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Business Directory Coverage Analyzer — Record Quality Audit, String Normalisation & Category Frequencies
x402
Business Directory Coverage Analyzer — Record Quality Audit, String Normalisation & Category Frequencies 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 record quality, normalises strings, and computes category frequencies for up to 200 business directory coverage rows (listed_entities, verified_entities) in a single call with three independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, null, or malformed fields; (2) a string normalisation report cleaning and standardising company_group name values; and (3) a category frequency report showing distribution counts across company groups and date ranges — all computed locally without any external lookups or live data calls.
Example use cases
Monthly directory coverage health check
“Run a full record quality audit and category frequency report on our monthly business directory snapshot — I have 50 rows covering groups like retail, hospitality, and finance with their listed and verified entity counts for each day in October 2026.”
Normalising messy company group labels
“Some of my company group names in our directory coverage dataset are inconsistently formatted — can you run string normalisation on these 80 rows so I can see what canonical group names come out and how they're distributed?”
Verifying coverage data before pipeline ingestion
“Before I load this business directory coverage dataset into our data pipeline, can you audit its record quality, normalise the strings, and show me category frequencies? I've got 120 rows with listed_entities and verified_entities fields spanning November 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-efficient batch analysis of business directory coverage records combining quality auditing, string normalisation, and frequency analysis in a single call. It is ideal for pre-ingestion data validation, directory data hygiene checks, and coverage reporting workflows where no external lookups or live data are needed. At $0.01 USDC for three reports on up to 200 rows, it is well-suited for recurring data pipeline quality gates.
Side effects
- Exceeding 200 rows causes a validation error rejecting the request
- Missing required fields (row_id, date, listed_entities, verified_entities, company_group) cause row-level or batch rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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