Pendar
Map & measure research fields
- Category
- Data & Analytics
- Primary Subcategory
- Academic Literature Search & Research Assistants
Integration details
Description
Pendar gives you the shape of a research field, not a summary of it. Point it at a topic and it reports how many papers exist, whether output is growing or flattening, which disciplines and countries produce them, and which papers to read first. Every figure is counted across the whole corpus rather than estimated from a sample, so you can plan around it. Point it at a paper and it traces what happened next: whether citations are rising or fading, which fields picked the work up, whether industry or academia is building on it, and which authors cite it most. That is how you tell a paper quietly becoming foundational from one that peaked years ago. Paste a bibliography and it checks each reference against the published record: whether the paper exists, whether the citation describes it accurately, and whether it has been retracted. A reference it cannot find is reported as unverified rather than swapped for the nearest real paper, which matters when the citations came from a model. Every tool is read-only. Pendar looks things up and reports what it finds.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Academic Literature Search & Research Assistants
- Secondary Subcategories
- None listed
- Brand
- Pendar
- Access
- Account required
- First tracked
- 2026-08-31
- Tool count
- 3
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
ChatGPT Plugin Discovery Score
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ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.
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What discovery looks like

Competing in ChatGPT Academic Literature Search & Research Assistants
View Category3 tools agents can invoke
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 Pendar alternatives on ChatGPT?
As of 2026-08-31, Pendar competes with Agentic Search by Liner, alphaXiv, Article Galaxy, NYCU Library, 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.