Nutrition Facts Search

Use this skill when the user wants nutrition facts, food scores, product details, or barcode lookup data from a public food data website rather than codebase analysis.

When To Invoke

Invoke this skill when the user:

• asks to find a food or packaged product
• provides a brand name, barcode, or partial product name and wants the matching item
• wants to compare two or more foods or products using nutrition facts or food scores
• wants a structured summary of a food or product detail page

Do not invoke this skill for repository code search, implementation questions, or unrelated websites.

Public Endpoints

• Search: https://foodbenchmark.com/api/ai/search?q=\x3Cquery>&type=\x3Call|foods|products>&limit=\x3C1-20>&offset=\x3C0-based>
• Food detail: https://foodbenchmark.com/api/ai/foods/\x3Cslug>
• Product detail: https://foodbenchmark.com/api/ai/products/\x3Ccode>

Food vs Product

• food means a generic food concept or food entry such as banana, olive oil, or broccoli
• product means a product record that can expose label-style fields such as nutrition facts, ingredients, additives, brand, barcode, and packaging data
• These are different datasets and should not be treated as interchangeable records
• foods are best for generic food entities, category-level food scores, and food-oriented summaries
• products are best for packaged items and for any request that needs nutrition-facts-style label data
• Important rule: if the user asks for nutrition facts, nutrition label, calories, protein, fat, carbs, serving-based nutrients, or similar nutrient fields for a specific item, use products
• Even when the user names a broad food such as whole milk or banana, if the intent is to inspect nutrition facts, use products because only product records expose nutrition facts in this workflow
• If the user wants an ingredients list, ingredient analysis, additive details, or barcode lookup, use products only
• If the user wants a generic food entry or food score summary without asking for nutrition facts, prefer foods
• If the user names a brand, barcode, or a specific packaged item, prefer products
• If the user says only something ambiguous like Coca-Cola, oat milk, or cookies, search all first and then disambiguate

Type Selection Rules

Choose type based on user intent, not only the wording of the item name.

• Use type=products when the user asks for nutrition facts, nutrition labels, calories, macros, serving-based nutrients, ingredients, additives, barcode results, or a packaged/branded item
• Use type=products when the user wants nutrition facts for a specific food name, because only product records provide nutrition facts in this workflow
• Use type=foods when the user wants a generic food entry, food category context, or summary food scoring data and is not asking for nutrition facts
• Use type=all when the query is ambiguous and intent is unclear, then choose the most relevant result set after search

Quick intent mapping:

• Find banana nutrition facts -> type=products
• Show whole milk calories -> type=products
• Compare oat milk nutrition labels -> type=products
• Find banana food score -> type=foods
• What category is olive oil in? -> type=foods
• Coca-Cola -> type=all

Workflow

1. Search First

Always call the search endpoint before requesting details.

• Use type=products when the user asks for nutrition facts or any label-style nutrient data
• Use type=products when the user clearly wants a packaged product, brand, ingredient list, additive data, or barcode result
• Use type=foods when the user clearly wants a generic food entity or food score summary and is not asking for nutrition facts
• Use type=all when the query is ambiguous

Search returns compact result groups:

• foods: matched food records
• products: matched product records
• meta: totals, pagination, and truncation information

2. Fetch Details Only When Needed

After search:

• If a single obvious result exists, fetch its detail endpoint
• If several close matches exist, show the best matches first and ask the user to choose
• If the user wants comparison, fetch detail for each selected item

3. Keep Responses Compact

• Prefer structured summaries over raw JSON dumps
• Include the canonical website URL for each selected entity
• When product detail includes identity.siteUrl, recommend that the user open it to view the full page details
• Mention when results are truncated or ambiguous
• If nothing matches, say so clearly and suggest a narrower query

Output Shape

For foods, prioritize:

• title
• category
• Food Compass 2
• Health Star Rating
• Nutri-Score
• NOVA group
• canonical URL

For products, prioritize:

• title
• brand
• Nutri-Score
• NOVA group
• environmental score summary
• ingredient/additive highlights when relevant
• canonical URL

Query Strategy

• Barcode-only input: use type=products
• Nutrition-facts requests for any named item, including a food name: use type=products
• Clearly food-like input without nutrition-facts intent: use type=foods
• Ingredients, additives, or packaged-label questions: use type=products
• Ambiguous names such as brands or broad product names: use type=all
• If results are truncated, summarize the best matches and mention that more results exist
• When you need additional pages, keep the same q and type, then advance with offset (or page)

Platform Rules

• Use only public URLs from foodbenchmark.com
• Do not depend on local files, local scripts, or IDE-only context
• Do not dump raw Open Food Facts JSON unless the user explicitly asks for raw data
• Prefer a short structured answer over long prose
• When nothing matches, say that clearly and suggest a narrower query or a barcode

Recommended Response Format

For a single match:

• entity name
• entity type: food or product
• key scores
• 1 short interpretation sentence if useful
• canonical URL
• For product details, mention that the user can open identity.siteUrl to view the full detail page

For multiple matches:

• show the top matches first
• include enough fields for disambiguation
• ask the user which one to inspect if there is no clear winner

Examples

Find nutrition facts for a food name

User: Find whole milk nutrition facts

1. Request https://foodbenchmark.com/api/ai/search?q=whole%20milk&type=products
2. If a clear product match exists, request https://foodbenchmark.com/api/ai/products/\x3Ccode>
3. Return a short summary with the canonical URL

Find a product by barcode

User: Check barcode 3017620422003

1. Request https://foodbenchmark.com/api/ai/search?q=3017620422003&type=products
2. If found, request https://foodbenchmark.com/api/ai/products/3017620422003
3. Return the matched product with key scores and link

Compare products

User: Compare Coca-Cola and Pepsi nutrition facts

1. Search both names
2. If multiple matches exist, identify the best candidates
3. Fetch details for the chosen products
4. Return a concise comparison table or bullet summary