Real-world food data for health programs
Replace unreliable food diaries with passive grocery data. See what your clients actually eat — not what they remember to log.
Food logging doesn't work
of users abandon food diaries within the first week
underreporting in self-reported dietary intake
of U.S. calories consumed at home — where grocery data matters most
Powered by depth, not guesswork
Every product in our catalog is enriched with full nutritional profiles, health scores, dietary flags, and ingredient-level analysis — not just a calorie count.
nutrition & product data points
products with verified nutrition
retailer SKUs mapped & matched
nutrients tracked per product
How It Works
1. Capture
Clients link grocery loyalty accounts or scan receipts. Truly passive — no manual logging required.
2. Normalize
Items mapped to verified nutrition data with confidence scores. AI models understand eating patterns.
3. Deliver
Weekly client metrics, 2-minute briefs, behavior deltas. Integration-ready for your platform.
Platform Data
Structured data objects from raw receipts to coach-ready insights
Receipt
Raw transaction data from loyalty accounts or scanned receipts with retailer, date, and item list.
Items
Individual products mapped to standardized UPCs with nutrition data, brand, and category.
Signals
Derived nutrition metrics: macros, UPF ratio, produce density, dietary pattern scores.
Confidence
Quality scores for each data point indicating match certainty and data completeness.
Brief
Coach-ready 2-minute summaries highlighting key insights and recommended actions.
Cohort
Aggregate metrics across populations for outcomes reporting and benchmarking.
Available Now
- CSV & PDF exports for all data objects
- Weekly coach briefs with key insights
- Confidence scores on all signals
Coming Soon
- Embeddable widgets for your platform
- Webhooks for real-time data events
- RESTful API access
Peppermint Copilot
Peppermint signals for AI coaching. Our MCP-ready architecture means food signals can power the next generation of AI health assistants and coaching tools.
- Context-rich food signals for LLM prompts
- Structured data for consistent AI responses
- Privacy-preserving signal delivery
Differentiated from raw data — Peppermint signals are confidence-scored, contextual, and ready for AI consumption.
Built for
GLP-1 & Metabolic Programs
Double nutrition visit impact with real purchase visibility. Reduce rebound risk.
Registered Dietitians
Focus visits on meaningful data, not reconstructing half-finished food diaries.
Wellness Platforms
Add real food data to your offering. API-ready integration for your existing stack.