Transaction
ID: 0a120acbc7...1e7b
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
17.45 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:
17.44 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 324,687
Total coins transferred: 17.45 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000045 ERG
Raw Transaction Data
{
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"inclusionHeight": 1438350,
"timestamp": 1736764848041,
"index": 6,
"globalIndex": 8427508,
"numConfirmations": 324687,
"inputs": [
{
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"outputIndex": 0,
"outputGlobalIndex": 45547837,
"outputCreatedAt": 1437891,
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"ergoTree": "0008cd025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5b1574,267d10,...)))}",
"address": "9fDB8QW4AgFJvRjfesjAKU5bLRjAohe5BGXgnwfHAAeccKyEECh",
"assets": [
{
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"name": "ergo watcher #18 usov",
"decimals": 0,
"type": "EIP-004"
}
],
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},
{
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"assets": [
{
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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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}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9d17fbe8d34b4f43d59792678cbb2bf4e6b5f7384f5109bd7dedb1b13650b626",
"transactionId": "0a120acbc7ea96a783b2856bf538f2a32006eb34d67bcf30923eb8ed95901e7b",
"blockId": "1a9636159786da77a11923aad049af3c3f29e6035fb607a103cc33f69cb865e2",
"value": 1000000,
"index": 0,
"globalIndex": 45560760,
"creationHeight": 1438348,
"settlementHeight": 1438350,
"ergoTree": "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",
"ergoTreeConstants": "0: 2000\n1: 2000\n2: 100000\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n5: 1\n6: 1\n7: 0\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: false",
"ergoTreeScript": "{\n val b1 = getVar[Byte](0.toByte).get\n val bi2 = SELF.R4[BigInt].get\n val l3 = SELF.R6[Long].get\n val l4 = if (l3 > placeholder[Long](0)) { l3 } else { placeholder[Long](1) }\n val l5 = placeholder[Long](2)\n val bi6 = bi2 * SELF.R9[Long].get + l4.toBigInt / l5.toBigInt\n val prop7 = SELF.R5[SigmaProp].get\n val coll8 = SELF.R7[Coll[Byte]].get\n val bool9 = coll8.size == placeholder[Int](3)\n val bi10 = bi2 * l4.toBigInt / l5.toBigInt\n val prop11 = placeholder[SigmaProp](4)\n val coll12 = SELF.propositionBytes\n val bool13 = INPUTS.filter({(box13: Box) => box13.propositionBytes == coll12 }).size == placeholder[Int](5)\n val bool14 = OUTPUTS.forall({(box14: Box) => box14.propositionBytes != coll12 })\n if (b1 == placeholder[Byte](6)) {(\n val box15 = OUTPUTS(placeholder[Int](7))\n val box16 = OUTPUTS(placeholder[Int](8))\n sigmaProp(allOf(Coll[Boolean](if (bool9) { allOf(Coll[Boolean](box15.value.toBigInt == bi2 - bi6, box15.propositionBytes == prop7.propBytes)) } else {(\n val tuple17 = box15.tokens(placeholder[Int](9))\n allOf(Coll[Boolean](tuple17._1 == coll8, tuple17._2.toBigInt >= bi2 - bi6, box15.propositionBytes == prop7.propBytes))\n )}, if (bool9) { allOf(Coll[Boolean](box16.value.toBigInt >= bi10, box16.propositionBytes == prop11.propBytes)) } else {(\n val tuple17 = box16.tokens(placeholder[Int](10))\n allOf(Coll[Boolean](box16.propositionBytes == prop11.propBytes, tuple17._1 == coll8, tuple17._2.toBigInt >= bi10))\n )}, bool13, bool14)))\n )} else { if (b1 == placeholder[Byte](11)) {(\n val box15 = OUTPUTS(placeholder[Int](12))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box15.value == SELF.value, box15.propositionBytes == prop7.propBytes, box15.tokens == SELF.tokens)), bool13, bool14))) && prop7\n )} else { sigmaProp(placeholder[Boolean](13)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "5355f722f2df4184ed87305bc21ba14389b0f73fd1c4d67359436f8359aa7a99",
"index": 0,
"amount": 1,
"name": "ergo watcher #18 usov",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "08cd025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f",
"sigmaType": "SSigmaProp",
"renderedValue": "025b157407576f8c75ad5f13ecc62ce15a70c403f75ef313174d7b68569769528f"
},
"R6": {
"serializedValue": "05f02e",
"sigmaType": "SLong",
"renderedValue": "3000"
},
"R8": {
"serializedValue": "0e0b4d65774d6172742c4e4654",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d65774d6172742c4e4654"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R9": {
"serializedValue": "05f02e",
"sigmaType": "SLong",
"renderedValue": "3000"
},
"R4": {
"serializedValue": "060508d8f9fc00",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(38000000000)"
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