ChatGPT Plugin

Data2Bids

Answers from bid documents

Brand: Data2Bids

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

Integration details

Description

Data2Bids indexes the documents of construction bids (specifications, drawings, addenda, forms and contracts) that your company uploads or syncs from Google Drive, Dropbox or Microsoft 365. This plugin lets you ask questions about those projects in ChatGPT. What you can do: - List the bid projects your company has in Data2Bids and check their processing status. - Ask about requirements, quantities, deadlines, insurance, bonds, allowances or scope, and get an answer grounded in the bid documents. - Open a specific file or page to read or quote it. Every answer cites the file name and PDF page it comes from and, when the document came from Google Drive, Dropbox or Microsoft 365, a link to the original file. Who it is for: estimators, project managers and bid teams at general contractors and subcontractors who already use Data2Bids. Limitations: the plugin is read-only. It cannot upload, edit, delete or submit anything, and it never sees documents outside your company's Data2Bids account. It only knows what is in the documents already processed in Data2Bids; if a requirement is not in them, it says so. You need a Data2Bids account to connect.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Operations
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer
Secondary Subcategories: None listed
Brand: Data2Bids
Access: Account required
First tracked: 2026-10-28
Tool count: 11
Market: US

Agent DiscoverabilityChatGPT Discoverability ScoreUpdated daily

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Data2BidsChatGPT Plugin · Enterprise Knowledge Search & AI Context Layer

Discoverability Score

0/100

Invisible

Category rank

#20of 75

in Enterprise Knowledge Search & AI Context Layer

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

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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

Data2Bids0/100

Tools

11 tools agents can invoke

Main tool for project questions. Takes the user's question about the project, even if incomplete or misspelled. Without `project_id` it resolves the project within the signed-in company from metadata and content; when confident it runs the search in the same call. If ambiguous it returns candidate projects: ask only which project, never which file. Every excerpt and evidence item carries `file_name` and `page`: cite each claim with the literal file name and PDF page. When `source_url` is present (link to the original document in Google Drive, Dropbox or Microsoft 365), add it next to the citation, e.g. (Plan 703 - Structural.pdf, p. 7) [link]. The link opens the document, not the page. Never invent URLs.
data2bids_investigate
Optional. Searches one known project (by `project_id`) for the user's question and returns the most relevant excerpts plus the related knowledge-graph entities, revisions and conflicts. Use `data2bids_investigate` first; call this only when the project is already known and more graph context is needed. Cite each claim with the literal file name (`file_name`) and PDF page (`page`), plus the `source_url` link to the original document when present.
graphrag_project_context_investigate
Lists the indexed files of a project. Use `assistant_summary` and `data.files` to answer. Each file may include `source_url`, a link to the original document.
files_list
Lists the projects the signed-in user can access. Use `assistant_summary` and `data.projects` to answer.
projects_list
Lists the projects the user can access and whether each one has a knowledge graph built.
graphrag_projects_list
Returns the processing status of a project and whether it is ready to be queried.
projects_get_status
Returns the canonical text content of a file.
files_get_content
Returns a paged window of a file's content, for incremental reading or jumping straight to a relevant chunk.
files_get_content_page
Returns enriched file content, including multimodal artifacts (such as image and table descriptions) when available.
files_get_content_v2
Semantic search across a whole project. Cite each match with `file_name`, `page`, `source_url` if any.
retrieval_search_by_embeddings
Semantic search inside one specific file. Cite with `file_name`, `page` and `source_url` when present.
retrieval_get_matches_for_file

FAQs

Data2Bids ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Data2Bids'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 Data2Bids alternatives on ChatGPT?

As of 2026-11-02, Data2Bids competes with Dropbox Dash, AgentContext, Algolia Productivity, Analytics Brain, Archiveye, Atlan, Big Documents Agent, BitsWeave and 66 more in ChatGPT Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.

Where does Data2Bids rank in Enterprise Knowledge Search & AI Context Layer on ChatGPT?

As of 2026-11-02, Data2Bids ranks #20 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.

Get alerts for Data2Bids

Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

11 tools agents can invoke

Data2Bids ChatGPT Plugin FAQ