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Brand Mention Inventories — Adjacent Row Changes + Date by Category Pivot
x402
Brand Mention Inventories — Adjacent Row Changes + 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 2026-10-16).
Computes adjacent row-over-row changes and a date-by-category pivot table for supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + 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
Returns two analytical reports derived entirely from supplied data: (1) an adjacent row changes report showing the difference in the selected metric (mention_count or source_count) between each consecutive row, and (2) a date-by-category pivot table cross-tabulating the metric values by date and company_group. No external data is fetched; all computation is performed on the provided rows (up to 200).
Example use cases
Track brand mention momentum week over week
“I have 50 rows of daily brand mention data for three company groups from Q3 — can you compute the adjacent row changes for mention_count so I can see where momentum shifted between consecutive days?”
Pivot brand mentions by date and company group
“Take my brand mention inventory records for group-a and group-b over the last month and generate a date-by-category pivot using source_count — I want to see how each group compares across dates in one table.”
Dual report on competitor mention inventory
“Here's my brand mention dataset with 120 rows covering five competitor groups through November 2026 — run both the adjacent row change report and the date-by-category pivot on mention_count so I can spot trends and cross-group patterns at once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have an in-hand dataset of brand mention inventory records (up to 200 rows) and need both a row-over-row change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — just fast local computation on supplied rows. At $0.01 USDC for two reports, it is highly cost-efficient for structured brand mention time-series analysis.
Side effects
- Missing required row fields (row_id, company_group, date, mention_count, source_count) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error
- Invalid field enum value (not mention_count or source_count) causes rejection
- Empty rows array is not accepted (minItems: 1)
- Payment of 0.01 USDC must be included via x402 protocol or request is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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