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Brand Mention Inventories — Numeric Distribution & Two-Measure Correlation
x402
Brand Mention Inventories — Numeric Distribution & 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 2026-10-20).
Computes numeric distribution statistics and correlation between mention_count and source_count for supplied brand mention inventory records (up to 200 rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric distribution + Two-measure correlation: Numeric distribution + 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 for the supplied dataset: (1) a numeric distribution report showing spread, central tendency, and frequency characteristics of the selected field (mention_count or source_count), and (2) a two-measure correlation report quantifying the statistical relationship between mention_count and source_count across up to 200 input rows.
Example use cases
Brand share-of-voice statistical audit
“I have 120 rows of brand mention data across three company groups with dates and mention counts — can you compute the numeric distribution for mention_count and also show me the correlation between mention_count and source_count?”
PR campaign source diversity check
“After our Q3 PR campaign I have 80 brand mention records with both mention_count and source_count. Can you run both a distribution analysis and a two-measure correlation on that data to see if higher mention counts are coming from more diverse sources?”
Competitive brand monitoring summary
“I'm tracking two competitor brands daily and have 150 rows with date, company_group, mention_count, and source_count. Give me a numeric distribution and correlation report using source_count as the primary field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-081?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a distribution summary and a correlation between mention_count and source_count in a single low-cost call. It is ideal for offline/batch statistical analysis of brand monitoring datasets without requiring any live data lookup, external enrichment, or prediction.
Side effects
- Missing required fields (row_id, date, company_group) cause validation errors
- Fewer than 1 row or more than 200 rows triggers schema validation failure
- Invalid date format (non YYYY-MM-DD) causes rejection
- Null values in both measure fields may reduce correlation reliability
- Extreme numeric values outside ±1,000,000,000,000 are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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