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Brand Mention Inventories — Category Frequencies & Daily Sum Series
x402
Brand Mention Inventories — Category Frequencies & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Computes category-level frequency breakdowns and daily sum time series for supplied brand mention inventory data (mention_count, source_count) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Category frequencies + Daily sum series: Category frequencies + Daily sum 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
Returns two independent analytical reports: (1) category frequencies showing how mention_count or source_count values are distributed across company_group categories, and (2) a daily sum time series aggregating the selected metric by date — both computed locally against the supplied rows (up to 200).
Example use cases
Compare brand mention share across competitors
“I've got 150 rows of daily brand mention data for three competitor groups across Q3 — can you compute the category frequencies and daily sum series for mention_count so I can see which group dominates each day and overall?”
Track media source reach over time
“Here are our brand mention inventory records for the past two months, one row per day per group. Run the category frequency and daily sum series reports on source_count so I can see how our media source reach is trending daily.”
Validate brand monitoring data distribution
“We just exported brand mention data for group-a and group-b — 80 rows total. Can you generate the category frequency breakdown and daily sum series for mention_count so I can check whether the distribution looks right before we report it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-102?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected brand mention inventory data (with date, company_group, mention_count, source_count fields) and need both a category-level frequency breakdown and a daily aggregated time series in one call. It is ideal for offline/batch analytical summarization of up to 200 rows without requiring any external data lookup or live data feed. Prefer this over live brand monitoring APIs when your data is already gathered and you simply need structured aggregation reports.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — exceeds maximum input limit
- Invalid date format (not YYYY-MM-DD) — row rejected or error returned
- Field enum value not recognized — defaults or errors depending on implementation
- Null numeric values in mention_count/source_count may be excluded from sums
- row_id missing or too long — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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