ChatGPT Plugin

Zinde AI Free Calorie Tracker

Track meals, water, exercise

Brand: Zinde

Category: Health & Wellness
Primary Subcategory: Calorie & Nutrition Tracking Coaches

Integration details

Description

Zinde connects ChatGPT with your Zinde account so you can review daily nutrition, water, steps, exercise, and goal progress in one place. Ask for a daily or weekly summary, get meal suggestions based on your remaining targets, update your goals, and log meals, water, or exercise after reviewing a preview.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Health & Wellness
Primary Subcategory: Calorie & Nutrition Tracking Coaches
Secondary Subcategories: None listed
Brand: Zinde
Access: Account required
First tracked: 2026-07-04
Tool count: 16
Market: US

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Primary Subcategory

Competing in ChatGPT Calorie & Nutrition Tracking Coaches

View Category

Listed in alphabetical order

Primary Subcategory

AI Calorie Counter by BodyPalComing soonGet notified

Alma: Nutrition CoachComing soonGet notified

Amy Food JournalComing soonGet notified

ateComing soonGet notified

BurnFat – Calorie TrackerComing soonGet notified

Zinde AI Free Calorie TrackerComing soonGet notified

Tools

16 tools agents can invoke

Use this when the user asks why progress is good or bad, where they are drifting, or how to recover based on Zinde daily and weekly data. Keep user replies natural and avoid implementation details.
analyze_zinde_progress
Use this only after the user explicitly confirms an exercise preview; creates the private Zinde exercise log exactly once. Keep user replies natural and avoid implementation details.
confirm_exercise_log
Use this only after the user explicitly confirms a food preview; creates the private Zinde food log exactly once. Keep user replies natural and avoid implementation details.
confirm_food_log
Use this only after the user explicitly confirms a goal settings preview in chat or in the widget; updates private Zinde profile and goal settings exactly once. Keep user replies natural and avoid implementation details.
confirm_goal_settings_update
Use this only after the user explicitly confirms a water preview; creates the private Zinde water log exactly once. Keep user replies natural and avoid implementation details.
confirm_water_log
Use this when the user asks about today or a specific day in their Zinde nutrition, water, steps, exercise, calories, macros, or remaining targets. Keep user replies natural and avoid implementation details.
get_zinde_daily_context
Use this when the user asks for recent food, water, or exercise log details, comparisons, or what they logged recently. Keep user replies natural and avoid implementation details.
get_zinde_recent_logs
Use this when the user asks about weekly progress, adherence, no-log days, protein hit days, or trends across recent Zinde data. Keep user replies natural and avoid implementation details.
get_zinde_weekly_context
Use this when the user wants to view or edit Zinde goal settings, current weight, target weight, weekly change, activity level, diet type, water target, step target, or burned-calorie adjustment. Opens an interactive editor widget. Keep user replies natural and avoid implementation details.
get_zinde_goal_settings
Use this when the user says they did exercise and wants to add it to Zinde. Pass the original phrase in text. Always pass activityQuery: if the activity is named or implied, activityQuery must be only the clean activity name, for example "running", "walking", or "cycling"; if no activity is named, pass an empty string. Never pass the full request sentence as activityQuery. If activity, duration, or matching is missing, this returns a draft widget that lets the user fix the input. Returns matched activity, duration, estimated calories, and confirmation token without creating an exercise log. Keep user replies natural and avoid implementation details.
preview_exercise_log_from_text
Use this when the food photo preview widget edits detected foods. Pass only the foods the user kept. If a food name changed and nutritionEdited is false, re-estimate macros; if nutritionEdited is true, keep the user-provided macros. Returns a new confirmation preview without updating the stored scan or creating food logs. Keep user replies natural and avoid implementation details.
preview_food_log_image_edits
Use this when the user uploads or selects a meal photo and wants to analyze it for Zinde. It stores the uploaded photo and scan draft in the user’s private Zinde account, prepares detected foods/macros, and returns a preview without creating food logs. Keep user replies natural and avoid implementation details.
preview_food_log_from_image
Use this when the user says they ate food and wants to add it to Zinde. Always pass the original phrase in text and structured foodItems. Each foodItems entry must contain only the edible food or product name in foodQuery, with quantityText only for that item. Do not put request wording like add, save, or log this food into foodQuery. If the user only asks to add food without naming a food, pass foodItems as an empty array; it returns a draft widget that asks for the missing food name. Returns an itemized preview and confirmation token without creating food logs. Keep user replies natural and avoid implementation details.
preview_food_log_from_text
Use this when the user wants to change Zinde profile or goal settings. Normalize values before calling. Calculates the exact diff plus recalculated calorie and macro goals, and returns a confirmation token without saving any profile or goal changes. Keep user replies natural and avoid implementation details.
preview_goal_settings_update
Use this when the user wants to add water to Zinde; convert natural amounts to amountMl when possible before calling. Defaults: 1 glass or cup = 250 ml, 1 bottle = 500 ml. If the user only asks to add water without an amount, call this with text only; it returns a draft widget that asks for the missing amount. Returns a normalized amount and confirmation token without creating a water log. Keep user replies natural and avoid implementation details.
preview_water_log
Use this when the user asks what to eat next based on their current Zinde targets, remaining calories, macros, and daily context. Keep user replies natural and avoid implementation details.
suggest_next_meal

FAQs

Zinde AI Free Calorie Tracker ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Zinde AI Free Calorie Tracker'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.

What are Zinde AI Free Calorie Tracker alternatives on ChatGPT?

As of 2026-11-03, Zinde AI Free Calorie Tracker competes with AI Calorie Counter by BodyPal, Alma: Nutrition Coach, Amy Food Journal, ate, BurnFat – Calorie Tracker, BurnWeek, Cal Plus, Calorie Tracker and 32 more in ChatGPT Calorie & Nutrition Tracking Coaches, ranked by public Discoverability Score.

Where is this profile measured?

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