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Business Directory Coverage — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Business Directory Coverage — Record Quality Audit + String Normalisation + Numeric Distribution 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 (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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: (1) a record quality audit identifying missing values, nulls, or structural issues; (2) a string normalisation report for company_group and other string fields; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, outliers) for the selected numeric field (listed_entities or verified_entities). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Data quality check before pipeline ingestion
“Before I load this batch of business directory records into our pipeline, can you audit them for quality issues, normalise the company_group strings, and show me the numeric distribution of listed_entities? I have about 150 rows with date, row_id, company_group, listed_entities, and verified_entities.”
Comparing entity verification rates across groups
“I want to understand how verified_entities is distributed across my different company groups — can you run a numeric distribution report on the verified_entities field and also flag any record quality issues in my 80-row business directory dataset?”
Cleaning up inconsistent directory company names
“My business directory export has inconsistently formatted company_group names — can you run the string normalisation report on my coverage records and also give me a quality audit so I can see which rows have nulls or anomalies in listed_entities and verified_entities?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business directory coverage data and need three bundled analytical reports — quality audit, string normalisation, and numeric distribution — in a single low-cost call ($0.01 USDC). It is best suited for offline/batch data profiling tasks with no need for live lookups, external enrichment, or predictive modelling. Prefer this over separate analytics tools when you want a quick, cheap multi-report pass on directory data before ingestion or analysis.
Side effects
- Empty rows array or fewer than 1 row returns a validation error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) causes row rejection
- Non-numeric values in listed_entities or verified_entities fields cause parsing errors
- Invalid field enum value (not 'listed_entities' or 'verified_entities') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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