AI & Claude

Your health data is most useful when you can ask questions about it in plain language. VitalTrends gives you three ways to bring your data into an AI conversation.

Option 1: CSV export (any AI)

The simplest approach. Export your data as a CSV and upload it directly to Claude, ChatGPT, or any AI with file upload.

Example prompts

• "What is my average HRV over the last 90 days, and does it correlate with my recovery score?"
• "On days when my strain is above 15, how does my next-day recovery compare to lower-strain days?"
• "Show me which days I had below 70% sleep performance and what my recovery was the following day."
• "Plot my weight trend over the last 6 months and estimate the trajectory."

Option 2: API + Python / notebooks

For repeatable analysis, query the REST API directly from a Jupyter notebook or script.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"
BASE    = "https://vitaltrends.net/api/v1"

def get_whoop_daily(days=90):
    from datetime import date, timedelta
    start = (date.today() - timedelta(days=days)).isoformat()
    r = requests.get(
        f"{BASE}/whoop/daily",
        params={"start": start, "per_page": 1000},
        headers={"Authorization": f"Bearer {API_KEY}"},
    )
    r.raise_for_status()
    return pd.DataFrame(r.json()["data"])

df = get_whoop_daily(90)
print(df[["date","recovery_score","hrv_rmssd_milli"]].describe())

From there you can feed the dataframe as context to the Claude API or use any AI SDK to generate insights programmatically.

Option 3: MCP Server (Claude Desktop native)

The most seamless experience. The VitalTrends MCP server connects Claude Desktop directly to your data with no exports needed. Ask questions in Claude and it queries your data in real time.

Read the MCP setup guide to get started.

Privacy note

When you upload a CSV or send API data to a third-party AI (Claude.ai, ChatGPT, etc.), that data leaves VitalTrends and is subject to the AI provider's privacy policy. Use the MCP server if you prefer to keep queries server-side and minimize data exposure.