🧠 iFoodData

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Food Quality Index (FQI)

The Food Quality Index is a measure of ingredient health and cleanliness based on federal MAHA (Make American Healthy Again) guidelines.

What is the FQI?

The Food Quality Index (FQI) scores foods from 1 to 10 by checking for the worst ingredients like trans fats, artificial dyes, preservatives, and ultra-processed additives — higher scores mean cleaner, healthier food.

How It Works

• Analyzes every ingredient using AI-powered parsing
• Flags synthetic dyes, preservatives, seed oils, trans fats, and more
• Returns a 1-10 score
• Categorizes into tiers: Excellent, Good, Fair, Poor, Very Poor

2025 MAHA (Make American Healthy) Guidelines

Based on the Make America Healthy Again initiative, the FQI helps identify ultra-processed and controversial ingredients. Learn more about the federal guidelines at the official MAHA report.

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API Services

Developer API

iFoodData provides a comprehensive REST API for developers to integrate nutrition intelligence into their applications.

Key Features

• Semantic search across 400K+ branded foods
• Food Quality Index scoring for every food item
• Advanced dietary filtering (high protein, low carb, etc.)
• Clean ingredient detection and flagging
• Vector-based similarity matching
• BigQuery-powered scalability

Get Started

Request an API key to start building with iFoodData. Our API documentation includes sample notebooks and integration guides.

Use Cases

• Fitness Apps: Personalized macro plans with clean-food filtering
• Meal Delivery: Nutrition-aware meal search with additive scoring
• CPG Product Teams: Benchmark against Food Quality Index scores
• GenAI Assistants: Power meal or shopping bots with smart food embeddings

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About iFoodData

\ud83e\udde0 iFoodData: The Intelligent Nutrition API for Developers & Innovators

iFoodData is a developer-first food intelligence platform that merges USDA FoodData Central with AI-enhanced scoring, dietary filtering, and semantic search. From GenAI meal planning to CPG benchmarking tools, iFoodData powers applications with structured nutrition data + layered insight.

Built by a pro bodybuilder and data scientist, iFoodData brings scientific rigor and cloud-scale performance to food analysis.

What Sets iFoodData Apart

• Food Quality Index™ (0–10 Clean Score): Every food automatically scored for ingredient health
• Expert Nutrition Categorization: Domain-specific attributes and functional tags
• Semantic Search Engine: Find food matches semantically across 300K+ branded foods

Technical Architecture

• Data Source: USDA FoodData Central (Branded + Foundation)
• Enrichment: BigQuery pipelines + Food Quality Index Flag Engine
• Semantic Layer: OpenAI embeddings + FAISS / pgvector
• API Layer: FastAPI on GCP Cloud Run
• Food Quality Index Analysis: Vertex AI (Gemini Flash) + OpenAI fallback

Ready to Build

Developer API with OpenAPI docs and sample notebooks. Food Quality Index scores included in every food response. Semantic endpoints return nearest clean substitutes. Cloud-hosted and containerized for instant deployment.

Start exploring at iFoodData.com

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Privacy Policy

Last updated: January 2025

Information We Collect

We collect minimal information necessary to provide our services, including search queries and API usage metrics. We do not collect personal information unless explicitly provided.

How We Use Information

Information is used solely to improve our services, provide search results, and maintain API performance. We do not sell or share data with third parties.

Data Security

We implement industry-standard security measures to protect data. All API communications are encrypted using HTTPS.

Contact

For privacy-related questions, please contact us through our website.

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Legal Disclaimer

No Medical Advice

The information provided by iFoodData is for informational purposes only and should not be considered medical or dietary advice. Always consult with a qualified healthcare professional before making dietary changes.

Data Accuracy

While we strive for accuracy, iFoodData relies on USDA FoodData Central and manufacturer-provided information. We cannot guarantee 100% accuracy of all nutritional data.

Food Quality Index Disclaimer

The MAHA Index is an algorithmic scoring system based on ingredient analysis. It should be used as one factor among many in making food choices, not as the sole determinant.

Limitation of Liability

iFoodData and its operators shall not be liable for any direct, indirect, incidental, or consequential damages arising from the use of this service or reliance on the information provided.

Terms of Use

By using iFoodData, you agree to use the service responsibly and in accordance with all applicable laws and regulations.