ChatGPT Plugin

Eating Buddy

Ask about your food journal

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Eating Buddy is a mindful eating journal for iPhone and Android. Connect it to ask ChatGPT about what you logged: meals and the foods in them, hunger before and fullness after eating, mindfulness, places and reasons, drinks and water, sleep, moods, cravings check-ins and workouts. Ask for a plain list ("What did I eat yesterday?") or for patterns ("Do I snack more after short nights?", "Which foods do I eat most often?", "How did my mood compare on the days I worked out?"). ChatGPT reads only your own entries, as your account; it cannot change or delete anything. Connecting takes a minute: ChatGPT shows a six-digit code, you type it in the Eating Buddy app under Settings, AI assistants, and approve. You can unlink it any time from the same screen. Eating Buddy describes what your journal shows; it does not give diet plans or medical advice.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-10-21
Tool count: 9
Geography: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Eating Buddy has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

9 tools agents can invoke

Explains the user's EatingBuddy tables, column meanings and date conventions, plus today's date in their timezone and how much data they have. Call this first.
describe_my_data
Check-ins in a date range, newest first: moments logged outside meals such as urges and small wins, with hunger (1-10 plus a label, null when not recorded), urge intensity, whether it was a small win, notes and source. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_checkins
Drinks other than water in a date range, newest first: name, category (coffee, tea, wine, beer and so on), whether alcoholic, quantity, unit and notes. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_drinks
Meals in a date range, newest first, with meal type, hunger and fullness (1-10 plus a label such as 'hungry' or 'full', null when not recorded), mindfulness (distracted, aware, mindful), place, reason, tags, notes, and the meal's foods: what the user typed (with quantity and unit) and what was recognised in photos (with a description), tagged by source. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_meals
Mood entries in a date range, newest first: mood level 1 (low) to 7 (high), mood labels, notes and source. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_moods
Sleep sessions in a date range, newest first, matched on the night they belong to: minutes asleep and, when imported from Apple Health, the awake, core, deep and REM minutes. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_sleep
Water entries in a date range, newest first: quantity, unit (usually ml) and source (manual or apple_health). Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_waters
Workouts in a date range, newest first: activity, duration in minutes, distance and source. Dates are the user's local calendar days, YYYY-MM-DD. Without dates it covers the last 7 days ending today in the user's timezone. An empty result includes the date range the user's data covers.
list_workouts
Runs one read-only SQL SELECT against the user's own journal and returns the rows as JSON. Postgres dialect over the views listed by describe_my_data (meals, meal_items, drinks, waters, sleep_sessions, moods, checkins, workouts, ...). Every view holds only the user's own rows; `day` is the user's calendar day and `hour` the hour of day. Rows are capped by limit: aggregate in SQL (group by, count, avg, corr) rather than reading raw rows over long periods. On a SQL error the Postgres message is returned so the query can be corrected and retried.
query_my_data

FAQs

Eating Buddy ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Eating Buddy's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.