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Brand Mention Inventories — Numeric Distribution + Trailing Mean Series
x402
Brand Mention Inventories — Numeric Distribution + 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 numeric distribution statistics and a trailing mean series for brand mention inventory data (mention_count, source_count) supplied by the caller — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric distribution + Trailing mean series: Numeric distribution + 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 for the supplied dataset: (1) a numeric distribution summary (e.g. min, max, mean, percentiles) for the chosen field, and (2) a trailing mean series computed over the specified rolling window — both derived entirely from caller-supplied rows, with no external data fetched.
Example use cases
Monthly brand mention trend analysis
“I've got 150 rows of daily brand mention data for three company groups from Q3 2026, each with a mention_count and source_count. Can you compute the numeric distribution and trailing mean series with a window of 14 for mention_count so I can see how coverage is trending?”
Source diversity stats for competitor benchmarking
“Here are 80 brand mention records across two competitor groups — please run the numeric distribution and trailing mean report on source_count with a window of 7, so I can compare how diversified their media coverage is over time.”
Weekly rolling average for PR campaign monitoring
“I need to track our PR campaign's reach: I have 60 rows of brand mention data with daily mention_count figures for 'brand-x'. Can you calculate the numeric distribution and a trailing mean series using a window of 5 on mention_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of brand mention inventory data already in hand and need both a numeric distribution summary and a trailing mean time series in a single low-cost call ($0.01 USDC). It is purely analytical — no external lookups, predictions, or live data — making it ideal for offline post-processing of collected brand monitoring datasets.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Invalid date format (non YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, mention_count, source_count) — rejection
- Window size outside 2–200 range — validation error
- Non-numeric values in mention_count or source_count fields — processing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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