Transaction
ID: 03bf12a30b...e23f
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.96 ERG
Tokens:
2
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.95 ERG
Tokens:
1
Transaction Details
Confirmations: 196,927
Total coins transferred: 1.96 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000378 ERG
Raw Transaction Data
{
"id": "03bf12a30be8dcc6d28868178df6e64a7cfbbad2bbd44412be5f4d71e8d0e23f",
"blockId": "f2237d1471bff20a087908178bde7fec450e1dfa34fd4e7516db01e5100e2a5b",
"inclusionHeight": 1562022,
"timestamp": 1751731707118,
"index": 9,
"globalIndex": 9172552,
"numConfirmations": 196927,
"inputs": [
{
"boxId": "dc7dde051d96416020ac20fbd7e48e1c652b2ca3d1908bc1a88d85c48518e85b",
"value": 1956300000,
"index": 0,
"spendingProof": "fde57ab99e5536b7557a38dfa0fd6a10386d12c26f24120dbcd278fd03548e29e527c13a29e1e02894ae3cebd227bcf41dde38978a5594ef",
"outputBlockId": "9f4ed65b55fa646ff4acf4abbba2cc17469760bec59eb79dbf377ed21eb9452a",
"outputTransactionId": "8c4609a0f6a5ccbf1eb735a00fadb8935ca889f49065bb7ee3b0ef63a5d73ba3",
"outputIndex": 2,
"outputGlobalIndex": 48728505,
"outputCreatedAt": 1562018,
"outputSettledAt": 1562019,
"ergoTree": "0008cd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e7c9b,e2732f,...)))}",
"address": "9gwKqBpyFDf5DuZvAKctxyPM4NdStdRg8oE5FiHaF2iVxBXmV2E",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 155,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "c4736daa5b89047b4ffd38546ef173c3430f957995eea4d41093632a16a8b575",
"transactionId": "03bf12a30be8dcc6d28868178df6e64a7cfbbad2bbd44412be5f4d71e8d0e23f",
"blockId": "f2237d1471bff20a087908178bde7fec450e1dfa34fd4e7516db01e5100e2a5b",
"value": 1000000,
"index": 0,
"globalIndex": 48728554,
"creationHeight": 1562021,
"settlementHeight": 1562022,
"ergoTree": 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"ergoTreeConstants": "0: Coll(-15,81,-11,-63,-86,-80,-44,122,-126,8,61,33,3,70,-5,12,-7,25,51,90,49,48,-114,20,72,-84,11,-1,51,-21,34,9)\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: 30\n13: 720\n14: 30\n15: 0\n16: 0\n17: 30\n18: 8\n19: 1\n20: 1\n21: 0\n22: 1\n23: 1\n24: true\n25: false\n26: 0\n27: 10\n28: 100\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 0\n36: 2\n37: 2\n38: 0\n39: 60\n40: 0\n41: 3\n42: 1\n43: 0\n44: 2\n45: 1\n46: 2\n47: 2\n48: 0\n49: 0\n50: false\n51: 0\n52: 0\n53: false\n54: 0\n55: true\n56: 4\n57: 1\n58: 0\n59: 0\n60: 5\n61: 1\n62: 0\n63: 0\n64: 800\n65: 1000\n66: 1\n67: 120\n68: 1000\n69: 0\n70: 2\n71: 30\n72: 1000\n73: 0\n74: 3\n75: 2\n76: 1\n77: 0\n78: 0\n79: true\n80: 0\n81: true\n82: 6\n83: 0\n84: 1\n85: 0\n86: 1\n87: 7\n88: 0\n89: 0\n90: 2\n91: 1\n92: 0\n93: 1\n94: 8\n95: 1\n96: 120\n97: 1000\n98: 0\n99: 2\n100: 30\n101: 1000\n102: 0\n103: 3\n104: 2\n105: 1\n106: 0\n107: 1\n108: 0\n109: true\n110: 0\n111: true\n112: 800\n113: 1000\n114: 9\n115: 0\n116: 0\n117: 1\n118: 0\n119: 1\n120: 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 = i12 - HEIGHT\n val bool23 = (i22 < placeholder[Int](11)) && (i22 >= placeholder[Int](12))\n val bool24 = (i22 >= placeholder[Int](13)) && (i22 >= placeholder[Int](14))\n val bool25 = tuple20._2\n val coll26 = tuple15._1\n val bool27 = coll26.size > placeholder[Int](15)\n val coll28 = tuple15._2\n val bool29 = coll28.size > placeholder[Int](16)\n val i30 = i12 + placeholder[Int](17)\n val i31 = i30 + placeholder[Int](18)\n if (i1 == placeholder[Int](19)) {(\n val box32 = INPUTS(placeholder[Int](20))\n val box33 = OUTPUTS(placeholder[Int](21))\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](22))\n val box39 = OUTPUTS(placeholder[Int](23))\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](24), placeholder[Boolean](25)))\n )\n )\n ), allOf(Coll[Boolean](l36 > placeholder[Long](26), l36 == placeholder[Long](27) * l5 / placeholder[Long](28), tuple38._2 == l5 + l36)), allOf(\n Coll[Boolean](\n box33.value == SELF.value, box33.propositionBytes == coll6, coll37(placeholder[Int](29)) == (\n coll9, placeholder[Long](30)\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 )\n )} else { if (i1 == placeholder[Int](31)) {(\n val box32 = INPUTS(placeholder[Int](32))\n val box33 = OUTPUTS(placeholder[Int](33))\n val box34 = OUTPUTS(placeholder[Int](34))\n val tuple35 = box34.tokens(placeholder[Int](35))\n val l36 = l17 / placeholder[Long](36)\n val box37 = OUTPUTS(placeholder[Int](37))\n val tuple38 = box37.tokens(placeholder[Int](38))\n sigmaProp(allOf(Coll[Boolean](bool21, i22 >= placeholder[Int](39), allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](func4((prop14, box33)), box33.tokens(placeholder[Int](40)) == (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))))\n )} else { if (i1 == placeholder[Int](41)) {(\n val box32 = INPUTS(placeholder[Int](42))\n val box33 = OUTPUTS(placeholder[Int](43))\n val l34 = l5 / placeholder[Long](44)\n val box35 = OUTPUTS(placeholder[Int](45))\n val l36 = l5 - l34\n val l37 = l36 / placeholder[Long](46)\n val box38 = OUTPUTS.getOrElse(placeholder[Int](47), SELF)\n sigmaProp(allOf(Coll[Boolean](bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, if (bool24) { box33.tokens(placeholder[Int](48)) == (coll11, l5) } else { if (bool23) { box33.tokens(placeholder[Int](49)) == (coll11, l34) } else { placeholder[Boolean](50) } })), allOf(Coll[Boolean](func4((prop16, box35)), if (bool24) {(\n val tuple39 = box35.tokens(placeholder[Int](51))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17))\n )} else { if (bool23) {(\n val tuple39 = box35.tokens(placeholder[Int](52))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17 + l36 - l37))\n )} else { placeholder[Boolean](53) } })), if (bool23) {(\n val tuple39 = box38.tokens(placeholder[Int](54))\n allOf(Coll[Boolean](box38.propositionBytes == coll18, allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l37))))\n )} else { placeholder[Boolean](55) }, func19(coll9))))\n )} else { if (i1 == placeholder[Int](56)) {(\n val box32 = INPUTS(placeholder[Int](57))\n val box33 = OUTPUTS(placeholder[Int](58))\n sigmaProp(allOf(Coll[Boolean](!bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, box33.tokens(placeholder[Int](59)) == (coll11, l5))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](60)) {(\n val box32 = INPUTS(placeholder[Int](61))\n val box33 = OUTPUTS(placeholder[Int](62))\n val tuple34 = box33.tokens(placeholder[Int](63))\n val l35 = placeholder[Long](64) * l5 / placeholder[Long](65)\n val box36 = OUTPUTS.getOrElse(placeholder[Int](66), SELF)\n val l37 = if (bool27) { placeholder[Long](67) * l5 / placeholder[Long](68) } else { placeholder[Long](69) }\n val box38 = OUTPUTS.getOrElse(placeholder[Int](70), SELF)\n val l39 = if (bool29) { placeholder[Long](71) * l5 / placeholder[Long](72) } else { placeholder[Long](73) }\n val box40 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](74)) } else { if (bool27) { OUTPUTS(placeholder[Int](75)) } else { OUTPUTS(placeholder[Int](76)) } }\n val tuple41 = box40.tokens(placeholder[Int](77))\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](78))\n allOf(Coll[Boolean](box36.propositionBytes == coll26, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l37))))\n )} else { placeholder[Boolean](79) }, if (bool29 && bool27) {(\n val tuple42 = box38.tokens(placeholder[Int](80))\n allOf(Coll[Boolean](box38.propositionBytes == coll28, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l39))))\n )} else { placeholder[Boolean](81) }, allOf(Coll[Boolean](box40.propositionBytes == coll18, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l5 - l35 + l37 + l39)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](82)) {(\n val box32 = OUTPUTS(placeholder[Int](83))\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](84)))), tuple33._2, allOf(Coll[Boolean](box32.value == SELF.value, box32.propositionBytes == coll6, coll34(placeholder[Int](85)) == tuple8, coll34(placeholder[Int](86)) == 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)))))\n )} else { if (i1 == placeholder[Int](87)) {(\n val box32 = OUTPUTS(placeholder[Int](88))\n val tuple33 = box32.tokens(placeholder[Int](89))\n val l34 = l17 / placeholder[Long](90)\n val box35 = OUTPUTS(placeholder[Int](91))\n val tuple36 = box35.tokens(placeholder[Int](92))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](93)))), 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))))\n )} else { if (i1 == placeholder[Int](94)) {(\n val box32 = OUTPUTS.getOrElse(placeholder[Int](95), SELF)\n val l33 = if (bool27) { placeholder[Long](96) * l5 / placeholder[Long](97) } else { placeholder[Long](98) }\n val box34 = OUTPUTS.getOrElse(placeholder[Int](99), SELF)\n val l35 = if (bool29) { placeholder[Long](100) * l5 / placeholder[Long](101) } else { placeholder[Long](102) }\n val box36 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](103)) } else { if (bool27) { OUTPUTS(placeholder[Int](104)) } else { OUTPUTS(placeholder[Int](105)) } }\n val tuple37 = box36.tokens(placeholder[Int](106))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](107)))), if (bool27) {(\n val tuple38 = box32.tokens(placeholder[Int](108))\n allOf(Coll[Boolean](box32.propositionBytes == coll26, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l33))))\n )} else { placeholder[Boolean](109) }, if (bool29 && bool27) {(\n val tuple38 = box34.tokens(placeholder[Int](110))\n allOf(Coll[Boolean](box34.propositionBytes == coll28, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l35))))\n )} else { placeholder[Boolean](111) }, allOf(Coll[Boolean](box36.propositionBytes == coll18, allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l5 - placeholder[Long](112) * l5 / placeholder[Long](113) + l33 + l35)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](114)) {(\n val box32 = OUTPUTS(placeholder[Int](115))\n val tuple33 = box32.tokens(placeholder[Int](116))\n val box34 = OUTPUTS(placeholder[Int](117))\n val tuple35 = box34.tokens(placeholder[Int](118))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](119)))), 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))))\n )} else { sigmaProp(placeholder[Boolean](120)) } } } } } } } } }\n}",
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"assets": [
{
"tokenId": "dc7dde051d96416020ac20fbd7e48e1c652b2ca3d1908bc1a88d85c48518e85b",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 20,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5ccd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79cd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79",
"sigmaType": "(SSigmaProp, SSigmaProp)",
"renderedValue": "[033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79,033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79]"
},
"R6": {
"serializedValue": "3c0e0e0000",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[,]"
},
"R8": {
"serializedValue": "0528",
"sigmaType": "SLong",
"renderedValue": "20"
},
"R7": {
"serializedValue": "550000",
"sigmaType": "(SBoolean, SBoolean)",
"renderedValue": "[false,false]"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "04cae4be01",
"sigmaType": "SInt",
"renderedValue": "1562917"
}
},
"spentTransactionId": "741bad183870d4cf128a622ed687014d74824431f915d600b99e7e9bd5afb730",
"mainChain": true
},
{
"boxId": "1a3fed4b6c1d53245f5c5529de6a65d4b65f4f2ad2fb46fa3404e26f367f2268",
"transactionId": "03bf12a30be8dcc6d28868178df6e64a7cfbbad2bbd44412be5f4d71e8d0e23f",
"blockId": "f2237d1471bff20a087908178bde7fec450e1dfa34fd4e7516db01e5100e2a5b",
"value": 1100000,
"index": 1,
"globalIndex": 48728555,
"creationHeight": 1562021,
"settlementHeight": 1562022,
"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": "fe5287ee7219b20a35a23387eb9693bd953c6a3df741379e5d8c8a2969874c19",
"mainChain": true
},
{
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"transactionId": "03bf12a30be8dcc6d28868178df6e64a7cfbbad2bbd44412be5f4d71e8d0e23f",
"blockId": "f2237d1471bff20a087908178bde7fec450e1dfa34fd4e7516db01e5100e2a5b",
"value": 1954200000,
"index": 2,
"globalIndex": 48728556,
"creationHeight": 1562021,
"settlementHeight": 1562022,
"ergoTree": "0008cd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e7c9b,e2732f,...)))}",
"address": "9gwKqBpyFDf5DuZvAKctxyPM4NdStdRg8oE5FiHaF2iVxBXmV2E",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 135,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "741bad183870d4cf128a622ed687014d74824431f915d600b99e7e9bd5afb730",
"mainChain": true
}
],
"size": 2913,
"isUnconfirmed": false
}