SuperQDA

Analyze qualitative research

Category: Data & Analytics
Primary Subcategory: Academic Literature Search & Research Assistants

Integration details

Description

SuperQDA connects your qualitative research workspace to ChatGPT. Access your research projects, documents, codes, and analyses directly in conversation. What you can do: - Browse and read all your uploaded documents (PDFs, Word files, transcripts) - Perform semantic search across your research data using perform_semantic_search - Create and apply qualitative codes to text segments using create_code and create_coded_segment - Write analytical memos and save structured analyses - Search for keywords across all project documents with perform_text_search SuperQDA is a qualitative data analysis (QDA) platform used by researchers, academics, and students for thematic analysis, grounded theory, and other qualitative methodologies. This integration lets you leverage ChatGPT's reasoning capabilities directly on your research data without leaving the conversation. All data access is secured with OAuth 2.0 + PKCE. Your credentials are never shared with ChatGPT.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Data & Analytics
Primary Subcategory: Academic Literature Search & Research Assistants
Secondary Subcategories: None listed
Brand: BAGG AI
Access: Account required
First tracked: 2026-09-19
Tool count: 15
Geography: US

ChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Academic Literature Search & Research Assistants

View Category

Listed in alphabetical order

Primary Subcategory

AarthComing soonGet notified

Agentic Search by LinerComing soonGet notified

alphaXivComing soonGet notified

Article GalaxyComing soonGet notified

NYCU LibraryComing soonGet notified

SuperQDAComing soonGet notified

Tools

15 tools agents can invoke

Create a new qualitative code in the project. Codes are used to categorize/tag text segments during analysis.
create_code
Tag a text segment in a document with a code. This is the core coding action in qualitative data analysis.
create_coded_segment
Create an analytical memo. Memos capture researcher reflections, theoretical notes, and methodological decisions.
create_memo
Get text segments that have been coded (tagged) with a specific code. Shows exactly which text was marked with which code.
get_coded_segments
Get the full text content of a document. Documents are extracted text from PDF/Word files.
get_document_content
Get details of a specific project including settings and statistics.
get_project
Get the authenticated user's profile information including name, role, subscription, and AI credit balance.
get_user_profile
List saved analyses (thematic analyses, summaries, etc.) in a project.
list_analyses
List all qualitative codes in a project. Codes form a hierarchy (parent-child) and are used to tag text segments.
list_codes
List all documents (PDFs, Word files, texts) in a project. Documents are vectorized and searchable.
list_documents
List analytical memos in a project. Memos are researcher notes attached to documents, codes, or segments.
list_memos
List all qualitative research projects the user has access to in SuperQDA.
list_projects
Search across all project documents using semantic/vector similarity. Returns relevant text chunks ranked by similarity.
perform_semantic_search
Full-text keyword search across all documents in a project. Returns matches with surrounding context.
perform_text_search
Save an analysis result to the project. Used to persist thematic analyses, coding results, or custom analyses.
save_analysis

SuperQDA FAQ

How do I improve a ChatGPT Plugin's 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 SuperQDA alternatives on ChatGPT?

As of 2026-09-21, SuperQDA competes with Aarth, Agentic Search by Liner, alphaXiv, Article Galaxy, NYCU Library, Pendar, Precise Special Functions, Scholar Gateway, SciSpace, Scite, Sider Scholar, Tailo Lens, Undermind in ChatGPT Academic Literature Search & Research Assistants, 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.

Get alerts for SuperQDA

ChatGPT Plugin discovery is coming soon

Competing in ChatGPT Academic Literature Search & Research Assistants

15 tools agents can invoke