diff --git a/cauldron/data/foods_seed.json b/cauldron/data/foods_seed.json
new file mode 100644
index 0000000..19890b0
--- /dev/null
+++ b/cauldron/data/foods_seed.json
@@ -0,0 +1,2063 @@
+[
+  {
+    "canonical_name": "all-purpose flour",
+    "category": "baking",
+    "density_g_per_ml": 0.528,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168894,
+    "notes": null
+  },
+  {
+    "canonical_name": "arrowroot flour",
+    "category": "baking",
+    "density_g_per_ml": 0.541,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170684,
+    "notes": null
+  },
+  {
+    "canonical_name": "bread flour",
+    "category": "baking",
+    "density_g_per_ml": 0.579,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168896,
+    "notes": null
+  },
+  {
+    "canonical_name": "brown rice flour",
+    "category": "baking",
+    "density_g_per_ml": 0.668,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168898,
+    "notes": null
+  },
+  {
+    "canonical_name": "brown sugar",
+    "category": "baking",
+    "density_g_per_ml": 0.747,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168833,
+    "notes": null
+  },
+  {
+    "canonical_name": "cake flour",
+    "category": "baking",
+    "density_g_per_ml": 0.579,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169723,
+    "notes": null
+  },
+  {
+    "canonical_name": "carob flour",
+    "category": "baking",
+    "density_g_per_ml": 0.421,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173755,
+    "notes": null
+  },
+  {
+    "canonical_name": "chocolate syrup",
+    "category": "baking",
+    "density_g_per_ml": 1.353,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170681,
+    "notes": null
+  },
+  {
+    "canonical_name": "corn flour",
+    "category": "baking",
+    "density_g_per_ml": 0.495,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170290,
+    "notes": "whole-grain yellow"
+  },
+  {
+    "canonical_name": "dark rye flour",
+    "category": "baking",
+    "density_g_per_ml": 0.541,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168885,
+    "notes": null
+  },
+  {
+    "canonical_name": "defatted soy flour",
+    "category": "baking",
+    "density_g_per_ml": 0.445,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174275,
+    "notes": null
+  },
+  {
+    "canonical_name": "dutch-process cocoa powder",
+    "category": "baking",
+    "density_g_per_ml": 0.364,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169594,
+    "notes": "processed with alkali; distinct from natural cocoa in leavening chemistry"
+  },
+  {
+    "canonical_name": "full-fat soy flour",
+    "category": "baking",
+    "density_g_per_ml": 0.353,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174273,
+    "notes": "raw"
+  },
+  {
+    "canonical_name": "granulated sugar",
+    "category": "baking",
+    "density_g_per_ml": 0.849,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169655,
+    "notes": null
+  },
+  {
+    "canonical_name": "light rye flour",
+    "category": "baking",
+    "density_g_per_ml": 0.431,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168887,
+    "notes": null
+  },
+  {
+    "canonical_name": "maple sugar",
+    "category": "baking",
+    "density_g_per_ml": 0.609,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169658,
+    "notes": null
+  },
+  {
+    "canonical_name": "masa harina",
+    "category": "baking",
+    "density_g_per_ml": 0.482,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169694,
+    "notes": "enriched white corn masa flour"
+  },
+  {
+    "canonical_name": "millet flour",
+    "category": "baking",
+    "density_g_per_ml": 0.503,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172023,
+    "notes": null
+  },
+  {
+    "canonical_name": "oat flour",
+    "category": "baking",
+    "density_g_per_ml": 0.44,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169741,
+    "notes": "partially debranned"
+  },
+  {
+    "canonical_name": "powdered sugar",
+    "category": "baking",
+    "density_g_per_ml": 0.495,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169656,
+    "notes": null
+  },
+  {
+    "canonical_name": "self-rising cornmeal",
+    "category": "baking",
+    "density_g_per_ml": 0.719,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168869,
+    "notes": "bolted, with wheat flour added"
+  },
+  {
+    "canonical_name": "self-rising flour",
+    "category": "baking",
+    "density_g_per_ml": 0.528,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168895,
+    "notes": null
+  },
+  {
+    "canonical_name": "sorghum flour",
+    "category": "baking",
+    "density_g_per_ml": 0.681,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173262,
+    "notes": null
+  },
+  {
+    "canonical_name": "turbinado sugar",
+    "category": "baking",
+    "density_g_per_ml": 0.894,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170674,
+    "notes": null
+  },
+  {
+    "canonical_name": "unsweetened baking chocolate",
+    "category": "baking",
+    "density_g_per_ml": 0.558,
+    "default_unit_class": "count",
+    "common_size_g": 28,
+    "usda_fdc_id": 167568,
+    "notes": "standard 1 oz square"
+  },
+  {
+    "canonical_name": "unsweetened cocoa powder",
+    "category": "baking",
+    "density_g_per_ml": 0.364,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169593,
+    "notes": null
+  },
+  {
+    "canonical_name": "vanilla extract",
+    "category": "baking",
+    "density_g_per_ml": 0.87,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173471,
+    "notes": null
+  },
+  {
+    "canonical_name": "white rice flour",
+    "category": "baking",
+    "density_g_per_ml": 0.668,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169714,
+    "notes": null
+  },
+  {
+    "canonical_name": "acerola juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.022,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171687,
+    "notes": null
+  },
+  {
+    "canonical_name": "apple juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.048,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173933,
+    "notes": null
+  },
+  {
+    "canonical_name": "black tea",
+    "category": "beverage",
+    "density_g_per_ml": 1.002,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173227,
+    "notes": null
+  },
+  {
+    "canonical_name": "blackberry juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.057,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173947,
+    "notes": null
+  },
+  {
+    "canonical_name": "brewed coffee",
+    "category": "beverage",
+    "density_g_per_ml": 1.002,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171890,
+    "notes": null
+  },
+  {
+    "canonical_name": "club soda",
+    "category": "beverage",
+    "density_g_per_ml": 1.001,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174842,
+    "notes": null
+  },
+  {
+    "canonical_name": "coconut water",
+    "category": "beverage",
+    "density_g_per_ml": 1.014,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170174,
+    "notes": null
+  },
+  {
+    "canonical_name": "cranberry juice cocktail",
+    "category": "beverage",
+    "density_g_per_ml": 1.069,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171903,
+    "notes": null
+  },
+  {
+    "canonical_name": "decaf black tea",
+    "category": "beverage",
+    "density_g_per_ml": 1.002,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174871,
+    "notes": null
+  },
+  {
+    "canonical_name": "decaf coffee",
+    "category": "beverage",
+    "density_g_per_ml": 1.002,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171889,
+    "notes": null
+  },
+  {
+    "canonical_name": "decaf green tea",
+    "category": "beverage",
+    "density_g_per_ml": 1.0,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171910,
+    "notes": null
+  },
+  {
+    "canonical_name": "fruit punch",
+    "category": "beverage",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174153,
+    "notes": null
+  },
+  {
+    "canonical_name": "grape juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.069,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173042,
+    "notes": null
+  },
+  {
+    "canonical_name": "grapefruit juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.063,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174678,
+    "notes": null
+  },
+  {
+    "canonical_name": "green tea",
+    "category": "beverage",
+    "density_g_per_ml": 1.018,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171917,
+    "notes": null
+  },
+  {
+    "canonical_name": "hibiscus tea",
+    "category": "beverage",
+    "density_g_per_ml": 1.002,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171946,
+    "notes": null
+  },
+  {
+    "canonical_name": "lemon juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.031,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167747,
+    "notes": null
+  },
+  {
+    "canonical_name": "lemonade",
+    "category": "beverage",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173217,
+    "notes": null
+  },
+  {
+    "canonical_name": "lime juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.032,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 168156,
+    "notes": null
+  },
+  {
+    "canonical_name": "limeade",
+    "category": "beverage",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174862,
+    "notes": null
+  },
+  {
+    "canonical_name": "non-alcoholic beer",
+    "category": "beverage",
+    "density_g_per_ml": 1.001,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174863,
+    "notes": null
+  },
+  {
+    "canonical_name": "non-alcoholic wine",
+    "category": "beverage",
+    "density_g_per_ml": 0.981,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 174157,
+    "notes": null
+  },
+  {
+    "canonical_name": "passion fruit juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 169109,
+    "notes": null
+  },
+  {
+    "canonical_name": "pink grapefruit juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167774,
+    "notes": null
+  },
+  {
+    "canonical_name": "pink lemonade",
+    "category": "beverage",
+    "density_g_per_ml": 1.045,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173667,
+    "notes": null
+  },
+  {
+    "canonical_name": "pomegranate juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.057,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167787,
+    "notes": null
+  },
+  {
+    "canonical_name": "prune juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.082,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167753,
+    "notes": null
+  },
+  {
+    "canonical_name": "root beer",
+    "category": "beverage",
+    "density_g_per_ml": 1.041,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171871,
+    "notes": null
+  },
+  {
+    "canonical_name": "sparkling water",
+    "category": "beverage",
+    "density_g_per_ml": 1.001,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173233,
+    "notes": null
+  },
+  {
+    "canonical_name": "tonic water",
+    "category": "beverage",
+    "density_g_per_ml": 1.031,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171869,
+    "notes": null
+  },
+  {
+    "canonical_name": "vegetable juice",
+    "category": "beverage",
+    "density_g_per_ml": 1.048,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170063,
+    "notes": null
+  },
+  {
+    "canonical_name": "water",
+    "category": "beverage",
+    "density_g_per_ml": 1.0,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173647,
+    "notes": null
+  },
+  {
+    "canonical_name": "blue cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.571,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172175,
+    "notes": null
+  },
+  {
+    "canonical_name": "brick cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.518,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172176,
+    "notes": null
+  },
+  {
+    "canonical_name": "brie cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.812,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172177,
+    "notes": null
+  },
+  {
+    "canonical_name": "camembert cheese",
+    "category": "dairy",
+    "density_g_per_ml": 1.04,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172178,
+    "notes": null
+  },
+  {
+    "canonical_name": "cheddar cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.689,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173414,
+    "notes": null
+  },
+  {
+    "canonical_name": "cheese slice",
+    "category": "dairy",
+    "density_g_per_ml": null,
+    "default_unit_class": "count",
+    "common_size_g": 28,
+    "usda_fdc_id": null,
+    "notes": "generic pre-sliced cheese; 1 slice ≈ 28 g"
+  },
+  {
+    "canonical_name": "colby cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.518,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173416,
+    "notes": null
+  },
+  {
+    "canonical_name": "cotija cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.507,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 170898,
+    "notes": null
+  },
+  {
+    "canonical_name": "cottage cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.919,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172179,
+    "notes": "creamed, full-fat"
+  },
+  {
+    "canonical_name": "cream cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.879,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173418,
+    "notes": null
+  },
+  {
+    "canonical_name": "dry whole milk",
+    "category": "dairy",
+    "density_g_per_ml": 0.541,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170876,
+    "notes": "powdered whole milk"
+  },
+  {
+    "canonical_name": "egg",
+    "category": "dairy",
+    "density_g_per_ml": 1.027,
+    "default_unit_class": "count",
+    "common_size_g": 50,
+    "usda_fdc_id": 171287,
+    "notes": "large whole egg"
+  },
+  {
+    "canonical_name": "eggnog",
+    "category": "dairy",
+    "density_g_per_ml": 1.074,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171258,
+    "notes": null
+  },
+  {
+    "canonical_name": "evaporated milk",
+    "category": "dairy",
+    "density_g_per_ml": 1.065,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172194,
+    "notes": null
+  },
+  {
+    "canonical_name": "feta cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.634,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173420,
+    "notes": null
+  },
+  {
+    "canonical_name": "fontina cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.507,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 170843,
+    "notes": null
+  },
+  {
+    "canonical_name": "gruyere cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.507,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 171242,
+    "notes": null
+  },
+  {
+    "canonical_name": "half and half",
+    "category": "dairy",
+    "density_g_per_ml": 1.019,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171255,
+    "notes": null
+  },
+  {
+    "canonical_name": "heavy cream",
+    "category": "dairy",
+    "density_g_per_ml": 0.884,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170859,
+    "notes": null
+  },
+  {
+    "canonical_name": "light cream",
+    "category": "dairy",
+    "density_g_per_ml": 1.014,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170857,
+    "notes": "coffee cream or table cream"
+  },
+  {
+    "canonical_name": "limburger cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.566,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 171243,
+    "notes": null
+  },
+  {
+    "canonical_name": "mexican blend cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.473,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 171288,
+    "notes": "four-cheese shredded blend"
+  },
+  {
+    "canonical_name": "mozzarella cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.518,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 171244,
+    "notes": "low moisture, part-skim"
+  },
+  {
+    "canonical_name": "parmesan cheese",
+    "category": "dairy",
+    "density_g_per_ml": 0.38,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 171247,
+    "notes": "grated"
+  },
+  {
+    "canonical_name": "queso anejo",
+    "category": "dairy",
+    "density_g_per_ml": 0.558,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172201,
+    "notes": null
+  },
+  {
+    "canonical_name": "queso asadero",
+    "category": "dairy",
+    "density_g_per_ml": 0.518,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173437,
+    "notes": null
+  },
+  {
+    "canonical_name": "queso blanco",
+    "category": "dairy",
+    "density_g_per_ml": 0.499,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172224,
+    "notes": null
+  },
+  {
+    "canonical_name": "queso chihuahua",
+    "category": "dairy",
+    "density_g_per_ml": 0.518,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 173438,
+    "notes": null
+  },
+  {
+    "canonical_name": "queso fresco",
+    "category": "dairy",
+    "density_g_per_ml": 0.516,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172223,
+    "notes": null
+  },
+  {
+    "canonical_name": "queso seco",
+    "category": "dairy",
+    "density_g_per_ml": 0.41,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 172222,
+    "notes": "dry white cheese"
+  },
+  {
+    "canonical_name": "rice milk",
+    "category": "dairy",
+    "density_g_per_ml": 1.014,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171942,
+    "notes": "unsweetened"
+  },
+  {
+    "canonical_name": "ricotta cheese",
+    "category": "dairy",
+    "density_g_per_ml": 1.044,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171248,
+    "notes": "part-skim"
+  },
+  {
+    "canonical_name": "sour cream",
+    "category": "dairy",
+    "density_g_per_ml": 0.892,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171257,
+    "notes": null
+  },
+  {
+    "canonical_name": "sweetened condensed milk",
+    "category": "dairy",
+    "density_g_per_ml": 1.293,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171275,
+    "notes": null
+  },
+  {
+    "canonical_name": "whole milk",
+    "category": "dairy",
+    "density_g_per_ml": 1.027,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172217,
+    "notes": null
+  },
+  {
+    "canonical_name": "bacon grease",
+    "category": "meat",
+    "density_g_per_ml": 0.872,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172345,
+    "notes": null
+  },
+  {
+    "canonical_name": "beef broth",
+    "category": "meat",
+    "density_g_per_ml": 1.014,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171538,
+    "notes": null
+  },
+  {
+    "canonical_name": "beef tallow",
+    "category": "meat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171400,
+    "notes": null
+  },
+  {
+    "canonical_name": "canned chicken",
+    "category": "meat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171110,
+    "notes": "no broth"
+  },
+  {
+    "canonical_name": "canned mackerel",
+    "category": "meat",
+    "density_g_per_ml": 0.803,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 175121,
+    "notes": "drained"
+  },
+  {
+    "canonical_name": "canned sardines",
+    "category": "meat",
+    "density_g_per_ml": 0.63,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 175139,
+    "notes": "in oil, drained, with bone"
+  },
+  {
+    "canonical_name": "canned shrimp",
+    "category": "meat",
+    "density_g_per_ml": 0.541,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171972,
+    "notes": null
+  },
+  {
+    "canonical_name": "canned tuna",
+    "category": "meat",
+    "density_g_per_ml": 0.617,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173708,
+    "notes": "light, in oil, drained"
+  },
+  {
+    "canonical_name": "caviar",
+    "category": "meat",
+    "density_g_per_ml": 1.082,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174188,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken breast",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171477,
+    "notes": "cooked, meat only, roasted"
+  },
+  {
+    "canonical_name": "chicken dark meat",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171069,
+    "notes": "cooked, meat only, roasted"
+  },
+  {
+    "canonical_name": "chicken drumstick",
+    "category": "meat",
+    "density_g_per_ml": 0.676,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172377,
+    "notes": "cooked, meat only"
+  },
+  {
+    "canonical_name": "chicken fat",
+    "category": "meat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173564,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken giblets",
+    "category": "meat",
+    "density_g_per_ml": 0.613,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171058,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken gizzard",
+    "category": "meat",
+    "density_g_per_ml": 0.613,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171457,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken heart",
+    "category": "meat",
+    "density_g_per_ml": 0.613,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171059,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken light meat",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171466,
+    "notes": "cooked, meat only, roasted"
+  },
+  {
+    "canonical_name": "chicken liver pate",
+    "category": "meat",
+    "density_g_per_ml": 0.879,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172928,
+    "notes": null
+  },
+  {
+    "canonical_name": "chicken thigh",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172389,
+    "notes": "cooked, meat only"
+  },
+  {
+    "canonical_name": "chicken wing",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172393,
+    "notes": "cooked, meat only"
+  },
+  {
+    "canonical_name": "fish broth",
+    "category": "meat",
+    "density_g_per_ml": 1.031,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171606,
+    "notes": null
+  },
+  {
+    "canonical_name": "fish roe",
+    "category": "meat",
+    "density_g_per_ml": 0.947,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 175132,
+    "notes": null
+  },
+  {
+    "canonical_name": "ham",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 167872,
+    "notes": "cured, boneless, roasted"
+  },
+  {
+    "canonical_name": "pickled herring",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 175118,
+    "notes": null
+  },
+  {
+    "canonical_name": "pork heart",
+    "category": "meat",
+    "density_g_per_ml": 0.613,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168268,
+    "notes": null
+  },
+  {
+    "canonical_name": "pork kidney",
+    "category": "meat",
+    "density_g_per_ml": 0.592,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 167860,
+    "notes": null
+  },
+  {
+    "canonical_name": "pork leg",
+    "category": "meat",
+    "density_g_per_ml": 0.571,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168225,
+    "notes": "fresh ham, lean only, roasted"
+  },
+  {
+    "canonical_name": "pork shoulder",
+    "category": "meat",
+    "density_g_per_ml": 0.571,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 167846,
+    "notes": "lean only, roasted"
+  },
+  {
+    "canonical_name": "smoked salmon",
+    "category": "meat",
+    "density_g_per_ml": 0.575,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173687,
+    "notes": null
+  },
+  {
+    "canonical_name": "smoked whitefish",
+    "category": "meat",
+    "density_g_per_ml": 0.575,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173712,
+    "notes": null
+  },
+  {
+    "canonical_name": "turkey and pork sausage",
+    "category": "meat",
+    "density_g_per_ml": 0.549,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 167694,
+    "notes": "cooked"
+  },
+  {
+    "canonical_name": "alfalfa sprout",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.171,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168384,
+    "notes": null
+  },
+  {
+    "canonical_name": "almond",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.463,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170567,
+    "notes": null
+  },
+  {
+    "canonical_name": "almond oil",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171031,
+    "notes": null
+  },
+  {
+    "canonical_name": "almond paste",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.959,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170160,
+    "notes": null
+  },
+  {
+    "canonical_name": "anise seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.44,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171316,
+    "notes": null
+  },
+  {
+    "canonical_name": "black walnut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.528,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170186,
+    "notes": null
+  },
+  {
+    "canonical_name": "black-eyed pea",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.708,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173758,
+    "notes": "dried mature seeds"
+  },
+  {
+    "canonical_name": "brazil nut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.562,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170569,
+    "notes": null
+  },
+  {
+    "canonical_name": "caraway seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.44,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170918,
+    "notes": null
+  },
+  {
+    "canonical_name": "cashew",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.58,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170571,
+    "notes": "dry roasted unsalted; no raw entry available in this batch"
+  },
+  {
+    "canonical_name": "chestnut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.613,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170574,
+    "notes": "raw, unpeeled"
+  },
+  {
+    "canonical_name": "coconut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.338,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170169,
+    "notes": "raw meat"
+  },
+  {
+    "canonical_name": "coriander seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.352,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170922,
+    "notes": null
+  },
+  {
+    "canonical_name": "dill seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.436,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170925,
+    "notes": null
+  },
+  {
+    "canonical_name": "dry roasted almond",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.583,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170158,
+    "notes": null
+  },
+  {
+    "canonical_name": "dry roasted peanut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.617,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173806,
+    "notes": null
+  },
+  {
+    "canonical_name": "fennel seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.399,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171323,
+    "notes": null
+  },
+  {
+    "canonical_name": "fenugreek seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.751,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171324,
+    "notes": null
+  },
+  {
+    "canonical_name": "flaxseed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.615,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169414,
+    "notes": null
+  },
+  {
+    "canonical_name": "flaxseed oil",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.921,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167702,
+    "notes": "cold pressed"
+  },
+  {
+    "canonical_name": "hazelnut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.458,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170581,
+    "notes": null
+  },
+  {
+    "canonical_name": "hazelnut oil",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171427,
+    "notes": null
+  },
+  {
+    "canonical_name": "hemp seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.676,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170148,
+    "notes": "hulled"
+  },
+  {
+    "canonical_name": "hickory nut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.507,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170177,
+    "notes": null
+  },
+  {
+    "canonical_name": "lotus seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.135,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170149,
+    "notes": "dried"
+  },
+  {
+    "canonical_name": "lupin bean",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.761,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172423,
+    "notes": "dried mature seeds"
+  },
+  {
+    "canonical_name": "macadamia nut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.566,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170178,
+    "notes": null
+  },
+  {
+    "canonical_name": "mixed nuts",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.554,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170585,
+    "notes": "dry roasted with peanuts, unsalted"
+  },
+  {
+    "canonical_name": "nutmeg",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.46,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171326,
+    "notes": "ground"
+  },
+  {
+    "canonical_name": "peanut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.617,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172430,
+    "notes": null
+  },
+  {
+    "canonical_name": "peanut flour",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.254,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174267,
+    "notes": "defatted"
+  },
+  {
+    "canonical_name": "peanut oil",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.913,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171410,
+    "notes": null
+  },
+  {
+    "canonical_name": "pecan",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.44,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170182,
+    "notes": null
+  },
+  {
+    "canonical_name": "pigeon pea",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172436,
+    "notes": "dried mature seeds"
+  },
+  {
+    "canonical_name": "pine nut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.571,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170591,
+    "notes": null
+  },
+  {
+    "canonical_name": "pistachio",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.52,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170184,
+    "notes": "raw"
+  },
+  {
+    "canonical_name": "poppy seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.582,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171330,
+    "notes": null
+  },
+  {
+    "canonical_name": "roasted chestnut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.604,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170190,
+    "notes": null
+  },
+  {
+    "canonical_name": "roasted pistachio",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.52,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170185,
+    "notes": "dry roasted, unsalted"
+  },
+  {
+    "canonical_name": "sesame seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.609,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170150,
+    "notes": "whole, dried"
+  },
+  {
+    "canonical_name": "split pea",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.828,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 172428,
+    "notes": "green, dried"
+  },
+  {
+    "canonical_name": "sunflower seed",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.393,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170562,
+    "notes": "kernels, dried"
+  },
+  {
+    "canonical_name": "sweetened shredded coconut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.393,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168586,
+    "notes": null
+  },
+  {
+    "canonical_name": "walnut",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.376,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170187,
+    "notes": "English walnut"
+  },
+  {
+    "canonical_name": "walnut oil",
+    "category": "nut-seed",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171030,
+    "notes": null
+  },
+  {
+    "canonical_name": "almond butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.069,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168588,
+    "notes": null
+  },
+  {
+    "canonical_name": "anhydrous butter oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173412,
+    "notes": "Nearly pure butterfat; functionally equivalent to ghee"
+  },
+  {
+    "canonical_name": "apricot kernel oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171032,
+    "notes": null
+  },
+  {
+    "canonical_name": "canola oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.927,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172336,
+    "notes": null
+  },
+  {
+    "canonical_name": "cashew butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.082,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170163,
+    "notes": null
+  },
+  {
+    "canonical_name": "cocoa butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171421,
+    "notes": null
+  },
+  {
+    "canonical_name": "coconut oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171412,
+    "notes": null
+  },
+  {
+    "canonical_name": "corn oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171029,
+    "notes": null
+  },
+  {
+    "canonical_name": "lard",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171401,
+    "notes": null
+  },
+  {
+    "canonical_name": "margarine",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.947,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 171431,
+    "notes": null
+  },
+  {
+    "canonical_name": "oat oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 173576,
+    "notes": null
+  },
+  {
+    "canonical_name": "olive oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.913,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171413,
+    "notes": null
+  },
+  {
+    "canonical_name": "palm kernel oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171422,
+    "notes": null
+  },
+  {
+    "canonical_name": "palm oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.915,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171015,
+    "notes": null
+  },
+  {
+    "canonical_name": "peanut butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.086,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174266,
+    "notes": "Smooth style"
+  },
+  {
+    "canonical_name": "peanut butter, chunky",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.086,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 174265,
+    "notes": null
+  },
+  {
+    "canonical_name": "safflower oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171027,
+    "notes": "High-oleic variety"
+  },
+  {
+    "canonical_name": "salted butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.96,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173410,
+    "notes": null
+  },
+  {
+    "canonical_name": "sesame oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171016,
+    "notes": null
+  },
+  {
+    "canonical_name": "sesame paste",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.082,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170191,
+    "notes": "Raw (unroasted) sesame butter; used in Chinese cooking — distinct from tahini"
+  },
+  {
+    "canonical_name": "soybean oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.918,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171012,
+    "notes": null
+  },
+  {
+    "canonical_name": "sunflower oil",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.927,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172338,
+    "notes": "High-oleic variety; more heat-stable"
+  },
+  {
+    "canonical_name": "sunflower seed butter",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.082,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 168595,
+    "notes": null
+  },
+  {
+    "canonical_name": "tahini",
+    "category": "oil-fat",
+    "density_g_per_ml": 1.014,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 170189,
+    "notes": "Roasted sesame seed butter"
+  },
+  {
+    "canonical_name": "vegetable shortening",
+    "category": "oil-fat",
+    "density_g_per_ml": 0.866,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 173584,
+    "notes": null
+  },
+  {
+    "canonical_name": "apple",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.495,
+    "default_unit_class": "count",
+    "common_size_g": 180,
+    "usda_fdc_id": 171688,
+    "notes": null
+  },
+  {
+    "canonical_name": "avocado",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.741,
+    "default_unit_class": "count",
+    "common_size_g": 200,
+    "usda_fdc_id": 171705,
+    "notes": null
+  },
+  {
+    "canonical_name": "banana",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.793,
+    "default_unit_class": "count",
+    "common_size_g": 118,
+    "usda_fdc_id": 173944,
+    "notes": null
+  },
+  {
+    "canonical_name": "crabapple",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.465,
+    "default_unit_class": "count",
+    "common_size_g": 75,
+    "usda_fdc_id": 171721,
+    "notes": null
+  },
+  {
+    "canonical_name": "grape",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.638,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 174683,
+    "notes": "European type (red or green seedless); sold by weight, measured by cup in recipes"
+  },
+  {
+    "canonical_name": "grapefruit",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.972,
+    "default_unit_class": "count",
+    "common_size_g": 246,
+    "usda_fdc_id": 174673,
+    "notes": "pink and red; most common market variety"
+  },
+  {
+    "canonical_name": "lemon",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.896,
+    "default_unit_class": "count",
+    "common_size_g": 60,
+    "usda_fdc_id": 167746,
+    "notes": null
+  },
+  {
+    "canonical_name": "lemon peel",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.406,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 167749,
+    "notes": "fresh zest; used by teaspoon or tablespoon"
+  },
+  {
+    "canonical_name": "lime",
+    "category": "produce-fruit",
+    "density_g_per_ml": null,
+    "default_unit_class": "count",
+    "common_size_g": 65,
+    "usda_fdc_id": null,
+    "notes": "added; absent from source batch"
+  },
+  {
+    "canonical_name": "mango",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.697,
+    "default_unit_class": "count",
+    "common_size_g": 200,
+    "usda_fdc_id": 169910,
+    "notes": null
+  },
+  {
+    "canonical_name": "orange",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.761,
+    "default_unit_class": "count",
+    "common_size_g": 130,
+    "usda_fdc_id": 169097,
+    "notes": null
+  },
+  {
+    "canonical_name": "orange juice",
+    "category": "produce-fruit",
+    "density_g_per_ml": 1.048,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 169098,
+    "notes": "freshly squeezed"
+  },
+  {
+    "canonical_name": "orange peel",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.406,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 169103,
+    "notes": "fresh zest; used by teaspoon or tablespoon"
+  },
+  {
+    "canonical_name": "peach",
+    "category": "produce-fruit",
+    "density_g_per_ml": null,
+    "default_unit_class": "count",
+    "common_size_g": 150,
+    "usda_fdc_id": null,
+    "notes": "added; only processed peach variants in source batch"
+  },
+  {
+    "canonical_name": "pear",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.636,
+    "default_unit_class": "count",
+    "common_size_g": 178,
+    "usda_fdc_id": 169118,
+    "notes": null
+  },
+  {
+    "canonical_name": "pineapple",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.697,
+    "default_unit_class": "mixed",
+    "common_size_g": 900,
+    "usda_fdc_id": 169124,
+    "notes": "whole fruit ~900g; chunks measured by cup"
+  },
+  {
+    "canonical_name": "prickly pear",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.63,
+    "default_unit_class": "count",
+    "common_size_g": 103,
+    "usda_fdc_id": 167750,
+    "notes": null
+  },
+  {
+    "canonical_name": "strawberry",
+    "category": "produce-fruit",
+    "density_g_per_ml": null,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": null,
+    "notes": "added; sold by weight or pint, used by cup or count in recipes"
+  },
+  {
+    "canonical_name": "strawberry guava",
+    "category": "produce-fruit",
+    "density_g_per_ml": 1.031,
+    "default_unit_class": "count",
+    "common_size_g": 30,
+    "usda_fdc_id": 173045,
+    "notes": null
+  },
+  {
+    "canonical_name": "watermelon",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.647,
+    "default_unit_class": "mixed",
+    "common_size_g": null,
+    "usda_fdc_id": 167765,
+    "notes": "whole or cubed; use volume for flesh"
+  },
+  {
+    "canonical_name": "white grapefruit",
+    "category": "produce-fruit",
+    "density_g_per_ml": 0.972,
+    "default_unit_class": "count",
+    "common_size_g": 246,
+    "usda_fdc_id": 174676,
+    "notes": null
+  },
+  {
+    "canonical_name": "banana pepper",
+    "category": "spice",
+    "density_g_per_ml": 0.524,
+    "default_unit_class": "count",
+    "common_size_g": 33,
+    "usda_fdc_id": 169394,
+    "notes": "one medium banana pepper ~33 g"
+  },
+  {
+    "canonical_name": "basil",
+    "category": "spice",
+    "density_g_per_ml": 0.14,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 172232,
+    "notes": "fresh leaves"
+  },
+  {
+    "canonical_name": "cinnamon",
+    "category": "spice",
+    "density_g_per_ml": 0.527,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171320,
+    "notes": "ground"
+  },
+  {
+    "canonical_name": "cumin",
+    "category": "spice",
+    "density_g_per_ml": 0.416,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170923,
+    "notes": "whole seed; ground is similar density"
+  },
+  {
+    "canonical_name": "dried basil",
+    "category": "spice",
+    "density_g_per_ml": 0.218,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171317,
+    "notes": null
+  },
+  {
+    "canonical_name": "fresh ginger",
+    "category": "spice",
+    "density_g_per_ml": 0.406,
+    "default_unit_class": "mass",
+    "common_size_g": null,
+    "usda_fdc_id": 169231,
+    "notes": "raw root; sold by weight"
+  },
+  {
+    "canonical_name": "garlic powder",
+    "category": "spice",
+    "density_g_per_ml": 0.642,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171325,
+    "notes": null
+  },
+  {
+    "canonical_name": "ground ginger",
+    "category": "spice",
+    "density_g_per_ml": 0.358,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 170926,
+    "notes": null
+  },
+  {
+    "canonical_name": "jalapeño pepper",
+    "category": "spice",
+    "density_g_per_ml": 0.38,
+    "default_unit_class": "count",
+    "common_size_g": 14,
+    "usda_fdc_id": 168576,
+    "notes": "one medium jalapeño ~14 g"
+  },
+  {
+    "canonical_name": "onion powder",
+    "category": "spice",
+    "density_g_per_ml": 0.477,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171327,
+    "notes": null
+  },
+  {
+    "canonical_name": "oregano",
+    "category": "spice",
+    "density_g_per_ml": 0.284,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171328,
+    "notes": "dried"
+  },
+  {
+    "canonical_name": "paprika",
+    "category": "spice",
+    "density_g_per_ml": 0.463,
+    "default_unit_class": "volume",
+    "common_size_g": null,
+    "usda_fdc_id": 171329,
+    "notes": null
+  }
+]
diff --git a/cauldron/foods.py b/cauldron/foods.py
index f62322d..be08130 100644
--- a/cauldron/foods.py
+++ b/cauldron/foods.py
@@ -1,20 +1,22 @@
 """Foods catalog — canonical food rows + the seed loader.
 
-Phase A step 1 (v0.3): seed cauldron_foods from USDA SR Legacy via the
-JSON file at cauldron/data/foods_seed_usda.json. Idempotent — running
-multiple times is fine, INSERT IGNORE on the unique canonical_name key.
+Seed = cauldron/data/foods_seed.json (Sonnet-curated, ~229 clean rows
+with proper densities and unit classes). The raw USDA dump still lives
+at foods_seed_usda.json as a reference; we don't load it directly.
 
-Phase A step 2 (next commit): aggregator engine reads these rows + the
-per-household cauldron_food_mapping to group recipe ingredients.
-
-Phase A step 3 (later): claude-curated cleanup of the USDA seed (better
-names, missing common foods, count-based foods like 'egg' / 'onion').
+Lookup is exact + case-insensitive. Mealie's parser already
+canonicalizes food names household-side via its own alias system, so
+the food.name we get from Mealie is consistent across recipes. When a
+Mealie food name has no match in cauldron_foods, server.py's
+ensure_food() calls clawdforge to fetch density+unit_class+common_size_g
+for that exact name, persists it with source='claude', and the
+household's catalog grows organically.
 """
 import json
 from pathlib import Path
 
 
-SEED_PATH = Path(__file__).parent / "data" / "foods_seed_usda.json"
+SEED_PATH = Path(__file__).parent / "data" / "foods_seed.json"
 
 
 def seed_count(db) -> int:
@@ -53,13 +55,15 @@ def _load_seed_file(db, path: Path) -> int:
                     """
                     INSERT IGNORE INTO cauldron_foods
                       (canonical_name, category, density_g_per_ml,
-                       default_unit_class, usda_fdc_id, usda_description, source)
-                    VALUES (%s, %s, %s, %s, %s, %s, 'usda')
+                       common_size_g, default_unit_class, usda_fdc_id,
+                       usda_description, source)
+                    VALUES (%s, %s, %s, %s, %s, %s, %s, 'usda')
                     """,
                     (
                         entry["canonical_name"][:255],
                         entry.get("category"),
                         entry.get("density_g_per_ml"),
+                        entry.get("common_size_g"),
                         entry.get("default_unit_class") or "mass",
                         entry.get("usda_fdc_id"),
                         (entry.get("usda_description") or "")[:500],
@@ -72,25 +76,65 @@ def _load_seed_file(db, path: Path) -> int:
     return inserted
 
 
-def search_food(db, name: str, *, limit: int = 5) -> list[dict]:
-    """Best-effort canonical food lookup by name (used by aggregator + UI)."""
+def search_food(db, name: str, *, limit: int = 1) -> list[dict]:
+    """Case-insensitive exact match. Returns [] on miss.
+
+    `limit` kept for backwards-compat with callers; only ever returns 0 or 1.
+    """
+    name_clean = (name or "").strip().lower()
+    if not name_clean:
+        return []
+    with db.conn() as c, c.cursor() as cur:
+        cur.execute(
+            """SELECT id, canonical_name, category, density_g_per_ml,
+                      default_unit_class, common_size_g, source
+               FROM cauldron_foods
+               WHERE LOWER(canonical_name) = %s
+               LIMIT 1""",
+            (name_clean,),
+        )
+        row = cur.fetchone()
+        return [dict(row)] if row else []
+
+
+def upsert_claude_food(
+    db,
+    *,
+    canonical_name: str,
+    density_g_per_ml: float | None,
+    default_unit_class: str,
+    common_size_g: float | None,
+    category: str | None = None,
+) -> dict:
+    """Insert (or update if a row already exists) a canonical food row from
+    a clawdforge response. Returns the row as a dict. Idempotent."""
+    name = canonical_name.strip().lower()[:255]
+    cls = (default_unit_class or "mass").lower()
+    if cls not in ("mass", "volume", "count", "mixed"):
+        cls = "mass"
     with db.conn() as c, c.cursor() as cur:
         cur.execute(
             """
-            SELECT id, canonical_name, category, density_g_per_ml,
-                   default_unit_class, common_size_g
-            FROM cauldron_foods
-            WHERE canonical_name LIKE %s OR canonical_name LIKE %s
-            ORDER BY
-              (CASE WHEN canonical_name = %s THEN 0
-                    WHEN canonical_name LIKE %s THEN 1
-                    ELSE 2 END),
-              CHAR_LENGTH(canonical_name)
-            LIMIT %s
+            INSERT INTO cauldron_foods
+              (canonical_name, category, density_g_per_ml,
+               common_size_g, default_unit_class, source)
+            VALUES (%s, %s, %s, %s, %s, 'claude')
+            ON DUPLICATE KEY UPDATE
+              category=COALESCE(VALUES(category), category),
+              density_g_per_ml=COALESCE(VALUES(density_g_per_ml), density_g_per_ml),
+              common_size_g=COALESCE(VALUES(common_size_g), common_size_g),
+              default_unit_class=VALUES(default_unit_class),
+              source='claude'
             """,
-            (f"{name}%", f"%{name}%", name, f"{name}%", limit),
+            (name, category, density_g_per_ml, common_size_g, cls),
         )
-        return [dict(r) for r in cur.fetchall()]
+        cur.execute(
+            """SELECT id, canonical_name, category, density_g_per_ml,
+                      default_unit_class, common_size_g, source
+               FROM cauldron_foods WHERE LOWER(canonical_name)=%s LIMIT 1""",
+            (name,),
+        )
+        return dict(cur.fetchone())
 
 
 def get_food(db, food_id: int) -> dict | None:
diff --git a/cauldron/forge.py b/cauldron/forge.py
index f6fed2e..5087fb3 100644
--- a/cauldron/forge.py
+++ b/cauldron/forge.py
@@ -215,6 +215,73 @@ class Forge:
         )
 
 
+    def fetch_food_info(self, name: str, *, model: str | None = None) -> dict:
+        """Ask Sonnet for density + unit class + common size of a single
+        food. Returns a dict shaped like:
+
+            {"density_g_per_ml": 1.04 | null,
+             "default_unit_class": "mass"|"volume"|"count",
+             "common_size_g": 150.0 | null,
+             "category": "produce"|"dairy"|... | null}
+
+        density_g_per_ml is null when the food doesn't sensibly convert
+        between mass and volume (e.g., whole onions, eggs — these are
+        count-style). common_size_g lets the aggregator handle "1 onion"
+        as a count → mass conversion. Cheap call, cached forever once
+        persisted to cauldron_foods.
+        """
+        prompt = (
+            f"Give nutritional/cooking metadata for the food: {name!r}.\n\n"
+            "Output JSON ONLY, no prose: "
+            '{"density_g_per_ml": float|null, '
+            '"default_unit_class": "mass"|"volume"|"count", '
+            '"common_size_g": float|null, '
+            '"category": "produce"|"dairy"|"meat"|"grain"|"baking"|"pantry"'
+            '|"spice"|"oil"|"beverage"|"other"|null}\n\n'
+            "Rules:\n"
+            "- density_g_per_ml: typical packed/cooking density. Null if "
+            "the food is count-based (whole onions, eggs).\n"
+            "- default_unit_class: how this food is most often measured "
+            "(salt=mass; milk=volume; egg=count).\n"
+            "- common_size_g: the typical mass of one whole unit (1 onion "
+            "≈ 150g; 1 egg ≈ 50g). Null if the food isn't naturally counted.\n"
+            "- category: best single fit; null if uncertain.\n"
+        )
+        result = self.run(prompt, model=model or "sonnet", timeout_secs=60)
+        return _extract_food_info(result)
+
+
+def _extract_food_info(forge_result: dict) -> dict:
+    """Normalize clawdforge wrapper → food info dict. Defensive on shapes."""
+    if not isinstance(forge_result, dict):
+        raise ForgeError("forge result not a dict")
+    inner = forge_result.get("result", forge_result)
+    if isinstance(inner, str):
+        inner = _parse_json_blob(inner)
+    if not isinstance(inner, dict):
+        raise ForgeError(f"forge result not a dict: {str(inner)[:200]}")
+
+    cls = (inner.get("default_unit_class") or "mass").strip().lower()
+    if cls not in ("mass", "volume", "count", "mixed"):
+        cls = "mass"
+
+    def _f(v):
+        if v is None:
+            return None
+        try:
+            x = float(v)
+            return x if x > 0 else None
+        except (TypeError, ValueError):
+            return None
+
+    return {
+        "density_g_per_ml": _f(inner.get("density_g_per_ml")),
+        "default_unit_class": cls,
+        "common_size_g": _f(inner.get("common_size_g")),
+        "category": (inner.get("category") or None) and str(inner["category"])[:64],
+    }
+
+
 def _extract_plan_slots(forge_result: dict):
     """clawdforge wraps its return; the JSON we asked for can sit in a few
     different shapes. Normalize aggressively."""
diff --git a/cauldron/server.py b/cauldron/server.py
index 39728c7..001675c 100644
--- a/cauldron/server.py
+++ b/cauldron/server.py
@@ -501,8 +501,6 @@ def create_app() -> Flask:
 
         plan = db.get_or_create_plan(hid, this_monday)
         db.enrich_plan_with_slots(plan)
-        scoreboard = db.household_scoreboard(hid)
-        streak = db.household_streak(hid)
         pick_count = len(db.list_household_pick_slugs(hid))
 
         # Resolve display names for any subs we render — locked_by + every
@@ -523,8 +521,6 @@ def create_app() -> Flask:
             locked_by_display=locked_by_display,
             generated_by_display=generated_by_display,
             sub_display=sub_display,
-            scoreboard=scoreboard,
-            streak=streak,
             current_user_sub=u["sub"],
             pick_count=pick_count,
             active="plan",
@@ -611,15 +607,6 @@ def create_app() -> Flask:
                 "plan": _plan_payload(plan),
             }), 409
 
-        # Award 1pt per pick that landed (one row per (sub, pick_used) per
-        # plan, deduped client-side: a pick with two pickers gives both 1pt).
-        for s in slots:
-            for sub in s.get("picker_subs") or []:
-                try:
-                    db.award_pick_points(hid, plan["id"], sub, 1, "pick_used")
-                except Exception as exc:
-                    app.logger.warning("award_pick_points failed for %s: %s", sub, exc)
-
         plan = db.mark_plan_generated(plan["id"], u["sub"])
         db.enrich_plan_with_slots(plan)
         return jsonify({"ok": True, "plan": _plan_payload(plan)})
@@ -678,12 +665,6 @@ def create_app() -> Flask:
             return jsonify({"error": "forge_failed", "detail": str(e)}), 502
 
         db.save_plan_slots(plan["id"], slots)
-        for s in slots:
-            for sub in s.get("picker_subs") or []:
-                try:
-                    db.award_pick_points(hid, plan["id"], sub, 1, "pick_used")
-                except Exception as exc:
-                    app.logger.warning("award_pick_points failed for %s: %s", sub, exc)
         plan = db.mark_plan_generated(plan["id"], u["sub"])
         db.enrich_plan_with_slots(plan)
         return jsonify({"ok": True, "plan": _plan_payload(plan)})
@@ -739,9 +720,39 @@ def create_app() -> Flask:
                     original_text=ri.get("display") or _ing_render(qty, unit, food_name, note),
                 ))
 
+        # foods_lookup: exact match → clawdforge fallback that persists.
+        # Per-request cache so the same food in multiple recipes isn't
+        # re-queried within one /list render.
+        lookup_cache: dict[str, dict | None] = {}
+
         def foods_lookup(name: str):
-            hits = foods.search_food(db, name, limit=1)
-            return hits[0] if hits else None
+            key = (name or "").strip().lower()
+            if not key:
+                return None
+            if key in lookup_cache:
+                return lookup_cache[key]
+            hits = foods.search_food(db, key, limit=1)
+            if hits:
+                lookup_cache[key] = hits[0]
+                return hits[0]
+            # Miss — ask clawdforge, persist, return. On any failure, cache
+            # None for this request so we don't spam the model.
+            try:
+                info = forge.fetch_food_info(key)
+                row = foods.upsert_claude_food(
+                    db,
+                    canonical_name=key,
+                    density_g_per_ml=info.get("density_g_per_ml"),
+                    default_unit_class=info.get("default_unit_class") or "mass",
+                    common_size_g=info.get("common_size_g"),
+                    category=info.get("category"),
+                )
+                lookup_cache[key] = row
+                return row
+            except Exception as exc:
+                app.logger.warning("forge.fetch_food_info(%r) failed: %s", key, exc)
+                lookup_cache[key] = None
+                return None
 
         lines = aggregator.aggregate(raw_ings, foods_lookup)
         return render_template(
diff --git a/cauldron/templates/plan.html b/cauldron/templates/plan.html
index b1ef3f4..a44aa18 100644
--- a/cauldron/templates/plan.html
+++ b/cauldron/templates/plan.html
@@ -93,9 +93,9 @@
       · {{ plan.locked_at.strftime('%a %-I:%M %p') }}
     {% elif plan.slots %}
       generated{% if generated_by_display %} by <span style="color: var(--green-bright);">{{ generated_by_display }}</span>{% endif %}.
-      lock when ready — first to lock takes the week.
+      lock it in when the household has agreed.
     {% else %}
-      {{ pick_count }} pinned in the pool. summon the planner to build a 7-day plan, then race to lock.
+      {{ pick_count }} pinned in the pool. summon the planner to build a 7-day plan.
     {% endif %}
   </div>
 </div>
@@ -115,15 +115,12 @@
 
   {% if plan.locked_at %}
     <p>this week's plan is locked. it'll archive Sunday night and a fresh week opens Monday.</p>
-    {% if plan.locked_reason == 'user' and plan.locked_by_sub == current_user_sub %}
-      <p class="muted">🏆 you locked this one in.</p>
-    {% endif %}
   {% elif not plan.slots %}
     <p>no plan yet. summon claude to build one from the {{ pick_count }} pinned pick{{ '' if pick_count == 1 else 's' }} + the rest of the grimoire.</p>
     <button class="gen-cta" type="button" id="gen-btn" onclick="generatePlan(this)">🪄 generate this week's plan</button>
     <div class="gen-meta" id="gen-meta">sonnet · ~30s</div>
   {% else %}
-    <p>plan's set. lock it in to claim the week — first to lock wins.</p>
+    <p>plan's set.</p>
     <div class="btn-row">
       <button class="btn btn-purple" type="button" onclick="lockPlan(this)">🔒 lock this week</button>
       {% if plan.generated_by_sub == current_user_sub %}
@@ -159,53 +156,6 @@
 </section>
 {% endif %}
 
-<section class="panel">
-  <div class="panel-head">
-    <h2>scoreboard</h2>
-    <span class="ctx">picks landed · weeks won</span>
-  </div>
-
-  {% if streak and streak.count >= 2 %}
-  <p style="font-size: 1.05em; margin: .2em 0 1em 0;">
-    🔥 <strong style="color: var(--green-bright);">{{ streak.display_name }}</strong>
-    on a <strong>{{ streak.count }}-week</strong> run.
-  </p>
-  {% endif %}
-
-  {% if scoreboard and scoreboard|selectattr("points")|list or scoreboard and scoreboard|selectattr("wins")|list %}
-  <table style="width: 100%; border-collapse: collapse; font-size: .95em;">
-    <thead>
-      <tr style="border-bottom: 1px solid var(--line);">
-        <th style="text-align: left; color: var(--purple); font-size: 11px; letter-spacing: .15em; text-transform: uppercase; font-family: var(--mono); font-weight: 600; padding: 6px 0;">member</th>
-        <th style="text-align: right; color: var(--purple); font-size: 11px; letter-spacing: .15em; text-transform: uppercase; font-family: var(--mono); font-weight: 600; padding: 6px 0;">pts</th>
-        <th style="text-align: right; color: var(--purple); font-size: 11px; letter-spacing: .15em; text-transform: uppercase; font-family: var(--mono); font-weight: 600; padding: 6px 0;">wins</th>
-        <th style="text-align: right; color: var(--purple); font-size: 11px; letter-spacing: .15em; text-transform: uppercase; font-family: var(--mono); font-weight: 600; padding: 6px 0;">last</th>
-      </tr>
-    </thead>
-    <tbody>
-      {% for s in scoreboard %}
-      <tr style="border-bottom: 1px solid var(--line-soft);">
-        <td style="padding: 8px 0;">
-          {{ loop.index }}.
-          <strong style="color: {% if loop.first and (s.points or s.wins) %}var(--green-bright){% else %}var(--bone){% endif %};">
-            {{ s.display_name or s.email.split('@')[0] }}
-          </strong>
-          {% if s.sub == current_user_sub %}<span class="muted">· you</span>{% endif %}
-        </td>
-        <td style="text-align: right; padding: 8px 0; font-family: var(--mono); color: var(--bone);">{{ s.points or 0 }}</td>
-        <td style="text-align: right; padding: 8px 0; font-family: var(--mono); color: var(--bone);">{{ s.wins or 0 }}</td>
-        <td style="text-align: right; padding: 8px 0; font-family: var(--mono); color: var(--muted); font-size: .85em;">
-          {{ s.last_win.strftime('%b %-d') if s.last_win else '—' }}
-        </td>
-      </tr>
-      {% endfor %}
-    </tbody>
-  </table>
-  {% else %}
-    <p class="muted">nobody's locked or generated yet. be the first.</p>
-  {% endif %}
-</section>
-
 <script>
 async function lockPlan(btn) {
   btn.disabled = true; btn.textContent = '…';
@@ -243,7 +193,7 @@ async function generatePlan(btn) {
 }
 
 async function rerollPlan(btn) {
-  if (!confirm('re-roll the week? slots + points reset.')) return;
+  if (!confirm('re-roll the week? slots will be replaced.')) return;
   btn.disabled = true; btn.textContent = '…';
   try {
     const r = await fetch('/api/plan/regenerate', { method: 'POST' });
diff --git a/scripts/clean_foods_seed.py b/scripts/clean_foods_seed.py
new file mode 100644
index 0000000..e58821a
--- /dev/null
+++ b/scripts/clean_foods_seed.py
@@ -0,0 +1,209 @@
+#!/usr/bin/env python3
+"""Clean the USDA-derived foods seed via clawdforge → Sonnet, in batches.
+
+Input:  cauldron/data/foods_seed_usda.json (~2462 noisy rows)
+Output: cauldron/data/foods_seed.json     (curated, ~500-800 rows)
+
+Why batched: 2462 entries × 200 chars = 577KB prompt; Sonnet hit timeout
+on the single-shot curation. Splitting by category keeps each batch ~30-80
+entries → ~50KB prompt → ~30-60s round-trip.
+
+Run with:
+  CLAWDFORGE_TOKEN=cf_... python3 scripts/clean_foods_seed.py
+"""
+import json
+import os
+import sys
+import time
+from collections import defaultdict
+from pathlib import Path
+
+import requests
+
+
+HERE = Path(__file__).parent.parent
+RAW_PATH = HERE / "cauldron/data/foods_seed_usda.json"
+OUT_PATH = HERE / "cauldron/data/foods_seed.json"
+
+CLAWDFORGE_URL = os.environ.get("CLAWDFORGE_URL", "http://192.168.0.5:8800")
+CLAWDFORGE_TOKEN = os.environ["CLAWDFORGE_TOKEN"]
+
+
+# Suggested count-foods to add per category — Sonnet uses these as seeds
+# but is free to add more.
+COUNT_FOODS_HINTS = {
+    "produce-vegetable": "onion (~150g), garlic clove (~5g), tomato (~120g), "
+                         "potato (~170g), bell pepper (~120g), jalapeno (~14g), "
+                         "shallot (~25g), carrot (~60g), leek (~90g)",
+    "produce-fruit":     "apple (~180g), banana (~118g), orange (~130g), "
+                         "lemon (~60g), lime (~65g), avocado (~200g), peach (~150g)",
+    "dairy":             "egg (~50g large, count not mass), slice cheese (~28g)",
+    "grain":             "slice bread (~28g), tortilla (~50g)",
+    "meat":              "(no count hints — meat is sold by weight)",
+    "legume":            "can (~425g drained tomato/bean/etc when relevant)",
+    "condiment":         "can (~400g for canned tomato/coconut milk)",
+    "oil-fat":           "(none — sold by volume or weight)",
+    "spice":             "(none — pinch/dash for to-taste)",
+    "baking":            "(none unless slice-of-X applies)",
+    "beverage":          "(none — bought in bottles, treat as volume)",
+    "nut-seed":          "(none — sold by weight)",
+    "other":             "(skip count hints)",
+}
+
+
+SYSTEM_PROMPT = """You are a culinary database curator. You receive a small batch
+of raw USDA-derived food entries (one category at a time) and produce a clean,
+useful subset for a family meal-planning app.
+
+OUTPUT: ONE valid JSON object. No markdown fences, no prose, JSON only:
+
+{
+  "foods": [
+    {
+      "canonical_name": "<short singular noun, lowercase>",
+      "category": "<input_category>",
+      "density_g_per_ml": <number or null>,
+      "default_unit_class": "<one of: mass, volume, count, mixed>",
+      "common_size_g": <number or null>,
+      "usda_fdc_id": <int or null>,
+      "notes": <string or null>
+    }
+  ]
+}
+
+RULES:
+
+1. **Drop ruthlessly** — composite/prepared meals, brand-laden entries
+   (PILLSBURY ..., GERBER ...), babyfood, alcoholic beverages, fast food,
+   ready-to-eat junk, sulfured/preserved derivatives.
+
+2. **Normalize canonical_name** to the simplest cooking form:
+   - "Apples, raw" → "apple"
+   - "Rice, white, long-grain, regular, raw" → "white rice" (or "rice")
+   - "Pepper, black, ground" → "black pepper"
+   - "Mayonnaise, reduced fat, with olive oil" → DROP (variant)
+   - Keep meaningful distinctions ("brown rice" vs "white rice", "salted butter" vs "unsalted butter")
+
+3. **Preserve density_g_per_ml** from the input — don't re-derive.
+
+4. **default_unit_class**:
+   - mass: dry goods sold by weight (rice, flour, sugar, meat, beans, butter)
+   - volume: liquids (milk, oil, juice, syrup, vinegar)
+   - count: discrete items (egg, onion, garlic clove, lemon, slice bread)
+   - mixed: bought in different forms (cheese — block vs shredded; salt — pinch vs grams)
+
+5. **For count foods, set common_size_g** so the aggregator can convert
+   "2 onions + 1 cup chopped onion" sensibly.
+
+6. **ADD common count-based foods USDA doesn't track for this category**
+   if they're missing. Suggested hints will be supplied per category.
+
+7. Cap output at **80 foods per category**. Quality over quantity. Drop
+   variants — pick the canonical form and skip the rest.
+
+8. JSON only. No markdown fences. No preamble."""
+
+
+USER_PROMPT_TEMPLATE = """Curate the **{category}** entries below.
+
+Input: {n} raw entries.
+
+Suggested count-foods to add for this category if missing:
+{hints}
+
+Entries:
+{json}"""
+
+
+def main():
+    raw = json.loads(RAW_PATH.read_text())
+    print(f"Loaded {len(raw)} raw foods", file=sys.stderr)
+
+    # Bucket by category
+    by_cat: dict[str, list[dict]] = defaultdict(list)
+    for r in raw:
+        by_cat[r.get("category") or "other"].append(r)
+
+    print(f"Categories: {[(c, len(items)) for c, items in sorted(by_cat.items(), key=lambda x: -len(x[1]))]}", file=sys.stderr)
+    print(file=sys.stderr)
+
+    all_foods: list[dict] = []
+    seen_canonical: set[str] = set()
+    total_dropped = 0
+
+    for cat in sorted(by_cat.keys()):
+        items = by_cat[cat]
+        # 'other' is too noisy + low-priority — process last and let Sonnet drop ~all
+        # we'll run it but cap at first 100 entries to keep prompt size sane
+        slice_items = items[:120] if cat != "other" else items[:80]
+
+        prompt = USER_PROMPT_TEMPLATE.format(
+            category=cat,
+            n=len(slice_items),
+            hints=COUNT_FOODS_HINTS.get(cat, "(none)"),
+            json=json.dumps(slice_items, ensure_ascii=False),
+        )
+
+        print(f"[{cat}] {len(slice_items)} entries → ", end="", file=sys.stderr, flush=True)
+        t0 = time.monotonic()
+        try:
+            r = requests.post(
+                f"{CLAWDFORGE_URL.rstrip('/')}/run",
+                headers={"Authorization": f"Bearer {CLAWDFORGE_TOKEN}"},
+                json={
+                    "prompt": prompt,
+                    "system": SYSTEM_PROMPT,
+                    "model": "sonnet",
+                    "timeout_secs": 180,
+                },
+                timeout=210,
+            )
+        except requests.RequestException as e:
+            print(f"transport err: {e}", file=sys.stderr)
+            continue
+
+        dur = time.monotonic() - t0
+
+        if r.status_code >= 400:
+            print(f"HTTP {r.status_code} ({dur:.1f}s) body={r.text[:200]}", file=sys.stderr)
+            continue
+
+        body = r.json()
+        if not body.get("ok"):
+            print(f"forge !ok ({dur:.1f}s) {body.get('error', '')}", file=sys.stderr)
+            continue
+
+        result = body.get("result")
+        if isinstance(result, str):
+            try:
+                result = json.loads(result)
+            except json.JSONDecodeError:
+                print(f"non-JSON result ({dur:.1f}s)", file=sys.stderr)
+                continue
+
+        foods = result.get("foods") or [] if isinstance(result, dict) else []
+        kept = 0
+        for f in foods:
+            cn = (f.get("canonical_name") or "").strip().lower()
+            if not cn or cn in seen_canonical:
+                continue
+            f["canonical_name"] = cn
+            f["category"] = cat   # enforce category from outer batch
+            seen_canonical.add(cn)
+            all_foods.append(f)
+            kept += 1
+        dropped = len(slice_items) - kept
+        total_dropped += max(0, dropped)
+        print(f"{kept} kept, ~{max(0, dropped)} dropped ({dur:.1f}s)", file=sys.stderr)
+
+    all_foods.sort(key=lambda x: (x["category"] or "", x["canonical_name"]))
+
+    print(file=sys.stderr)
+    print(f"Total cleaned: {len(all_foods)} foods", file=sys.stderr)
+
+    OUT_PATH.write_text(json.dumps(all_foods, indent=2, ensure_ascii=False) + "\n")
+    print(f"Wrote {OUT_PATH}", file=sys.stderr)
+
+
+if __name__ == "__main__":
+    main()