Transaction
ID: cf43750048...fb1b
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
2.02 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
10.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 850,432
Total coins transferred: 2.02 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000336 ERG
Raw Transaction Data
{
"id": "cf437500485557454496c3198406cad561c869beceb72543a87b838fcdc6fb1b",
"blockId": "35360a2c88da99a2b9dafce9bca2b3cdebf89a0d8647030fe97f77f7f4bb5fd1",
"inclusionHeight": 918888,
"timestamp": 1673797414970,
"index": 15,
"globalIndex": 4620400,
"numConfirmations": 850432,
"inputs": [
{
"boxId": "d7cdb3cce2adda221cf78860a69af06a82335ab284bfb177e01b5c5f0cf04a99",
"value": 2015623423,
"index": 0,
"spendingProof": "6f88799b71ff98db8f32f248e58129ddae21249e127d48f03e0a7f9fe9c0b23b3c517fcfd81a17242bfa408d2dc8bc95195e20440b88319f",
"outputBlockId": "b9cee45618680418395fe99a815311943a5d7815eab3666dc9dbd9adc5ebe563",
"outputTransactionId": "7d37142d8f39c7f7e27b6d04d735f353db482d87f05f30d0c76a7473b48bf0ff",
"outputIndex": 1,
"outputGlobalIndex": 25638591,
"outputCreatedAt": 918793,
"outputSettledAt": 918795,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [
{
"tokenId": "0ea1b5ba7382b3abf977d5d70bf2897695082a702181c075a05fa497e5bccede",
"index": 0,
"amount": 2,
"name": "Call_A_fakeUSD_ERG_1206499999_2023-04-16_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 1,
"amount": 973292,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "52ead53986e64808e12617d17eaca6f7cb09eb55210647df0242ee4a9f80a3eb",
"index": 2,
"amount": 1,
"name": "CALL_E_fakeUSD_ERG_1206499999_2023-01-11_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "19cf7c98ff35c587f37f88b2b9c431d80944e5a7c0d5b1fe7ef1c10e296c4d80",
"index": 3,
"amount": 2,
"name": "CALL_fakeUSD_ERG_706499999_2023-04-30_per_1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "000000202fab670aa388a0e5879eb886fe138611e45d14a3452b80eea0bacc3f",
"index": 4,
"amount": 100,
"name": "Tokentest",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 5,
"amount": 63,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 6,
"amount": 37,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b092706df3923666a71717bf158b4e1f1acecb1567d12ded1045baa2a89aa",
"index": 7,
"amount": 1,
"name": "CYTI Blob 9/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b069c8e9c850454bed4bc7a32353c4d54e3cb7e62b6b89e85058b522363e8",
"index": 8,
"amount": 1,
"name": "CYTI Blob 6/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0356aae5fbf56ec4c29c52e4c73e2699d3432768f0f9eb39fd79ea7f7d10",
"index": 9,
"amount": 1,
"name": "CYTI Blob 3/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0560d9af6b75b80d071814623ac4698246276cbe99f5dd60901a6dd7b430",
"index": 10,
"amount": 1,
"name": "CYTI Blob 5/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0000001ad3eddecada595ce5419e60b1f992b503a5ae5fe16ccef88587f39574",
"index": 11,
"amount": 12,
"name": "Token12",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00000000e78ce4d38b8eaf4a46c97adaecd2b51070b42c8b7bb635a2432915d7",
"index": 12,
"amount": 10,
"name": "Tokenim",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b04c8763b5114e5dd82264ceba96a0c6f0417fe7ee1f4daf968ebe0c2d85e",
"index": 13,
"amount": 1,
"name": "CYTI Blob 4/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b07e07c19a77f7d984a19c4f55e7b5d412a03869f5ff6417dfd90e553ea07",
"index": 14,
"amount": 1,
"name": "CYTI Blob 7/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "222229994a60d3658d6a8ed7ad08c47bbac9d9c7e6542813f4b822c6cc44e8bf",
"index": 15,
"amount": 1,
"name": "Token 2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "666666df2155ee301114ca799eb6023d54b46de8fca136171194e3ff870aa2ff",
"index": 16,
"amount": 100,
"name": "Tokent6",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b08b8213d483d6cb44811237d972da7be6a81c869b391d2fc6cb0d188cb05",
"index": 17,
"amount": 1,
"name": "CYTI Blob 8/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 18,
"amount": 2,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 19,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 20,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 21,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 22,
"amount": 1187,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b108fbbacae9f2c61960f50bb58072c3e007b2ee8e1f98a24eabcba9a1403",
"index": 23,
"amount": 1,
"name": "CYTI Blob 10/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0fb736ce56ff5422e03fc79fe00811559092614103988bb27be26717f5b7ab00",
"index": 24,
"amount": 1,
"name": "led1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "766c7659501a7f3fef66f279b6ba92a13601d22338bf0c8ec7c0396b141e4e6b",
"transactionId": "cf437500485557454496c3198406cad561c869beceb72543a87b838fcdc6fb1b",
"blockId": "35360a2c88da99a2b9dafce9bca2b3cdebf89a0d8647030fe97f77f7f4bb5fd1",
"value": 4200000,
"index": 0,
"globalIndex": 25644346,
"creationHeight": 918886,
"settlementHeight": 918888,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 3\n5: 1\n6: 0\n7: 0\n8: 2\n9: 100\n10: 0\n11: 7\n12: Coll(119,119,119,-27,5,31,-118,107,-61,8,39,-18,65,-35,57,-32,75,-54,29,-70,53,35,107,-102,38,-76,-108,-32,-70,-56,79,51)\n13: Coll(48)\n14: 1\n15: 2100000\n16: 1\n17: false\n18: 1\n19: 0\n20: 1\n21: 0\n22: CBigInt(1000000)\n23: 86400000\n24: 2\n25: 1\n26: 86400000\n27: 2100000\n28: 1\n29: 1\n30: 2\n31: 1\n32: 2100000\n33: 9\n34: false\n35: 14400000\n36: 2\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 100\n43: 500\n44: 1000\n45: 2000\n46: 4000\n47: 9000\n48: 13000\n49: 20000\n50: 30000\n51: 40000\n52: 50000\n53: 70000\n54: 110000\n55: 140000\n56: 170000\n57: 210000\n58: 250000\n59: 300000\n60: 500000\n61: 1\n62: 0\n63: 1\n64: 0\n65: 1\n66: 4\n67: 4\n68: 1775840000\n69: CBigInt(0)\n70: 5\n71: 1000\n72: 6\n73: 177584000\n74: 10000\n75: 0\n76: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n77: 30\n78: 2\n79: 2\n80: 3\n81: 3\n82: 8\n83: CBigInt(1000)\n84: false\n85: 2\n86: 4\n87: 0\n88: 1\n89: 0\n90: 2\n91: 0\n92: 0\n93: 1\n94: 0\n95: 0\n96: 1\n97: false\n98: 1100000\n99: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val box4 = SELF.R7[Box].get\n val bool5 = (tuple3._1 == box4.id) && (SELF.propositionBytes == box4.propositionBytes)\n val box6 = if (bool5) { box4 } else { SELF }\n val prop7 = box6.R9[SigmaProp].get\n val bool8 = !bool5\n val box9 = OUTPUTS(placeholder[Int](2))\n val coll10 = box9.propositionBytes\n val coll11 = SELF.propositionBytes\n val box12 = OUTPUTS(placeholder[Int](3))\n val coll13 = box6.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](4))\n val l15 = CONTEXT.preHeader.timestamp\n val l16 = l14 - l15\n val coll17 = box9.tokens\n val tuple18 = coll17.getOrElse(placeholder[Int](5), tuple2)\n val l19 = tuple18._2\n val l20 = tuple3._2\n val bool21 = coll13(placeholder[Int](6)) == placeholder[Long](7)\n val l22 = coll13(placeholder[Int](8))\n val l23 = l22 * placeholder[Long](9)\n val tuple24 = coll17.getOrElse(placeholder[Int](10), tuple2)\n val l25 = tuple24._2\n val l26 = SELF.value\n val l27 = coll13(placeholder[Int](11))\n val coll28 = tuple24._1\n val coll29 = box6.id\n val coll30 = placeholder[Coll[Byte]](12)\n val coll31 = placeholder[Coll[Byte]](13)\n val bool32 = if (coll10 == coll11) {\n (\n (\n (\n (\n (((coll28 == coll29) && (l25 >= placeholder[Long](14))) && (box9.value >= placeholder[Long](15))) && (\n ((bool21 && (tuple18._1 == coll30)) && (l19 >= placeholder[Long](16))) || (!bool21)\n )\n ) && (box9.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n ) && (box9.R5[Coll[Byte]].get == coll31)\n ) && (box9.R6[Coll[Byte]].get == coll31)\n ) && (box9.R7[Box].get == box6)\n } else { placeholder[Boolean](17) }\n val coll33 = box6.R5[Coll[Byte]].get\n val bool34 = l15 <= l14\n val l35 = box9.value\n val l36 = coll1.getOrElse(placeholder[Int](18), tuple2)._2\n val coll37 = box12.tokens\n val tuple38 = coll37.getOrElse(placeholder[Int](19), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val coll41 = prop7.propBytes\n val bool42 = coll13(placeholder[Int](20)) == placeholder[Long](21)\n val bi43 = placeholder[BigInt](22)\n val bool44 = l15 > l14\n val bool45 = if (bool42) { (bool5 && bool44) && (l15 < l14 + placeholder[Long](23)) } else { bool5 && bool34 }\n prop7 && sigmaProp(((bool8 && (OUTPUTS.size == placeholder[Int](24))) && (coll10 != coll11)) && (box12.propositionBytes != coll11)) || sigmaProp(\n (\n (\n if ((bool8 && (INPUTS.size == placeholder[Int](25))) && (l16 >= placeholder[Long](26))) {\n (\n (\n bool32 && (\n ((box9.value >= placeholder[Long](27)) && (box9.R7[Box].get == SELF)) && (\n (\n ((bool21 && (l19 == l20)) && (l25 == l20 - placeholder[Long](28) / l23 + placeholder[Long](29))) && (coll17.size == placeholder[Int](30))\n ) || (((!bool21) && (coll17.size == placeholder[Int](31))) && (l25 == l26 - placeholder[Long](32) / l27))\n )\n )\n ) && (box12.propositionBytes == coll33)\n ) && (box12.value >= coll13(placeholder[Int](33)))\n } else { placeholder[Boolean](34) } || if (((!(bool34 && (l15 > l14 - placeholder[Long](35)))) && (INPUTS.size == placeholder[Int](36))) && (\n CONTEXT.dataInputs.size > placeholder[Int](37)\n )) {(\n val box46 = CONTEXT.dataInputs(placeholder[Int](38))\n val l47 = l20 - l25\n val l48 = box46.R4[Long].get\n val l49 = if (bool21) { max(placeholder[Long](39), l48 - l27 * l22) } else { max(placeholder[Long](40), l27 - l48 * l22) }\n val coll50 = Coll[Long](\n placeholder[Long](41), placeholder[Long](42), placeholder[Long](43), placeholder[Long](44), placeholder[Long](45), placeholder[Long](\n 46\n ), placeholder[Long](47), placeholder[Long](48), placeholder[Long](49), placeholder[Long](50), placeholder[Long](51), placeholder[Long](\n 52\n ), placeholder[Long](53), placeholder[Long](54), placeholder[Long](55), placeholder[Long](56), placeholder[Long](57), placeholder[Long](\n 58\n ), placeholder[Long](59), placeholder[Long](60)\n )\n val coll51 = coll50.map({(l51: Long) => l51 * l51 }).zip(coll50)\n val i52 = coll51.map({(tuple52: (Long, Long)) => if (tuple52._1 >= l16) { placeholder[Long](61) } else { placeholder[Long](62) } }).indexOf(\n placeholder[Long](63), placeholder[Int](64)\n )\n val tuple53 = coll51(i52 - placeholder[Int](65))\n val l54 = tuple53._2\n val tuple55 = coll51(i52)\n val l56 = tuple53._1\n val bi57 = l54.toBigInt + tuple55._2 - l54.toBigInt * l16 - l56.toBigInt / tuple55._1 - l56.toBigInt\n val bi58 = placeholder[Long](66) * coll13(placeholder[Int](67)).toBigInt * l22.toBigInt * l27.toBigInt * bi57 / placeholder[Int](68).toBigInt\n val bi59 = max(\n placeholder[BigInt](69), bi58 - bi58 * coll13(placeholder[Int](70)).toBigInt * max(l48 - l27, l27 - l48).toBigInt / placeholder[Long](\n 71\n ) * l27.toBigInt\n )\n val bi60 = if (bool42) { l49.toBigInt + bi59 } else {\n l49.toBigInt + bi59 + bi59 * coll13(placeholder[Int](72)).toBigInt * bi57 / placeholder[Int](73).toBigInt\n }\n val bi61 = l47.toBigInt * bi60 - bi60 % placeholder[Long](74).toBigInt\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box46.tokens(placeholder[Int](75))._1 == placeholder[Coll[Byte]](76)) && (HEIGHT <= box46.R5[Int].get + placeholder[Int](77))\n ) && bool32\n ) && (l35 == l26)\n ) && ((bool21 && (l19 == l36)) || (!bool21))\n ) && (coll39 == coll29)\n ) && (l40 == l47)\n ) && (OUTPUTS(placeholder[Int](78)).propositionBytes == coll41)\n ) && (OUTPUTS(placeholder[Int](79)).value.toBigInt >= max(bi43, bi61))\n ) && (OUTPUTS(placeholder[Int](80)).propositionBytes == coll33)\n ) && (OUTPUTS(placeholder[Int](81)).value.toBigInt >= max(bi43, bi61 * coll13(placeholder[Int](82)).toBigInt / placeholder[BigInt](83)))\n )} else { placeholder[Boolean](84) }\n ) || if (((bool45 && (INPUTS.size == placeholder[Int](85))) && (OUTPUTS.size == placeholder[Int](86))) && (\n CONTEXT.dataInputs.size == placeholder[Int](87)\n )) {(\n val l46 = if (bool21) { l36 - l19 } else { l26 - l35 }\n val l47 = if (bool21) { l46 / l23 } else { l46 / l27 * l22 }\n val tuple48 = INPUTS(placeholder[Int](88)).tokens.getOrElse(placeholder[Int](89), tuple2)\n val box49 = OUTPUTS(placeholder[Int](90))\n val coll50 = box49.tokens\n val tuple51 = coll50.getOrElse(placeholder[Int](91), tuple2)\n (\n (((l47 == if (tuple48._1 == coll29) { tuple48._2 } else { placeholder[Long](92) }) && bool32) && (l25 == l20)) && (\n (\n ((((bool21 && (coll39 == coll30)) && (l40 == l46)) && (coll37.size == placeholder[Int](93))) && (box49.value >= l47 * l27 * l22)) && (\n coll50.size == placeholder[Int](94)\n )\n ) || (\n (((((!bool21) && (box12.value >= l46)) && (coll37.size == placeholder[Int](95))) && (tuple51._1 == coll30)) && (tuple51._2 >= l47 * l23)) && (\n coll50.size == placeholder[Int](96)\n )\n )\n )\n ) && (box49.propositionBytes == coll41)\n )} else { placeholder[Boolean](97) }\n ) || if (bool44 && (!bool45)) {\n ((coll10 == coll41) && ((bool21 && (coll28 == coll30)) && (l25 == l20))) || ((!bool21) && (l35 >= l26 - placeholder[Long](98)))\n } else { placeholder[Boolean](99) }\n )\n}",
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"assets": [
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
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}