Transaction
ID: 8249ca400d...ddb8
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
69,945.36
Spent
Address:
Output transaction:
Settlement height:
Value:
0.397169667 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
62,841.53
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:
0.395169667 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 974,974
Total coins transferred: 0.398169667 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000047 ERG
Raw Transaction Data
{
"id": "8249ca400da2533544de485de087f8123f3714fa8dcd1ccc4f6b7e97cbb7ddb8",
"blockId": "1ffef263d852bddef9196cf2a37e250ad64c7d2898f6868dc66f30d9ede9b9ae",
"inclusionHeight": 788616,
"timestamp": 1657286428115,
"index": 9,
"globalIndex": 3508599,
"numConfirmations": 974974,
"inputs": [
{
"boxId": "cf3982d5e67ad1b39b28d44c384c44db2d311db08ab273d8842be94cbced5446",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "664d63b669cc1011e5ea30fc6f85c69340e8a76143f803226b9a8dc4b6f897f8",
"outputTransactionId": "fdc96bb68b71e2be7cb2dc75eb302c1e8f1816dc6b6a3f5301d7a582d4ee8c80",
"outputIndex": 0,
"outputGlobalIndex": 18338907,
"outputCreatedAt": 779137,
"outputSettledAt": 779139,
"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": [
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 0,
"amount": 699453552,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480f0b252ee028088f8c08f6080a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[86400000,183,1651348800000,1000000000]"
},
"R5": {
"serializedValue": "0e206d089c43d1ac6256b16ff4f945696a7106716e79f6430272865d7d77f9b55285",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d089c43d1ac6256b16ff4f945696a7106716e79f6430272865d7d77f9b55285"
}
}
},
{
"boxId": "d00a51a97f653dc3181674a6697cd687e1ae406cafea7c1f558ac57f0f39f62a",
"value": 397169667,
"index": 1,
"spendingProof": "0aee707eed935a2a2bbb15e23292f40de9a709e75850fb96057239e2ed1f338362f1ad420c6fdc37fc368fedc0f21973a35772f1a0f65e5a",
"outputBlockId": "0bb6047d60512b5fda0e8aa58d2cfe086d7242c31813ce3778af64af540f7e4e",
"outputTransactionId": "7204893fbf079fe09c79b664db5ec6d049b7e9788dfe53ea0db0fa310971f133",
"outputIndex": 3,
"outputGlobalIndex": 18824273,
"outputCreatedAt": 788608,
"outputSettledAt": 788611,
"ergoTree": "0008cd0359be6fb57df8b6e2ed85b02fd86c08a103685081398792c72d29c67e5cb312ab",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(59be6f,9fd739,...)))}",
"address": "9h9L5X2vPWXHi8XjQFsSDyFc6NTGZYvvz1QJHagnA8dB7ixhLMj",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-Lend ErgoPad Staker Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1,
"name": "Aneta #2805",
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},
{
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"index": 2,
"amount": 1,
"name": "ErgoGames Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d04a8a38016bca9beaa30999a99ee54323e49c16138c809c2c20b2df45fe6ecc",
"index": 3,
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"name": "Paideia Strategic Round Vesting Key",
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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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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "2e62b8e98d8de247cf8c8d5ecf4e484958d5bc186013c75157ddb4dd03b9469e",
"transactionId": "8249ca400da2533544de485de087f8123f3714fa8dcd1ccc4f6b7e97cbb7ddb8",
"blockId": "1ffef263d852bddef9196cf2a37e250ad64c7d2898f6868dc66f30d9ede9b9ae",
"value": 1000000,
"index": 0,
"globalIndex": 18824515,
"creationHeight": 788614,
"settlementHeight": 788616,
"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",
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