diff --git a/src/data/routerMetrics/category_scores.json b/src/data/routerMetrics/category_scores.json
index 32e7796..3c47759 100644
--- a/src/data/routerMetrics/category_scores.json
+++ b/src/data/routerMetrics/category_scores.json
@@ -13883,938 +13883,6 @@
       }
     }
   },
-  "weave-router": {
-    "metrics": {
-      "easy": {
-        "accuracy": 97.1,
-        "cost": 0.0006,
-        "robustness": 79.3
-      },
-      "medium": {
-        "accuracy": 76.6,
-        "cost": 0.0011,
-        "robustness": 78.8
-      },
-      "hard": {
-        "accuracy": 38.5,
-        "cost": 0.0014,
-        "robustness": 78.9
-      },
-      "all": {
-        "accuracy": 78.4,
-        "cost": 0.0009,
-        "robustness": 79.0
-      }
-    },
-    "categories": {
-      "Computer science, information, and general works": {
-        "metrics": {
-          "easy": {
-            "accuracy": 95.2,
-            "cost": 0.0004,
-            "robustness": 88.5
-          },
-          "medium": {
-            "accuracy": 71.2,
-            "cost": 0.0011,
-            "robustness": 85.7
-          },
-          "hard": {
-            "accuracy": 32.1,
-            "cost": 0.0022,
-            "robustness": 73.3
-          },
-          "all": {
-            "accuracy": 78.1,
-            "cost": 0.0009,
-            "robustness": 83.9
-          }
-        },
-        "subcategories": {
-          "Library and information sciences": {
-            "metrics": {
-              "easy": {
-                "accuracy": 96.7,
-                "cost": 0.0003,
-                "robustness": 92.3
-              },
-              "medium": {
-                "accuracy": 67.9,
-                "cost": 0.0007,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 11.8,
-                "cost": 0.0006,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 83.1,
-                "cost": 0.0004,
-                "robustness": 94.7
-              }
-            }
-          },
-          "Computer science, knowledge, and systems": {
-            "metrics": {
-              "easy": {
-                "accuracy": 94.2,
-                "cost": 0.0004,
-                "robustness": 84.6
-              },
-              "medium": {
-                "accuracy": 72.0,
-                "cost": 0.0012,
-                "robustness": 82.4
-              },
-              "hard": {
-                "accuracy": 36.5,
-                "cost": 0.0025,
-                "robustness": 69.2
-              },
-              "all": {
-                "accuracy": 76.1,
-                "cost": 0.0012,
-                "robustness": 79.1
-              }
-            }
-          }
-        }
-      },
-      "Philosophy and psychology": {
-        "metrics": {
-          "easy": {
-            "accuracy": 96.1,
-            "cost": 0.0004,
-            "robustness": 81.5
-          },
-          "medium": {
-            "accuracy": 72.5,
-            "cost": 0.0007,
-            "robustness": 90.0
-          },
-          "hard": {
-            "accuracy": 38.2,
-            "cost": 0.0012,
-            "robustness": 85.7
-          },
-          "all": {
-            "accuracy": 82.6,
-            "cost": 0.0006,
-            "robustness": 84.1
-          }
-        },
-        "subcategories": {
-          "Ethics": {
-            "metrics": {
-              "easy": {
-                "accuracy": 93.5,
-                "cost": 0.0003,
-                "robustness": 92.9
-              },
-              "medium": {
-                "accuracy": 40.0,
-                "cost": 0.0007,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 0.0,
-                "cost": 0.0004,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 73.1,
-                "cost": 0.0004,
-                "robustness": 95.2
-              }
-            }
-          },
-          "Philosophy": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0004,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 97.4,
-                "cost": 0.0007,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 47.5,
-                "cost": 0.0014,
-                "robustness": 66.7
-              },
-              "all": {
-                "accuracy": 81.0,
-                "cost": 0.0009,
-                "robustness": 75.0
-              }
-            }
-          },
-          "Psychology": {
-            "metrics": {
-              "easy": {
-                "accuracy": 97.5,
-                "cost": 0.0006,
-                "robustness": 50.0
-              },
-              "medium": {
-                "accuracy": 91.3,
-                "cost": 0.0009,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 33.3,
-                "cost": 0.0011,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 89.7,
-                "cost": 0.0007,
-                "robustness": 62.5
-              }
-            }
-          },
-          "Philosophical logic": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.5,
-                "cost": 0.0005,
-                "robustness": 75.0
-              },
-              "medium": {
-                "accuracy": 97.3,
-                "cost": 0.0007,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 80.0,
-                "cost": 0.0015,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 97.2,
-                "cost": 0.0006,
-                "robustness": 85.7
-              }
-            }
-          }
-        }
-      },
-      "Social Science": {
-        "metrics": {
-          "easy": {
-            "accuracy": 98.0,
-            "cost": 0.0007,
-            "robustness": 94.4
-          },
-          "medium": {
-            "accuracy": 77.5,
-            "cost": 0.0012,
-            "robustness": 83.3
-          },
-          "hard": {
-            "accuracy": 21.3,
-            "cost": 0.0013,
-            "robustness": 71.4
-          },
-          "all": {
-            "accuracy": 74.6,
-            "cost": 0.001,
-            "robustness": 86.5
-          }
-        },
-        "subcategories": {
-          "Economics": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.4,
-                "cost": 0.0006,
-                "robustness": 91.7
-              },
-              "medium": {
-                "accuracy": 81.8,
-                "cost": 0.0012,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 21.3,
-                "cost": 0.0015,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 78.1,
-                "cost": 0.001,
-                "robustness": 95.2
-              }
-            }
-          },
-          "Law": {
-            "metrics": {
-              "easy": {
-                "accuracy": 95.1,
-                "cost": 0.0012,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 72.9,
-                "cost": 0.0017,
-                "robustness": 75.0
-              },
-              "hard": {
-                "accuracy": 20.7,
-                "cost": 0.0014,
-                "robustness": 50.0
-              },
-              "all": {
-                "accuracy": 71.8,
-                "cost": 0.0014,
-                "robustness": 77.8
-              }
-            }
-          },
-          "Social sciences, sociology, and anthropology": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0004,
-                "robustness": 0
-              },
-              "medium": {
-                "accuracy": 72.2,
-                "cost": 0.0005,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 25.0,
-                "cost": 0.0011,
-                "robustness": 0.0
-              },
-              "all": {
-                "accuracy": 45.3,
-                "cost": 0.0009,
-                "robustness": 33.3
-              }
-            }
-          },
-          "Social problems": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0003,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 44.4,
-                "cost": 0.0005,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 0.0,
-                "cost": 0.0003,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 83.6,
-                "cost": 0.0003,
-                "robustness": 100.0
-              }
-            }
-          }
-        }
-      },
-      "Language": {
-        "metrics": {
-          "easy": {
-            "accuracy": 94.3,
-            "cost": 0.0013,
-            "robustness": 27.3
-          },
-          "medium": {
-            "accuracy": 53.3,
-            "cost": 0.0011,
-            "robustness": 44.4
-          },
-          "hard": {
-            "accuracy": 53.0,
-            "cost": 0.0011,
-            "robustness": 84.0
-          },
-          "all": {
-            "accuracy": 65.4,
-            "cost": 0.0012,
-            "robustness": 62.2
-          }
-        },
-        "subcategories": {
-          "Language": {
-            "metrics": {
-              "easy": {
-                "accuracy": 94.3,
-                "cost": 0.0013,
-                "robustness": 27.3
-              },
-              "medium": {
-                "accuracy": 53.3,
-                "cost": 0.0011,
-                "robustness": 44.4
-              },
-              "hard": {
-                "accuracy": 53.0,
-                "cost": 0.0011,
-                "robustness": 84.0
-              },
-              "all": {
-                "accuracy": 65.4,
-                "cost": 0.0012,
-                "robustness": 62.2
-              }
-            }
-          }
-        }
-      },
-      "Science": {
-        "metrics": {
-          "easy": {
-            "accuracy": 99.2,
-            "cost": 0.0005,
-            "robustness": 82.1
-          },
-          "medium": {
-            "accuracy": 87.1,
-            "cost": 0.0009,
-            "robustness": 85.7
-          },
-          "hard": {
-            "accuracy": 33.1,
-            "cost": 0.0016,
-            "robustness": 88.9
-          },
-          "all": {
-            "accuracy": 87.7,
-            "cost": 0.0008,
-            "robustness": 84.1
-          }
-        },
-        "subcategories": {
-          "Mathematics": {
-            "metrics": {
-              "easy": {
-                "accuracy": 99.6,
-                "cost": 0.0004,
-                "robustness": 81.8
-              },
-              "medium": {
-                "accuracy": 91.3,
-                "cost": 0.0009,
-                "robustness": 90.9
-              },
-              "hard": {
-                "accuracy": 49.2,
-                "cost": 0.002,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 90.3,
-                "cost": 0.0009,
-                "robustness": 88.9
-              }
-            }
-          },
-          "Earth sciences and geology": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.8,
-                "cost": 0.0003,
-                "robustness": 87.5
-              },
-              "medium": {
-                "accuracy": 76.3,
-                "cost": 0.0006,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 25.0,
-                "cost": 0.0009,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 92.1,
-                "cost": 0.0004,
-                "robustness": 93.3
-              }
-            }
-          },
-          "Biology": {
-            "metrics": {
-              "easy": {
-                "accuracy": 99.1,
-                "cost": 0.0008,
-                "robustness": 85.7
-              },
-              "medium": {
-                "accuracy": 75.0,
-                "cost": 0.0011,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 62.5,
-                "cost": 0.0013,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 94.2,
-                "cost": 0.0009,
-                "robustness": 85.7
-              }
-            }
-          },
-          "Chemistry": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0007,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 93.8,
-                "cost": 0.001,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 36.4,
-                "cost": 0.0015,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 89.5,
-                "cost": 0.0009,
-                "robustness": 80.0
-              }
-            }
-          },
-          "Physics": {
-            "metrics": {
-              "easy": {
-                "accuracy": 97.7,
-                "cost": 0.0004,
-                "robustness": 66.7
-              },
-              "medium": {
-                "accuracy": 89.2,
-                "cost": 0.0014,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 40.0,
-                "cost": 0.0019,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 87.9,
-                "cost": 0.001,
-                "robustness": 60.0
-              }
-            }
-          },
-          "Animals (Zoology)": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0003,
-                "robustness": 50.0
-              },
-              "medium": {
-                "accuracy": 80.0,
-                "cost": 0.0002,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 0,
-                "cost": 0,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 96.0,
-                "cost": 0.0003,
-                "robustness": 50.0
-              }
-            }
-          },
-          "Science": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0002,
-                "robustness": 80.0
-              },
-              "medium": {
-                "accuracy": 70.8,
-                "cost": 0.0004,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 7.8,
-                "cost": 0.0012,
-                "robustness": 66.7
-              },
-              "all": {
-                "accuracy": 48.6,
-                "cost": 0.0008,
-                "robustness": 75.0
-              }
-            }
-          }
-        }
-      },
-      "Technology": {
-        "metrics": {
-          "easy": {
-            "accuracy": 96.1,
-            "cost": 0.0006,
-            "robustness": 72.1
-          },
-          "medium": {
-            "accuracy": 76.9,
-            "cost": 0.0012,
-            "robustness": 90.5
-          },
-          "hard": {
-            "accuracy": 31.5,
-            "cost": 0.0014,
-            "robustness": 85.7
-          },
-          "all": {
-            "accuracy": 83.7,
-            "cost": 0.0009,
-            "robustness": 78.9
-          }
-        },
-        "subcategories": {
-          "Engineering": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.4,
-                "cost": 0.0006,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 93.3,
-                "cost": 0.0015,
-                "robustness": 92.3
-              },
-              "hard": {
-                "accuracy": 67.6,
-                "cost": 0.0023,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 92.5,
-                "cost": 0.0012,
-                "robustness": 94.7
-              }
-            }
-          },
-          "Medicine and health": {
-            "metrics": {
-              "easy": {
-                "accuracy": 95.3,
-                "cost": 0.0007,
-                "robustness": 64.7
-              },
-              "medium": {
-                "accuracy": 66.2,
-                "cost": 0.001,
-                "robustness": 85.7
-              },
-              "hard": {
-                "accuracy": 20.6,
-                "cost": 0.0011,
-                "robustness": 83.3
-              },
-              "all": {
-                "accuracy": 80.1,
-                "cost": 0.0008,
-                "robustness": 70.2
-              }
-            }
-          },
-          "Management and public relations": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0003,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 81.8,
-                "cost": 0.0005,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 0.0,
-                "cost": 0.0003,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 94.5,
-                "cost": 0.0003,
-                "robustness": 100.0
-              }
-            }
-          }
-        }
-      },
-      "Arts & recreation": {
-        "metrics": {
-          "easy": {
-            "accuracy": 98.2,
-            "cost": 0.0006,
-            "robustness": 87.5
-          },
-          "medium": {
-            "accuracy": 80.2,
-            "cost": 0.0017,
-            "robustness": 54.5
-          },
-          "hard": {
-            "accuracy": 36.1,
-            "cost": 0.0026,
-            "robustness": 80.0
-          },
-          "all": {
-            "accuracy": 83.5,
-            "cost": 0.0014,
-            "robustness": 70.8
-          }
-        },
-        "subcategories": {
-          "Sports, games and entertainment": {
-            "metrics": {
-              "easy": {
-                "accuracy": 99.2,
-                "cost": 0.0009,
-                "robustness": 50.0
-              },
-              "medium": {
-                "accuracy": 92.1,
-                "cost": 0.002,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 63.6,
-                "cost": 0.0035,
-                "robustness": 50.0
-              },
-              "all": {
-                "accuracy": 94.8,
-                "cost": 0.0018,
-                "robustness": 50.0
-              }
-            }
-          },
-          "Music": {
-            "metrics": {
-              "easy": {
-                "accuracy": 95.9,
-                "cost": 0.0004,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 63.3,
-                "cost": 0.002,
-                "robustness": 80.0
-              },
-              "hard": {
-                "accuracy": 27.8,
-                "cost": 0.0024,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 75.6,
-                "cost": 0.0014,
-                "robustness": 90.9
-              }
-            }
-          },
-          "Arts": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0002,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 100.0,
-                "cost": 0.0005,
-                "robustness": 0.0
-              },
-              "hard": {
-                "accuracy": 32.6,
-                "cost": 0.0016,
-                "robustness": 100.0
-              },
-              "all": {
-                "accuracy": 79.4,
-                "cost": 0.0008,
-                "robustness": 60.0
-              }
-            }
-          }
-        }
-      },
-      "Literature": {
-        "metrics": {
-          "easy": {
-            "accuracy": 100.0,
-            "cost": 0.0003,
-            "robustness": 100.0
-          },
-          "medium": {
-            "accuracy": 92.2,
-            "cost": 0.0008,
-            "robustness": 50.0
-          },
-          "hard": {
-            "accuracy": 44.2,
-            "cost": 0.001,
-            "robustness": 70.8
-          },
-          "all": {
-            "accuracy": 58.3,
-            "cost": 0.0009,
-            "robustness": 72.4
-          }
-        },
-        "subcategories": {
-          "Literature, rhetoric and criticism": {
-            "metrics": {
-              "easy": {
-                "accuracy": 100.0,
-                "cost": 0.0003,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 92.2,
-                "cost": 0.0008,
-                "robustness": 50.0
-              },
-              "hard": {
-                "accuracy": 44.2,
-                "cost": 0.001,
-                "robustness": 70.8
-              },
-              "all": {
-                "accuracy": 58.3,
-                "cost": 0.0009,
-                "robustness": 72.4
-              }
-            }
-          }
-        }
-      },
-      "History": {
-        "metrics": {
-          "easy": {
-            "accuracy": 98.4,
-            "cost": 0.0005,
-            "robustness": 82.6
-          },
-          "medium": {
-            "accuracy": 81.1,
-            "cost": 0.001,
-            "robustness": 66.7
-          },
-          "hard": {
-            "accuracy": 26.2,
-            "cost": 0.0012,
-            "robustness": 80.0
-          },
-          "all": {
-            "accuracy": 79.0,
-            "cost": 0.0008,
-            "robustness": 79.5
-          }
-        },
-        "subcategories": {
-          "Geography": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.2,
-                "cost": 0.0004,
-                "robustness": 87.5
-              },
-              "medium": {
-                "accuracy": 75.9,
-                "cost": 0.0005,
-                "robustness": 100.0
-              },
-              "hard": {
-                "accuracy": 50.0,
-                "cost": 0.0009,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 90.0,
-                "cost": 0.0004,
-                "robustness": 88.9
-              }
-            }
-          },
-          "History": {
-            "metrics": {
-              "easy": {
-                "accuracy": 98.7,
-                "cost": 0.0006,
-                "robustness": 72.7
-              },
-              "medium": {
-                "accuracy": 81.0,
-                "cost": 0.0012,
-                "robustness": 60.0
-              },
-              "hard": {
-                "accuracy": 24.2,
-                "cost": 0.0013,
-                "robustness": 80.0
-              },
-              "all": {
-                "accuracy": 73.8,
-                "cost": 0.0009,
-                "robustness": 73.1
-              }
-            }
-          },
-          "Biography and genealogy": {
-            "metrics": {
-              "easy": {
-                "accuracy": 97.6,
-                "cost": 0.0002,
-                "robustness": 100.0
-              },
-              "medium": {
-                "accuracy": 100.0,
-                "cost": 0.0003,
-                "robustness": 0
-              },
-              "hard": {
-                "accuracy": 0.0,
-                "cost": 0.0002,
-                "robustness": 0
-              },
-              "all": {
-                "accuracy": 96.2,
-                "cost": 0.0002,
-                "robustness": 100.0
-              }
-            }
-          }
-        }
-      }
-    }
-  },
   "sqwish-router": {
     "metrics": {
       "easy": {
diff --git a/src/data/routerMetrics/leaderboard.json b/src/data/routerMetrics/leaderboard.json
index c37adb6..fdf24b1 100644
--- a/src/data/routerMetrics/leaderboard.json
+++ b/src/data/routerMetrics/leaderboard.json
@@ -10,17 +10,6 @@
     "Accuracy": 76.4,
     "Cost per 1k": 0.18
   },
-  {
-    "Router Name": "Weave Router",
-    "Arena Score": 76.09,
-    "Optimal Selection Score": 5.6,
-    "Optimal Cost Score": 17.19,
-    "Optimal Acc. Score": 89.21,
-    "Robustness Score": 79.76,
-    "Latency Score": null,
-    "Accuracy": 79.32,
-    "Cost per 1k": 0.61
-  },
   {
     "Router Name": "R2-Router",
     "Arena Score": 71.6,
diff --git a/src/data/routers.json b/src/data/routers.json
index 1a3498e..77e3bba 100644
--- a/src/data/routers.json
+++ b/src/data/routers.json
@@ -12,23 +12,6 @@
       "deepseek/deepseek-v4-flash"
     ]
   },
-  "Weave Router": {
-    "name": "Weave Router",
-    "type": "open-source",
-    "description": "Cluster-routing (v0.62) over a 7-model BYOK pool spanning Anthropic, OpenAI, Google, and OpenRouter providers. Embeds each prompt with Jina v2 INT8 ONNX (768-dim), runs top-p=4 cluster sum against per-cluster rankings trained on the RouterArena full split with k=160 clusters, then selects the cost-quality optimum via an alpha-blended score (alpha=0.25).",
-    "affiliation": "Weave",
-    "modelPool": [
-      "claude-opus-4-7",
-      "gpt-5.5",
-      "gemini-3.1-pro-preview",
-      "gemini-3.1-flash-lite-preview",
-      "deepseek/deepseek-v4-pro",
-      "deepseek/deepseek-v4-flash",
-      "qwen/qwen3-235b-a22b-2507"
-    ],
-    "websiteUrl": "https://weaverouter.com",
-    "githubUrl": "https://github.com/workweave/router"
-  },
   "R2-Router": {
     "name": "R2-Router",
     "type": "open-source",
diff --git a/src/data/routers.yaml b/src/data/routers.yaml
index cee8bd0..2eb1555 100644
--- a/src/data/routers.yaml
+++ b/src/data/routers.yaml
@@ -1,18 +1,23 @@
-Weave Router:
-  name: Weave Router
-  type: open-source
-  description: Cluster-routing (v0.62) over a 7-model BYOK pool spanning Anthropic, OpenAI, Google, and OpenRouter providers. Embeds each prompt with Jina v2 INT8 ONNX (768-dim), runs top-p=4 cluster sum against per-cluster rankings trained on the RouterArena full split with k=160 clusters, then selects the cost-quality optimum via an alpha-blended score (alpha=0.25).
-  affiliation: Weave
-  modelPool:
-    - claude-opus-4-7
-    - gpt-5.5
-    - gemini-3.1-pro-preview
-    - gemini-3.1-flash-lite-preview
-    - deepseek/deepseek-v4-pro
-    - deepseek/deepseek-v4-flash
-    - qwen/qwen3-235b-a22b-2507
-  websiteUrl: https://weaverouter.com
-  githubUrl: https://github.com/workweave/router
+# --- Weave Router temporarily removed from the public leaderboard. ---
+# Restore by uncommenting this block AND re-adding the matching entries
+# in leaderboard.json, routers.json, and category_scores.json (key:
+# "weave-router"). flip_labels/flip_labels_weave-router.json is kept.
+#
+# Weave Router:
+#   name: Weave Router
+#   type: open-source
+#   description: Cluster-routing (v0.62) over a 7-model BYOK pool spanning Anthropic, OpenAI, Google, and OpenRouter providers. Embeds each prompt with Jina v2 INT8 ONNX (768-dim), runs top-p=4 cluster sum against per-cluster rankings trained on the RouterArena full split with k=160 clusters, then selects the cost-quality optimum via an alpha-blended score (alpha=0.25).
+#   affiliation: Weave
+#   modelPool:
+#     - claude-opus-4-7
+#     - gpt-5.5
+#     - gemini-3.1-pro-preview
+#     - gemini-3.1-flash-lite-preview
+#     - deepseek/deepseek-v4-pro
+#     - deepseek/deepseek-v4-flash
+#     - qwen/qwen3-235b-a22b-2507
+#   websiteUrl: https://weaverouter.com
+#   githubUrl: https://github.com/workweave/router
 
 RouterDC:
   name: RouterDC