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Brand Mention Inventories — Daily Sum & Trailing Mean Series
x402
Brand Mention Inventories — Daily Sum & 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 daily sum series and trailing moving-average series for supplied brand mention inventory records (mention_count or source_count) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Daily sum series + Trailing mean series: Daily sum series + 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
Returns two analytical reports: (1) a daily sum series showing the total mention_count or source_count aggregated per date (and optionally per company_group), and (2) a trailing mean series computed over the specified window size — both derived entirely from the supplied input rows with no external data lookups.
Example use cases
PR campaign brand mention trend analysis
“I've got daily brand mention records for our two product lines from the last 6 months, up to 200 rows. Can you compute the daily sum totals and a 14-day trailing moving average for mention_count so I can see how the PR campaign is performing over time?”
Competitive source coverage smoothing
“Here are 180 rows of brand inventory data with source_count by company group and date. Please run a daily sum and a 30-day trailing mean on source_count so I can track which competitor is getting more media coverage and whether it's trending up or down.”
Weekly brand health reporting
“I need a quick time-series summary of our brand mentions data — I have about 90 rows with mention_count per company group per day. Can you give me the daily sums and a 7-day rolling mean for mention_count so I can put together this week's brand health report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-136?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 complementary time-series computations — daily sums and trailing moving averages — produced in a single call at minimal cost ($0.01 USDC). It operates purely on supplied data with no live lookups, making it suitable for deterministic, reproducible analytics on historical brand mention or source coverage records.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, company_group, mention_count, source_count) on any row causes validation error
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Window parameter less than 2 or greater than 200 is invalid
- Empty rows array (minItems:1 not satisfied) returns error
- Null numeric values in mention_count or source_count may affect aggregation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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