DataFood Engine.Monexa Data Node
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Verified Asset
High Efficiency

Variety pack.

Metabolic profile analysis. Technical breakdown of Variety pack and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy2kcal
Bio-Protein5g
Carbohydrates91g
Total Lipids0g

Nutritional Efficiency Report

Variety pack is a very low-calorie food with low-protein content. At 2 kcal per 100g, it delivers 5g of protein — representing 1000% of its total caloric load. Carbohydrates account for 18200% and fats for 0% of calories.

"Efficiency Score 1.00 — this asset ranks in the top tier of the DataFood database for protein delivery per calorie. Optimal for fat loss, lean bulking, and body recomposition phases."

At 91g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 2 kcal per 100g, Variety pack is a high-volume food — you can consume a large serving while keeping total caloric intake controlled. This makes it particularly effective for hunger management in deficit phases.

Protocol Compatibility

Ketosis Impact

At 91g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 5g protein per 100g, the thermic contribution is moderate. Pairing with higher-protein sources increases the overall TEF of your meal and supports lean mass retention.

Expand Your Protocol.

Based on the metabolic profile of Variety pack, these related data nodes are most relevant to your nutrition architecture:

Fat Loss Foods Database Balanced Nutrition Guide

Integrate Asset.

Use the clinical weekly planner to distribute Variety pack across your metabolic windows.

Generate Weekly Protocol

Input physical metrics to generate a synchronized 7-day protocol.

1. Biological Metrics

2. Dietary Logic

Institutional Disclaimer: The nutritional data provided for Variety pack is derived from clinical databases and algorithmic estimation. This report is for metabolic infrastructure planning only and does not constitute medical advice. Consult a clinical nutritionist before implementing aggressive deficit protocols.