DataFood Engine.Monexa Data Node
Live
1.00
Verified Asset
High Efficiency
Keto Protocol

Gusanitos.

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

Total Energy2kcal
Bio-Protein7g
Carbohydrates1g
Total Lipids5g

Nutritional Efficiency Report

Gusanitos is a very low-calorie food with low-protein content. At 2 kcal per 100g, it delivers 7g of protein — representing 1400% of its total caloric load. Carbohydrates account for 200% and fats for 2250% 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 only 1g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

With only 2 kcal per 100g, Gusanitos 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 only 1g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

Thermic Effect (TEF)

With 7g 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 Gusanitos, these related data nodes are most relevant to your nutrition architecture:

Keto Verified Assets Fat Loss Foods Database

Integrate Asset.

Use the clinical weekly planner to distribute Gusanitos 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 Gusanitos 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.