else { placeholder[Boolean](34) })\n}",
"address": "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",
"assets": [
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