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Brand Mention Inventories — Daily Sum Series + IQR Outlier Flags
x402
Brand Mention Inventories — Daily Sum Series + IQR Outlier Flags 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 aggregated sums and IQR-based outlier flags for brand mention inventory data (mention_count, source_count) across company groups, returning up to 2 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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 independent analytical reports: (1) a daily sum series showing aggregated values of the selected field (mention_count or source_count) by date and company group, and (2) IQR-based outlier flags identifying which data points fall outside the interquartile range, for up to 200 supplied rows — all computed locally without external data lookups.
Example use cases
Weekly brand spike detection for PR team
“I have 120 rows of daily brand mention data for our two product lines across the past quarter — can you run the daily sum series and flag any IQR outliers in mention_count so I can see which days had unusual spikes?”
Source diversity anomaly monitoring
“Run the daily sum aggregation and IQR outlier flags on source_count for my brand mention inventory — I want to know which days had an abnormal number of distinct sources covering us compared to the typical range.”
Multi-brand mention comparison rollup
“I've got mention inventory records for three company groups over 60 days — can you compute the daily total mentions and flag statistical outliers using IQR so I can compare brand coverage patterns across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory records (up to 200 rows) and need both a daily aggregated sum series and IQR-based statistical outlier detection in a single low-cost call ($0.01 USDC for 2 reports). Ideal for offline/batch brand monitoring analytics where you supply your own data and want fast local computation without any external data lookups or live brand tracking. Not suitable for real-time brand monitoring, fetching live mention data, or processing more than 200 rows at once.
Side effects
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Input exceeding 200 rows is rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside ±1,000,000,000,000 bounds are rejected
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (only 'mention_count' or 'source_count' accepted)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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