Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
114.09 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.557323048 ERG
Outputs (2)
Spent in transaction:
Settlement height:
Value:
114.65 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.52 KB
Received time: 7/18/2023 05:52:27 AM
Included in blocks: 1,049,541
Confirmations: 711,489
Total coins transferred: 114.65 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000644 ERG
Raw Transaction Data
{
  "id": "22e7932005b20e8abdce0971b3713f83dcce17a967aef5022091f29bdbbec79c",
  "blockId": "2ea0e5d34167bf782ec43189896d31c0c816090af2af0a3ecf8ab9f9dc0579a1",
  "inclusionHeight": 1049541,
  "timestamp": 1689659547890,
  "index": 11,
  "globalIndex": 5537652,
  "numConfirmations": 711489,
  "inputs": [
    {
      "boxId": "08d9319e9de856b0cff23525b794c0f1c038b2535eae37e8be6594e9f6678538",
      "value": 114094273297,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "c87c75fa2183e836e99f852130387070213b65200aee8f878977377e707cc0ef",
      "outputTransactionId": "440029e0da23353ce848d5ef25711be9a99e057d5533a5f4f2301e93cb4f9af5",
      "outputIndex": 0,
      "outputGlobalIndex": 31037388,
      "outputCreatedAt": 1049529,
      "outputSettledAt": 1049531,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1000000\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 9000000000000000\n9: 9000000000000000\n10: Coll(-73,114,-99,63,-75,-94,80,66,31,70,54,-38,-63,61,-61,-71,-42,-65,17,16,-65,-66,64,-39,93,-110,-124,-34,-91,47,-85,24)\n11: CBigInt(1000000000000000)\n12: 0\n13: -1\n14: 1\n15: 1\n16: 1\n17: 0\n18: 2\n19: 0\n20: 3\n21: 0\n22: 0\n23: 1000\n24: 2\n25: 1\n26: -1\n27: 0\n28: Coll(72,-42,-69,70,81,2,-84,113,-105,113,-25,-84,-109,-79,125,115,-70,91,-99,-94,-8,-88,126,-104,54,-19,-98,13,-52,51,96,-61)\n29: 1000000\n30: 2\n31: CBigInt(100)\n32: 4000000\n33: 50000000\n34: 1\n35: 500000\n36: 0\n37: Coll(107,-61,89,81,79,48,79,89,-94,-128,113,95,5,-60,-71,-58,-70,-62,2,51,111,-106,-69,92,-1,103,-106,-65,19,111,40,0)\n38: 0\n39: Coll(16,24,-7,-119,-51,-97,-28,78,43,92,-25,-15,-106,-98,88,119,-4,-15,37,-3,115,-69,-23,-123,-126,41,-6,50,42,27,-54,-64)\n40: 0\n41: 0\n42: 9000000001000000\n43: 9000000001000000\n44: 0\n45: 1\n46: 0\n47: 20000000000\n48: 160\n49: 200000000000\n50: 20000000000\n51: 200\n52: 20000000000\n53: 160\n54: 200000000000\n55: 20000000000\n56: 250\n57: 200000000000\n58: 200\n59: 20000000000\n60: 160\n61: 0\n62: false",
      "ergoTreeScript": "{\n  val coll1 = CONTEXT.dataInputs\n  val i2 = coll1.size\n  val box3 = OUTPUTS(placeholder[Int](0))\n  val l4 = box3.value\n  val l5 = SELF.value\n  val l6 = l4 - l5\n  val bool7 = box3.propositionBytes == SELF.propositionBytes\n  val i8 = placeholder[Int](1)\n  val bool9 = l4 >= i8.toLong\n  val coll10 = box3.tokens\n  val coll11 = SELF.tokens\n  val bool12 = coll10(placeholder[Int](2)) == coll11(placeholder[Int](3))\n  val tuple13 = coll10(placeholder[Int](4))\n  val tuple14 = coll11(placeholder[Int](5))\n  val bool15 = tuple13 == tuple14\n  val tuple16 = coll10(placeholder[Int](6))\n  val tuple17 = coll11(placeholder[Int](7))\n  val coll18 = tuple17._1\n  val bool19 = tuple16._1 == coll18\n  val l20 = placeholder[Long](8) - tuple16._2\n  val l21 = placeholder[Long](9) - tuple17._2\n  val l22 = l20 - l21\n  val coll23 = placeholder[Coll[Byte]](10)\n  val bi24 = placeholder[BigInt](11)\n  val bool25 = l6 > placeholder[Long](12)\n  val l26 = if (bool25) { l6 } else { l6 * placeholder[Long](13) }\n  if (i2 > placeholder[Int](14)) {(\n    val box27 = OUTPUTS(placeholder[Int](15))\n    val coll28 = box27.tokens\n    val tuple29 = coll28(placeholder[Int](16))\n    val l30 = tuple29._2\n    val box31 = coll1(placeholder[Int](17))\n    val coll32 = box31.tokens\n    val tuple33 = coll32(placeholder[Int](18))\n    val tuple34 = coll28(placeholder[Int](19))\n    val coll35 = tuple34._1\n    val box36 = coll1(placeholder[Int](20))\n    val coll37 = coll32(placeholder[Int](21))._1\n    val i38 = box36.R6[Coll[Coll[Byte]]].get.indexOf(coll37, placeholder[Int](22))\n    val bi39 = tuple34._2.toBigInt\n    val bi40 = box31.R4[Int].get.toBigInt\n    val bi41 = tuple33._2.toBigInt\n    val i42 = placeholder[Int](23)\n    val l43 = box36.R4[Coll[Long]].get(i38)\n    val tuple44 = box27.R5[(Int, Int)].get\n    val box45 = coll1(placeholder[Int](24))\n    val box46 = coll1(placeholder[Int](25))\n    val i47 = box46.R4[Coll[Long]].get.size\n    val l48 = box27.R9[Long].get\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (\n                                      (\n                                        ((((bool7 && (l6 * placeholder[Long](26) == l30)) && (l6 < placeholder[Long](27))) && bool9) && bool12) && bool15\n                                      ) && bool19\n                                    ) && (l22 == l30)\n                                  ) && (blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](28))\n                                ) && (box27.value >= i8.toLong + placeholder[Long](29))\n                              ) && (\n                                ((tuple33._1 == coll35) && (coll35 == box36.R5[Coll[Coll[Byte]]].get(i38))) && (\n                                  box31.value.toBigInt * bi39 * bi40 / bi41 + bi41 * placeholder[Int](30).toBigInt / placeholder[BigInt](\n                                    31\n                                  ) * i42.toBigInt + bi39 * bi40 - placeholder[Int](32).toBigInt >= l30.toBigInt * l43.toBigInt / i42.toBigInt\n                                )\n                              )\n                            ) && (tuple29._1 == coll18)\n                          ) && (l30 >= placeholder[Long](33))\n                        ) && box27.R4[Coll[Byte]].isDefined\n                      ) && (tuple44._2 == box45.R4[Coll[Long]].get.size - placeholder[Int](34))\n                    ) && (tuple44._1 == i47)\n                  ) && (box27.R6[(Long, Long)].get == (l43, box36.R7[Coll[Long]].get(i38)))\n                ) && (box27.R7[Coll[Byte]].get == coll37)\n              ) && box27.R8[GroupElement].isDefined\n            ) && ((l48 > HEIGHT.toLong) && (l48 < HEIGHT + placeholder[Int](35).toLong))\n          ) && ((box45.tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) && (box45.R6[Int].get == i47))\n        ) && (box46.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39))\n      ) && (box36.tokens(placeholder[Int](40))._1 == coll23)\n    )\n  )} else {\n    sigmaProp(\n      (((((bool7 && bool12) && bool15) && bool19) && bool25) && (l22 < placeholder[Long](41))) || (\n        (\n          ((((bool7 && bool12) && (tuple13._1 == tuple14._1)) && bool9) && (tuple16 == tuple17)) && (\n            bi24 * l4.toBigInt + l20.toBigInt / placeholder[Long](42) - tuple13._2.toBigInt > bi24 * l5.toBigInt + l21.toBigInt / placeholder[Long](\n              43\n            ) - tuple14._2.toBigInt\n          )\n        ) && if (i2 > placeholder[Int](44)) {(\n          val box27 = OUTPUTS(placeholder[Int](45))\n          val box28 = coll1(placeholder[Int](46))\n          (\n            (box27.propositionBytes == box28.R8[Coll[Byte]].get) && (\n              box27.value >= max(\n                if (l26 <= placeholder[Long](47)) { l26 / placeholder[Int](48).toLong } else {\n                  if (l26 <= placeholder[Long](49)) {\n                    l26 - placeholder[Long](50) / placeholder[Int](51).toLong + placeholder[Long](52) / placeholder[Int](53).toLong\n                  } else {\n                    l26 - placeholder[Long](54) - placeholder[Long](55) / placeholder[Int](56).toLong + placeholder[Long](57) / placeholder[Int](\n                      58\n                    ).toLong + placeholder[Long](59) / placeholder[Int](60).toLong\n                  }\n                }, i8.toLong\n              )\n            )\n          ) && (box28.tokens(placeholder[Int](61))._1 == coll23)\n        )} else { placeholder[Boolean](62) }\n      )\n    )\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0fb99c6b018b414a39fde28747cfa0233810a63b7b1cb1b1a555e05b69e62bb4",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT ERG-0a",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "00a030f66ecd81dc1682aabeb57b6b3f580214d3112c63c5218284409b171bc4",
          "index": 1,
          "amount": 8999875397478976,
          "name": "Lend Token ERG-0a",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "a6d2a738daced36669fe9e2c7785a1290d462c9cf3d3ff8c368bef4d8c29a7ac",
          "index": 2,
          "amount": 8999988321875000,
          "name": "Borrow Token ERG-0a",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "6be51a8d6a42f65c3c9edb39597ec60c9fb820b6d706ea3136b981c2888621c8",
      "value": 557323048,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "efe43c438c413f121d5e336fdab87985c2f3c437ab3829e21f4a49d6cf5b22df",
      "outputTransactionId": "c973a0ebbed5a9c16254b304687b9164efd0f032af552476e43bfe1b7e3f1200",
      "outputIndex": 1,
      "outputGlobalIndex": 31037718,
      "outputCreatedAt": 1049537,
      "outputSettledAt": 1049539,
      "ergoTree": "100c04000e200fb99c6b018b414a39fde28747cfa0233810a63b7b1cb1b1a555e05b69e62bb40400040004000580897a058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d805d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d1edededed938cb27202730300017203938cb272057304000172039299c17201c1720499c1a7730593999973068cb27205730700029973088cb27202730900028cb2db6308a7730a000293b2a4730b00a7",
      "ergoTreeConstants": "0: 0\n1: Coll(15,-71,-100,107,1,-117,65,74,57,-3,-30,-121,71,-49,-96,35,56,16,-90,59,123,28,-79,-79,-91,85,-32,91,105,-26,43,-76)\n2: 0\n3: 0\n4: 0\n5: 1000000\n6: 9000000000000000\n7: 2\n8: 9000000000000000\n9: 2\n10: 0\n11: 1",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = placeholder[Coll[Byte]](1)\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = box4.tokens\n  sigmaProp(\n    (\n      (\n        ((coll2(placeholder[Int](3))._1 == coll3) && (coll5(placeholder[Int](4))._1 == coll3)) && (box1.value - box4.value >= SELF.value - placeholder[Long](5))\n      ) && (placeholder[Long](6) - coll5(placeholder[Int](7))._2 - placeholder[Long](8) - coll2(placeholder[Int](9))._2 == SELF.tokens(placeholder[Int](10))._2)\n    ) && (INPUTS(placeholder[Int](11)) == SELF)\n  )\n}",
      "address": "YFWk9RGcsrUabtqYeosgpQQuZ2EcpBXYJLkbiA3NovJZ1H8suEw4a4qroc6LPJJm88JtpND7NrJ9Ypw5CPemUNKNbwcvF1wVabpXBoHBbAua1zMa7H1m2akUNQbovLFbYc4EMUKN48BEajRkYK2arAraSLWEGuV5ujRJgBGswvgiVP5aLAADC736k2oEYSim9u6vngvuSj63W7D1dmP5HyYr38GfncUKLyMZGUKtQbDDbBEB6HyoGJjWivTk4889jsU8eZqY",
      "assets": [
        {
          "tokenId": "a6d2a738daced36669fe9e2c7785a1290d462c9cf3d3ff8c368bef4d8c29a7ac",
          "index": 0,
          "amount": 556000000,
          "name": "Borrow Token ERG-0a",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "b13525dd48ad9c42a1454bfb7f3bb00bdb3d3ba410f5ef9bd3289a2ebe48d878",
      "transactionId": "22e7932005b20e8abdce0971b3713f83dcce17a967aef5022091f29bdbbec79c",
      "blockId": "2ea0e5d34167bf782ec43189896d31c0c816090af2af0a3ecf8ab9f9dc0579a1",
      "value": 114650596345,
      "index": 0,
      "globalIndex": 31037796,
      "creationHeight": 1049539,
      "settlementHeight": 1049541,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1000000\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 9000000000000000\n9: 9000000000000000\n10: Coll(-73,114,-99,63,-75,-94,80,66,31,70,54,-38,-63,61,-61,-71,-42,-65,17,16,-65,-66,64,-39,93,-110,-124,-34,-91,47,-85,24)\n11: CBigInt(1000000000000000)\n12: 0\n13: -1\n14: 1\n15: 1\n16: 1\n17: 0\n18: 2\n19: 0\n20: 3\n21: 0\n22: 0\n23: 1000\n24: 2\n25: 1\n26: -1\n27: 0\n28: Coll(72,-42,-69,70,81,2,-84,113,-105,113,-25,-84,-109,-79,125,115,-70,91,-99,-94,-8,-88,126,-104,54,-19,-98,13,-52,51,96,-61)\n29: 1000000\n30: 2\n31: CBigInt(100)\n32: 4000000\n33: 50000000\n34: 1\n35: 500000\n36: 0\n37: Coll(107,-61,89,81,79,48,79,89,-94,-128,113,95,5,-60,-71,-58,-70,-62,2,51,111,-106,-69,92,-1,103,-106,-65,19,111,40,0)\n38: 0\n39: Coll(16,24,-7,-119,-51,-97,-28,78,43,92,-25,-15,-106,-98,88,119,-4,-15,37,-3,115,-69,-23,-123,-126,41,-6,50,42,27,-54,-64)\n40: 0\n41: 0\n42: 9000000001000000\n43: 9000000001000000\n44: 0\n45: 1\n46: 0\n47: 20000000000\n48: 160\n49: 200000000000\n50: 20000000000\n51: 200\n52: 20000000000\n53: 160\n54: 200000000000\n55: 20000000000\n56: 250\n57: 200000000000\n58: 200\n59: 20000000000\n60: 160\n61: 0\n62: false",
      "ergoTreeScript": "{\n  val coll1 = CONTEXT.dataInputs\n  val i2 = coll1.size\n  val box3 = OUTPUTS(placeholder[Int](0))\n  val l4 = box3.value\n  val l5 = SELF.value\n  val l6 = l4 - l5\n  val bool7 = box3.propositionBytes == SELF.propositionBytes\n  val i8 = placeholder[Int](1)\n  val bool9 = l4 >= i8.toLong\n  val coll10 = box3.tokens\n  val coll11 = SELF.tokens\n  val bool12 = coll10(placeholder[Int](2)) == coll11(placeholder[Int](3))\n  val tuple13 = coll10(placeholder[Int](4))\n  val tuple14 = coll11(placeholder[Int](5))\n  val bool15 = tuple13 == tuple14\n  val tuple16 = coll10(placeholder[Int](6))\n  val tuple17 = coll11(placeholder[Int](7))\n  val coll18 = tuple17._1\n  val bool19 = tuple16._1 == coll18\n  val l20 = placeholder[Long](8) - tuple16._2\n  val l21 = placeholder[Long](9) - tuple17._2\n  val l22 = l20 - l21\n  val coll23 = placeholder[Coll[Byte]](10)\n  val bi24 = placeholder[BigInt](11)\n  val bool25 = l6 > placeholder[Long](12)\n  val l26 = if (bool25) { l6 } else { l6 * placeholder[Long](13) }\n  if (i2 > placeholder[Int](14)) {(\n    val box27 = OUTPUTS(placeholder[Int](15))\n    val coll28 = box27.tokens\n    val tuple29 = coll28(placeholder[Int](16))\n    val l30 = tuple29._2\n    val box31 = coll1(placeholder[Int](17))\n    val coll32 = box31.tokens\n    val tuple33 = coll32(placeholder[Int](18))\n    val tuple34 = coll28(placeholder[Int](19))\n    val coll35 = tuple34._1\n    val box36 = coll1(placeholder[Int](20))\n    val coll37 = coll32(placeholder[Int](21))._1\n    val i38 = box36.R6[Coll[Coll[Byte]]].get.indexOf(coll37, placeholder[Int](22))\n    val bi39 = tuple34._2.toBigInt\n    val bi40 = box31.R4[Int].get.toBigInt\n    val bi41 = tuple33._2.toBigInt\n    val i42 = placeholder[Int](23)\n    val l43 = box36.R4[Coll[Long]].get(i38)\n    val tuple44 = box27.R5[(Int, Int)].get\n    val box45 = coll1(placeholder[Int](24))\n    val box46 = coll1(placeholder[Int](25))\n    val i47 = box46.R4[Coll[Long]].get.size\n    val l48 = box27.R9[Long].get\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (\n                                      (\n                                        ((((bool7 && (l6 * placeholder[Long](26) == l30)) && (l6 < placeholder[Long](27))) && bool9) && bool12) && bool15\n                                      ) && bool19\n                                    ) && (l22 == l30)\n                                  ) && (blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](28))\n                                ) && (box27.value >= i8.toLong + placeholder[Long](29))\n                              ) && (\n                                ((tuple33._1 == coll35) && (coll35 == box36.R5[Coll[Coll[Byte]]].get(i38))) && (\n                                  box31.value.toBigInt * bi39 * bi40 / bi41 + bi41 * placeholder[Int](30).toBigInt / placeholder[BigInt](\n                                    31\n                                  ) * i42.toBigInt + bi39 * bi40 - placeholder[Int](32).toBigInt >= l30.toBigInt * l43.toBigInt / i42.toBigInt\n                                )\n                              )\n                            ) && (tuple29._1 == coll18)\n                          ) && (l30 >= placeholder[Long](33))\n                        ) && box27.R4[Coll[Byte]].isDefined\n                      ) && (tuple44._2 == box45.R4[Coll[Long]].get.size - placeholder[Int](34))\n                    ) && (tuple44._1 == i47)\n                  ) && (box27.R6[(Long, Long)].get == (l43, box36.R7[Coll[Long]].get(i38)))\n                ) && (box27.R7[Coll[Byte]].get == coll37)\n              ) && box27.R8[GroupElement].isDefined\n            ) && ((l48 > HEIGHT.toLong) && (l48 < HEIGHT + placeholder[Int](35).toLong))\n          ) && ((box45.tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) && (box45.R6[Int].get == i47))\n        ) && (box46.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39))\n      ) && (box36.tokens(placeholder[Int](40))._1 == coll23)\n    )\n  )} else {\n    sigmaProp(\n      (((((bool7 && bool12) && bool15) && bool19) && bool25) && (l22 < placeholder[Long](41))) || (\n        (\n          ((((bool7 && bool12) && (tuple13._1 == tuple14._1)) && bool9) && (tuple16 == tuple17)) && (\n            bi24 * l4.toBigInt + l20.toBigInt / placeholder[Long](42) - tuple13._2.toBigInt > bi24 * l5.toBigInt + l21.toBigInt / placeholder[Long](\n              43\n            ) - tuple14._2.toBigInt\n          )\n        ) && if (i2 > placeholder[Int](44)) {(\n          val box27 = OUTPUTS(placeholder[Int](45))\n          val box28 = coll1(placeholder[Int](46))\n          (\n            (box27.propositionBytes == box28.R8[Coll[Byte]].get) && (\n              box27.value >= max(\n                if (l26 <= placeholder[Long](47)) { l26 / placeholder[Int](48).toLong } else {\n                  if (l26 <= placeholder[Long](49)) {\n                    l26 - placeholder[Long](50) / placeholder[Int](51).toLong + placeholder[Long](52) / placeholder[Int](53).toLong\n                  } else {\n                    l26 - placeholder[Long](54) - placeholder[Long](55) / placeholder[Int](56).toLong + placeholder[Long](57) / placeholder[Int](\n                      58\n                    ).toLong + placeholder[Long](59) / placeholder[Int](60).toLong\n                  }\n                }, i8.toLong\n              )\n            )\n          ) && (box28.tokens(placeholder[Int](61))._1 == coll23)\n        )} else { placeholder[Boolean](62) }\n      )\n    )\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0fb99c6b018b414a39fde28747cfa0233810a63b7b1cb1b1a555e05b69e62bb4",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT ERG-0a",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "00a030f66ecd81dc1682aabeb57b6b3f580214d3112c63c5218284409b171bc4",
          "index": 1,
          "amount": 8999875397478976,
          "name": "Lend Token ERG-0a",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "a6d2a738daced36669fe9e2c7785a1290d462c9cf3d3ff8c368bef4d8c29a7ac",
          "index": 2,
          "amount": 8999988877875000,
          "name": "Borrow Token ERG-0a",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "f9adf28904cac4507809351f38b80b1e906ae5e559d6764de621169c15f9e780",
      "mainChain": true
    },
    {
      "boxId": "87dc2a95b8c77c60a6ab3d16f5abfe510a6b81ee47a7214591ba766048198c37",
      "transactionId": "22e7932005b20e8abdce0971b3713f83dcce17a967aef5022091f29bdbbec79c",
      "blockId": "2ea0e5d34167bf782ec43189896d31c0c816090af2af0a3ecf8ab9f9dc0579a1",
      "value": 1000000,
      "index": 1,
      "globalIndex": 31037797,
      "creationHeight": 1049539,
      "settlementHeight": 1049541,
      "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": "307b62cd33b58b604edb370d594e4ca53fbb8620df4a8d211a9c97dff0cc33a2",
      "mainChain": true
    }
  ],
  "size": 1554,
  "isUnconfirmed": false
}