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Business Directory Coverage — Duplicate Key Report + IQR Outlier Flags
x402
Business Directory Coverage — 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 up to 200 rows of business directory coverage data to produce a duplicate key report and IQR-based outlier flags for listed_entities and verified_entities fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied business directory coverage records (listed_entities, verified_entities). 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 repeated key combinations (row_id, company_group, date), and (2) IQR-based outlier flags marking rows where the selected field (listed_entities or verified_entities) falls outside the interquartile range bounds. No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Duplicate detection in directory coverage dataset
“I have 80 rows of business directory coverage data with company_group, date, listed_entities, and verified_entities columns — can you run a duplicate key report on them so I can find any rows that share the same row_id or company_group/date combination?”
IQR outlier flagging for verified entity counts
“Can you analyze this set of 120 business directory coverage records and flag any statistical outliers in the verified_entities column using IQR outlier detection? I want to know which company groups have unusually high or low verification numbers.”
Data quality audit before CRM import
“Before I import these 150 directory coverage rows into our CRM, can you run both a duplicate key check and an IQR outlier analysis on listed_entities to catch any bad data — I need the full report covering all company groups and dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously check a batch of business directory coverage records for both duplicate key issues and statistical outliers in a single call at low cost. It is best suited for offline/batch data quality audits on datasets of up to 200 rows, where no live lookup or external enrichment is needed. Prefer it over general-purpose data tools when you specifically need IQR-based outlier detection combined with duplicate key identification on directory coverage metrics (listed_entities, verified_entities).
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maximum and will be rejected
- Rows missing required fields (row_id, company_group, date, listed_entities, verified_entities) fail schema validation
- Date fields not matching YYYY-MM-DD pattern cause parsing errors
- Numeric fields outside the allowed range (-1e12 to 1e12) are rejected
- Insufficient data variance may result in no outliers being flagged (all values within IQR)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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