HealthIQ Mega API
The definitive engine for processing dynamic fitness, nutrition, and advanced clinical actuarial data.
About HealthIQ
HealthIQ is a state-of-the-art C# .NET 9 API gateway designed to power modern B2B healthcare, wellness, and fitness platforms. Instead of relying on static mock databases, HealthIQ dynamically cross-references deep SQL pools and executes clinical-grade actuarial mathematics to provide authentic user analysis. By consuming raw physiological and biometric JSON payloads, the API instantly evaluates trajectories, constructs dynamic regiments, and runs longitudinal life-expectancy projections natively.
🏃 Fitness Engine
Connects directly to native SQL databases to dynamically generate unique, biomechanically-filtered workouts. Handles randomized routine construction based on requested difficulty thresholds and targeted muscle anatomy without repetition.
🥗 Nutrition Engine
Calculates basal metabolic rates and exact macronutrient breakdowns (Protein, Carbs, Fats) dynamically matching aggressive bulking or extreme cutting goals. Integrates specific dietary exclusion filters mapping against the massive Edamam Food Database infrastructure.
🧠 Clinical Insights
Deploys high-fidelity biometric mathematical models. Calculate precise 10-Year Cardiovascular Disease Risk profiling using standard Framingham tables, and process deep Gompertz mortality distributions for phenotypic biological age utilizing 9 unique clinical blood biomarker parameters.
Platform Usage & Implementation
All endpoints strictly expect and consume standard JSON payloads containing rigid scalar models. Clients are bound by mega ApiKey middleware and strict timing thresholds (e.g. Rate limits, Chronological active windows) to protect against asynchronous abuse payloads hitting the native SQL threads.
You can utilize the GUI portals in the navigator above to formulate and submit test payloads to the local API and monitor the immediate interception feedback blocks. Explicit interface structures, exact enumerations, and mathematical limits are documented in the unified Documentation Library.