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Brand Mention Inventories — Two-Measure Correlation + Date-by-Category Pivot
x402
Brand Mention Inventories — Two-Measure Correlation + 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).
Runs two analytical reports on supplied brand mention data: a correlation between mention_count and source_count, plus a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Two-measure correlation + Date by category pivot: Two-measure correlation + 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 independent analytical reports: (1) a two-measure correlation result quantifying the relationship between mention_count and source_count across all supplied rows, and (2) a date-by-category pivot table breaking down the selected field (mention_count or source_count) by date and company_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Brand coverage correlation for PR team
“We tracked daily brand mentions and source counts for our two product lines over Q4 — about 120 rows. Run the correlation between mention_count and source_count and also pivot the mention_count by date and company group so we can see which line dominated each day.”
Competitor mention analysis pivot
“I've got 180 rows of brand mention inventory data comparing three competitor groups across the past 6 months. Can you compute the correlation between their mention counts and source counts, and give me a date-by-category pivot on mention_count so I can spot seasonal patterns?”
Media monitoring audit for agency report
“Our client's brand monitoring export has 90 rows with date, company_group, mention_count, and source_count columns. Please run the two-measure correlation report and the date-by-category pivot — we need both outputs for the weekly agency deck.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular brand mention records (up to 200 rows) with both mention_count and source_count fields and need two complementary analytical views — a numeric correlation between the two measures and a date-by-category pivot — in a single low-cost call. It is not a live data fetcher or predictor; it only operates on data you supply.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected, exceeds row limit
- Missing required fields (row_id, company_group, date, mention_count, source_count) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Null values in both measure columns for all rows — correlation cannot be computed
- Payment of 0.01 USDC not provided or declined — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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