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Brand Mention Inventories — IQR Outlier Flags + Two-Measure Correlation
x402
Brand Mention Inventories — IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and two-measure correlation analysis on up to 200 rows of brand mention inventory data (mention_count, source_count).
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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) IQR outlier flags indicating which rows have mention_count or source_count values outside the interquartile range bounds, and (2) a two-measure correlation report showing the statistical relationship between mention_count and source_count across the supplied rows. No external data is fetched; all analysis is performed on the submitted dataset.
Example use cases
PR spike anomaly detection
“I've got daily brand mention counts for three company groups across the last quarter — can you run IQR outlier detection on the mention_count field and tell me which rows are flagged as anomalies?”
Source diversity vs mention volume correlation
“I want to know if brands that get mentioned more also tend to come from more sources — can you compute the correlation between mention_count and source_count across my 150-row dataset?”
Competitive brand monitoring audit
“I'm auditing our brand mention inventory across group-a and group-b for the past month — please flag IQR outliers and show me the two-measure correlation between mention_count and source_count so I can spot anything unusual.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of brand mention records (up to 200 rows) and need both IQR-based outlier flagging and a correlation analysis between mention_count and source_count in a single $0.01 call. Prefer it over general-purpose analytics when your data fits the brand-mention schema (company_group, date, mention_count, source_count) and you want two statistical reports bundled together without setting up external analytics infrastructure.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Non-numeric values in mention_count or source_count — parse error
- All values identical — IQR is zero, correlation undefined or NaN
- Missing required fields (row_id, company_group, date) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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