Transaction
ID: 2ca5ba2d82...8d02
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.52 ERG
Tokens:
0
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.51 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.016 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 767,003
Total coins transferred: 4.53 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000727 ERG
Raw Transaction Data
{
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"index": 14,
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"inputs": [
{
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{
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{
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{
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],
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],
"dataInputs": [],
"outputs": [
{
"boxId": "078b538dd30634241780f8db4c0b4dc3936180db70f7efe1364b6a12a7571112",
"transactionId": "2ca5ba2d8204a2c4d0a8054db9900ca67448ce4cb36dc8da066e8aebc1c38d02",
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},
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"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": "da43615c1c621c9113e676bd6ca16af77d5cb8ee9452d00d83762fddcb50bf86",
"mainChain": true
}
],
"size": 2750,
"isUnconfirmed": false
}