Overview

The MyToFit Health Score API calculates comprehensive health risk scores based on biometric and clinical data. It provides three scores — Total, Wearable, and Clinical — each mapped to a color-coded risk zone.

Score Zones

Score Range	Color	Label	Meaning
85–100	Blue	Superior	Excellent health status
70–84	Green	Good	Good health status
55–69	Yellow	Moderate	Moderate health risks present
40–54	Orange	Risk	Elevated health risks
0–39	Red	High Risk	Significant health risks detected

Endpoints Summary

Endpoint	Purpose	Call Frequency	Latency
POST /calculate	Score calculation	Multiple times/day	~100ms
POST /partner/daily-refresh	Score + AI summaries + impact drivers	Once/day	~3–5s

Authentication

All API access is via the GCP API Gateway with per-partner API keys issued by MyToFit.

Required Headers

Header	Value
X-API-Key	Your GCP API key (provided by MyToFit)
Content-Type	application/json

Rate Limits

Per-API-key rate limits are enforced to ensure fair usage:

Endpoint	Limit	Rationale
/calculate	30 requests/minute	Lightweight (~100ms), high-frequency
/partner/daily-refresh	15 requests/minute	AI-powered (~3-5s), once-per-day design

Endpoint 1: Calculate Score

Request Body

Field	Type	Required	Description	Example
age	number	No	Age in years	35
sex	string	No	Biological sex (M, F, Male, Female)	"M"
weight_kg	number	No	Weight in kilograms (20–500)	70
height_cm	number	No	Height in centimeters (50–300)	170
rhr	number	No	Resting Heart Rate (bpm)	60
hrv_rmssd	number	No	HRV RMSSD (ms)	50
vo2max	number	No	VO2 Max (ml/kg/min). Also accepts legacy vo2_max	45
spo2_min	number	No	Minimum nocturnal SpO2 (%)	96
steps	number	No	Number of steps (daily)	8000
steps_7d_avg	number	No	Average daily steps (7-day)	8000
sleep_hours	number	No	Sleep hours (daily)	7.5
sleep_hours_7d_avg	number	No	Average sleep hours (7-day)	7.5
sbp	number	No	Systolic Blood Pressure (mmHg)	120
triglycerides	number	No	Triglycerides (mg/dL)	150
ldl	number	No	LDL Cholesterol (mg/dL)	120
hba1c	number	No	HbA1c (%)	5.5
smoking	string	No	Smoking status code (see below)	"never"
alcohol	string	No	Alcohol consumption code (see below)	"none"

Smoking Codes

Code	Description
never	Never smoked
former_gt20	Quit > 20 years ago
former_5to_lt20	Quit 5–20 years ago
former_lt5	Quit < 5 years ago
current_lt20	Currently smoking < 20 cigs/day
current_20to40	Currently smoking 20–40 cigs/day
current_ge40	Currently smoking > 40 cigs/day

Alcohol Codes

Code	Description
none	Don't drink
0_1_to_1_8	0.1 to 1.8 drinks/day
1_8_to_3_1	1.8 to 3.1 drinks/day
3_2_to_4_6	3.2 to 4.6 drinks/day
gt_4_6	> 4.6 drinks/day

Response (200 OK)

{
  "total_score": {
    "score": 88.5,
    "color": "Blue",
    "label": "Superior",
    "explanation": "Excellent health status.",
    "range": "85-100"
  },
  "wearable_score": {
    "score": 92.0,
    "color": "Blue",
    "label": "Superior",
    "explanation": "Excellent health status.",
    "range": "85-100"
  },
  "clinical_score": {
    "score": 85.0,
    "color": "Blue",
    "label": "Superior",
    "explanation": "Excellent health status.",
    "range": "85-100"
  }
}

Sample Request with Wearable History

{
  "age": 35, "sex": "M",
  "weight_kg": 75, "height_cm": 175,

  "steps": 3000,
  "steps_history": [10000, 8000, 9000, 4000, 8000, 6000, 5000],
  "rhr": 73,
  "rhr_history": [72, 70, 71, 74, 75, 77, 80],
  "hrv_rmssd": 65,
  "hrv_history": [67, 69, 71, 68, 72, 70, 69],
  "sleep_history": [5, 4.2, 4, 6, 6.3, 6.45, 5],
  "spo2_history": [98, 98, 98, 98, 99, 98, 98],
  "vo2max_history": [32, 32, 32, 32, 32, 33, 33],

  "sbp": 128, "hdl": 52, "ldl": 130,
  "triglycerides": 160, "hba1c": 5.6
}

Sample Response with Wearable History

{
  "total_score": {
    "score": 58.0,
    "color": "Yellow",
    "label": "Moderate",
    "explanation": "Moderate health risks present.",
    "range": "55-69"
  },
  "wearable_score": {
    "score": 52.1,
    "color": "Orange",
    "label": "Risk",
    "explanation": "Elevated health risks.",
    "range": "40-54"
  },
  "clinical_score": {
    "score": 67.0,
    "color": "Yellow",
    "label": "Moderate",
    "explanation": "Moderate health risks present.",
    "range": "55-69"
  }
}

Endpoint 2: Daily Health Refresh

Request Body

Same input fields as /calculate, plus:

Field	Type	Default	Description
language	string	"en"	Output language for summaries: "en" or "th"

Wearable History (optional)

Send 7 days of wearable history to enable averaged scoring and receive formatted captions for display. All history fields are optional — if omitted, the API falls back to scalar values (backward compatible).

Field	Type	Description	Example
steps_history	number[]	Daily step counts for past 7 days [yesterday..7d ago]. null = no data.	[10000, 8000, 9000, 4000, 8000, 6000, 5000]
sleep_history	number[]	Sleep hours for past 7 days	[5, 4.2, 4, 6, 6.3, 6.45, 5]
rhr_history	number[]	Resting heart rate (bpm) for past 7 days	[72, 70, 71, 74, 75, 77, 80]
spo2_history	number[]	Min nocturnal SpO2 (%) for past 7 days	[98, 98, 98, 98, 99, 98, 98]
vo2max_history	number[]	VO2Max (ml/kg/min) for past 7 days. Also accepts legacy vo2_max_history	[32, 32, 32, 32, 32, 33, 33]
hrv_history	number[]	HRV RMSSD (ms) for past 7 days	[67, 69, 71, 68, 72, 70, 69]

Handling Missing Days (null entries)

If the wearable had no data for a specific day, use null at that position. The API skips nulls when computing averages.

{
  "steps_history": [10000, null, 9000, null, null, 6000, 5000],
  "sleep_history": [null, 4.2, 4, 6, 6.3, 6.45, 5],
  "rhr_history":   [72, 70, 71, null, 75, 77, 80]
}

In this example:

Field	Non-null values	Result
steps_history	10000, 9000, 6000, 5000 (4 values)	avg = 7,500 step/day
sleep_history	index 0 is null → falls back to index 1 = 4.2	YTD Night 4.2 Hrs
rhr_history	72, 70, 71, 75, 77, 80 (6 values)	avg = 74 bpm/day

// ✅ Correct — null without quotes
"steps_history": [10000, null, 9000]

// ❌ Wrong — "null" as a string → 422 validation error
"steps_history": [10000, "null", 9000]

// ❌ Wrong — empty slot → invalid JSON
"steps_history": [10000, , 9000]

Averaging Rules

Metric	Rule	Scoring Input	Caption Format
Steps	7-day average	Average of all non-null values	avg 7,143 step/day
RHR	7-day average	Average of all non-null values	avg 74 bpm/day
HRV	7-day average	Average of all non-null values	avg 69 ms/day
Sleep	Yesterday's value	First non-null (index 0)	YTD Night 5 Hrs
SpO2	Yesterday's value	First non-null (index 0)	YTD Night 98 %
VO2Max	Latest available	First non-null from history	Last. 32 ml/kg/min

Response (200 OK)

{
  "score": {
    "total_score":    { "score": 44.8, "color": "Orange", "label": "Risk", ... },
    "wearable_score": { "score": 59.4, "color": "Yellow", "label": "Moderate", ... },
    "clinical_score": { "score": 22.8, "color": "Red", "label": "High Risk", ... }
  },
  "summary_short": "Your top priority is smoking cessation.",
  "summary_long": "Your health profile shows significant cardiovascular risk factors...",
  "score_impact_attributes": [
    { "rank": 1, "metric": "Smoking", "current_value": "current_ge40", "score_penalty": 12.4, "domain": "Clinical" },
    { "rank": 2, "metric": "HbA1c (%)", "current_value": 5.9, "score_penalty": 8.1, "domain": "Clinical" },
    ...
  ],
  "wearable_captions": {
    "steps": "avg 7,143 step/day",
    "sleep_duration": "YTD Night 5 Hrs",
    "rhr": "avg 74 bpm/day",
    "spo2": "YTD Night 98 %",
    "vo2max": "Last. 32 ml/kg/min",
    "hrv": "avg 69 ms/day"
  },
  "input_values": { "age": 50, "sex": "M", "steps": 7142.86, ... },
  "generated_at": "2026-04-14T10:00:00+00:00"
}

Score Impact Attributes

Field	Type	Description
rank	integer	Rank by impact (1 = highest penalty)
metric	string	Human-readable metric name
current_value	any	Current value of the metric
score_penalty	number	Estimated score points lost
domain	string	"Wearable" or "Clinical"

Sample Request with Wearable History

{
  "age": 35, "sex": "M",
  "weight_kg": 75, "height_cm": 175,

  "steps": 3000,
  "steps_history": [10000, 8000, 9000, 4000, 8000, 6000, 5000],
  "rhr": 73,
  "rhr_history": [72, 70, 71, 74, 75, 77, 80],
  "hrv_rmssd": 65,
  "hrv_history": [67, 69, 71, 68, 72, 70, 69],
  "sleep_history": [5, 4.2, 4, 6, 6.3, 6.45, 5],
  "spo2_history": [98, 98, 98, 98, 99, 98, 98],
  "vo2max_history": [32, 32, 32, 32, 32, 33, 33],

  "sbp": 128, "hdl": 52, "ldl": 130,
  "triglycerides": 160, "hba1c": 5.6,
  "language": "en"
}

Sample Response with Wearable History

{
  "score": {
    "total_score": {
      "score": 58.0,
      "color": "Yellow",
      "label": "Moderate",
      "explanation": "Moderate health risks present.",
      "range": "55-69"
    },
    "wearable_score": {
      "score": 52.1,
      "color": "Orange",
      "label": "Risk",
      "explanation": "Elevated health risks.",
      "range": "40-54"
    },
    "clinical_score": {
      "score": 67.0,
      "color": "Yellow",
      "label": "Moderate",
      "explanation": "Moderate health risks present.",
      "range": "55-69"
    }
  },
  "summary_short": "Prioritize a heart-healthy lifestyle by embracing the DASH diet, increasing omega-3 rich foods, and engaging in regular physical activity to support your overall well-being.",
  "summary_long": "It's wonderful that you're focusing on your wellness journey! Your current focus areas include nourishing your body with the DASH diet, rich in fruits, vegetables, and lean proteins, while limiting less beneficial choices.  Boosting your intake of omega-3 fatty acids through foods like fatty fish and incorporating at least 150 minutes of moderate exercise weekly are key steps to enhance your vitality and support your body's natural balance.  Embrace these positive changes, and you'll be well on your way to feeling your best!",
  "score_impact_attributes": [
    {
      "rank": 1,
      "metric": "VO2max (mL/kg/min)",
      "current_value": 32.0,
      "score_penalty": 13.7,
      "domain": "Wearable"
    },
    {
      "rank": 2,
      "metric": "Sleep Duration (h)",
      "current_value": 5.0,
      "score_penalty": 2.5,
      "domain": "Wearable"
    },
    {
      "rank": 3,
      "metric": "Resting Heart Rate (bpm)",
      "current_value": 74.14,
      "score_penalty": 1.5,
      "domain": "Wearable"
    },
    {
      "rank": 4,
      "metric": "LDL Cholesterol (mg/dL)",
      "current_value": 130.0,
      "score_penalty": 0.6,
      "domain": "Clinical"
    },
    {
      "rank": 5,
      "metric": "Systolic Blood Pressure (mmHg)",
      "current_value": 128.0,
      "score_penalty": 0.6,
      "domain": "Clinical"
    },
    {
      "rank": 6,
      "metric": "Triglycerides (mg/dL)",
      "current_value": 160.0,
      "score_penalty": 0.0,
      "domain": "Clinical"
    }
  ],
  "wearable_captions": {
    "steps": "avg 7,143 step/day",
    "sleep_duration": "YTD Night 5 Hrs",
    "rhr": "avg 74 bpm/day",
    "spo2": "YTD Night 98 %",
    "vo2max": "Last. 32 ml/kg/min",
    "hrv": "avg 69 ms/day"
  },
  "input_values": {
    "age": 35.0,
    "sex": "M",
    "weight_kg": 75.0,
    "height_cm": 175.0,
    "rhr": 74.14,
    "hrv_rmssd": 69.43,
    "sbp": 128.0,
    "triglycerides": 160.0,
    "hdl": 52.0,
    "ldl": 130.0,
    "hba1c": 5.6,
    "steps": 7142.86,
    "sleep_hours": 5.0,
    "spo2_min": 98.0,
    "vo2max": 32.0
  },
  "generated_at": "2026-07-09T18:13:55.786543+00:00"
}

Integration Best Practices

Partial Data

Both endpoints accept partial input — all fields are optional. The engine always returns all 3 scores (total, wearable, clinical) regardless of how much data is provided. Missing fields use neutral/healthy defaults in the calculation.

Field Name Aliases

For convenience, the API accepts both naming conventions:

Primary Name	Also Accepts
steps_7d_avg	steps
sleep_hours_7d_avg	sleep_hours

Code Examples

Python — GCP API Gateway

import requests

url = "https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate"

payload = {
    "age": 35, "sex": "M",
    "weight_kg": 70, "height_cm": 170,
    "sbp": 120, "triglycerides": 150, "ldl": 120, "hba1c": 5.5,
    "steps_7d_avg": 8000, "sleep_hours_7d_avg": 7.5,
    "rhr": 60, "vo2max": 45, "hrv_rmssd": 50, "spo2_min": 96,
    "smoking": "never", "alcohol": "none"
}

headers = {
    "Content-Type": "application/json",
    "X-API-Key": "YOUR_GCP_API_KEY"
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

Python — Array Payload (History)

import requests

url = "https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate"

payload = {
    "age": 35, "sex": "M",
    "steps_history": [10000, 8000, 9000, 4000, 8000, 6000, 5000],
    "vo2max_history": [32, 32, 32, 32, 32, 33, 33],
    "sleep_history": [5, 4.2, 4, 6, 6.3, 6.45, 5]
}

headers = {
    "Content-Type": "application/json",
    "X-API-Key": "YOUR_GCP_API_KEY"
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

JavaScript / Fetch — GCP API Gateway

const response = await fetch("https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-API-Key": "YOUR_GCP_API_KEY"
  },
  body: JSON.stringify({
    age: 35, sex: "M",
    weight_kg: 70, height_cm: 170,
    sbp: 120, rhr: 60,
    steps_7d_avg: 8000, sleep_hours_7d_avg: 7.5,
    smoking: "never", alcohol: "none"
  })
});

const data = await response.json();
console.log(data.total_score.score, data.total_score.color);

Swift (iOS) — GCP API Gateway

let url = URL(string: "https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_GCP_API_KEY", forHTTPHeaderField: "X-API-Key")

let body: [String: Any] = [
    "age": 35, "sex": "M",
    "weight_kg": 70, "height_cm": 170,
    "rhr": 60,
    "steps_7d_avg": 8000, "smoking": "never"
]
request.httpBody = try JSONSerialization.data(withJSONObject: body)

Kotlin (Android) — GCP API Gateway

val client = OkHttpClient()
val json = """{"age":35,"sex":"M","weight_kg":70,"height_cm":170,"rhr":60,"steps_7d_avg":8000}"""
val body = json.toRequestBody("application/json".toMediaType())

val request = Request.Builder()
    .url("https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate")
    .post(body)
    .addHeader("X-API-Key", "YOUR_GCP_API_KEY")
    .build()

val response = client.newCall(request).execute()

cURL — GCP API Gateway

curl --request POST \
  --url https://mytofit-partner-gw-202hslfc.an.gateway.dev/calculate \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: YOUR_GCP_API_KEY' \
  --data '{"age":35,"sex":"M","weight_kg":70,"height_cm":170,"sbp":120,"rhr":60,"steps_7d_avg":8000,"smoking":"never"}'

Error Handling

Status	Meaning	Action
200	Success	Parse the JSON response body
401	Invalid or missing API key	Check your X-API-Key header
422	Validation error (invalid field values)	Check the detail array for field-level errors
429	Rate limit exceeded	Reduce call frequency. Limits: 30/min for /calculate, 15/min for /daily-refresh
500	Internal server error	Retry with exponential backoff. Contact support if persistent.