Transaction
ID: dce6f8d62e...ca60
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000,000.01
Spent
Address:
Output transaction:
Settlement height:
Value:
0.039505914 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
100
1,000,000.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.038405914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 155,684
Total coins transferred: 0.040505914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000313 ERG
Raw Transaction Data
{
"id": "dce6f8d62ea31c8bcf1f0bb108d946bc79a2c10017e6bc9007b83228e8e8ca60",
"blockId": "f0c70d3e44d9a4bf7107a4b56b96fe7bee21fd2c71d7ffa8a4c425c4e0a8acd4",
"inclusionHeight": 1605642,
"timestamp": 1757025818535,
"index": 6,
"globalIndex": 9437816,
"numConfirmations": 155684,
"inputs": [
{
"boxId": "c7a6b4f3b3038c7d11f8e404351534d3e59b5313759423f14113f69d819e4bad",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0ec1e0a40ea9d76a21e5cec6629b37ee6fce8b3f34fc39b7673592f12153272e",
"outputTransactionId": "5130cbc4f15b26490fc79730c36c7e1d95ab4da82cc5a8945519142d7407b3d4",
"outputIndex": 0,
"outputGlobalIndex": 49882072,
"outputCreatedAt": 1605638,
"outputSettledAt": 1605640,
"ergoTree": "1966040400040004000e2085dddbfd5f8c2df0a8db4b148bbaeb7713d9b3ab06114781718c26263cb25a28d803d601b2db6308a7730000d602b2a5730100d603b2db63087202730200d196830201ed938c7201018c720301938c7201028c720302937303cbc27202",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-123,-35,-37,-3,95,-116,45,-16,-88,-37,75,20,-117,-70,-21,119,19,-39,-77,-85,6,17,71,-127,113,-116,38,38,60,-78,90,40)",
"ergoTreeScript": "{\n val tuple1 = SELF.tokens(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val tuple3 = box2.tokens(placeholder[Int](2))\n sigmaProp(allOf(Coll[Boolean]((tuple1._1 == tuple3._1) && (tuple1._2 == tuple3._2), placeholder[Coll[Byte]](3) == blake2b256(box2.propositionBytes))))\n}",
"address": "PmKooeDy1PYrXQZBn6CWZktXr8eHkEjDQTeGh6unZubnzoYKZf1VRi8USUqEymCCz7bdCE1J8SFq1bqa3NuojfGHKisEEFHB9stwAmnNwokmHvX2aoTvtDzn4vLZociRp8UMwMhTASVTXcQttfRa",
"assets": [
{
"tokenId": "c4e57277b92b6d8809c85b720f5472f5d64f75b646a8f9aeeeaa59f4e9874ddb",
"index": 0,
"amount": 100000001,
"name": "DevFees APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0b4465764665657320415054",
"sigmaType": "Coll[SByte]",
"renderedValue": "4465764665657320415054"
},
"R5": {
"serializedValue": "0e840154656d706f72616c2d66756e64696e6720546f6b656e20666f722074686520446576466565732070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e2042656e65206f6e63652074686520646561646c696e6520686173207061737365642e",
"sigmaType": "Coll[SByte]",
"renderedValue": "54656d706f72616c2d66756e64696e6720546f6b656e20666f722074686520446576466565732070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e2042656e65206f6e63652074686520646561646c696e6520686173207061737365642e"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
}
}
},
{
"boxId": "d6c407c0162afca34fcc7f75796ba5b81260b26adf58a6e4bfbcb786a732129f",
"value": 39505914,
"index": 1,
"spendingProof": "1ee849f17c2ff4a8cc52392aad332d25416bbd952c3ea7202a4fa06731736d18a20a05972c6319d877a82bd929c957bd884f54f55b7e650f",
"outputBlockId": "0ec1e0a40ea9d76a21e5cec6629b37ee6fce8b3f34fc39b7673592f12153272e",
"outputTransactionId": "5130cbc4f15b26490fc79730c36c7e1d95ab4da82cc5a8945519142d7407b3d4",
"outputIndex": 2,
"outputGlobalIndex": 49882074,
"outputCreatedAt": 1605638,
"outputSettledAt": 1605640,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 2972100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f3d37875c87701f5fb523a5dc40b3e19bf9d527f99950bd5277f37c4948e2ee",
"index": 1,
"amount": 400,
"name": "TestCollectnewfix APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 99970000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9f84aa5b4e5b6989a09bb9d7622a540b81754dc78270a4f4ce1d49a6c4c0a23f",
"index": 3,
"amount": 300,
"name": "TestCollectv2 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "4fa94db3320f7991ca9d8e147edb4c3360e2ed14943dc3be25cab5d867ea0cf9",
"index": 4,
"amount": 100,
"name": "Test for the Collect APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "abe6382d2d9aae6631d054fa6d35900a91afadcce6a5f4c67cd5e9b2efc22c22",
"index": 5,
"amount": 100,
"name": "Test Rate APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "dafa6183e63be9f3d851086f120fcb2023d3a2111eccdcbcd61197c4c5575385",
"index": 6,
"amount": 2000,
"name": "Collect Test APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 7,
"amount": 3,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 8,
"amount": 995901,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7c7d5f3b37082d3e1a8b12218d8aaabef8396462baa3bb917c711efb2013c5ef",
"index": 9,
"amount": 2,
"name": "Timer Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cc28dcb36a9ce4b7bc9cc0b96599753ad7e26a5dfe2793ec68bf630562d382d4",
"index": 10,
"amount": 1,
"name": "base token testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 11,
"amount": 2,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 12,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 13,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 14,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 15,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 16,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 17,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 18,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 19,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 20,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "23a8a12060762592fc44c571f87bc786dd77659ff6e9106180c346c5337ce827",
"transactionId": "dce6f8d62ea31c8bcf1f0bb108d946bc79a2c10017e6bc9007b83228e8e8ca60",
"blockId": "f0c70d3e44d9a4bf7107a4b56b96fe7bee21fd2c71d7ffa8a4c425c4e0a8acd4",
"value": 1000000,
"index": 0,
"globalIndex": 49882095,
"creationHeight": 1605640,
"settlementHeight": 1605642,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: Coll(116,-75,35,-42,3,97,-24,44,66,18,-126,-125,-107,122,-20,126,1,-2,95,-26,-30,-101,101,70,100,93,63,126,22,-77,-71,42)\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 1\n15: 2\n16: 2\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 0\n26: 1\n27: 2\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 0\n34: 0\n35: 0\n36: 0\n37: 1\n38: 127\n39: 3\n40: 2\n41: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n42: 1\n43: 5\n44: 100\n45: 2\n46: 0\n47: 1100000\n48: 1000000\n49: 1100000\n50: 0\n51: 1\n52: 0\n53: 1\n54: true\n55: 1\n56: Coll(-86,89,37,58,10,-99,117,-42,88,-18,-57,-82,-38,-112,-13,80,103,91,46,30,-52,-2,-18,-47,126,83,-128,-10,25,96,60,113)\n57: 2\n58: 2\n59: 3\n60: 0\n61: 0\n62: 3\n63: 0\n64: 1000000\n65: 0\n66: 0\n67: 0\n68: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n69: 0\n70: 0\n71: 0\n72: 0\n73: 1\n74: false\n75: 1\n76: 0\n77: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = SELF.R7[Coll[Long]].get\n val coll5 = if (coll4(placeholder[Int](1)) == placeholder[Long](2)) { Coll[Byte]() } else { placeholder[Coll[Byte]](3) }\n val bool6 = coll5.size == placeholder[Int](4)\n val tuple7 = coll1(placeholder[Int](5))\n val box8 = OUTPUTS(placeholder[Int](6))\n val coll9 = box8.tokens\n val tuple10 = coll9(placeholder[Int](7))\n val i11 = SELF.R4[Int].get\n val l12 = SELF.R5[Long].get\n val bool13 = SELF.propositionBytes == box8.propositionBytes\n val bool14 = (\n (\n (\n ((((tuple7._1 == tuple10._1) && (i11 == box8.R4[Int].get)) && (l12 == box8.R5[Long].get)) && (coll4 == box8.R7[Coll[Long]].get)) && (\n SELF.R8[Coll[Byte]].get == box8.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box8.R9[Coll[Byte]].get)\n ) && bool13\n ) && if (bool6) {(\n val i14 = coll9.size\n (i14 == placeholder[Int](8)) || (i14 == placeholder[Int](9))\n )} else {(\n val i14 = coll9.size\n ((i14 == placeholder[Int](10)) || (i14 == placeholder[Int](11))) || (i14 == placeholder[Int](12))\n )}\n val coll15 = SELF.R6[Coll[Long]].get\n val l16 = coll15(placeholder[Int](13))\n val coll17 = box8.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val bool19 = l16 == l18\n val l20 = coll15(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\n val bool22 = l20 == l21\n val bool23 = coll9.size == placeholder[Int](17)\n val bool24 = if (bool3) { placeholder[Long](18) } else { coll1(placeholder[Int](19))._2 } == if (bool23) { placeholder[Long](20) } else {\n coll9(placeholder[Int](21))._2\n }\n val l25 = tuple7._2\n val l26 = tuple10._2\n val l27 = l25 - l26\n val l28 = {(box28: Box) =>\n val coll30 = box28.tokens\n val coll31 = box28.R6[Coll[Long]].get\n if (coll30.size == placeholder[Int](22)) { placeholder[Long](23) } else { coll30(placeholder[Int](24))._2 } - coll31(placeholder[Int](25)) + coll31(\n placeholder[Int](26)\n ) + coll31(placeholder[Int](27))\n }(SELF)\n val func29 = {(box29: Box) => if (bool6) { box29.value } else {(\n val coll31 = box29.tokens.filter({(tuple31: (Coll[Byte], Long)) => tuple31._1 == coll5 })\n if (coll31.size > placeholder[Int](28)) { coll31(placeholder[Int](29))._2 } else { placeholder[Long](30) }\n )} }\n val l30 = func29(box8)\n val l31 = func29(SELF)\n val l32 = coll4(placeholder[Int](31))\n val l33 = coll17(placeholder[Int](32))\n val l34 = coll15(placeholder[Int](33))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l26 - l25\n val l38 = l18 - l16\n val l39 = SELF.value\n val l40 = box8.value\n val l41 = if (bool6) { if (bool13) { l39 - l40 } else { l39 } } else { l31 - if (bool13) { l30 } else { placeholder[Long](34) } }\n val bool42 = l25 == l26\n val bool43 = l34 >= l12\n val func44 = {(tuple44: (SigmaProp, Box)) =>\n val coll46 = tuple44._2.propositionBytes\n val coll47 = tuple44._1.propBytes\n if (coll46(placeholder[Int](35)).toInt == placeholder[Int](36)) { coll46 == coll47 } else {(\n val i48 = coll46.size\n coll47.slice(placeholder[Int](37), coll47.size) == coll46.slice(\n if (i48 > placeholder[Int](38)) { placeholder[Int](39) } else { placeholder[Int](40) }, i48\n )\n )}\n }\n val prop45 = placeholder[SigmaProp](41)\n val box46 = OUTPUTS(placeholder[Int](42))\n val bool47 = func44((prop45, box46))\n val l48 = l41 * placeholder[Int](43).toLong / placeholder[Long](44)\n val box49 = OUTPUTS(placeholder[Int](45))\n val l50 = l41 - l48\n val l51 = if (bool6) {\n if (l48 == placeholder[Long](46)) { l50 - placeholder[Int](47).toLong - placeholder[Long](48) } else { l50 - placeholder[Int](49).toLong }\n } else { l50 }\n val bool52 = l39 == l40\n val bool53 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool52, bool42))\n val l54 = if (bool23) { placeholder[Long](50) } else { coll9(placeholder[Int](51))._2 } - if (bool3) { placeholder[Long](52) } else {\n coll1(placeholder[Int](53))._2\n }\n val l55 = !l54\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](54) } else { coll1(placeholder[Int](55))._1 == placeholder[Coll[Byte]](56) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](57))\n } else { (bool3 || (i2 == placeholder[Int](58))) || (i2 == placeholder[Int](59)) }\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool24)), l27 <= l28, l30 - l31 == l27 * l32, allOf(\n Coll[Boolean](l27 == l35, l35 > placeholder[Long](60))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool22, bool24)), (HEIGHT > i11) && (l34 < l12), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](61))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool14 || (if (bool6) { l41 == l39 } else { l41 == l31 } && bool3), bool36, bool19, bool22, bool42, if (bool6) { bool3 } else {\n !(i2 == placeholder[Int](62))\n } || bool24\n )\n ), bool43, bool47, allOf(\n Coll[Boolean](if (bool6) { if (l48 == placeholder[Long](63)) { box49.value >= placeholder[Long](64) } else { box49.value == l48 } } else {(\n val coll56 = box49.tokens.filter({(tuple56: (Coll[Byte], Long)) => tuple56._1 == coll5 })\n if (coll56.size > placeholder[Int](65)) { coll56(placeholder[Int](66))._2 } else { placeholder[Long](67) } == l48\n )}, placeholder[Coll[Byte]](68) == blake2b256(box49.propositionBytes))\n ), if (bool6) { box46.value == l51 } else {(\n val coll56 = box46.tokens.filter({(tuple56: (Coll[Byte], Long)) => tuple56._1 == coll5 })\n if (coll56.size > placeholder[Int](69)) { coll56(placeholder[Int](70))._2 } else { placeholder[Long](71) } == l51\n )}\n )\n ), allOf(Coll[Boolean](bool53, bool47, l54 < placeholder[Long](72), l55 <= l28)), if (INPUTS.size == placeholder[Int](73)) {\n placeholder[Boolean](74)\n } else { allOf(Coll[Boolean](bool53, func44((prop45, INPUTS(placeholder[Int](75)))), l54 > placeholder[Long](76))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool52 && bool3), bool36, bool19, bool52)), bool43, l37 == l21 - l20, allOf(\n Coll[Boolean](l37 == l55, l37 > placeholder[Long](77))\n )\n )\n )\n )\n )\n )\n}",
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},
"spentTransactionId": "eff5b37c3dffc57e1291eb33deb395e2bedc05807ff2a3f9a49b4462149a8930",
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
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