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Brand Mention Inventories — Numeric Row Ordering + IQR Outlier Flags
x402
Brand Mention Inventories — Numeric Row Ordering + 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).
Sorts brand mention inventory rows numerically and flags statistical outliers using IQR analysis for mention_count or source_count fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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
Two analytical reports: (1) rows sorted in numeric order by the selected field (mention_count or source_count), and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range. Both reports are computed locally without external lookups, covering up to 200 input rows.
Example use cases
Outlier detection in brand mentions
“I have 50 rows of brand mention data across three company groups from Q3 — can you sort them by mention_count and flag any rows that are IQR outliers so I can investigate unusual spikes or drops?”
Source diversity anomaly identification
“Run an IQR outlier analysis on the source_count field across these brand mention inventory records for my two brand groups — I want to see which dates had an abnormally high or low number of sources.”
Ranked brand performance audit
“Order these brand mention inventory records numerically by mention_count and give me the outlier flags — I'm auditing our brand tracking data for entries that look statistically off before presenting to the team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory data (up to 200 rows) and need both numeric ranking and IQR-based outlier detection in a single call for mention_count or source_count. It is ideal for offline/local analysis with no external data dependencies, and is cost-effective at $0.01 USDC for two reports simultaneously. Prefer it over general-purpose analytics tools when you specifically need IQR outlier flagging paired with ordered row ranking for brand monitoring datasets.
Side effects
- Fewer than 1 row provided — minimum 1 row required
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields: row_id, company_group, date, mention_count, or source_count
- Field selector not one of 'mention_count' or 'source_count'
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure — 0.01 USDC not supplied via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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