- Brand
- DataBlue
- Category
- Data & Analytics
- Primary Subcategory
- Web Search, Crawling & Extraction for Agents
Integration details
Description
DataBlue is a live web data layer for AI agents. In ChatGPT, users can search the web, scrape one or many public pages, map and crawl websites, extract structured facts, and query DataBlue's catalog of structured data APIs.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Web Search, Crawling & Extraction for Agents
- Secondary Subcategories
- None listed
- Brand
- DataBlue
- Access
- Account required
- First tracked
- 2026-09-16
- Tool count
- 10
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Your score is coming
ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.
What discovery looks like

Get alerts for DataBlue
Get updates when DataBlue’s Discoverability Score or category rank changes.
Competing in ChatGPT Web Search, Crawling & Extraction for Agents
View Category10 tools agents can invoke
DataBlue ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve DataBlue'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 DataBlue alternatives on ChatGPT?
As of 2026-10-31, DataBlue competes with Alpenmarketing Link-Check, Answer Images, Aya Web Extract, CaptureGPT, Chat Search, Context.dev, Deep research, Exa and 27 more in ChatGPT Web Search, Crawling & Extraction for Agents, 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.