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Brand Mention Inventories — Equal-Width Histogram + Date by Category Pivot
x402
Brand Mention Inventories — Equal-Width Histogram + 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).
Generates two local analytical reports (equal-width histogram and date-by-category pivot) for supplied brand mention inventory data (mention_count, source_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Equal-width histogram + Date by category pivot: Equal-width histogram + 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
Two analytical reports: (1) an equal-width histogram showing frequency distribution of the selected field (mention_count or source_count) across the specified number of bins, and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed locally from the supplied data rows.
Example use cases
Brand share distribution across competitor groups
“I have 150 rows of brand mention records for our top 5 competitors with mention_count and source_count. Can you run a histogram with 8 bins on mention_count and also pivot the data by date and company_group so I can see how each brand's mentions are distributed over time?”
Media source coverage analysis for PR report
“I need to understand how evenly our media source coverage is spread — I have 80 brand mention rows with source_count values. Please generate an equal-width histogram using 6 bins on source_count and a date-by-category breakdown by company_group.”
Quarterly brand monitoring data summary
“Here are 200 rows of brand mention inventory records from Q3. Run a 5-bin histogram on mention_count and a date-by-category pivot by company_group so I can see both the distribution shape and the trend over dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 brand mention inventory rows with mention_count and/or source_count fields and need both a histogram distribution view and a date-by-category pivot in a single low-cost call. Ideal for offline/supplied-data analysis where no live data lookup or external enrichment is needed. Best suited for brand monitoring, PR analytics, or competitive intelligence workflows that require summarizing mention frequency distributions alongside temporal category breakdowns.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (non YYYY-MM-DD) causes row rejection
- Bins value outside 1-30 range triggers schema validation failure
- Missing required fields (row_id, company_group, date, mention_count, source_count) causes row-level errors
- Null numeric values may reduce effective row count in histogram
- Payment of 0.01 USDC not completed results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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