Transaction
ID: fb73a80b2e...35e7
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
3.34 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.34 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 873,340
Total coins transferred: 3.34 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000435 ERG
Raw Transaction Data
{
"id": "fb73a80b2ee5eefc704e18316e80d33e245d40de7ff63098f867eda0335b35e7",
"blockId": "ef1551c5d0ea4d1956d6b3ca4dfa8a5d6798877890d4d4d6b3ae15e2144ea593",
"inclusionHeight": 900903,
"timestamp": 1671618178931,
"index": 16,
"globalIndex": 4500150,
"numConfirmations": 873340,
"inputs": [
{
"boxId": "3ca2bc534d558dd7c7e8c87b74a503e2f2ff59fabec5a97274d9d22710c0c2d8",
"value": 3344100000,
"index": 0,
"spendingProof": "19119b7e9f60dd00b9ffca26c037cd39dcecc59f3a148547bdbe3ca6f2c561bfc8e039581b6b3d3a10a33347373b01a751f0008ff720d3af",
"outputBlockId": "1780677e7b9786f25bb166d299aa3a77b310b541e04346539626b18df7a9baa6",
"outputTransactionId": "3d874fef1f260754f16101a22c01199a6f223cb2eb302d78c8396c09e59d0f75",
"outputIndex": 1,
"outputGlobalIndex": 24799208,
"outputCreatedAt": 900861,
"outputSettledAt": 900863,
"ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
"address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 99999988989,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "910bfb324ace6a6e330a075222ae9f12f5acf00855aee0b4f2e2ca7515414173",
"index": 1,
"amount": 1,
"name": "NOEMIE",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 2,
"amount": 27,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 3,
"amount": 13,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f2d7689ca91e2fbbb702469923ea4b5cdd44bb213da713b7cc08a0f47a2c1a29",
"index": 4,
"amount": 999985990,
"name": "EBT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "32a435f79e2df15875581de7b4233dd41bcf68a00dab7d09259e4d5f10048482",
"index": 5,
"amount": 121000000000,
"name": "BTC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f83e3daa7c3bb1fd8df07b3178284c1d3f3eb1807a1878378be78b5e828ac1ee",
"transactionId": "fb73a80b2ee5eefc704e18316e80d33e245d40de7ff63098f867eda0335b35e7",
"blockId": "ef1551c5d0ea4d1956d6b3ca4dfa8a5d6798877890d4d4d6b3ae15e2144ea593",
"value": 4200000,
"index": 0,
"globalIndex": 24802075,
"creationHeight": 900901,
"settlementHeight": 900903,
"ergoTree": "106c0500040004020e20777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f3305000500010004040400040005c0ac8002040205c8010402050205020e01300e013001000402040c0400050004000580f0b252040204060580f0b252040405020502010004100400040405c0a386010404040001000580e8dd0d0404040a04020500050005000502050205c801051405a09c0105c801058080d287e2bc2d0580dac40905020500050204000402050804060580acc99d0d0500040805d00f040a0580deada9010580897a040e05d00f040004000e206666668ce353fefd146d14b41482d526ebf26a5a7d204f36570c59c558136b83040205c0a38601040204040404040404000406040604060400040805c0a3860104080400010004040408040004020404040404040400040605c0a386010406040001000404040405c0a38601040204000100d82ad601db6308a7d60286028300027300d603b272017301017202d6048c720302d605b272017302017202d6068c720502d6077303d60895ed91720473049172067305eded938c7203017207938c720501c5e4c6a7076393c2a7c2e4c6a707637306d609957208e4c6a70763a7d60ae4c672090908d60bef7208d60ce4c672090811d60db2720c730700d60edb6903db6503fed60f99720d720ed610b2a5730800d611db63087210d612b272117309017202d6138c721201d614c17210d615927214730ad6168c721202d617b2720c730b00d6189c7217730cd619b27211730d017202d61a8c721902d61bc27210d61cc57209d61d9593721bc2a7edededededededed72159372137207927216730e938c721901721c92721a730f93e4c67210040ee4c6a7040e93e4c67210050e731093e4c67210060e731193e4c67210076372097312d61eb2a5731300d61fe4c67209050ed620db6308721ed62190720d720ed622c1a7d623b2720c731400d62493b2720c7315007316d625b272207317017202d6268c722501d6278c722502d628d0720ad62991720d720ed62a957224eded720872298f720e9a720d7318ed72087221eb02ea02720ad1720bd1ececec95ededed720b93b1a4731993b1a5731a92720f731bedededededed721d95ed93b17211731ce6c672100763edededed72159372137207937216720493721a9a9d997204731d7218731e93e4c672100763a7731f93c2721e721f92c1721eb2720c73200093b17220732193c1b2a5732200732393b1db6308b2a57324007325732695edededed72219099720d7327720e93b1a4732893b1a5732993b1db6501fe732ad80fd62b997206721ad62ce4c6a70405d62d99722c7223d62ea2732b9c722d7217d62f8305598602732c732d8602732e732f860273307331860273327333860273347335d630dc0c1aad722fd901305995928c723001720f733673370273387339d631b2722f997230733a00d6328c723102d633b2722f723000d6348c723101d6359a72329d9c998c723302723299720f7234998c7233017234d6369d9c9c9c9c733bb2720c733c00721772237235733dd637a2733e9972369d9c9c7236b2720c733f00a2722d997223722c9c73407223d6389c722b9572249a722e72379a722e9a72379d9c9c7237b2720c73410072357342d639a273439d9c7238b2720c7344007345ededededededededededededededed938cb2db6308b2db6501fe734600734700017348721d937214722293e4c672100763720993c1721e999999c1b2a4734900734a7238723993b17220734b937226721c937227722b93c2b2a5734c00722892c1b2a5734d00723893b1db6308b2a5734e00734f93c2b2a5735000721f92c1b2a5735100723993b1db6308b2a5735200735393c1b2a5735400735593b1db6308b2a57356007357735895ededed722a93b1a4735993b1a5735a93b1db6501fe735bd801d62b9d99721672047218ededededededededed721d93721a720693722672079372279c722b721893b17220735c93c2b2a5735d00722892c1b2a5735e009c9c722b7223721793b1db6308b2a5735f00736093c1b2a5736100736293b1db6308b2a57363007364736595ededed7229ef722a93b17201736693b1a57367ededededed93721b7228937214997222736893b1721173699372137207937216720493b17220736a736b",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 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)\n4: 0\n5: 0\n6: false\n7: 2\n8: 0\n9: 0\n10: 2100000\n11: 1\n12: 100\n13: 1\n14: 1\n15: 1\n16: Coll(48)\n17: Coll(48)\n18: false\n19: 1\n20: 6\n21: 0\n22: 0\n23: 0\n24: 86400000\n25: 1\n26: 3\n27: 86400000\n28: 2\n29: 1\n30: 1\n31: false\n32: 8\n33: 0\n34: 2\n35: 1100000\n36: 2\n37: 0\n38: false\n39: 14400000\n40: 2\n41: 5\n42: 1\n43: 0\n44: 0\n45: 0\n46: 1\n47: 1\n48: 100\n49: 10\n50: 10000\n51: 100\n52: 100000000000000\n53: 10000000\n54: 1\n55: 0\n56: 1\n57: 0\n58: 1\n59: 4\n60: 3\n61: 1775840000\n62: 0\n63: 4\n64: 1000\n65: 5\n66: 177584000\n67: 1000000\n68: 7\n69: 1000\n70: 0\n71: 0\n72: 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)\n73: 1\n74: 1100000\n75: 1\n76: 2\n77: 2\n78: 2\n79: 0\n80: 3\n81: 3\n82: 3\n83: 0\n84: 4\n85: 1100000\n86: 4\n87: 0\n88: false\n89: 2\n90: 4\n91: 0\n92: 1\n93: 2\n94: 2\n95: 2\n96: 0\n97: 3\n98: 1100000\n99: 3\n100: 0\n101: false\n102: 2\n103: 2\n104: 1100000\n105: 1\n106: 0\n107: 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 l4 = tuple3._2\n val tuple5 = coll1.getOrElse(placeholder[Int](2), tuple2)\n val l6 = tuple5._2\n val coll7 = placeholder[Coll[Byte]](3)\n val bool8 = if ((l4 > placeholder[Long](4)) && (l6 > placeholder[Long](5))) {\n ((tuple3._1 == coll7) && (tuple5._1 == SELF.R7[Box].get.id)) && (SELF.propositionBytes == SELF.R7[Box].get.propositionBytes)\n } else { placeholder[Boolean](6) }\n val box9 = if (bool8) { SELF.R7[Box].get } else { SELF }\n val prop10 = box9.R9[SigmaProp].get\n val bool11 = !bool8\n val coll12 = box9.R8[Coll[Long]].get\n val l13 = coll12(placeholder[Int](7))\n val l14 = CONTEXT.preHeader.timestamp\n val l15 = l13 - l14\n val box16 = OUTPUTS(placeholder[Int](8))\n val coll17 = box16.tokens\n val tuple18 = coll17.getOrElse(placeholder[Int](9), tuple2)\n val coll19 = tuple18._1\n val l20 = box16.value\n val bool21 = l20 >= placeholder[Long](10)\n val l22 = tuple18._2\n val l23 = coll12(placeholder[Int](11))\n val l24 = l23 * placeholder[Long](12)\n val tuple25 = coll17.getOrElse(placeholder[Int](13), tuple2)\n val l26 = tuple25._2\n val coll27 = box16.propositionBytes\n val coll28 = box9.id\n val bool29 = if (coll27 == SELF.propositionBytes) {\n (\n (\n (\n ((((bool21 && (coll19 == coll7)) && (l22 >= placeholder[Long](14))) && (tuple25._1 == coll28)) && (l26 >= placeholder[Long](15))) && (\n box16.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get\n )\n ) && (box16.R5[Coll[Byte]].get == placeholder[Coll[Byte]](16))\n ) && (box16.R6[Coll[Byte]].get == placeholder[Coll[Byte]](17))\n ) && (box16.R7[Box].get == box9)\n } else { placeholder[Boolean](18) }\n val box30 = OUTPUTS(placeholder[Int](19))\n val coll31 = box9.R5[Coll[Byte]].get\n val coll32 = box30.tokens\n val bool33 = l13 <= l14\n val l34 = SELF.value\n val l35 = coll12(placeholder[Int](20))\n val bool36 = coll12(placeholder[Int](21)) == placeholder[Long](22)\n val tuple37 = coll32.getOrElse(placeholder[Int](23), tuple2)\n val coll38 = tuple37._1\n val l39 = tuple37._2\n val coll40 = prop10.propBytes\n val bool41 = l13 > l14\n val bool42 = if (bool36) { (bool8 && bool41) && (l14 < l13 + placeholder[Long](24)) } else { bool8 && bool33 }\n prop10 && sigmaProp(bool11) || sigmaProp(\n (\n (\n if (((bool11 && (INPUTS.size == placeholder[Int](25))) && (OUTPUTS.size == placeholder[Int](26))) && (l15 >= placeholder[Long](27))) {\n (\n (\n (\n (\n (\n bool29 && if ((coll17.size == placeholder[Int](28)) && box16.R7[Box].isDefined) {\n (((bool21 && (coll19 == coll7)) && (l22 == l4)) && (l26 == l4 - placeholder[Long](29) / l24 + placeholder[Long](30))) && (\n box16.R7[Box].get == SELF\n )\n } else { placeholder[Boolean](31) }\n ) && (box30.propositionBytes == coll31)\n ) && (box30.value >= coll12(placeholder[Int](32)))\n ) && (coll32.size == placeholder[Int](33))\n ) && (OUTPUTS(placeholder[Int](34)).value == placeholder[Long](35))\n ) && (OUTPUTS(placeholder[Int](36)).tokens.size == placeholder[Int](37))\n } else { placeholder[Boolean](38) } || if ((\n ((bool33 && (l13 - placeholder[Long](39) <= l14)) && (INPUTS.size == placeholder[Int](40))) && (OUTPUTS.size == placeholder[Int](41))\n ) && (CONTEXT.dataInputs.size == placeholder[Int](42))) {(\n val l43 = l6 - l26\n val l44 = SELF.R4[Long].get\n val l45 = l44 - l35\n val l46 = max(placeholder[Long](43), l45 * l23)\n val coll47 = Coll[(Long, Long)](\n (placeholder[Long](44), placeholder[Long](45)), (placeholder[Long](46), placeholder[Long](47)), (placeholder[Long](48), placeholder[Long](49)), (\n placeholder[Long](50), placeholder[Long](51)\n ), (placeholder[Long](52), placeholder[Long](53))\n )\n val i48 = coll47.map({(tuple48: (Long, Long)) => if (tuple48._1 >= l15) { placeholder[Long](54) } else { placeholder[Long](55) } }).indexOf(\n placeholder[Long](56), placeholder[Int](57)\n )\n val tuple49 = coll47(i48 - placeholder[Int](58))\n val l50 = tuple49._2\n val tuple51 = coll47(i48)\n val l52 = tuple49._1\n val l53 = l50 + tuple51._2 - l50 * l15 - l52 / tuple51._1 - l52\n val l54 = placeholder[Long](59) * coll12(placeholder[Int](60)) * l23 * l35 * l53 / placeholder[Long](61)\n val l55 = max(placeholder[Long](62), l54 - l54 * coll12(placeholder[Int](63)) * max(l45, l35 - l44) / placeholder[Long](64) * l35)\n val l56 = l43 * if (bool36) { l46 + l55 } else { l46 + l55 + l55 * coll12(placeholder[Int](65)) * l53 / placeholder[Long](66) }\n val l57 = max(placeholder[Long](67), l56 * coll12(placeholder[Int](68)) / placeholder[Long](69))\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((CONTEXT.dataInputs(placeholder[Int](70)).tokens(placeholder[Int](71))._1 == placeholder[Coll[Byte]](72)) && bool29) && (\n l20 == l34\n )\n ) && (box16.R7[Box].get == box9)\n ) && (box30.value == INPUTS(placeholder[Int](73)).value - placeholder[Long](74) - l56 - l57)\n ) && (coll32.size == placeholder[Int](75))\n ) && (coll38 == coll28)\n ) && (l39 == l43)\n ) && (OUTPUTS(placeholder[Int](76)).propositionBytes == coll40)\n ) && (OUTPUTS(placeholder[Int](77)).value >= l56)\n ) && (OUTPUTS(placeholder[Int](78)).tokens.size == placeholder[Int](79))\n ) && (OUTPUTS(placeholder[Int](80)).propositionBytes == coll31)\n ) && (OUTPUTS(placeholder[Int](81)).value >= l57)\n ) && (OUTPUTS(placeholder[Int](82)).tokens.size == placeholder[Int](83))\n ) && (OUTPUTS(placeholder[Int](84)).value == placeholder[Long](85))\n ) && (OUTPUTS(placeholder[Int](86)).tokens.size == placeholder[Int](87))\n )} else { placeholder[Boolean](88) }\n ) || if (((bool42 && (INPUTS.size == placeholder[Int](89))) && (OUTPUTS.size == placeholder[Int](90))) && (\n CONTEXT.dataInputs.size == placeholder[Int](91)\n )) {(\n val l43 = l22 - l4 / l24\n (\n (\n (\n (\n ((((bool29 && (l26 == l6)) && (coll38 == coll7)) && (l39 == l43 * l24)) && (coll32.size == placeholder[Int](92))) && (\n OUTPUTS(placeholder[Int](93)).propositionBytes == coll40\n )\n ) && (OUTPUTS(placeholder[Int](94)).value >= l43 * l35 * l23)\n ) && (OUTPUTS(placeholder[Int](95)).tokens.size == placeholder[Int](96))\n ) && (OUTPUTS(placeholder[Int](97)).value == placeholder[Long](98))\n ) && (OUTPUTS(placeholder[Int](99)).tokens.size == placeholder[Int](100))\n )} else { placeholder[Boolean](101) }\n ) || if (((bool41 && (!bool42)) && (coll1.size == placeholder[Int](102))) && (OUTPUTS.size == placeholder[Int](103))) {\n (((((coll27 == coll40) && (l20 == l34 - placeholder[Long](104))) && (coll17.size == placeholder[Int](105))) && (coll19 == coll7)) && (l22 == l4)) && (\n coll32.size == placeholder[Int](106)\n )\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 1001,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
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