ChatGPT Plugin

9/11 Records

Explore NYC’s 9/11 records

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

9/11 Records helps families, researchers, and journalists explore New York City’s published records about September 11 and its aftermath. Search by address, agency, or substance; browse catalog documents; read individual pages with exact Bates citations and source links; and follow additions, removals, and other catalog changes. Long results are paginated. OCR and machine-generated titles and summaries may contain errors and should be checked against scans. Removed document content is not served. This is an independent project by Cleartext Labs, not affiliated with the City of New York; it does not determine medical causation or compensation eligibility.

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: 2026-10-22
Tool count: 5
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce 9/11 Records has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

5 tools agents can invoke

List documents in Bates order, optionally filtered by exact agency, volume, box, or folder. Follow next_after for more. Folder labels are omitted because they may contain private names.
List catalog changes, newest first, optionally since a capture date (inclusive). Dates are mirror observations, not document dates. Returns only identifiers and change types.
Get document metadata and a paginated list of its pages. Machine-extracted titles and summaries are not source evidence.
Read one page with its exact Bates citation and scan link. Long OCR text is paginated by character offset; follow next_offset to retrieve the rest.
Search record pages. Filters use exact catalog/index values. Returns page citations and machine-extracted titles, not full text; use get_page to read evidence. Results use the website’s hybrid search when embeddings are available.

FAQs

9/11 Records ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve 9/11 Records'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.