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BMI API

Compute body mass index from metric input (height in centimeters, weight in kilograms), with optional output formatting via units.

Endpoint

  • GET /api/v1/bmi
  • POST /api/v1/bmi/post

Parameters

Name Type Required In Description
height number Yes Query/Body Height in centimeters.
weight number Yes Query/Body Weight in kilograms.
units string (metric,imperial) No Query/Body Output formatting preference. Defaults to metric.
lang string No Query Response language (en,es,de,fr,pt,ja,hi,ar).

Why Use This Endpoint

  • Add standard BMI scoring to onboarding and periodic check-ins.
  • Trigger lifestyle coaching workflows by risk tier.
  • Keep metric ingestion while supporting imperial-style display output.

Get Started

Request Example

curl -X GET "https://api.hefitapi.com/api/v1/bmi?height=178&weight=82&units=metric&lang=en" \
  -H "X-API-Key: YOUR_API_KEY"

curl -X POST "https://api.hefitapi.com/api/v1/bmi/post?lang=en" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{"height": 178, "weight": 82, "units": "metric"}'

Response Example

Info

The response example below is for demonstration purposes only. Make a live request to this endpoint to receive the full, real-time, and potentially richer JSON structure.

{
  "height": "1.8 m",
  "weight": "82.0 kg",
  "bmi": "25.9 kg/m2",
  "weight_status": "Overweight",
  "bmi_value": 25.88,
  "weight_status_band": "overweight",
  "weight_status_label": "Overweight",
  "risk_signal": "Weight trend may increase long-term cardiometabolic risk.",
  "action_plan": ["Tighten calorie quality", "Increase weekly activity volume"],
  "monitoring_plan": "Reassess in 4-6 weeks.",
  "language": "en",
  "_enterprise": {
    "client": "Acme Health",
    "plan": "pro",
    "request_id": "2d8f0fe12d5ab429",
    "quota": 120,
    "usage_tracking": true
  },
  "_api_metadata_": {
    "api_name": "Health Fitness API by Dakidarts®",
    "endpoint_name": "bmi",
    "response_language": "en"
  }
}

Product Fit

Great for wellness onboarding, risk dashboards, and employee health platforms that need a fast baseline anthropometric metric.

Note

Input for this endpoint is metric. For imperial input math, use bmi_imperial endpoint.