Transaction
ID: d044ed1cee...d528
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.722 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:
0.721 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 492,640
Total coins transferred: 0.723 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000571 ERG
Raw Transaction Data
{
"id": "d044ed1cee7530ff8ea2bb51edf12dde8288b8d722f4dd6e681c5a1a8b02d528",
"blockId": "0a0818ebeb947a35feefe6a6199008a1a7a86f838659a333a17ce82f130c8b63",
"inclusionHeight": 1269122,
"timestamp": 1716280290491,
"index": 8,
"globalIndex": 7230275,
"numConfirmations": 492640,
"inputs": [
{
"boxId": "b69e13149a8aa73773684e1a3db1c5f14f20c7747d0f353836d3417049eb6222",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b67329d359ff8f8a318ef2702e1569bf2fee8ada19430e2ebd27b1b6612f09ff",
"outputTransactionId": "94d8c01cabf34c9ff92027ed03700c9ad0592f2b2a5905765eeb6c53be47380c",
"outputIndex": 0,
"outputGlobalIndex": 40220988,
"outputCreatedAt": 1269086,
"outputSettledAt": 1269088,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-110,62,116,-58,39,34,96,98,61,100,-38,106,34,126,-43,1,111,75,27,-19,-19,42,21,87,117,-34,71,-35,57,-85,101,17)\n1: 0\n2: Coll(-41,96,58,-60,-85,-65,-117,42,-48,-100,-78,-61,13,-48,66,55,-45,-33,69,-119,54,-117,64,86,41,-107,21,-69,22,19,-88,24)\n3: 0\n4: Coll(55,53,35,3,97,121,-77,94,92,-82,-19,-22,76,1,36,-110,40,-84,-6,96,-9,-8,77,-120,-70,85,3,126,46,-50,37,36)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 1000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 0\n19: 0\n20: 0\n21: 1\n22: 1\n23: 1\n24: 1\n25: 0\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 0\n36: 30000\n37: 1000\n38: 500\n39: false\n40: 1\n41: 720\n42: 2\n43: 1\n44: 0\n45: 0\n46: 720\n47: 0\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 6000\n55: 0\n56: 1000\n57: 500\n58: 1\n59: 0\n60: 1\n61: 1\n62: 1\n63: false\n64: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (\n (\n (\n (\n (\n (\n (((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12(placeholder[Int](14)) == box31.R4[Long].get))\n ) && (coll13 == box31.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](15))\n ) && (l15 == l33)\n ) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](18)) == coll17(placeholder[Int](19)) + coll31.fold(placeholder[Long](20), {(tuple33: (Long, Box)) =>\n val box35 = tuple33._2\n val l36 = tuple33._1\n if ((box35.R4[Long].get == coll17(placeholder[Int](21))) && (box35.R5[Coll[Byte]].get == coll18)) { l36 + box35.tokens(placeholder[Int](22))._2 } else { l36 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll17.slice(placeholder[Int](24), i32)))) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](25), {(tuple33: (Long, Box)) => tuple33._1 + tuple33._2.tokens(placeholder[Int](26))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](27), {(tuple33: (Long, Box)) =>\n val box35 = tuple33._2\n val l36 = tuple33._1\n if (box35.R9[Int].get == placeholder[Int](28)) { l36 + box35.tokens(placeholder[Int](29))._2 } else { l36 }\n }))) && coll31.forall({(box33: Box) =>\n val coll35 = box33.tokens\n ((coll35(placeholder[Int](30))._1 == coll21) && (coll35(placeholder[Int](31))._1 == coll3)) && (box33.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box33: Box) => box33.tokens.forall({(tuple35: (Coll[Byte], Long)) => tuple35._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](32))\n val tuple32 = box31.tokens(placeholder[Int](33))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](34))\n val tuple36 = box35.tokens(placeholder[Int](35))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](36)) { l20 * placeholder[Long](37) / l19 > placeholder[Long](38) } else { placeholder[Boolean](39) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](40))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](41)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](42)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](43)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](44))) && (l15 == placeholder[Long](45))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](46))) && ((coll12(placeholder[Int](47)) == placeholder[Long](48)) && (coll12(placeholder[Int](49)) == placeholder[Long](50)))) && (l14 == placeholder[Long](51))) && (l16 == placeholder[Long](52))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](53))\n if ((l19 > placeholder[Long](54)) && (coll17(placeholder[Int](55)) * placeholder[Long](56) / l19 > placeholder[Long](57))) {(\n val box32 = OUTPUTS(placeholder[Int](58))\n val tuple33 = box32.tokens(placeholder[Int](59))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](60)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](61), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](62)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](63) && (HEIGHT > placeholder[Int](64)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "df87864037f7a21a035c855ed1ef53929e65a0826853145f105f24b059881659",
"index": 0,
"amount": 8999999100000000,
"name": "fCounterNFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e20c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05e4e59a01",
"sigmaType": "SLong",
"renderedValue": "1268082"
}
}
},
{
"boxId": "cb84eea3178be2993b8bea86ba98f6cb25ea00ce4f824f805e09f2108a240ae5",
"value": 722000000,
"index": 1,
"spendingProof": "6f043cd64e8d18e7f53da492b9427396341f3f78c69cc35ae8acf284385daa6d18b6d49a778b3908709c3236a70032fd032aaa13eab3a1d0",
"outputBlockId": "7ff54298c94c21ae6a3816d2eb04d5f7a5c732ff1656ca6ac02c9bb09020eb2d",
"outputTransactionId": "884b22015be570ed8dc84e0fda3d4da36f9ba922559bb33d368b66c982e0e120",
"outputIndex": 1,
"outputGlobalIndex": 40195329,
"outputCreatedAt": 1268340,
"outputSettledAt": 1268342,
"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": "1afe2a1d9044f407750930ab319da9696331158fa41e4499d535ce9f8a447d16",
"transactionId": "d044ed1cee7530ff8ea2bb51edf12dde8288b8d722f4dd6e681c5a1a8b02d528",
"blockId": "0a0818ebeb947a35feefe6a6199008a1a7a86f838659a333a17ce82f130c8b63",
"value": 1000000,
"index": 0,
"globalIndex": 40222329,
"creationHeight": 1269120,
"settlementHeight": 1269122,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-110,62,116,-58,39,34,96,98,61,100,-38,106,34,126,-43,1,111,75,27,-19,-19,42,21,87,117,-34,71,-35,57,-85,101,17)\n1: 0\n2: Coll(-41,96,58,-60,-85,-65,-117,42,-48,-100,-78,-61,13,-48,66,55,-45,-33,69,-119,54,-117,64,86,41,-107,21,-69,22,19,-88,24)\n3: 0\n4: Coll(55,53,35,3,97,121,-77,94,92,-82,-19,-22,76,1,36,-110,40,-84,-6,96,-9,-8,77,-120,-70,85,3,126,46,-50,37,36)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 1000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 0\n19: 0\n20: 0\n21: 1\n22: 1\n23: 1\n24: 1\n25: 0\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 0\n36: 30000\n37: 1000\n38: 500\n39: false\n40: 1\n41: 720\n42: 2\n43: 1\n44: 0\n45: 0\n46: 720\n47: 0\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 6000\n55: 0\n56: 1000\n57: 500\n58: 1\n59: 0\n60: 1\n61: 1\n62: 1\n63: false\n64: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (\n (\n (\n (\n (\n (\n (((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12(placeholder[Int](14)) == box31.R4[Long].get))\n ) && (coll13 == box31.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](15))\n ) && (l15 == l33)\n ) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](18)) == coll17(placeholder[Int](19)) + coll31.fold(placeholder[Long](20), {(tuple33: (Long, Box)) =>\n val box35 = tuple33._2\n val l36 = tuple33._1\n if ((box35.R4[Long].get == coll17(placeholder[Int](21))) && (box35.R5[Coll[Byte]].get == coll18)) { l36 + box35.tokens(placeholder[Int](22))._2 } else { l36 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll17.slice(placeholder[Int](24), i32)))) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](25), {(tuple33: (Long, Box)) => tuple33._1 + tuple33._2.tokens(placeholder[Int](26))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](27), {(tuple33: (Long, Box)) =>\n val box35 = tuple33._2\n val l36 = tuple33._1\n if (box35.R9[Int].get == placeholder[Int](28)) { l36 + box35.tokens(placeholder[Int](29))._2 } else { l36 }\n }))) && coll31.forall({(box33: Box) =>\n val coll35 = box33.tokens\n ((coll35(placeholder[Int](30))._1 == coll21) && (coll35(placeholder[Int](31))._1 == coll3)) && (box33.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box33: Box) => box33.tokens.forall({(tuple35: (Coll[Byte], Long)) => tuple35._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](32))\n val tuple32 = box31.tokens(placeholder[Int](33))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](34))\n val tuple36 = box35.tokens(placeholder[Int](35))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](36)) { l20 * placeholder[Long](37) / l19 > placeholder[Long](38) } else { placeholder[Boolean](39) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](40))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](41)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](42)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](43)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](44))) && (l15 == placeholder[Long](45))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](46))) && ((coll12(placeholder[Int](47)) == placeholder[Long](48)) && (coll12(placeholder[Int](49)) == placeholder[Long](50)))) && (l14 == placeholder[Long](51))) && (l16 == placeholder[Long](52))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](53))\n if ((l19 > placeholder[Long](54)) && (coll17(placeholder[Int](55)) * placeholder[Long](56) / l19 > placeholder[Long](57))) {(\n val box32 = OUTPUTS(placeholder[Int](58))\n val tuple33 = box32.tokens(placeholder[Int](59))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](60)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](61), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](62)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](63) && (HEIGHT > placeholder[Int](64)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "df87864037f7a21a035c855ed1ef53929e65a0826853145f105f24b059881659",
"index": 0,
"amount": 8999999100000000,
"name": "fCounterNFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e20c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c571884848fbcd43d9ed9c803cf421c53f75e71a0e8f6741572fc0cdadca652f"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0584f19a01",
"sigmaType": "SLong",
"renderedValue": "1268802"
}
},
"spentTransactionId": "1683daffb6080b0d49efda2e14fad50721fd7574d3f79708ce09b8978aeb4ddc",
"mainChain": true
},
{
"boxId": "eb55ed9d1b8cb7667362ce3f06b781141dce33094d8eb4233d387afeda28ef3a",
"transactionId": "d044ed1cee7530ff8ea2bb51edf12dde8288b8d722f4dd6e681c5a1a8b02d528",
"blockId": "0a0818ebeb947a35feefe6a6199008a1a7a86f838659a333a17ce82f130c8b63",
"value": 721000000,
"index": 1,
"globalIndex": 40222330,
"creationHeight": 1269120,
"settlementHeight": 1269122,
"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": "1683daffb6080b0d49efda2e14fad50721fd7574d3f79708ce09b8978aeb4ddc",
"mainChain": true
},
{
"boxId": "54d1bbee98f37ab16526127f07cc9698568c55002bbc56ccb1ace7021efa1088",
"transactionId": "d044ed1cee7530ff8ea2bb51edf12dde8288b8d722f4dd6e681c5a1a8b02d528",
"blockId": "0a0818ebeb947a35feefe6a6199008a1a7a86f838659a333a17ce82f130c8b63",
"value": 1000000,
"index": 2,
"globalIndex": 40222331,
"creationHeight": 1269120,
"settlementHeight": 1269122,
"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": "d932d7c69924fc40ea94d66d79a0078c6aeaca174a030ebf50c95e3b1a67d3f4",
"mainChain": true
}
],
"size": 1752,
"isUnconfirmed": false
}