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Business Directory Coverage — Record Quality Audit, String Normalisation & Base-100 Series
x402
Business Directory Coverage — Record Quality Audit, String Normalisation & Base-100 Series 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 a Base-100 index series for up to 200 business directory coverage rows (listed_entities, verified_entities) using three independent local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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: (1) a record quality audit flagging completeness and consistency issues across rows, (2) a string normalisation report for company_group and other string fields, and (3) a Base-100 index series for the selected field (listed_entities or verified_entities) anchored at the specified base_index row — all computed locally without any live lookups or external calls.
Example use cases
Monthly directory coverage quality review
“I have 50 rows of business directory data across three company groups for October 2026, each with listed_entities and verified_entities counts — can you run the record quality audit, string normalisation, and Base-100 series on them so I can see where our coverage is inconsistent?”
Comparing verification rates across groups
“I want to index our verified_entities figures to a base-100 starting at the first row and also check for any string or quality issues across these 120 directory records — can you generate all three reports at once?”
Pre-publication data cleanliness check
“Before we publish our business directory snapshot, can you audit the record quality, normalise the company group strings, and produce a Base-100 series for listed_entities across our 80 rows of coverage data to make sure everything looks clean?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and Base-100 indexing — for business directory coverage data in a single low-cost call. It is ideal for offline/batch analysis of up to 200 rows without any need for live lookups, external enrichment, or professional assessment. Prefer it over single-report endpoints when all three report types are needed simultaneously to save cost and round-trips.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, date, listed_entities, verified_entities) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- base_index out of range (0–199) — error returned
- listed_entities or verified_entities out of allowed numeric range — validation error
- Empty rows array — error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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