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Brand Mention Inventories — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flags
x402
Brand Mention Inventories — Record Quality Audit, Exact Row Deduplication & 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).
Runs three local analytical reports on supplied brand mention inventory rows: a record quality audit, exact row deduplication, and IQR-based outlier flagging on mention_count or source_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied brand mention inventories records (mention_count, source_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit identifying missing, malformed, or invalid field values; (2) an exact row deduplication report listing duplicate rows across all fields; (3) IQR outlier flags marking records where the selected numeric field (mention_count or source_count) falls outside the interquartile range. All computed locally with no external lookups.
Example use cases
Pre-analysis data quality check
“Before I run my brand share analysis, can you audit these 80 brand mention rows for record quality problems, find any exact duplicate rows, and flag outliers in mention_count using IQR? I need all three reports.”
Deduplicating media monitoring exports
“I exported brand mention data from our media monitoring tool and I think there are duplicates. Can you run exact row deduplication plus a quality audit on these 120 rows tracking mention_count and source_count by company group?”
Outlier detection for source count anomalies
“Can you run IQR outlier flagging on the source_count field for these 40 brand mention inventory records grouped by company, along with a quality audit and deduplication check?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 brand mention inventory rows and need all three of: a record quality audit, exact deduplication, and IQR-based outlier detection in a single $0.01 call. It is a purely local, offline analytical service — ideal for data cleaning pipelines before downstream brand analytics, when you do not need live data lookups, predictions, or external integrations.
Side effects
- Fewer than 1 row provided — API rejects request
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date, mention_count, source_count) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not mention_count or source_count) — request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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