Transaction
ID: 20966f3c5b...3704
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
500,000
Spent
Address:
Output transaction:
Settlement height:
Value:
1.73 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
5 ERG
Tokens:
25,000
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.116 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.62 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 493,398
Total coins transferred: 6.73 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000278 ERG
Raw Transaction Data
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{
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"dataInputs": [],
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{
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"ergoTree": "1050040404000580897a043c040004000e205be447c71392c430b0126048269f9a788af35527755face9d229fd86530e34f50e2085823119f260c7bbef5b0a454eb1e643ea62c11ba54b6c2872f244d442fd397f0400040204020406040004000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f90e214ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000400040204420e2025b59a7400ddb4d9253a145371b7cc8ed86163d8fea92cd5708c8612f3d693af0e20b8c32c0b9e42cc86d030b2618e5a06c0d2eb2ba0641f090685b985edab10956f0e20ca0bb5e8cad718225c8f2d0261a0d095f25d5e87460a8633f400dc3cc907912f020a020002000200020002200e20260e58b84f9e00be5a7fa51207328fabd7108e9bea05657abaa45d01349fc26504040e20f6ff8b7210015545d4b3ac5fc60c908092d035a1a16155c029e8d511627c7a2c04060e20af785b0add805c5c31f1cc3a3e96c89008fd7127320107a3784b7f49e956484204080e20b0b907abafad8dffce2f9f1dfa1535c022dda05366f4fbd27f581d132f4b23f6040a0e209b16b18081274dc22f18e8591996a266d3b921b771810cca0cb8e7124ad808be040c0e2041f398806552845e52009032105f59e5cb2cb141de63cc737b6d995753c36e81040e0e20fe21b973ccb4d91f288b1c5b3a4f6d9e0c52f6b163c387a2370eb4f9b4001a3e04100e2028c684593e114e7a522ca6e6909877ad0a79ae99db6d6cd43819a34d505b37e804120e203b0839c7f77efc86dba0a45faacd64a638b68e0ac26aa80a158c8ebe57ae158304140e20f7fc37de03f0185df2c1c7c7bb5c064f30d212fd5b6b41a5afe4580c7757037904160e205efdc3ed972684cb218fb0837443fa3cb242d23cb34b2a1e4111662425592a9004180e20820cb809cbfdb339b0d21dbd786878854aa71a91c36f79b611ea6bcccd4b44c9041a0e20f0367ddf3435981f4aa5571b91dd46fe813667f2888d4fc691968fde15879b97041c0e2073ab26a2b358633df222ba8721eb42a941c4e66da1a8db44afcf7c185cbcef3f041e0e2058a5ed48df4158ac136c82ad2ee9f9f04ff11c933b0d16cbcd10765e03bc5eff04200e20f7f738504e0512b076f63502f11dcac2271c6c6085cd2a5fac72e88f4ee86cf704220e20029be6d34548a2833f073e532e8b1117fc082647a0c2e3f481ee29e23d8b8a1f04240e202be4926f14d115afd9cf1133f7ee499b5d0881d707598e5948fca671e688150804260e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a204280e20e7fa21f72c42ae1c3d53b42a939705d11d37eae2edc932f5ee945a0e64eb56e1042a040c044c040005020580f5b20c0402040204420502040a0e082044414f204b65790230d19593b1a57300d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d80cd601b2db6501fe730400d602e4e30164d603b2a5730500d604dc640be4c6720104640283020e73067307e4e3000ed605e4c6a7041ad606b27205730800d607b27205730900d608c5a7d609b2db63087203730a00d60ab2a5730b00d60bb2db6308720a730c00d60ce4c6720a040e96830401938cb2db63087201730d0001730e93730fdb640172029683050193cbc27203b4e4b272047310007311731293db6401e4c672030464db6401e4dc640c72020283173c0e0e86027313720686027314720786027315b38306027316731773187319731a731b72088602731cb27205731d008602731eb27205731f0086027320b2720573210086027322b2720573230086027324b2720573250086027326b2720573270086027328b272057329008602732ab27205732b008602732cb27205732d008602732eb27205732f0086027330b2720573310086027332b2720573330086027334b2720573350086027336b2720573370086027338b272057339008602733ab27205733b008602733cb27205733d008602733eb27205733f0086027340b2720573410086027342b27205734300e4e3020e938c720901b4720773447345938c7209029ab2e4c6a70511734600734792c1720373489683060193cbc2720ab4e4b27204734900734a734b938c720b017208938c720b02734c93720cb3b47206734db17206734e93e4c6720a050e720c93e4c6720a060e830102734f",
"ergoTreeConstants": "0: 2\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: 0\n6: Coll(91,-28,71,-57,19,-110,-60,48,-80,18,96,72,38,-97,-102,120,-118,-13,85,39,117,95,-84,-23,-46,41,-3,-122,83,14,52,-11)\n7: Coll(-123,-126,49,25,-14,96,-57,-69,-17,91,10,69,78,-79,-26,67,-22,98,-63,27,-91,75,108,40,114,-14,68,-44,66,-3,57,127)\n8: 0\n9: 1\n10: 1\n11: 3\n12: 0\n13: 0\n14: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n15: Coll(78,-58,31,72,91,-104,-21,-121,21,63,124,87,-37,79,94,-51,117,85,111,-35,-68,64,59,65,-84,-8,68,31,-34,-114,22,9,0)\n16: 0\n17: 1\n18: 33\n19: Coll(37,-75,-102,116,0,-35,-76,-39,37,58,20,83,113,-73,-52,-114,-40,97,99,-40,-2,-87,44,-43,112,-116,-122,18,-13,-42,-109,-81)\n20: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n21: Coll(-54,11,-75,-24,-54,-41,24,34,92,-113,45,2,97,-96,-48,-107,-14,93,94,-121,70,10,-122,51,-12,0,-36,60,-55,7,-111,47)\n22: 10\n23: 0\n24: 0\n25: 0\n26: 0\n27: 32\n28: Coll(38,14,88,-72,79,-98,0,-66,90,127,-91,18,7,50,-113,-85,-41,16,-114,-101,-22,5,101,122,-70,-92,93,1,52,-97,-62,101)\n29: 2\n30: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n31: 3\n32: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n33: 4\n34: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n35: 5\n36: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n37: 6\n38: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n39: 7\n40: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n41: 8\n42: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n43: 9\n44: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n45: 10\n46: Coll(-9,-4,55,-34,3,-16,24,93,-14,-63,-57,-57,-69,92,6,79,48,-46,18,-3,91,107,65,-91,-81,-28,88,12,119,87,3,121)\n47: 11\n48: Coll(94,-3,-61,-19,-105,38,-124,-53,33,-113,-80,-125,116,67,-6,60,-78,66,-46,60,-77,75,42,30,65,17,102,36,37,89,42,-112)\n49: 12\n50: Coll(-126,12,-72,9,-53,-3,-77,57,-80,-46,29,-67,120,104,120,-123,74,-89,26,-111,-61,111,121,-74,17,-22,107,-52,-51,75,68,-55)\n51: 13\n52: Coll(-16,54,125,-33,52,53,-104,31,74,-91,87,27,-111,-35,70,-2,-127,54,103,-14,-120,-115,79,-58,-111,-106,-113,-34,21,-121,-101,-105)\n53: 14\n54: Coll(115,-85,38,-94,-77,88,99,61,-14,34,-70,-121,33,-21,66,-87,65,-60,-26,109,-95,-88,-37,68,-81,-49,124,24,92,-68,-17,63)\n55: 15\n56: Coll(88,-91,-19,72,-33,65,88,-84,19,108,-126,-83,46,-23,-7,-16,79,-15,28,-109,59,13,22,-53,-51,16,118,94,3,-68,94,-1)\n57: 16\n58: Coll(-9,-9,56,80,78,5,18,-80,118,-10,53,2,-15,29,-54,-62,39,28,108,96,-123,-51,42,95,-84,114,-24,-113,78,-24,108,-9)\n59: 17\n60: Coll(2,-101,-26,-45,69,72,-94,-125,63,7,62,83,46,-117,17,23,-4,8,38,71,-96,-62,-29,-12,-127,-18,41,-30,61,-117,-118,31)\n61: 18\n62: Coll(43,-28,-110,111,20,-47,21,-81,-39,-49,17,51,-9,-18,73,-101,93,8,-127,-41,7,89,-114,89,72,-4,-90,113,-26,-120,21,8)\n63: 19\n64: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n65: 20\n66: Coll(-25,-6,33,-9,44,66,-82,28,61,83,-76,42,-109,-105,5,-47,29,55,-22,-30,-19,-55,50,-11,-18,-108,90,14,100,-21,86,-31)\n67: 21\n68: 6\n69: 38\n70: 0\n71: 1\n72: 13000000\n73: 1\n74: 1\n75: 33\n76: 1\n77: 5\n78: Coll(32,68,65,79,32,75,101,121)\n79: 48",
"ergoTreeScript": "{sigmaProp(if (OUTPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box1.value >= SELF.value - placeholder[Long](2), box1.tokens == SELF.tokens, box1.propositionBytes == SELF.R6[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box1 = CONTEXT.dataInputs(placeholder[Int](4))\n val avlTree2 = getVar[AvlTree](1.toByte).get\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box1.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](6), placeholder[Coll[Byte]](7)), getVar[Coll[Byte]](0.toByte).get)\n val coll5 = SELF.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](8))\n val coll7 = coll5(placeholder[Int](9))\n val coll8 = SELF.id\n val tuple9 = box3.tokens(placeholder[Int](10))\n val box10 = OUTPUTS(placeholder[Int](11))\n val tuple11 = box10.tokens(placeholder[Int](12))\n val coll12 = box10.R4[Coll[Byte]].get\n allOf(Coll[Boolean](box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14), placeholder[Coll[Byte]](15) == avlTree2.digest, allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == coll4(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18)), box3.R4[AvlTree].get.digest == avlTree2.insert(Coll[(Coll[Byte], Coll[Byte])]((placeholder[Coll[Byte]](19), coll6), (placeholder[Coll[Byte]](20), coll7), (placeholder[Coll[Byte]](21), Coll[Byte](placeholder[Byte](22), placeholder[Byte](23), placeholder[Byte](24), placeholder[Byte](25), placeholder[Byte](26), placeholder[Byte](27)).append(coll8)), (placeholder[Coll[Byte]](28), coll5(placeholder[Int](29))), (placeholder[Coll[Byte]](30), coll5(placeholder[Int](31))), (placeholder[Coll[Byte]](32), coll5(placeholder[Int](33))), (placeholder[Coll[Byte]](34), coll5(placeholder[Int](35))), (placeholder[Coll[Byte]](36), coll5(placeholder[Int](37))), (placeholder[Coll[Byte]](38), coll5(placeholder[Int](39))), (placeholder[Coll[Byte]](40), coll5(placeholder[Int](41))), (placeholder[Coll[Byte]](42), coll5(placeholder[Int](43))), (placeholder[Coll[Byte]](44), coll5(placeholder[Int](45))), (placeholder[Coll[Byte]](46), coll5(placeholder[Int](47))), (placeholder[Coll[Byte]](48), coll5(placeholder[Int](49))), (placeholder[Coll[Byte]](50), coll5(placeholder[Int](51))), (placeholder[Coll[Byte]](52), coll5(placeholder[Int](53))), (placeholder[Coll[Byte]](54), coll5(placeholder[Int](55))), (placeholder[Coll[Byte]](56), coll5(placeholder[Int](57))), (placeholder[Coll[Byte]](58), coll5(placeholder[Int](59))), (placeholder[Coll[Byte]](60), coll5(placeholder[Int](61))), (placeholder[Coll[Byte]](62), coll5(placeholder[Int](63))), (placeholder[Coll[Byte]](64), coll5(placeholder[Int](65))), (placeholder[Coll[Byte]](66), coll5(placeholder[Int](67)))), getVar[Coll[Byte]](2.toByte).get).get.digest, tuple9._1 == coll7.slice(placeholder[Int](68), placeholder[Int](69)), tuple9._2 == SELF.R5[Coll[Long]].get(placeholder[Int](70)) + placeholder[Long](71), box3.value >= placeholder[Long](72))), allOf(Coll[Boolean](blake2b256(box10.propositionBytes) == coll4(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), tuple11._1 == coll8, tuple11._2 == placeholder[Long](76), coll12 == coll6.slice(placeholder[Int](77), coll6.size).append(placeholder[Coll[Byte]](78)), box10.R5[Coll[Byte]].get == coll12, box10.R6[Coll[Byte]].get == Coll[Byte](placeholder[Byte](79))))))\n )})}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 100000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "070bc74cf5246b3af5c34d026110ff664a0f481357d2aa906e29949e9ba1919c",
"index": 1,
"amount": 3001,
"name": "Alpha M",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0600000007416c706861204d,0a0000000020070bc74cf5246b3af5c34d026110ff664a0f481357d2aa906e29949e9ba1919c,0001,030000000000000064,0300000000000001fe,030000000000000064,030000000000000001,03000000009fa52400,0000,0019,0019,0600000006616c7068616d,0600000011416c706861204d2044414f2049594b594b,060000005468747470733a2f2f6572676f7061642d7075626c69632e73332e75732d776573742d322e616d617a6f6e6177732e636f6d2f6173736574732e616c7068612d6d313731373039393837313239373734392e504e47,03000000000f731400,0600000000,0500,0600000000,0500,060000000764656661756c74,0a0a00000000,0a030000000200000000000000000000000000000000]"
},
"R5": {
"serializedValue": "1101f02e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000]"
},
"R6": {
"serializedValue": "0e240008cd03e222b39986fd8529b730dc9896a7a80b094e03fa67b47884d5d8c91493b5abd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03e222b39986fd8529b730dc9896a7a80b094e03fa67b47884d5d8c91493b5abd3"
}
},
"spentTransactionId": "460fa2d92a590fc481c904d7b8224c87032483f3be10b6bae46f52fff6b7b7ab",
"mainChain": true
},
{
"boxId": "5eb99f323d08dcf69e59f7f4adca35f22603f5ca9adb40491cf7233416aa339f",
"transactionId": "20966f3c5b3034f783756849ca5158a8bfb083c016b6ba89af757fe0aab83704",
"blockId": "b6ba8ff3992a5f5bbe61bfa724a09619119dd70e11d1fd2afbcbc9767bfa53e5",
"value": 1000000,
"index": 1,
"globalIndex": 40454553,
"creationHeight": 1275894,
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