DataFood Engine.Monexa Data Node
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High Efficiency

Qaxwo somali.

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

Total Energy4kcal
Bio-Protein20g
Carbohydrates56g
Total Lipids0g

Nutritional Efficiency Report

Qaxwo somali is a very low-calorie food with moderate-protein content. At 4 kcal per 100g, it delivers 20g of protein — representing 2000% of its total caloric load. Carbohydrates account for 5600% 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 56g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 4 kcal per 100g, Qaxwo somali 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 56g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 20g 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 Qaxwo somali, 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 Qaxwo somali 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 Qaxwo somali 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.