ChatGPT Plugin

Big Documents Agent

Answers from your documents

Brand: Agints

Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer

Integration details

Description

Answers from your documents, powered by Agints.com. Search your private manuals, policies, and SOPs to find a page or answer a question. Page citations point to passages you can check. Get a clear notice when a source is missing or unclear, with a prompt to identify the document. Add documents at https://docs.agints.com/agent. PDF, TXT, and MD files are supported. Portal sign-in is separate; attaching a file to a chat does not add it to your persistent library. Self-service limits: 20 MiB per file, up to 1,000 PDF pages and 2 million extracted characters per file, and 100 files and 500 MiB total per account. PDFs need selectable text; scanned PDFs must be OCR’d before upload. Larger collections need assisted planning at https://docs.agints.com/large-libraries; they are not available through automatic self-service upload.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer
Secondary Subcategories: None listed
Brand: Agints
Access: Account required
First tracked: 2026-10-29
Tool count: 9
Market: US

Agent DiscoverabilityChatGPT Discoverability ScoreUpdated daily

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Big Documents AgentChatGPT Plugin · Enterprise Knowledge Search & AI Context Layer

Discoverability Score

0/100

Invisible

Category rank

#7of 75

in Enterprise Knowledge Search & AI Context Layer

Picked: 0.0/100
Found: 0.0/100
Positioned: –/100

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Category leaderboard

Enterprise Knowledge Search & AI Context Layer

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Primary Subcategory

Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

View Category

Listed in alphabetical order

Primary Subcategory

AgentContext0/100

Algolia Productivity0/100

Analytics Brain0/100

Archiveye0/100

Atlan0/100

Big Documents Agent0/100

Tools

9 tools agents can invoke

Returns a link to the secure Big Documents Agent web uploader, a link for large libraries, and the upload limits. It does not receive, read or upload files itself and changes no library data.
open_document_uploader
Reads the full text of one cited page from the signed-in account's library. Input: a page ID returned by search. Returns the page ID, title, text, URL and metadata (filename, version, page).
fetch
Reads the status, recorded evidence activity and cited answer for an investigation in the signed-in account. Input: job_id. Answers cite PDF page numbers, with printed page numbers in parentheses when known.
get_investigation
Starts a background investigation that searches the signed-in account's private documents and prepares a cited answer. Inputs: question (1-1,000 characters) and optional scope text (up to 500 characters); any source IDs in the scope limit the search to those sources. Returns a job ID and initial status; progress and results are available from get_investigation.
start_investigation
Lists every source in the signed-in account's private library with its indexing status. No inputs. Returns each source's ID, title, filename, version, page counts and status.
list_library
Reads one page of a ready source in the signed-in account's private library. Inputs: source_id and a 1-based PDF page number. Returns the source metadata, the page text and a link to that page.
read_source_page
Scans every source in the signed-in account's private library and reports exact-byte duplicates, title or version ambiguity, and extraction failures. No inputs. Findings are metadata heuristics, not judgments about conflicting content.
scan_library
Searches extractable text in the signed-in account's library. Input: query. Returns unique page references, each with an ID, title and authenticated citation URL.
search
Keyword (BM25) search over ready sources in the signed-in account's private library. Inputs: query (1-500 characters) and an optional source_id to limit the search to one source. Returns at most one excerpt per page, each with source ID, title, page number, score and a page link. Excerpts are user-uploaded text.
search_documents

FAQs

Big Documents Agent ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Big Documents Agent'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.

What are Big Documents Agent alternatives on ChatGPT?

As of 2026-11-02, Big Documents Agent competes with Dropbox Dash, AgentContext, Algolia Productivity, Analytics Brain, Archiveye, Atlan, BitsWeave, BrandMCP and 66 more in ChatGPT Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.

Where does Big Documents Agent rank in Enterprise Knowledge Search & AI Context Layer on ChatGPT?

As of 2026-11-02, Big Documents Agent ranks #7 of 75 in ChatGPT Enterprise Knowledge Search & AI Context Layer with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

9 tools agents can invoke

Big Documents Agent ChatGPT Plugin FAQ