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Brand Mention Inventories — Numeric Distribution + Daily Sum Series
x402
Brand Mention Inventories — Numeric Distribution + 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 2026-10-16).
Computes numeric distribution statistics and a daily sum time series for 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 — Numeric distribution + Daily sum series: Numeric distribution + 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 analytical reports on the supplied brand mention inventory rows: (1) a numeric distribution report showing statistical spread (e.g., min, max, mean, percentiles) of the selected field (mention_count or source_count), and (2) a daily sum series aggregating the selected field totals by date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Weekly brand mention trend review
“I have a week of brand mention data across two company groups — can you run a daily sum series and numeric distribution on the mention_count field? Here are 7 rows: row-1 2026-10-01 group-a mention_count 12 source_count 2, row-2 2026-10-02 group-b mention_count 25 source_count 3, row-3 2026-10-03 group-a mention_count 8 source_count 1, row-4 2026-10-04 group-b mention_count 40 source_count 5, row-5 2026-10-05 group-a mention_count 18 source_count 4, row-6 2026-10-06 group-b mention_count 33 source_count 6, row-7 2026-10-07 group-a mention_count 22 source_count 3.”
Source count distribution across brands
“Can you compute the numeric distribution and daily sum series for source_count across my brand mention inventory? I have rows: row-1 2026-11-01 group-alpha mention_count 5 source_count 10, row-2 2026-11-02 group-beta mention_count 8 source_count 15, row-3 2026-11-03 group-alpha mention_count 3 source_count 7, row-4 2026-11-04 group-beta mention_count 12 source_count 20 — use source_count as the field.”
Competitor mention comparison analysis
“I want to compare brand mention counts for two competitor groups statistically — please run a numeric distribution and daily sum series on the mention_count field for these records: row-1 2026-09-10 competitor-x mention_count 50 source_count 8, row-2 2026-09-11 competitor-y mention_count 30 source_count 5, row-3 2026-09-12 competitor-x mention_count 60 source_count 9, row-4 2026-09-13 competitor-y mention_count 45 source_count 7, row-5 2026-09-14 competitor-x mention_count 55 source_count 10.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory records (with mention_count and source_count per company group and date) and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is best suited for offline/batch analytical use cases where you supply the data yourself and need two complementary reports — distribution and daily sums — without requiring live data fetching, external lookups, or prediction.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200 rows per call
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields: row_id, company_group, date, mention_count, or source_count
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'mention_count' or 'source_count'
- row_id exceeds 80 character limit or is empty
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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