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Brand Mention Inventories — Category Frequencies + Two-Measure Correlation
x402
Brand Mention Inventories — Category Frequencies + Two-Measure Correlation 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 category frequencies and a two-measure correlation (mention_count vs source_count) for up to 200 rows of brand mention inventory data using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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: (1) a category frequency table showing the distribution of records across company groups, and (2) a two-measure correlation analysis between mention_count and source_count across the supplied rows — all computed locally without external lookups.
Example use cases
Brand share frequency analysis
“I've got 150 rows of brand mention records across four company groups with mention_count and source_count per day. Can you give me the category frequency breakdown by group and tell me how strongly mention_count and source_count correlate across the whole dataset?”
Competitive brand mention correlation
“I'm tracking brand mentions for three competitors — AlphaCo, BetaCo, and GammaCo — by date, with mention_count and source_count for each row. Run the category frequencies per company group and compute the two-measure correlation between mention volume and source diversity.”
Monthly brand media audit
“Here are 80 rows of brand mention inventory data for October, with company_group, date, mention_count, and source_count. Please compute the frequency distribution by company group and the correlation between mention_count and source_count so I can include it in my monthly media report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured brand mention records with numeric mention_count and source_count fields and need both a group-level frequency breakdown and a correlation between the two measures in a single low-cost call. It is ideal for offline or batch analytical tasks on pre-collected data where no live data fetching, prediction, or external enrichment is needed.
Side effects
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in both measure columns may result in undefined or degenerate correlation output
- Payment not supplied or insufficient USDC causes x402 payment rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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