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Brand Mention Inventories — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Brand Mention Inventories — Two-Measure Correlation + Explicit Missing-Value Fill 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 a two-measure correlation between mention_count and source_count, and fills missing values using a chosen strategy (zero, mean, or median), for up to 200 rows of brand mention inventory data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 correlation result showing the statistical relationship between mention_count and source_count across the supplied rows, and (2) a missing-value fill report for the specified field using the chosen strategy (zero, mean, or median). Both reports are computed locally without external lookups.
Example use cases
Missing mention data imputation for brand report
“I've got a dataset of 150 brand mention records across two company groups and some mention_count values are null — can you fill those missing values using the mean and also give me the correlation between mention_count and source_count?”
Cross-brand source and mention correlation
“We track brand mentions and source counts weekly across group-a and group-b, and I want to know how correlated those two measures are — please run the correlation analysis on these 80 rows and fill any missing source_count values with zero.”
Data quality check on mention inventory
“Before I hand off this brand mention inventory to the team, I need to fill in missing mention_count values using median imputation and get a correlation report between mention_count and source_count for the 60 rows I have — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory data (mention_count and source_count per row) and need both a correlation analysis between the two measures and a missing-value imputation in a single paid call. Ideal for offline or batch analytical workflows where no live data lookup, prediction, or external enrichment is needed. Best suited for datasets up to 200 rows requiring fast, local statistical computation.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema error
- No numeric values available for mean/median computation when all values are null — fill strategy may fail
- Invalid fill method or field enum value — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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