- 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
- Geography
- 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 ecosystems, with the largest database on the core platforms. Tracked daily since .
0/100
Invisible#2of 15
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
- 5Delivery Report Extractor0
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 2026-10-22, Category Reference Mapping competes with Bank Statement Conversion, CSV Column Mapping Plan, Customer Info Validator, Delivery Report Extractor, Duplicate Record Audit, Fraud Blocker, GTFS Validator, GTIN Checksum Audit and 6 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 2026-10-22, Category Reference Mapping ranks #2 of 15 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.