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ADA Diabetes Risk Score (Bang 2009 Table 2)
x402
ADA Diabetes Risk Score (Bang 2009 Table 2) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Computes the Bang 2009 Table 2 undiagnosed diabetes screening score from age, sex, BMI, family history, hypertension, and physical activity, returning the total score and a high-risk flag (score ≥ 5).
Price / call$0.005
Success—
StatusUnknown
How this service works
Bang 2009 Table 2 development screening score for undiagnosed diabetes. Age (<40 → 0, 40–49 → 1, 50–59 → 2, ≥60 → 3); male 1; family history of diabetes 1; hypertension 1; BMI (≥40 extremely obese 3; 30–<40 obese 2; 25–<30 overweight 1; else 0); physically active −1. Returns score and high_risk (true iff score ≥ 5). BMI-only, no waist. Not Appendix ARIC/CHS, not a diagnosis.
Output
Returns a numeric total screening score (which can range from −1 to 10) calculated by summing age-band points (0–3), sex points (male = 1), family history points (1 if true), hypertension points (1 if true), BMI-band points (0–3), and physical activity deduction (−1 if active). Also returns a boolean field high_risk that is true when the total score is 5 or higher, indicating elevated risk for undiagnosed diabetes per Bang 2009 Table 2.
Example use cases
Pre-visit diabetes risk triage
“Before the patient's appointment, calculate their undiagnosed diabetes risk score using the Bang 2009 method — she's 62 years old, female, BMI is 27.5, has a family history of diabetes, no hypertension, and is physically active.”
Population health screening pipeline
“I'm running a screening on our clinic population — score this individual for undiagnosed diabetes risk: age 47, male, BMI 38.0, no family history of diabetes, hypertension positive, not physically active. Tell me if they're high risk.”
Wellness app risk check
“A user on our wellness app wants to know their ADA diabetes risk score. They entered: age 35, female, BMI 24.0, no family history, no hypertension, and physically active. What's their Bang 2009 score and are they high risk?”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/ada_diabetesWhen to prefer
Choose this endpoint when you need a validated, well-documented implementation of the Bang 2009 Table 2 diabetes screening score specifically using BMI (not waist circumference) as the obesity criterion. It is the right choice for clinical decision-support tools, pre-visit risk triage, or population-level screening pipelines that need a reproducible score with a clear high-risk threshold. Prefer alternatives if you need waist-based obesity criteria (ARIC/CHS appendix methodology), an HbA1c-based risk tool, or actual diabetes diagnosis logic.
Side effects
- Missing required query parameters (age, sex, bmi_kg_m2, family_history_diabetes, hypertension, physically_active) returns a 400 validation error
- Age outside valid range 20–120 or BMI outside 10–80 rejected with validation error
- Invalid enum value for sex (not 'male' or 'female') returns error
- Payment not included or insufficient USDC balance returns 402 Payment Required
- Network timeout or server error returns 5xx; retry with same parameters is safe since endpoint is idempotent
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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