Withings

Query Withings body measurements, activity, sleep, and workout data via the bundled withings CLI.

When to Use

Activate when the user asks about their Withings data:

• Body metrics (weight, BMI, body fat, blood pressure, heart rate)
• Daily activity (steps, calories, distance, active duration)
• Sleep sessions (score, stages, duration, breathing rate)
• Workout sessions (run/walk/cycle/etc.)

Tooling

Three subcommands cover most needs:

Subcommand	Purpose
withings status	Connection state ({ok, status, connect_url?, disconnect_url?, reason?}).
withings list-fields --category <CAT>	Field list for a category (snake_case, units in the name).
withings query --category <CAT> --start-date <YYYY-MM-DD> [--end-date --interval --fields]	Typed snake_case records. Returns a JSON array.

Categories

• daily-metrics — Daily rollup of Activity (steps/calories/distance/HR) + Measures (weight/BP/body composition). Supports --interval hourly|daily|weekly (defaults to daily). Aggregation rules: sum for counters (step_count, active_energy_burned_kcal, distance_walking_running_meters), avg for hr_average_bpm, max for hr_max_bpm, last-of-bucket for body measurements (weight/BP/body fat etc.).
• sleep — One row per sleep session (score, stages, duration, HR, breathing).
• workout — One row per workout session (translated workout_type name, duration, distance, calories, HR).

Use list-fields to discover available fields per category.

Output

JSON to stdout. Datetimes are local YYYY-MM-DD HH:MM:SS per record's timezone. Session rows include id (prefixed withings_<id>), start_datetime, end_datetime, timezone. daily-metrics buckets include date / hour / week_start + record_count instead of id.

Examples

# Recent workouts
withings query --category workout --start-date 2026-05-01

# Weight trend (last reading per day)
withings query --category daily-metrics --start-date 2026-04-01 --fields body_mass_kg

# Weekly step totals
withings query --category daily-metrics --start-date 2026-04-01 --interval weekly --fields step_count

Auth

Before any Withings API call:

1. Run withings status.
2. If status is not_connected, share [Connect Withings](<connect_url>) exactly — never paste the raw URL.
3. After the user completes the callback, re-run withings status and proceed only when connected.

For disconnect: run withings disconnect and share [Disconnect Withings](<disconnect_url>) if present.

Never print tokens or credentials.

Operating Rules

1. Treat linking as one-time onboarding — don't re-prompt for auth unless calls keep failing.
2. Prefer query --category <CAT> over the legacy commands. Field names are snake_case with units in the name (body_mass_kg, step_count, hr_average_bpm, sleep_total_duration_sec) — never expose Withings's numeric meas-type IDs to the user.
3. If unsure of a field name, run withings list-fields --category <CAT> BEFORE composing query --fields. Withings-native names (calories, distance, hr_average, weight) are NOT valid — they're translated to snake_case with units (energy_burned_kcal, distance_meters, hr_average_bpm, body_mass_kg). An empty filter result usually means the field name was wrong, not that the data is missing.
4. Default to the last 7 days when the user asks for recent trends without specifying dates.
5. For broad trends, use --category daily-metrics --interval weekly instead of pulling every reading. The --interval flag already aggregates per the rules above — do NOT apply additional aggregation (sum/avg) to the bucketed output client-side.
6. If query returns [], say so clearly — never invent values. If the user is asking for a metric not surfaced by list-fields, drop to the legacy escape hatch (measures --meas-types <ID> or a more specific subcommand like heart-list; see references/commands.md for the meas-type ID table).

Legacy / Advanced Commands

Pre-query per-endpoint passthroughs that return raw {ok, status, body: <Withings native>} envelopes. Use only as an escape hatch for data not exposed by query — e.g. a meas-type missing from the translation table (withings measures --meas-types 130 for AFib ECG result), high-frequency sleep sensor data (withings sleep), or ECG signals (withings heart-list / heart-get).

Quick reference for the other passthroughs:

• withings activity — raw daily Activity rows.
• withings sleep-summary — raw nightly sleep summaries with Withings-native field names.
• withings intraday — minute-resolution activity sensor data.
• withings devices — list paired Withings devices.

Full command matrix, meas-type IDs, and Withings → Muse field mapping: references/commands.md.