Transaction
ID: 655e29f6df...3fca
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.5 ERG
Tokens:
17,653.28
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.115 ERG
Tokens:
17,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.384 ERG
Tokens:
653.28
Transaction Details
Confirmations: 931,456
Total coins transferred: 0.5 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001437 ERG
Raw Transaction Data
{
"id": "655e29f6df55d5049e17c73fb6fcad9cc8a51d0796e3e123b4e336f999a03fca",
"blockId": "8b3b0eba9b0c89b03157bd46f8b3c90dad01cdef798a69e71bc5855a412137f0",
"inclusionHeight": 826988,
"timestamp": 1661820299242,
"index": 6,
"globalIndex": 3870234,
"numConfirmations": 931456,
"inputs": [
{
"boxId": "24f5ba88f94737ee717578f6ace344207897f784f9ef6d8447d0b5736e443058",
"value": 500000000,
"index": 0,
"spendingProof": "3a27ec7e996c8e77b6f06bf6292e1784e9856e39891901956d680740889e5260e226c1ee2a1abe5850aabcee7df003e14ed27dbe3d539bf5",
"outputBlockId": "405d3bfb26b04c27ac3fdd93df5b20cf6c260c933513c3d1fde6806b650efde2",
"outputTransactionId": "d75a394e0f3393fef4ee9c9c7672b2b7efb65077a2ebcbfb1a24e33049cf3d67",
"outputIndex": 0,
"outputGlobalIndex": 20859891,
"outputCreatedAt": 826960,
"outputSettledAt": 826962,
"ergoTree": "0008cd021b6f782443d0210787c7e17563376413ea76e788f8db087fdbc2b125b9de11a4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1b6f78,23dca4,...)))}",
"address": "9ej9KHu6SUPxyuvnUCCKoK9L8FDBPfUf5uTHYVVf8vnnZnXGyjD",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 17653280574,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "161704543e3c1fc401ade5a08cba0bcfd3b7ca9d2a4acc9a4440116b8c0a1c57",
"transactionId": "655e29f6df55d5049e17c73fb6fcad9cc8a51d0796e3e123b4e336f999a03fca",
"blockId": "8b3b0eba9b0c89b03157bd46f8b3c90dad01cdef798a69e71bc5855a412137f0",
"value": 115000000,
"index": 0,
"globalIndex": 20862126,
"creationHeight": 826986,
"settlementHeight": 826988,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n3: 1\n4: 2\n5: 0\n6: 3\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: Coll(-98,60,0,50,-115,3,90,-81,-18,-94,89,-28,28,94,-1,-75,64,-105,-60,104,-18,99,24,38,-29,-58,97,-36,-55,-68,26,75)\n13: 100000000\n14: 4\n15: 2000000\n16: 5\n17: 2000000\n18: 6\n19: false\n20: 0\n21: 1000000\n22: 2\n23: false",
"ergoTreeScript": "{\n val bool1 = INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)\n sigmaProp(if (bool1) {(\n val box2 = OUTPUTS(placeholder[Int](3))\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val box5 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box2.tokens(placeholder[Int](7)) == SELF.tokens(placeholder[Int](8)), box2.R4[Coll[Long]].get(placeholder[Int](9)) == SELF.R4[Coll[Long]].get(placeholder[Int](10)), box3.propositionBytes == SELF.R5[Coll[Byte]].get, tuple4._1 == box2.R5[Coll[Byte]].get, tuple4._2 == placeholder[Long](11), blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](12), box5.value == placeholder[Long](13), OUTPUTS(placeholder[Int](14)).value == placeholder[Long](15), OUTPUTS(placeholder[Int](16)).value == placeholder[Long](17), OUTPUTS.size == placeholder[Int](18)))\n )} else { placeholder[Boolean](19) } || if (!bool1) {(\n val box2 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](box2.propositionBytes == SELF.R5[Coll[Byte]].get, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22)))\n )} else { placeholder[Boolean](23) })\n}",
"address": "9RPe1XUt1eWcE8SeSjinriNmrGdMwXK4bbU2xhW3gyJ2j5RAAjrwyPjLuBZpKJGwGCrufVauHgMJmEgnoZH4pBrqGWzYY1538ZHXRA2dCtCNyCgrcS16R3CTFBQ4oZGWviEBHiE2zANhAmJpbFPv5bXp3uYev8jq1hVmVukJ9XFL4re1LwLRzkMDo9RqY6bTHYqjvDbPHHbS7fiYHnKYDr58CCcCHzf72J2G5rBGesbb23NxpLt3oAbU9ZvuzdJ7fr6ZxJBAtjRHtPYEw1Q5mAhcMviSBpamWsCkbduSQwzD3964GzmKVeXKZ7U4oBvWxobRAmNXKEetDhzeXBAKDfMuhdevBQbPMzL2vYgkDdFycFT1a6zTqdbSNAwRKcEhV6yU9uuv8pWqRJm7RzFgoFaUVQyqmemdcULGVyKZMCXr1s78DXFe7yEfBuRhjSwjEcforCQV597rgEzNPLvRG7ZUz6tj",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 17000000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101f2a295c3dd60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1661820119225]"
},
"R5": {
"serializedValue": "0e240008cd021b6f782443d0210787c7e17563376413ea76e788f8db087fdbc2b125b9de11a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd021b6f782443d0210787c7e17563376413ea76e788f8db087fdbc2b125b9de11a4"
}
},
"spentTransactionId": "2ad9df88a6ab6309713e3e10b446f4eb209fd807cc7805c294902039fe0c1262",
"mainChain": true
},
{
"boxId": "44a7732987369bb53fd2ae042a286d5b79e1e5a38bc98560509b63d47676285c",
"transactionId": "655e29f6df55d5049e17c73fb6fcad9cc8a51d0796e3e123b4e336f999a03fca",
"blockId": "8b3b0eba9b0c89b03157bd46f8b3c90dad01cdef798a69e71bc5855a412137f0",
"value": 1000000,
"index": 1,
"globalIndex": 20862127,
"creationHeight": 826986,
"settlementHeight": 826988,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(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)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5e8a530da7ef0ea0bc40c3f24b0832401ee627adc38aa25919bd7826594e2234",
"mainChain": true
},
{
"boxId": "807243b334699a3c38f00ad3030a837da0c2e22dd6c1241641edd86c2820f889",
"transactionId": "655e29f6df55d5049e17c73fb6fcad9cc8a51d0796e3e123b4e336f999a03fca",
"blockId": "8b3b0eba9b0c89b03157bd46f8b3c90dad01cdef798a69e71bc5855a412137f0",
"value": 384000000,
"index": 2,
"globalIndex": 20862128,
"creationHeight": 826986,
"settlementHeight": 826988,
"ergoTree": "0008cd021b6f782443d0210787c7e17563376413ea76e788f8db087fdbc2b125b9de11a4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1b6f78,23dca4,...)))}",
"address": "9ej9KHu6SUPxyuvnUCCKoK9L8FDBPfUf5uTHYVVf8vnnZnXGyjD",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 653280574,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "00b5fb40b17beacffdc1939c9eaaa925226a8e6f8888899fa2a948536baf5064",
"mainChain": true
}
],
"size": 696,
"isUnconfirmed": false
}