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Brand Mention Inventories — Category Frequencies + Trailing Mean Series
x402
Brand Mention Inventories — Category Frequencies + Trailing Mean Series 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-level frequency distributions and trailing moving-average time series for supplied brand mention inventory records (mention_count or source_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 structured analytical reports: (1) category frequencies showing mention or source counts aggregated per company_group category, and (2) a trailing mean series showing rolling averages of the selected metric (mention_count or source_count) over the specified window size, computed locally without external lookups or predictions.
Example use cases
Brand share analysis by company group
“I've got daily brand mention records for three company groups over the past quarter — can you compute the category frequencies and a trailing mean series with a window of 14 on mention_count so I can see which group is trending up?”
Media source coverage smoothing
“Here are 200 rows of brand monitoring data with source_count by date and company group. Run the category frequencies and trailing mean analysis on source_count with a window of 5 so I can smooth out the noise.”
Weekly brand pulse reporting
“I need two reports from my brand mention inventory: category frequencies and a 4-period trailing mean series for mention_count — I have about 80 rows with date, row_id, company_group, mention_count, and source_count ready to send.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need two specific offline analytical outputs — category frequency distributions and trailing moving averages — in a single low-cost ($0.01 USDC) call. It is ideal when you want local computation with no external data lookup, prediction, or live data enrichment. Prefer alternatives if you need more than 200 rows, real-time data fetching, or analytical report types other than frequency and trailing mean.
Side effects
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit
- Window size outside range 2–200 is rejected
- Malformed date strings not matching YYYY-MM-DD pattern fail validation
- Null values in the selected field may affect trailing mean computation
- Payment failure (insufficient USDC balance) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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