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Brand Mention Inventories — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Brand Mention Inventories — Numeric Interval Filter + Secondary-Measure Weighted Mean 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).
Filters brand mention inventory rows by a numeric interval on a chosen field and computes a source-count-weighted mean of mention data, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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 up to 2 analytical reports: (1) the subset of input rows whose chosen field (mention_count or source_count) falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed over those filtered rows, using source_count as the weighting factor. Results are derived entirely from supplied data with no external lookups.
Example use cases
Filter mentions for mid-tier brand exposure
“I've got brand mention inventory rows for groups A and B over last quarter — filter on mention_count between 10 and 50, then give me the source-count-weighted mean so I can see which group has more genuine reach.”
Weighted mean for source-count outlier check
“Can you take my brand mention dataset (200 rows), filter to rows where source_count falls between 2 and 100, and return a source-count-weighted mean of mention_count? I want two reports side by side.”
Compare mention intensity by company group
“Run an interval filter on my brand mention inventory for mention_count between 0 and 30 across all company groups, then compute the weighted mean using source_count as the weight — I need this for a Monday marketing review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (mention_count, source_count, company_group, date) and need both interval-based row filtering and a secondary-measure weighted mean in a single call. It is ideal for batch analytical summarization of up to 200 rows without requiring any external data source, live lookup, or external API. Prefer it over general-purpose analytics tools when you need cost-effective ($0.01 USDC for 2 reports) on-demand computation on supplied tabular brand data.
Side effects
- Fewer than 1 row provided — request rejected (minItems:1 violated)
- More than 200 rows provided — request rejected (maxItems:200 violated)
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Minimum value exceeds maximum value — may return empty filtered set or logical error
- Null values in mention_count or source_count — may affect weighted mean calculation
- field enum value not in ['mention_count','source_count'] — validation failure
- row_id missing or empty string — required field violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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