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Brand Mention Inventories — Duplicate Key Report + IQR Outlier Flags
x402
Brand Mention Inventories — Duplicate Key Report + 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).
Analyzes supplied brand mention inventory rows to produce a duplicate key report and IQR-based outlier flags for mention_count or source_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Duplicate key report + IQR outlier flags: Duplicate key report + 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 duplicate key report identifying rows with matching key combinations, and (2) IQR outlier flags marking rows where the selected metric (mention_count or source_count) falls outside the interquartile range. Up to 200 rows processed per call.
Example use cases
Marketing data quality audit
“I have a CSV of brand mention records with columns row_id, company_group, date, mention_count, and source_count — can you run a duplicate key check and flag any IQR outliers in the mention_count field across these 120 rows?”
Detecting anomalous source spikes
“Run an IQR outlier analysis on the source_count field for my brand mention inventory — here are 80 rows tagged by company group and date, and I want to know which ones are statistical outliers.”
Pre-pipeline data validation
“Before I load this brand mention dataset into our warehouse, can you scan these 200 rows for duplicate row_ids or company_group/date combos, and also flag any mention_count values that fall outside the IQR range?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local analytical quality checks on brand mention inventory data — specifically duplicate key detection and IQR-based outlier flagging — without requiring external lookups, predictions, or live data connections. Ideal for pre-ingestion data validation, periodic data audits, or lightweight anomaly detection on batches of up to 200 brand mention records at very low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Numeric values outside allowed range — schema rejection
- Invalid field enum value (not mention_count or source_count) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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