ChatGPT Plugin

PartyPlace

Find NYC event venues

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Search published PartyPlace venues by neighborhood, group size, date, and event needs. Compare venue cards and open a venue page to make a request or booking on PartyPlace. Search does not create a booking, collect payment, or require a PartyPlace account.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-10-17
Tool count: 1
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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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.

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

Primary Subcategory

Competitive lineup

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

Tools

1 tool agents can invoke

Use this when a host wants a venue in New York City for a birthday, happy hour, private event, or group dinner. Set city to "new-york". Resolve relative dates and pass them in eventDates (YYYY-MM-DD array); pass startTime (HH:mm) only when the host specifies a time. Date-only results do not confirm any particular hour. Extract area, guestCount, and approximate budgetPerGuest when provided. Do not use for other cities, restaurant menus, or general nearby business searches. This tool only finds published venues; it does not book, take payment, or require a PartyPlace login.
search_venues

FAQs

PartyPlace ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve PartyPlace'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.