Glucose prediction

glucose.predict predicts the glucose curve for a meal from the foods eaten, the time, and a user profile. It needs the glucose:read scope. Each food is a FoodSelection from Food details and portions, and the client's timezone (User identity and timezone) is sent with the prediction.

Glucose predictions and profile inputs are health data. Keep request and response values out of analytics, crash reports, and general-purpose logs.

const { prediction, impact, chart } = await january.glucose.predict({
  foods: [selection],
  startTime: new Date().toISOString(),
  userProfile: {
    age: 38,
    sex: 'female',
    height: { unit: 'in', value: feet * 12 + inches },
    weight: { unit: 'kg', value: 67 },
    activityLevel: 'moderately_active',
    healthConditions: [],
  },
});

• age is in whole years.

• Height (in or cm) and weight (lb or kg) units are independent. Show imperial height as feet plus inches, and send feet * 12 + inches.

Result field	Meaning
prediction	The curve at 15-minute intervals: minutes after startTime and value in mg/dL
impact	low, medium, or high; may be absent
chart.min, chart.max	Suggested y-axis bounds in mg/dL, not the curve's lowest and highest values; may be absent

Predictions are informational. Don't present them as a diagnosis or as treatment guidance.