- Brand
- DUOPORE
- Category
- Operations
- Primary Subcategory
- Data Validation & Normalization Utilities
Integration details
Description
Maps source category text against supplied reference rules using exact or trimmed case-insensitive matching. Flags unmapped categories; duplicate normalized rules are rejected. Does not infer a marketplace taxonomy. Uses explicitly supplied structured inputs. Server computations are transient; the standalone website computes locally in your browser. Review the output before exporting it. No persistent account records, external source retrieval, sending, transactions or paid model calls. CSV/JSON review and export are available on the standalone website. MCP requests are capped at 128 KiB and computed responses at 256 KiB; individual field and record limits also apply.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Data Validation & Normalization Utilities
- Secondary Subcategories
- None listed
- Brand
- DUOPORE
- Access
- No account required
- First tracked
- 2026-10-20
- Tool count
- 1
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Agent DiscoverabilityChatGPT Discoverability ScoreUpdated dailyThe first to track the ChatGPT, Claude, Muse, Grok & Google ecosystems, with the largest database on the core platforms. Tracked daily since .
0/100
Invisible#2of 20
in Data Validation & Normalization Utilities- Picked
- 0.0/100
- Found
- 0.0/100
- Positioned
- –/100
Category leaderboard
Data Validation & Normalization Utilities
- 1Bank Statement Conversion0
- 2Category Reference Mapping0
- 3CSV Column Mapping Plan0
- 4Customer Info Validator0
- 5DataCleanist0
Get alerts for Category Reference Mapping
Get updates when Category Reference Mapping’s Discoverability Score or category rank changes.
Competing in ChatGPT Data Validation & Normalization Utilities
View Category1 tool agents can invoke
Category Reference Mapping ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Category Reference Mapping'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 Category Reference Mapping alternatives on ChatGPT?
As of 2026-11-02, Category Reference Mapping competes with Bank Statement Conversion, CSV Column Mapping Plan, Customer Info Validator, DataCleanist, Delivery Report Extractor, Delpha, Duplicate Record Audit, Fraud Blocker and 11 more in ChatGPT Data Validation & Normalization Utilities, ranked by public Discoverability Score.
Where does Category Reference Mapping rank in Data Validation & Normalization Utilities on ChatGPT?
As of 2026-11-02, Category Reference Mapping ranks #2 of 20 in ChatGPT Data Validation & Normalization Utilities 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.