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Business Directory Coverage Audit: Record Quality, String Normalisation & Adjacent Row Changes
x402
Business Directory Coverage Audit: Record Quality, String Normalisation & Adjacent Row Changes 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 business directory coverage records (listed_entities, verified_entities) for record quality, string normalisation issues, and adjacent row changes — producing 3 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied business directory coverage records (listed_entities, verified_entities). 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 covering: (1) record quality audit flagging malformed, null, or out-of-range values in the selected field; (2) string normalisation analysis identifying inconsistent formatting in string fields such as company_group; and (3) adjacent row changes report showing value differences between consecutive rows. All reports are derived from the supplied data with no external lookups.
Example use cases
Weekly data quality check on directory records
“Run the three-report business directory audit on my weekly coverage data — I have 12 rows across company groups 'north-region' and 'south-region' from 2026-11-01 to 2026-11-12 with listed_entities and verified_entities values — check the verified_entities field for quality issues, string normalisation, and changes between adjacent rows.”
Detecting sudden drops in verified entity counts
“I need to spot where my verified_entities counts are dropping unexpectedly between consecutive days — here are 50 rows of directory coverage records for company group 'enterprise-division' across October 2026. Run the adjacent row changes and record quality reports on the verified_entities field.”
Normalising company group strings before a data merge
“Before I merge my business directory datasets, can you run the string normalisation audit on these 80 rows? The company_group strings might have inconsistent casing or formatting — I want to check both listed_entities and verified_entities fields for normalisation issues along with the full record quality report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-efficient ($0.01 USDC) analytical pass over up to 200 business directory coverage rows without any live data lookups or external dependencies. It is ideal when you already have the directory data locally and need three simultaneous diagnostic views — quality audit, string normalisation, and row-to-row delta analysis — in a single API call. Prefer it over single-report alternatives when all three analytical dimensions are relevant to your data pipeline or QA workflow.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, company_group, listed_entities, or verified_entities) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minItems constraint violation
- Invalid field enum value (not 'listed_entities' or 'verified_entities') — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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