Agent
Discoverability

IDYORA

Indian recipes and calories

View in the ChatGPT registry
Brand
IDYORA
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Look up calories, protein, carbs, fat and fibre for Indian dishes such as aloo ka paratha, dal makhani or besan cheela, per 100 g and per typical serving. Search IDYORA's recipes by meal, diet or goal and read the full recipe with ingredients, method and nutrition per serving. Every number comes from IDYORA's published pages and links back to its source page. IDYORA gives general food information; it does not give medical advice, and it does not access any account or personal data.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
IDYORA
Access
No account required
First tracked
2026-10-17
Tool count
4
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
ChatGPT organic discovery is live

Your score is coming

ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.

Get alerts for IDYORA

Get updates when IDYORA’s Discoverability Score or category rank changes.

Primary Subcategory

Competitive lineup

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

4 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

IDYORA ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve IDYORA'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.