Transaction
ID: 2723394d7a...a122
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.597 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.596 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 379,720
Total coins transferred: 0.598 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000533 ERG
Raw Transaction Data
{
"id": "2723394d7a68d67c234c557f1d401b52c15681846c11af2027e9440289c2a122",
"blockId": "763b46222287a2026ac2f6d9af731a83b541a4fc0dda01f81f3366e2cece02ee",
"inclusionHeight": 1390236,
"timestamp": 1730947970447,
"index": 9,
"globalIndex": 8010046,
"numConfirmations": 379720,
"inputs": [
{
"boxId": "1b1bd50c751f8c009bde2d7a2a4e2195ca05d00f34e29a0efeb3d84e4eb5a1d2",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2145d03abed7875be67dec9e1f2baaba871970f68b5febd5251324c828b6dbd8",
"outputTransactionId": "8bdc6b46be50d3c50ce292cfb236c28eeefd44eb5e82fd1c2242a24611fa5ae1",
"outputIndex": 0,
"outputGlobalIndex": 42005981,
"outputCreatedAt": 1324909,
"outputSettledAt": 1324911,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: 0\n3: 1\n4: 2\n5: 0\n6: 2\n7: Coll(-56,48,20,-99,96,-78,-84,39,20,104,53,-53,107,-116,-23,62,87,-25,15,61,57,81,125,58,-32,-101,-118,-72,-3,125,-65,94)\n8: 0\n9: Coll(-69,-115,24,-23,122,81,-35,-69,112,-12,-38,-17,-95,58,15,-8,-57,92,-113,-41,83,-115,-86,-92,-35,-103,-110,-22,-101,-99,15,10)\n10: 0\n11: 360\n12: 360\n13: 30\n14: 0\n15: 0\n16: 1\n17: 100000000\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 0\n27: 0\n28: 1\n29: 1\n30: 1\n31: 0\n32: 1\n33: 0\n34: 0\n35: Coll(10)\n36: 1\n37: 0\n38: 1\n39: 1\n40: 0\n41: 1\n42: 0\n43: 300000000000\n44: 1000\n45: 500\n46: false\n47: 1\n48: 10080\n49: 2\n50: 1\n51: 0\n52: 0\n53: 10080\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 600000000\n60: 0\n61: 1000\n62: 500\n63: 1\n64: 0\n65: 1\n66: 1\n67: 1\n68: false\n69: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val coll4 = SELF.R7[Coll[Long]].get\n val box5 = OUTPUTS(placeholder[Int](1))\n val coll6 = box5.propositionBytes\n val coll7 = SELF.propositionBytes\n val l8 = box5.value\n val l9 = SELF.value\n val coll10 = box5.tokens\n val coll11 = SELF.tokens\n val l12 = box5.R4[Long].get\n val coll13 = box5.R5[Coll[Long]].get\n val coll14 = box5.R6[Coll[Byte]].get\n val coll15 = box5.R7[Coll[Long]].get\n val l16 = coll15(placeholder[Int](2))\n val l17 = coll15(placeholder[Int](3))\n val l18 = coll15(placeholder[Int](4))\n val coll19 = box5.R8[Coll[Coll[Byte]]].get\n val coll20 = SELF.R5[Coll[Long]].get\n val coll21 = SELF.R6[Coll[Byte]].get\n val coll22 = SELF.R8[Coll[Coll[Byte]]].get\n val l23 = coll4(placeholder[Int](5))\n val l24 = coll4(placeholder[Int](6))\n val coll25 = placeholder[Coll[Byte]](7)\n val tuple26 = coll11(placeholder[Int](8))\n val coll27 = placeholder[Coll[Byte]](9)\n val tuple28 = coll10(placeholder[Int](10))\n val coll29 = tuple26._1\n val l30 = tuple28._2\n val coll31 = tuple28._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](11)\n val l34 = l33 + placeholder[Long](12)\n sigmaProp(if (l1 < l2 - placeholder[Long](13)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](14))\n val tuple36 = box35.tokens(placeholder[Int](15))\n val l37 = tuple36._2\n ((((((((((((tuple36._1 == coll3) && (l37 > coll4(placeholder[Int](16)))) && (l37 > placeholder[Long](17))) && (coll6 == coll7)) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](18)) == placeholder[Long](19)) && (coll13.slice(placeholder[Int](20), coll13.size) == box35.R4[Coll[Long]].get))) && (coll14 == box35.R5[Coll[Byte]].get)) && (l16 == placeholder[Long](21))) && (l17 == l37)) && (l18 == placeholder[Long](22))) && (coll19 == box35.R7[Coll[Coll[Byte]]].get)\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val coll35 = INPUTS.slice(placeholder[Int](23), INPUTS.size)\n val i36 = coll20.size\n val coll37 = coll20.slice(placeholder[Int](24), i36)\n (((((((((((coll6 == coll7) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](25)) == coll20(placeholder[Int](26)) + coll35.fold(placeholder[Long](27), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (((box40.R4[Coll[Long]].get == coll37) && (box40.R5[Coll[Byte]].get == coll21)) && \n val coll42 = box40.R9[Coll[Coll[Byte]]].get\n coll42.slice(placeholder[Int](28), coll42.size) == coll22\n ) { l41 + box40.tokens(placeholder[Int](29))._2 } else { l41 }\n })) && (coll13.slice(placeholder[Int](30), i36) == coll37))) && (i36 == coll13.size)) && (coll14 == coll21)) && (l16 == coll35.fold(placeholder[Long](31), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](32))._2 }) + l23)) && (l18 == l24 + coll35.fold(placeholder[Long](33), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == placeholder[Coll[Byte]](35)) { l41 + box40.tokens(placeholder[Int](36))._2 } else { l41 }\n }))) && coll35.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](37))._1 == coll25) && (coll40(placeholder[Int](38))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll25 }) })) && (coll22 == coll19)\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](39))\n val tuple36 = box35.tokens(placeholder[Int](40))\n val coll37 = coll29\n val l38 = l32\n val box39 = OUTPUTS(placeholder[Int](41))\n val tuple40 = box39.tokens(placeholder[Int](42))\n val coll41 = coll31\n val l42 = l30\n ((((((((((((((((if (l23 > placeholder[Long](43)) { l24 * placeholder[Long](44) / l23 > placeholder[Long](45) } else { placeholder[Boolean](46) } && ((((tuple36._1 == coll37) && (tuple36._2 == placeholder[Long](47))) && (l38 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](48)))) && (blake2b256(box39.propositionBytes) == coll27)) && ((tuple40._1 == coll37) && (tuple40._2 == placeholder[Long](49)))) && (box35.R4[Coll[Long]].get == box39.R4[Coll[Long]].get)) && (box35.R5[Coll[Byte]].get == box39.R5[Coll[Byte]].get)) && (coll6 == coll7)) && (l8 >= l9)) && ((coll41 == coll37) && (l42 == l38 - placeholder[Long](50)))) && (coll10.size == coll11.size)) && (l2 == l12)) && (coll13 == coll20)) && (coll14 == coll21)) && (l16 == l23)) && (l18 == placeholder[Long](51))) && (l17 == placeholder[Long](52))) && (coll19 == coll22)) && (box35.R8[Coll[Coll[Byte]]].get == box39.R8[Coll[Coll[Byte]]].get)\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll6 == coll7) && (l8 >= l9)) && (l12 == l2 + placeholder[Long](53))) && (coll13(placeholder[Int](54)) == placeholder[Long](55))) && (l16 == placeholder[Long](56))) && (l18 == placeholder[Long](57))) && (coll10.size == coll11.size)) && (l17 == placeholder[Long](58))\n if ((l23 > placeholder[Long](59)) && (coll20(placeholder[Int](60)) * placeholder[Long](61) / l23 > placeholder[Long](62))) {(\n val box36 = OUTPUTS(placeholder[Int](63))\n val tuple37 = box36.tokens(placeholder[Int](64))\n (((((((bool35 && (blake2b256(box36.propositionBytes) == coll27)) && ((tuple37._1 == coll29) && (tuple37._2 == placeholder[Long](65)))) && (box36.R4[Coll[Long]].get == coll20.slice(placeholder[Int](66), coll20.size))) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll21)) && (box36.R7[Long].get == l2)) && ((coll31 == coll29) && (l30 == l32 - placeholder[Long](67)))) && (box36.R8[Coll[Coll[Byte]]].get == coll22)\n )} else { bool35 && (coll10 == coll11) }\n )} else { placeholder[Boolean](68) && (HEIGHT > placeholder[Int](69)) } } } })\n}",
"address": "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",
"assets": [
{
"tokenId": "8d8295315daa229d5c4271c61a5b66d4d2e6ff6081ad9e264366dd262ec901a5",
"index": 0,
"amount": 20000,
"name": "Counter Box Token - Params",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e206f06df3c298408925bf71a76778bc5a9c5ec551065c82ef608f531887d424d74",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f06df3c298408925bf71a76778bc5a9c5ec551065c82ef608f531887d424d74"
},
"R8": {
"serializedValue": "1a01010a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0a]"
},
"R7": {
"serializedValue": "110380bf92fc9f1e0080bf92fc9f1e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[519687000000,0,519687000000]"
},
"R4": {
"serializedValue": "05c0dca101",
"sigmaType": "SLong",
"renderedValue": "1324832"
}
}
},
{
"boxId": "6ea18d6c9aa3d3a25323283a8a501d3a6ad50c1ab4ecee9a5d9168f308f2fe32",
"value": 597000000,
"index": 1,
"spendingProof": "bbacaab8204e2b2a706736a576db0b9a88ea6f365beb1edf9272cab2188593c876479a264cbd08465f87c75ef059f7fa5c3514575c929473",
"outputBlockId": "afd42062c9f62b7d35b53a822a09561dbdba40e71f6e5ee323890c525b8b2605",
"outputTransactionId": "580edcb53b7c2a56edbd0f4ad5d0033d8e2a2663d7970bd5d28d0d74c80bfd51",
"outputIndex": 1,
"outputGlobalIndex": 43685815,
"outputCreatedAt": 1390231,
"outputSettledAt": 1390233,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604c901ea027300d192a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -101",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT >= placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P17LFEn2JjiisG6bRJDHnC2",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "bdbb8aa0086bc8d5f4a6b49b8cc85a8b26dfa19e8b413982bd00852fe72bcba0",
"transactionId": "2723394d7a68d67c234c557f1d401b52c15681846c11af2027e9440289c2a122",
"blockId": "763b46222287a2026ac2f6d9af731a83b541a4fc0dda01f81f3366e2cece02ee",
"value": 1000000,
"index": 0,
"globalIndex": 43685855,
"creationHeight": 1390234,
"settlementHeight": 1390236,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: 0\n3: 1\n4: 2\n5: 0\n6: 2\n7: Coll(-56,48,20,-99,96,-78,-84,39,20,104,53,-53,107,-116,-23,62,87,-25,15,61,57,81,125,58,-32,-101,-118,-72,-3,125,-65,94)\n8: 0\n9: Coll(-69,-115,24,-23,122,81,-35,-69,112,-12,-38,-17,-95,58,15,-8,-57,92,-113,-41,83,-115,-86,-92,-35,-103,-110,-22,-101,-99,15,10)\n10: 0\n11: 360\n12: 360\n13: 30\n14: 0\n15: 0\n16: 1\n17: 100000000\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 0\n27: 0\n28: 1\n29: 1\n30: 1\n31: 0\n32: 1\n33: 0\n34: 0\n35: Coll(10)\n36: 1\n37: 0\n38: 1\n39: 1\n40: 0\n41: 1\n42: 0\n43: 300000000000\n44: 1000\n45: 500\n46: false\n47: 1\n48: 10080\n49: 2\n50: 1\n51: 0\n52: 0\n53: 10080\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 600000000\n60: 0\n61: 1000\n62: 500\n63: 1\n64: 0\n65: 1\n66: 1\n67: 1\n68: false\n69: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val coll4 = SELF.R7[Coll[Long]].get\n val box5 = OUTPUTS(placeholder[Int](1))\n val coll6 = box5.propositionBytes\n val coll7 = SELF.propositionBytes\n val l8 = box5.value\n val l9 = SELF.value\n val coll10 = box5.tokens\n val coll11 = SELF.tokens\n val l12 = box5.R4[Long].get\n val coll13 = box5.R5[Coll[Long]].get\n val coll14 = box5.R6[Coll[Byte]].get\n val coll15 = box5.R7[Coll[Long]].get\n val l16 = coll15(placeholder[Int](2))\n val l17 = coll15(placeholder[Int](3))\n val l18 = coll15(placeholder[Int](4))\n val coll19 = box5.R8[Coll[Coll[Byte]]].get\n val coll20 = SELF.R5[Coll[Long]].get\n val coll21 = SELF.R6[Coll[Byte]].get\n val coll22 = SELF.R8[Coll[Coll[Byte]]].get\n val l23 = coll4(placeholder[Int](5))\n val l24 = coll4(placeholder[Int](6))\n val coll25 = placeholder[Coll[Byte]](7)\n val tuple26 = coll11(placeholder[Int](8))\n val coll27 = placeholder[Coll[Byte]](9)\n val tuple28 = coll10(placeholder[Int](10))\n val coll29 = tuple26._1\n val l30 = tuple28._2\n val coll31 = tuple28._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](11)\n val l34 = l33 + placeholder[Long](12)\n sigmaProp(if (l1 < l2 - placeholder[Long](13)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](14))\n val tuple36 = box35.tokens(placeholder[Int](15))\n val l37 = tuple36._2\n ((((((((((((tuple36._1 == coll3) && (l37 > coll4(placeholder[Int](16)))) && (l37 > placeholder[Long](17))) && (coll6 == coll7)) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](18)) == placeholder[Long](19)) && (coll13.slice(placeholder[Int](20), coll13.size) == box35.R4[Coll[Long]].get))) && (coll14 == box35.R5[Coll[Byte]].get)) && (l16 == placeholder[Long](21))) && (l17 == l37)) && (l18 == placeholder[Long](22))) && (coll19 == box35.R7[Coll[Coll[Byte]]].get)\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val coll35 = INPUTS.slice(placeholder[Int](23), INPUTS.size)\n val i36 = coll20.size\n val coll37 = coll20.slice(placeholder[Int](24), i36)\n (((((((((((coll6 == coll7) && (l8 >= l9)) && (coll10 == coll11)) && (l2 == l12)) && ((coll13(placeholder[Int](25)) == coll20(placeholder[Int](26)) + coll35.fold(placeholder[Long](27), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (((box40.R4[Coll[Long]].get == coll37) && (box40.R5[Coll[Byte]].get == coll21)) && \n val coll42 = box40.R9[Coll[Coll[Byte]]].get\n coll42.slice(placeholder[Int](28), coll42.size) == coll22\n ) { l41 + box40.tokens(placeholder[Int](29))._2 } else { l41 }\n })) && (coll13.slice(placeholder[Int](30), i36) == coll37))) && (i36 == coll13.size)) && (coll14 == coll21)) && (l16 == coll35.fold(placeholder[Long](31), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](32))._2 }) + l23)) && (l18 == l24 + coll35.fold(placeholder[Long](33), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == placeholder[Coll[Byte]](35)) { l41 + box40.tokens(placeholder[Int](36))._2 } else { l41 }\n }))) && coll35.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](37))._1 == coll25) && (coll40(placeholder[Int](38))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll25 }) })) && (coll22 == coll19)\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](39))\n val tuple36 = box35.tokens(placeholder[Int](40))\n val coll37 = coll29\n val l38 = l32\n val box39 = OUTPUTS(placeholder[Int](41))\n val tuple40 = box39.tokens(placeholder[Int](42))\n val coll41 = coll31\n val l42 = l30\n ((((((((((((((((if (l23 > placeholder[Long](43)) { l24 * placeholder[Long](44) / l23 > placeholder[Long](45) } else { placeholder[Boolean](46) } && ((((tuple36._1 == coll37) && (tuple36._2 == placeholder[Long](47))) && (l38 == box35.R6[Long].get)) && (box35.R7[Long].get == l2 - placeholder[Long](48)))) && (blake2b256(box39.propositionBytes) == coll27)) && ((tuple40._1 == coll37) && (tuple40._2 == placeholder[Long](49)))) && (box35.R4[Coll[Long]].get == box39.R4[Coll[Long]].get)) && (box35.R5[Coll[Byte]].get == box39.R5[Coll[Byte]].get)) && (coll6 == coll7)) && (l8 >= l9)) && ((coll41 == coll37) && (l42 == l38 - placeholder[Long](50)))) && (coll10.size == coll11.size)) && (l2 == l12)) && (coll13 == coll20)) && (coll14 == coll21)) && (l16 == l23)) && (l18 == placeholder[Long](51))) && (l17 == placeholder[Long](52))) && (coll19 == coll22)) && (box35.R8[Coll[Coll[Byte]]].get == box39.R8[Coll[Coll[Byte]]].get)\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll6 == coll7) && (l8 >= l9)) && (l12 == l2 + placeholder[Long](53))) && (coll13(placeholder[Int](54)) == placeholder[Long](55))) && (l16 == placeholder[Long](56))) && (l18 == placeholder[Long](57))) && (coll10.size == coll11.size)) && (l17 == placeholder[Long](58))\n if ((l23 > placeholder[Long](59)) && (coll20(placeholder[Int](60)) * placeholder[Long](61) / l23 > placeholder[Long](62))) {(\n val box36 = OUTPUTS(placeholder[Int](63))\n val tuple37 = box36.tokens(placeholder[Int](64))\n (((((((bool35 && (blake2b256(box36.propositionBytes) == coll27)) && ((tuple37._1 == coll29) && (tuple37._2 == placeholder[Long](65)))) && (box36.R4[Coll[Long]].get == coll20.slice(placeholder[Int](66), coll20.size))) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll21)) && (box36.R7[Long].get == l2)) && ((coll31 == coll29) && (l30 == l32 - placeholder[Long](67)))) && (box36.R8[Coll[Coll[Byte]]].get == coll22)\n )} else { bool35 && (coll10 == coll11) }\n )} else { placeholder[Boolean](68) && (HEIGHT > placeholder[Int](69)) } } } })\n}",
"address": "46VFYUSGamo79Ukq1z1Kk6vmRkmDJswQfNMkdryunr6vjbUzXzmdWbma1yy7HEdbyeHqvPqaiw58kTAJzhG1QU6NBsfQz3gAtf8J2dx3VJDZQYXSkt634366nMd9e9rtTx5AnQ23pcGMCxr8P2MDSBeLLft8mDvK1cHaaTErXBrvbzf4zzAboyqWdvAo1Gbv6i54cSkuwqTLQAx15TrRDUq4NXx1NgpMsmcUACWC7Ma3QxGyggBmB4MNyVrmjHQktV6hgLpvRj7rf1pQYCmcBQMJ1AjVD9AnaeoV8qpJZ82zTckPheFWWykFXgWw81jSXANerEjPrmD32niXGDVxtAuZ8Wx3thdHKhm1jKCH4W2jnYisyM8odG2Am9Y7V1ybfehCZR4gqm9s458ZCWKU3RYkCps6vHXk2zpKz8EgfMHFhCmGxX4ytYsAo9MmUCbSM8n5Mr3HbTqGpF14iPmSHBphrWueq64FnsqmCnf4EBPtBECRoMgZcPWyjAADeRa9a5pTnZMkY4vMzmxynTMoGNLGFWhnKR3XyTEZjPXG1PsL8yM3GydGyiJs4CYJQ9qTAJErcwjn5cDErmiZhAVYAq6EanTMKjDW4kqXcC7mq4KYTxtK5DxdZzUiHEWCwudPyX9JNEgCznYw9LBXHuNi583hEUWLiBciti7yieid919AzBouUpMLRJqDJw3G36DhyoYk4enwEs3bxKkafpLewH9ugyth5nAWTVc2an1PV42pUbEd24nE6vHNNrd5jcJtNEJHaqwaLwuuj6kk6wWNafwvEdsNyuGaC2tJhJeBw277MG7D9ekd9bx2LXnqMCLaGHK5m1iiypvycw2LM9rcb4GPhQNwB671oGe53k1skVa8Y2S5wiG8AX3t3QPZ2PLXyHAwE4NW4Rgibc3VYsbPTMHJoAC3xZd5Az5xKBHpkgh4WhE7rWJWvrbciZCq5wuNTkaoBTeBw7kUMHoWEYYieLyDsxmrGch9cTdVoiexjLFJWXGWtUzgeS8mZARDHQGuxc1aCRLyTBx7An2hW32N9tpBo8HwCgCfmEoWJqWyPQZ7v3FVC4rcCTdvikGkZr7mYf54dxhSwnKNyUafxt8ijMjXvLiWgSE2YgnVzhfMKJT97XT4o8yC5VY8jdUCvtMMDw5uuaKSQm2UkdziE5rudFcZU1XvGwyBgKsLch786Tf9wgwBe9eM77yD1bTmhVgAS2TLP3bFTWdfAkcN1FtMXirgAC3Ro6gJrQ3AeNUAN9uLJTwryYwp4nK1YivLAvgry1iHDs8pvFUmqAde5uACA9qnyPN7RSzwg2ZChAEUXubgbbbP6EdmYSJBTpy2DjeTcnsjBKWPZK8gqa4GD4nNNf7rYn6e2LH4qrGEN9ZZKoxu8CUoDVjPJBY67gqnhmCQj9rJGFjeGmL8c5mRbsDC9AaR5Lv7Nq9uJt8wf7u7qLGh7c1FivyJkotPF1YcdoC3FJgt7AytPHYoZd4FDpAn1FVJpXGGWW9byBbryagXQie98VbtzwsiQWN67fXJBTvbaDXbdHDNkkTgJDShMvRx2oiQ9UxJ557buAuhKMXze1wxLE9FsFg7zgfJNP45diztVkLf4dmfNRGhjt62vW8gtZvnMpVEFd6MU4myXaSvimJZ6VJwfN66PUa5aeJttD6SpTtXFCMucE5jYrYCe2dTZhJixdWXgGP8hhfDnZT6g8nxTjDoSqpz4DDL2mWh7NMitizwZWQj7mE2KcmsPCAk266Y5CAV8Fw2YxtJ5bcMcRYTRjyKQc6QtTkTxfisJSH3EhEAaUp54nok8VqLZqkTGMmYfbPjQY1VNWc8TrvSTuAqcqmhjS2ow5RLdrhC7BeRgd9EC35V7dEtzy7dKb6Z6tiFs4ZT3d1qMHC6ehrtbd4ozYw9Ce4pE9Coe2L1EveQ2pAj4QYgoZhwMsYWERBb5u5DnznSVRGUQcX42h8BdkG9Dfb4gzGhwEBexZsBNgJ7PuMLuDGToWRVQBkFtKktCftyDkqvUb3CzaojKmKPWCrTR",
"assets": [
{
"tokenId": "8d8295315daa229d5c4271c61a5b66d4d2e6ff6081ad9e264366dd262ec901a5",
"index": 0,
"amount": 20000,
"name": "Counter Box Token - Params",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e206f06df3c298408925bf71a76778bc5a9c5ec551065c82ef608f531887d424d74",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f06df3c298408925bf71a76778bc5a9c5ec551065c82ef608f531887d424d74"
},
"R8": {
"serializedValue": "1a01010a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0a]"
},
"R7": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R4": {
"serializedValue": "0580faa201",
"sigmaType": "SLong",
"renderedValue": "1334912"
}
},
"spentTransactionId": "3cbe5d14eaaff49778fde824c2b17ecaaa686fcacc90ef3e850e9e65e40f1c0c",
"mainChain": true
},
{
"boxId": "8476181cc793184e69253bd0fe07d83cf8aefe7890a5a3e6a3a856ff3569f01e",
"transactionId": "2723394d7a68d67c234c557f1d401b52c15681846c11af2027e9440289c2a122",
"blockId": "763b46222287a2026ac2f6d9af731a83b541a4fc0dda01f81f3366e2cece02ee",
"value": 596000000,
"index": 1,
"globalIndex": 43685856,
"creationHeight": 1390234,
"settlementHeight": 1390236,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604c901ea027300d192a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -101",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT >= placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P17LFEn2JjiisG6bRJDHnC2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "3cbe5d14eaaff49778fde824c2b17ecaaa686fcacc90ef3e850e9e65e40f1c0c",
"mainChain": true
},
{
"boxId": "ecdfecd4c37ccd83df81696ed14cf6981be78e0efaeceedd8308594f15afd084",
"transactionId": "2723394d7a68d67c234c557f1d401b52c15681846c11af2027e9440289c2a122",
"blockId": "763b46222287a2026ac2f6d9af731a83b541a4fc0dda01f81f3366e2cece02ee",
"value": 1000000,
"index": 2,
"globalIndex": 43685857,
"creationHeight": 1390234,
"settlementHeight": 1390236,
"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": "7bd25a45adaa8f1c8382c43b3defcc880cd1f24e1bdabe27cf1a41d5a7f13c6e",
"mainChain": true
}
],
"size": 1877,
"isUnconfirmed": false
}