Transaction
ID: 0b2f13dee6...df9f
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
781,420.77
Spent
Address:
Output transaction:
Settlement height:
Value:
34.92 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
633,879.78
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
34.92 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 978,971
Total coins transferred: 34.92 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000409 ERG
Raw Transaction Data
{
"id": "0b2f13dee6cae0b6e0637c72c7ae0aa95c75a9b2d7cde2f8e8c2e999abd9df9f",
"blockId": "5e32817411d7626d16e126c98ce0b1ad3809ab2185cbae1748f6a02765c7af8e",
"inclusionHeight": 787648,
"timestamp": 1657171388976,
"index": 18,
"globalIndex": 3500849,
"numConfirmations": 978971,
"inputs": [
{
"boxId": "a29b2e7e1ead9d81763776e4e7f93041405b6ef989c85558e3efc9791cac39c2",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "89c86a6d3c216a006c206dd72e9b9684fd820ab97ef154aed3062ca50371a196",
"outputTransactionId": "5feb04179558e51a47d2aedbabcf0b9f024ac6802198c13e3e0b102dd83eb7b6",
"outputIndex": 0,
"outputGlobalIndex": 17706957,
"outputCreatedAt": 768994,
"outputSettledAt": 768998,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 2\n3: 0\n4: 1\n5: 3\n6: 0\n7: 1\n8: 1\n9: 0\n10: 0\n11: 2\n12: 0\n13: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.R5[Coll[Byte]].get\n val tuple3 = SELF.tokens(placeholder[Int](1))\n val l4 = tuple3._2\n val coll5 = SELF.R4[Coll[Long]].get\n val l6 = CONTEXT.preHeader.timestamp - coll5(placeholder[Int](2)) / coll5(placeholder[Int](3))\n val l7 = coll5(placeholder[Int](4))\n val l8 = coll5(placeholder[Int](5))\n val l9 = l8 - l4\n val l10 = if (l6 >= l7) { l8 - l9 } else { l6 * l8 / l7 - l9 }\n val bool11 = l4 == l10\n val box12 = if (bool11) { OUTPUTS(placeholder[Int](6)) } else { OUTPUTS(placeholder[Int](7)) }\n val coll13 = box12.tokens\n val tuple14 = coll13(placeholder[Int](8))\n val coll15 = tuple3._1\n val box16 = OUTPUTS(placeholder[Int](9))\n sigmaProp(\n (\n allOf(Coll[Boolean](box1.tokens.exists({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll2 }), INPUTS(placeholder[Int](10)).id == SELF.id)) && allOf(\n Coll[Boolean](\n box12.propositionBytes == box1.propositionBytes, coll13.size == placeholder[Int](11), coll13(\n placeholder[Int](12)\n )._1 == coll2, tuple14._1 == coll15, tuple14._2 == l10\n )\n )\n ) && (bool11 || \n val tuple17 = box16.tokens(placeholder[Int](13))\n allOf(Coll[Boolean](box16.value == SELF.value, box16.propositionBytes == SELF.propositionBytes, tuple17._1 == coll15, tuple17._2 == l4 - l10, box16.R5[Coll[Byte]].get == coll2, box16.R4[Coll[Long]].get == coll5))\n )\n )\n}",
"address": "2k6J5ocjeESe4cuXP6rwwq55t6cUwiyqDzNdEFgnKhwnWhttnSShZb4LaMmqTndrog6MbdT8iJbnnwWEcNoeRfEqXBQW4ohBTgm8rDnu9WBBZSixjJoKPT4DStGSobBkoxS4HZMe4brCgujdnmnMBNf8s4cfGtJsxRqGwtLMvmP6Z6FAXw5pYveHRFDBZkhh6qbqoetEKX7ER2kJormhK266bPDQPmFCcsoYRdRiUJBtLoQ3fq4C6N2Mtb3Jab4yqjvjLB7JRTP82wzsXNNbjUsvgCc4wibpMc8MqJutkh7t6trkLmcaH12mAZBWiVhwHkCYCjPFcZZDbr7xeh29UDcwPQdApxHyrWTWHtNRvm9dpwMRjnG2niddbZU82Rpy33cMcN3cEYZajWgDnDKtrtpExC2MWSMCx5ky3t8C1CRtjQYX2yp3x6ZCRxG7vyV7UmfDHWgh9bvU",
"assets": [
{
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"index": 0,
"amount": 7814207651,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480f0b252ee028088f8c08f608090dfc04a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,183,1651348800000,10000000000]"
},
"R5": {
"serializedValue": "0e208df79ec1ac91d5736af5484c619c06c6273df4de97576c18147dd1e34f90ce3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8df79ec1ac91d5736af5484c619c06c6273df4de97576c18147dd1e34f90ce3f"
}
}
},
{
"boxId": "a7dfc056a905a8d5e263ca59d9538ba0eb77b31e1583fb0d09c5eb6354b7c788",
"value": 34918579118,
"index": 1,
"spendingProof": "d3371e79da4c8bd5371214b813d0854c86c140e81369c4cbe5cb81ae40b623dc534e04c6182499b2f681df9d01fd00ceb1de070f85ada25b",
"outputBlockId": "e12b812414dc1305d945d30cf465b1c329ccb52d1286cfdc7f9dbefc41ad6946",
"outputTransactionId": "478159d33cd4e84cbe2ece3b5f72607deb3d9100691efe4ed52129081f84ecfa",
"outputIndex": 1,
"outputGlobalIndex": 18690677,
"outputCreatedAt": 785918,
"outputSettledAt": 785920,
"ergoTree": "0008cd0340616e20d2db7f3dba63a0470762192c72226c9f673f9d40260aba2ba6dfcd34",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(40616e,fb2ffd,...)))}",
"address": "9gxACxzNT4Q4YNRBpC8nKpxZf13L4i6z54fNcVvdkvBwxmPkFes",
"assets": [
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"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Aneta #3325",
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{
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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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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0618d58ac30b9bbae041588791893d85e699b9a6df5808f522d206d226df036f",
"transactionId": "0b2f13dee6cae0b6e0637c72c7ae0aa95c75a9b2d7cde2f8e8c2e999abd9df9f",
"blockId": "5e32817411d7626d16e126c98ce0b1ad3809ab2185cbae1748f6a02765c7af8e",
"value": 1000000,
"index": 0,
"globalIndex": 18779699,
"creationHeight": 787643,
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SByte]",
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"creationHeight": 787643,
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"ergoTree": "0008cd0340616e20d2db7f3dba63a0470762192c72226c9f673f9d40260aba2ba6dfcd34",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(40616e,fb2ffd,...)))}",
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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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}