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COVID-GRAM Critical Illness Probability Calculator (Liang 2020)
x402
COVID-GRAM Critical Illness Probability Calculator (Liang 2020) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Computes the logistic probability of critical illness (ICU admission, invasive ventilation, or death) in hospitalized COVID-19 patients using the Liang 2020 COVID-GRAM model (Table 3 coefficients).
Price / call$0.005
Success—
StatusUnknown
How this service works
Liang 2020 COVID-GRAM logistic probability of critical illness (ICU, invasive ventilation, or death) among hospitalized COVID-19 from age, caller-assigned chest radiograph abnormality, hemoptysis, dyspnea, unconsciousness, comorbidity count, cancer history, neutrophil-to-lymphocyte ratio, LDH (U/L), and direct bilirubin (umol/L). Table 3 coefficients. magent does not read the film or count comorbidities. Not a diagnosis or ICU-allocation order.
Output
Returns the COVID-GRAM logistic probability (0–1) of critical illness (ICU admission, invasive mechanical ventilation, or death) for a hospitalized COVID-19 patient, derived from Liang 2020 Table 3 coefficients applied to the supplied clinical inputs.
Example use cases
Rapid ICU risk triage at admission
“I need to quickly score a 72-year-old COVID-19 patient just admitted — chest X-ray is abnormal, she has dyspnea and no hemoptysis, is alert, has 3 comorbidities, no cancer history, NLR is 11.2, LDH is 510 U/L, and direct bilirubin is 18 umol/L. What's her COVID-GRAM critical illness probability?”
Monitoring high-risk patient progression
“My 58-year-old COVID-19 patient's labs changed overnight — NLR went from 6 to 14, LDH is now 380 U/L, direct bilirubin 9 umol/L. He has dyspnea, abnormal CXR, no hemoptysis or unconsciousness, 1 comorbidity, no cancer history. Recalculate his Liang 2020 COVID-GRAM score.”
Clinical research cohort risk scoring
“For a study dataset, score a 45-year-old COVID-19 patient with no chest X-ray abnormality, no hemoptysis, no dyspnea, fully conscious, 0 comorbidities, no cancer history, NLR of 3.1, LDH of 210 U/L, and direct bilirubin of 5 umol/L using the COVID-GRAM logistic model.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/cgramWhen to prefer
Use this endpoint when you need the validated Liang 2020 COVID-GRAM logistic score specifically, with exact Table 3 coefficients, for hospitalized COVID-19 patients. Prefer it when you already have structured clinical values (NLR, LDH, bilirubin, symptom flags) and want a reproducible, published-model probability rather than a custom heuristic. It is not a replacement for clinical judgment, chest film reading, or comorbidity counting — the caller must supply those assessments.
Side effects
- Missing required query parameter (e.g. age, nlr, ldh_u_l) returns a 400 error
- Age out of range (< 1 or > 120) or NLR out of range (< 0.01 or > 200) may return a validation error
- LDH or bilirubin values in non-supported units (e.g. µkat/L instead of U/L) will produce incorrect scores without warning — caller must convert
- Payment not provided or insufficient USDC results in 402 Payment Required
- Boolean flags must be true/false; any other value may cause a parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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