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Brand Mention Inventories — Category Frequencies + Date by Category Pivot
x402
Brand Mention Inventories — Category Frequencies + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Analyzes brand mention inventory records to produce two reports: category frequency counts and a date-by-category pivot, for up to 200 rows of mention and source count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied brand mention inventories records (mention_count, source_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports computed locally from the supplied data: (1) a category frequency table showing aggregated mention_count or source_count totals per company_group, and (2) a date-by-category pivot table cross-tabulating the selected metric (mention_count or source_count) across dates and company groups. No external data is fetched.
Example use cases
Weekly brand share-of-voice report
“I have 150 rows of brand mention data with company groups like 'Nike', 'Adidas', and 'Puma', daily dates throughout October 2026, plus mention_count and source_count. Can you give me the category frequency totals for each brand and a pivot of mention_count by date and company group?”
Competitive media coverage analysis
“Run a category frequency analysis and date-by-category pivot on my brand mention inventory — I've got records for groups 'TechCorp' and 'RivalCo' from 2026-09-01 through 2026-09-30, with mention_count and source_count per day. I want to compare their coverage patterns using the source_count field.”
PR campaign performance tracking
“I have 80 brand mention rows covering our campaign launch period from 2026-11-01 to 2026-11-20, split into company groups 'ProductA' and 'ProductB'. Can you produce the category frequency report and the date-by-category pivot using mention_count so I can see which product got more traction each day?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-110?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected brand mention records with company group and date dimensions and need both a category frequency breakdown and a date-by-category pivot computed analytically — without requiring live data lookup, external enrichment, or predictions. It is ideal for lightweight, low-cost ($0.01 USDC) offline batch summarization of brand mention inventory data already in hand.
Side effects
- Exceeding 200 rows causes rejection — trim input to at most 200 records
- Missing required fields (row_id, company_group, date, mention_count, source_count) on any row causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Providing an invalid field enum value (not 'mention_count' or 'source_count') returns an error
- Submitting an empty rows array (minItems:1 violated) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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