- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Aginera reads construction drawing sets (PDF, DWG, DXF) and returns structured quantity takeoffs: counted fixtures and devices by printed mark, measured conduit, pipe and duct runs, and equipment and panel schedules, each linked back to the sheet it came from. It can also convert PDF drawings to CAD (DXF and DWG). Use it to find your Aginera projects and drawings, read takeoffs you or your team already ran in the Aginera web app, start a new takeoff on an uploaded drawing, review individual line items, and export results to CSV, Excel or JSON. Built for estimators, contractors and engineers in electrical, mechanical, plumbing, fire protection, structural and civil trades. Aginera only accesses projects in the Aginera account you connect. ChatGPT asks before starting a new takeoff; reading existing results does not start any new work. Quantities are extracted by AI and should be reviewed by an estimator before use.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-31
- Tool count
- 21
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competitive lineup
21 tools agents can invoke
Aginera ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Aginera'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.