The first AI-powered API that syncs real-time continuous glucose monitor (CGM) data with local restaurant menus. We empower food delivery apps and health platforms to predict glycemic responses and recommend blood-sugar-safe meals instantly.
Connects directly with leading Continuous Glucose Monitors (Dexcom, Abbott) to ingest real-time glucose trends and insulin sensitivity data.
Automatically scrapes, standardizes, and deconstructs nutritional macros and hidden glycemic triggers from thousands of local restaurant menus.
Simulates how a specific meal will impact an individual user's blood sugar curve before they even place an order.
Delivers lightning-fast, dynamically sorted meal recommendations directly into your existing app's interface without slowing down the user experience.
Biometric data is processed ephemerally and encrypted end-to-end, ensuring strict compliance with global health data regulations.
For diabetics and pre-diabetics, eating out often feels like playing a dangerous guessing game. Our engine removes the fear of hidden sugars by only surfacing meals proven to fit their current metabolic state.
Food delivery and restaurant apps that integrate MetaMenu see massively higher engagement from health-conscious users and biohackers who rely on your platform for their daily safe dining.
Proactive health optimizers no longer need to manually calculate net carbs or guess a meal's glycemic index. We automate metabolic nutrition by translating raw clinical data into actionable, everyday food choices.
Users grant secure, one-click access to their real-time CGM hardware via our OAuth integration natively within your application.
Your app passes the user's geolocation and restaurant choices to the MetaMenu API, which immediately queries our proprietary database of mapped restaurant menus.
Our engine cross-references the user's current glucose trajectory with the exact ingredients and glycemic loads of the available menu items.
Your app receives a JSON payload of personalized, dynamically sorted meals guaranteed to keep the user's blood sugar in range, ready for display.
Choose the plan that works for you
For developers prototyping metabolic health integrations.
For scaling food delivery apps and health tracking platforms.
For national restaurant chains and major delivery networks.
Our API seamlessly integrates with Dexcom (G6/G7) and Abbott FreeStyle Libre (2/3) via their secure partner APIs, with Apple Health and Google Health Connect available as fallback data sources.
We utilize a combination of direct restaurant POS partnerships, verified public nutritional databases, and AI-driven ingredient deconstruction to estimate glycemic load with an 89% accuracy rate compared to clinical calorimetry.
Yes. MetaMenu AI is built as a headless REST and GraphQL API specifically for food delivery platforms, digital menus, and metabolic health apps to embed natively into their existing UI.
We process glucose data ephemerally to generate real-time recommendations. We do not store historic PHI on our servers unless explicitly requested by an enterprise client under a strict Business Associate Agreement (BAA).
Yes, if your app collects this data, you can pass recent insulin boluses or oral medication logs in the API request payload. Our predictive AI will factor these into the post-meal glucose simulation.
Give your users the confidence to eat out again. Get your API keys today and start building the future of automated metabolic nutrition.
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