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Business Directory Coverage — Record Quality Audit + IQR Outlier Flags
x402
Business Directory Coverage — Record Quality Audit + 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).
Audits supplied business directory coverage records (listed_entities, verified_entities) for data quality and flags statistical outliers using IQR analysis, producing 2 independent reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + IQR outlier flags: Record quality audit + 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 2 independent analytical reports: a record quality audit identifying data completeness and integrity issues across the supplied rows, and an IQR-based outlier detection report flagging statistically anomalous values in the selected field (listed_entities or verified_entities) — all computed locally without any live lookups or external data.
Example use cases
Monthly directory coverage quality check
“I have 50 rows of business directory coverage data for October 2026, each with a company group, date, listed_entities count, and verified_entities count. Can you run a record quality audit and flag any IQR outliers on the listed_entities field for me?”
Detecting anomalous verified entity counts
“Something looks off in our verified_entities numbers across our directory groups — can you run an IQR outlier audit on these 120 rows of directory coverage records and tell me which rows are statistical anomalies in the verified_entities field?”
Pre-reporting data validation for directory coverage
“Before I use this business directory dataset in my report, I need a quality audit and outlier check. Here are 80 rows with row_id, company_group, date, listed_entities, and verified_entities — please run the IQR outlier flags analysis on listed_entities and flag any bad records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business directory coverage data (listed_entities, verified_entities) that you want to audit for quality and outliers using IQR statistical methods, without needing live lookups or external enrichment. It is ideal for batch validation of up to 200 rows before using directory data in downstream analysis or reporting. Prefer alternatives if you need live data retrieval, predictive analytics, or enrichment from external sources.
Side effects
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) cause validation errors
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in numeric fields may affect IQR computation coverage
- Submitting zero rows returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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