ChatGPT Plugin

ELA Map

Astrocartography lines

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

ELA Map draws your birth chart onto the Earth. Every planet sits on four lines around the globe, and astrocartography reads a place by the lines that run near it. Ask ELA Map which cities your lines run through, or whether a place you are considering sits on one, and it answers from your birth date, time and place. The answer is the geography; the reading lives on ELA Map, where all your lines are drawn on an interactive globe with plain-language readings, line crossings and location reports. No account is created inside ChatGPT, and the birth details you give are not stored.

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: 2026-10-15
Tool count: 1
Geography: US

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Primary Subcategory

Competitive lineup

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

Tools

1 tool agents can invoke

Lists which major cities each of a person's astrocartography lines (Sun through Pluto on the MC, IC, AC and DC angles) passes near, from their birth date, time and place. Give target_place when they ask about moving to, travelling to or living in a specific place: the answer names the lines within 330 km of it and the next nearest, with distances, and the link opens the map on that place. Pass the place as the person wrote it (city and region or country). Returns geography only plus a link that opens their full map on ELA Map with the birth details pre-filled; no account is created and the link expires in 15 minutes.
show_my_lines

FAQs

ELA Map ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve ELA Map'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.