Transaction
ID: c4a31624d2...526c
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.1 ERG
Tokens:
4
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.1 ERG
Tokens:
4
Transaction Details
Confirmations: 246,940
Total coins transferred: 1.1 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000374 ERG
Raw Transaction Data
{
"id": "c4a31624d2cc5c3cd1ed5d2eb5e60761eeb2756d31a835deee3d444bed2a526c",
"blockId": "77528a1cdf6cdc104af75e319ac4d947d8dd5d487bccfef3bbb1068c4f7a90f0",
"inclusionHeight": 1531196,
"timestamp": 1748004263027,
"index": 2,
"globalIndex": 8999029,
"numConfirmations": 246940,
"inputs": [
{
"boxId": "808a5d2190dd8a17b7e6ab939ccf347d91fe0d2525bb1b2f42c78ab6a8b899b9",
"value": 1100000000,
"index": 0,
"spendingProof": "972d1e9fb0fdd8aa93b30ad085ef56394cba336b9773264983ef666cb542414889f14636905b0a664d5d6576fcad1b8e708c39b8a8e996d8",
"outputBlockId": "3e427a53ebb1a61d5a7b9cf3e8e578f006d3f483661ffdcaf8fa7e071464f815",
"outputTransactionId": "8631188c9fed8ae7ef599db144387bf1e192c96a5e0feca21c0e6f500aacb0c3",
"outputIndex": 0,
"outputGlobalIndex": 48014956,
"outputCreatedAt": 1531175,
"outputSettledAt": 1531177,
"ergoTree": "0008cd02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(128919,bab1b3,...)))}",
"address": "9efDyqCqk457p94YsFfuSX4CDYDG2WvEPouSVswU3xoyjcqhXJT",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 400,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "6c1321a064103bfe58b013128cd6cc02e5122c77c43a4785a425e988d3839537",
"transactionId": "c4a31624d2cc5c3cd1ed5d2eb5e60761eeb2756d31a835deee3d444bed2a526c",
"blockId": "77528a1cdf6cdc104af75e319ac4d947d8dd5d487bccfef3bbb1068c4f7a90f0",
"value": 1100000,
"index": 0,
"globalIndex": 48015283,
"creationHeight": 1531193,
"settlementHeight": 1531196,
"ergoTree": 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"ergoTreeConstants": "0: Coll(-21,14,81,-108,2,-33,-44,121,81,-71,-58,-66,-73,-35,-56,-55,-23,112,-128,47,70,-16,-24,-78,-96,41,-116,8,-41,-63,46,49)\n1: SigmaProp(ProveDlog(ECPoint(75acc4,25ee17,...)))\n2: 0\n3: 0\n4: 1\n5: 127\n6: 3\n7: 2\n8: 0\n9: 1\n10: Coll(0,8,-51,2,18,-119,25,-122,77,69,118,50,84,63,54,-89,67,122,-126,85,-111,83,86,57,-80,19,-28,1,-39,4,63,83,-32,-125,-69,-113)\n11: 720\n12: 0\n13: 720\n14: 0\n15: 0\n16: 30\n17: 8\n18: 1\n19: 1\n20: 0\n21: 1\n22: 1\n23: true\n24: false\n25: 0\n26: 10\n27: 100\n28: 0\n29: 1\n30: 2\n31: 1\n32: 0\n33: 1\n34: 0\n35: 2\n36: 2\n37: 0\n38: 60\n39: 0\n40: 3\n41: 1\n42: 0\n43: 2\n44: 1\n45: 2\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 0\n52: false\n53: 0\n54: true\n55: 4\n56: 1\n57: 0\n58: 0\n59: 5\n60: 1\n61: 0\n62: 0\n63: 800\n64: 1000\n65: 1\n66: 120\n67: 1000\n68: 0\n69: 2\n70: 30\n71: 1000\n72: 0\n73: 3\n74: 2\n75: 1\n76: 0\n77: 0\n78: true\n79: 0\n80: true\n81: 6\n82: 0\n83: 1\n84: 0\n85: 1\n86: 7\n87: 0\n88: 0\n89: 2\n90: 1\n91: 0\n92: 1\n93: 8\n94: 1\n95: 120\n96: 1000\n97: 0\n98: 2\n99: 30\n100: 1000\n101: 0\n102: 3\n103: 2\n104: 1\n105: 0\n106: 1\n107: 0\n108: true\n109: 0\n110: true\n111: 800\n112: 1000\n113: 9\n114: 0\n115: 0\n116: 1\n117: 0\n118: 1\n119: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val func2 = {(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) }\n val prop3 = placeholder[SigmaProp](1)\n val func4 = {(tuple4: (SigmaProp, Box)) =>\n val coll6 = tuple4._2.propositionBytes\n val coll7 = tuple4._1.propBytes\n if (coll6(placeholder[Int](2)).toInt == placeholder[Int](3)) { coll6 == coll7 } else {(\n val i8 = coll6.size\n coll7.slice(placeholder[Int](4), coll7.size) == coll6.slice(if (i8 > placeholder[Int](5)) { placeholder[Int](6) } else { placeholder[Int](7) }, i8)\n )}\n }\n val l5 = SELF.R8[Long].get\n val coll6 = SELF.propositionBytes\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](8))\n val coll9 = tuple8._1\n val tuple10 = coll7(placeholder[Int](9))\n val coll11 = tuple10._1\n val i12 = SELF.R4[Int].get\n val tuple13 = SELF.R5[(SigmaProp, SigmaProp)].get\n val prop14 = tuple13._1\n val tuple15 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val prop16 = tuple13._2\n val l17 = SELF.R9[Long].get\n val coll18 = placeholder[Coll[Byte]](10)\n val func19 = {(coll19: Coll[Byte]) =>\n OUTPUTS.forall(\n {(box21: Box) => allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != coll6)) }\n )\n }\n val tuple20 = SELF.R7[(Boolean, Boolean)].get\n val bool21 = tuple20._1\n val i22 = HEIGHT - i12\n val bool23 = (i22 <= placeholder[Int](11)) && (i22 > placeholder[Int](12))\n val bool24 = i22 >= placeholder[Int](13)\n val bool25 = tuple20._2\n val coll26 = tuple15._1\n val bool27 = coll26.size > placeholder[Int](14)\n val coll28 = tuple15._2\n val bool29 = coll28.size > placeholder[Int](15)\n val i30 = i12 + placeholder[Int](16)\n val i31 = i30 + placeholder[Int](17)\n if (i1 == placeholder[Int](18)) {(\n val box32 = INPUTS(placeholder[Int](19))\n val box33 = OUTPUTS(placeholder[Int](20))\n val tuple34 = box33.R5[(SigmaProp, SigmaProp)].get\n val prop35 = tuple34._2\n val l36 = box33.R9[Long].get\n val coll37 = box33.tokens\n val tuple38 = coll37(placeholder[Int](21))\n val box39 = OUTPUTS(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func2(box32), allOf(\n Coll[Boolean](prop35 != prop3, func4((prop35, box32)), box33.R7[(Boolean, Boolean)].get == (placeholder[Boolean](23), placeholder[Boolean](24)))\n )\n )\n ), allOf(Coll[Boolean](l36 > placeholder[Long](25), l36 == placeholder[Long](26) * l5 / placeholder[Long](27), tuple38._2 == l5 + l36)), allOf(\n Coll[Boolean](\n box33.value == SELF.value, box33.propositionBytes == coll6, coll37(placeholder[Int](28)) == (\n coll9, placeholder[Long](29)\n ), tuple38._1 == coll11, box33.R4[Int].get == i12, tuple34._1 == prop14, box33.R6[(Coll[Byte], Coll[Byte])].get == tuple15, box33.R8[\n Long\n ].get == l5\n )\n ), allOf(Coll[Boolean](box39.propositionBytes == box32.propositionBytes, func2(box39)))\n )\n )\n ) && prop16\n )} else { if (i1 == placeholder[Int](30)) {(\n val box32 = INPUTS(placeholder[Int](31))\n val box33 = OUTPUTS(placeholder[Int](32))\n val box34 = OUTPUTS(placeholder[Int](33))\n val tuple35 = box34.tokens(placeholder[Int](34))\n val l36 = l17 / placeholder[Long](35)\n val box37 = OUTPUTS(placeholder[Int](36))\n val tuple38 = box37.tokens(placeholder[Int](37))\n sigmaProp(allOf(Coll[Boolean](bool21, i22 >= placeholder[Int](38), allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](func4((prop14, box33)), box33.tokens(placeholder[Int](39)) == (coll11, l5))), allOf(Coll[Boolean](box34.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l36)), func2(box34))), allOf(Coll[Boolean](box37.propositionBytes == coll18, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == tuple10._2 - l5 - l36)))), func19(coll9)))) && prop16\n )} else { if (i1 == placeholder[Int](40)) {(\n val box32 = INPUTS(placeholder[Int](41))\n val box33 = OUTPUTS(placeholder[Int](42))\n val l34 = l5 / placeholder[Long](43)\n val box35 = OUTPUTS(placeholder[Int](44))\n val l36 = l5 - l34\n val l37 = l36 / placeholder[Long](45)\n val box38 = OUTPUTS.getOrElse(placeholder[Int](46), SELF)\n sigmaProp(allOf(Coll[Boolean](bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, if (bool24) { box33.tokens(placeholder[Int](47)) == (coll11, l5) } else { if (bool23) { box33.tokens(placeholder[Int](48)) == (coll11, l34) } else { placeholder[Boolean](49) } })), allOf(Coll[Boolean](func4((prop16, box35)), if (bool24) {(\n val tuple39 = box35.tokens(placeholder[Int](50))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17))\n )} else { if (bool23) {(\n val tuple39 = box35.tokens(placeholder[Int](51))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17 + l36 - l37))\n )} else { placeholder[Boolean](52) } })), if (bool23) {(\n val tuple39 = box38.tokens(placeholder[Int](53))\n allOf(Coll[Boolean](box38.propositionBytes == coll18, allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l37))))\n )} else { placeholder[Boolean](54) }, func19(coll9)))) && prop14\n )} else { if (i1 == placeholder[Int](55)) {(\n val box32 = INPUTS(placeholder[Int](56))\n val box33 = OUTPUTS(placeholder[Int](57))\n sigmaProp(allOf(Coll[Boolean](!bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, box33.tokens(placeholder[Int](58)) == (coll11, l5))), func19(coll9)))) && prop14\n )} else { if (i1 == placeholder[Int](59)) {(\n val box32 = INPUTS(placeholder[Int](60))\n val box33 = OUTPUTS(placeholder[Int](61))\n val tuple34 = box33.tokens(placeholder[Int](62))\n val l35 = placeholder[Long](63) * l5 / placeholder[Long](64)\n val box36 = OUTPUTS.getOrElse(placeholder[Int](65), SELF)\n val l37 = if (bool27) { placeholder[Long](66) * l5 / placeholder[Long](67) } else { placeholder[Long](68) }\n val box38 = OUTPUTS.getOrElse(placeholder[Int](69), SELF)\n val l39 = if (bool29) { placeholder[Long](70) * l5 / placeholder[Long](71) } else { placeholder[Long](72) }\n val box40 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](73)) } else { if (bool27) { OUTPUTS(placeholder[Int](74)) } else { OUTPUTS(placeholder[Int](75)) } }\n val tuple41 = box40.tokens(placeholder[Int](76))\n sigmaProp(allOf(Coll[Boolean](HEIGHT >= i30, HEIGHT >= i31, bool21, !bool25, allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple34._1 == coll11, tuple34._2 == l17 + l35)), func2(box33))), if (bool27) {(\n val tuple42 = box36.tokens(placeholder[Int](77))\n allOf(Coll[Boolean](box36.propositionBytes == coll26, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l37))))\n )} else { placeholder[Boolean](78) }, if (bool29 && bool27) {(\n val tuple42 = box38.tokens(placeholder[Int](79))\n allOf(Coll[Boolean](box38.propositionBytes == coll28, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l39))))\n )} else { placeholder[Boolean](80) }, allOf(Coll[Boolean](box40.propositionBytes == coll18, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l5 - l35 + l37 + l39)))), func19(coll9)))) && prop16\n )} else { if (i1 == placeholder[Int](81)) {(\n val box32 = OUTPUTS(placeholder[Int](82))\n val tuple33 = box32.R7[(Boolean, Boolean)].get\n val coll34 = box32.tokens\n sigmaProp(allOf(Coll[Boolean]((HEIGHT >= i12) && bool21, HEIGHT < i31, func4((prop14, INPUTS(placeholder[Int](83)))), tuple33._2, allOf(Coll[Boolean](box32.value == SELF.value, box32.propositionBytes == coll6, coll34(placeholder[Int](84)) == tuple8, coll34(placeholder[Int](85)) == tuple10, box32.R4[Int].get == i12, box32.R5[(SigmaProp, SigmaProp)].get == tuple13, box32.R6[(Coll[Byte], Coll[Byte])].get == tuple15, tuple33._1 == bool21, box32.R8[Long].get == l5, box32.R9[Long].get == l17))))) && prop14\n )} else { if (i1 == placeholder[Int](86)) {(\n val box32 = OUTPUTS(placeholder[Int](87))\n val tuple33 = box32.tokens(placeholder[Int](88))\n val l34 = l17 / placeholder[Long](89)\n val box35 = OUTPUTS(placeholder[Int](90))\n val tuple36 = box35.tokens(placeholder[Int](91))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](92)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l34 + l5)))), allOf(Coll[Boolean](box35.propositionBytes == coll18, allOf(Coll[Boolean](tuple36._1 == coll11, tuple36._2 == l17 - l34)))), func19(coll9)))) && prop3\n )} else { if (i1 == placeholder[Int](93)) {(\n val box32 = OUTPUTS.getOrElse(placeholder[Int](94), SELF)\n val l33 = if (bool27) { placeholder[Long](95) * l5 / placeholder[Long](96) } else { placeholder[Long](97) }\n val box34 = OUTPUTS.getOrElse(placeholder[Int](98), SELF)\n val l35 = if (bool29) { placeholder[Long](99) * l5 / placeholder[Long](100) } else { placeholder[Long](101) }\n val box36 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](102)) } else { if (bool27) { OUTPUTS(placeholder[Int](103)) } else { OUTPUTS(placeholder[Int](104)) } }\n val tuple37 = box36.tokens(placeholder[Int](105))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](106)))), if (bool27) {(\n val tuple38 = box32.tokens(placeholder[Int](107))\n allOf(Coll[Boolean](box32.propositionBytes == coll26, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l33))))\n )} else { placeholder[Boolean](108) }, if (bool29 && bool27) {(\n val tuple38 = box34.tokens(placeholder[Int](109))\n allOf(Coll[Boolean](box34.propositionBytes == coll28, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l35))))\n )} else { placeholder[Boolean](110) }, allOf(Coll[Boolean](box36.propositionBytes == coll18, allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l5 - placeholder[Long](111) * l5 / placeholder[Long](112) + l33 + l35)))), func19(coll9)))) && prop3\n )} else { if (i1 == placeholder[Int](113)) {(\n val box32 = OUTPUTS(placeholder[Int](114))\n val tuple33 = box32.tokens(placeholder[Int](115))\n val box34 = OUTPUTS(placeholder[Int](116))\n val tuple35 = box34.tokens(placeholder[Int](117))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](118)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l5)))), allOf(Coll[Boolean](func4((prop16, box34)), allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l17)))), func19(coll9)))) && prop3\n )} else { sigmaProp(placeholder[Boolean](119)) } } } } } } } } }\n}",
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"assets": [
{
"tokenId": "808a5d2190dd8a17b7e6ab939ccf347d91fe0d2525bb1b2f42c78ab6a8b899b9",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 10,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5ccd02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8fcd02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8f",
"sigmaType": "(SSigmaProp, SSigmaProp)",
"renderedValue": "[02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8f,02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8f]"
},
"R6": {
"serializedValue": "3c0e0e0000",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[,]"
},
"R8": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
},
"R7": {
"serializedValue": "550000",
"sigmaType": "(SBoolean, SBoolean)",
"renderedValue": "[false,false]"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "04d2c5bb01",
"sigmaType": "SInt",
"renderedValue": "1536361"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "92b8f09dfab6d4a411cd40e55c8594fd1affa013a156cfe4f40fb51c5e357ea7",
"transactionId": "c4a31624d2cc5c3cd1ed5d2eb5e60761eeb2756d31a835deee3d444bed2a526c",
"blockId": "77528a1cdf6cdc104af75e319ac4d947d8dd5d487bccfef3bbb1068c4f7a90f0",
"value": 1100000,
"index": 1,
"globalIndex": 48015284,
"creationHeight": 1531193,
"settlementHeight": 1531196,
"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": "2334a5659ff43a4481de39bff73924a076df90c74b26a58a248c3bb242599c0b",
"mainChain": true
},
{
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"transactionId": "c4a31624d2cc5c3cd1ed5d2eb5e60761eeb2756d31a835deee3d444bed2a526c",
"blockId": "77528a1cdf6cdc104af75e319ac4d947d8dd5d487bccfef3bbb1068c4f7a90f0",
"value": 1097800000,
"index": 2,
"globalIndex": 48015285,
"creationHeight": 1531193,
"settlementHeight": 1531196,
"ergoTree": "0008cd02128919864d457632543f36a7437a825591535639b013e401d9043f53e083bb8f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(128919,bab1b3,...)))}",
"address": "9efDyqCqk457p94YsFfuSX4CDYDG2WvEPouSVswU3xoyjcqhXJT",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 390,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b54f2cbb6004c227b57d8e22d92a35ca7907f2890b0ab372455029cbc9d02bb3",
"mainChain": true
}
],
"size": 2941,
"isUnconfirmed": false
}