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Business Directory Coverage Analyzer — Quality Audit, Deduplication & Base-100 Series
x402
Business Directory Coverage Analyzer — Quality Audit, Deduplication & 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).
Runs three analytical reports on business directory coverage data: record quality audit, exact row deduplication, and base-100 index series for listed_entities or verified_entities fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + 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
Returns three reports in a single response: (1) a record quality audit flagging malformed, null, or out-of-range values in listed_entities and verified_entities; (2) an exact row deduplication report identifying fully duplicate rows by all key fields; and (3) a base-100 index series for the selected field (listed_entities or verified_entities) anchored to the specified base_index row. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Monthly directory coverage quality check
“I have 120 rows of monthly business directory data with listed_entities and verified_entities counts across several company groups — can you audit the record quality, find any exact duplicates, and build a base-100 series on listed_entities starting from the first row?”
Deduplicating merged company group records
“We just merged two company group datasets and I suspect there are duplicate rows — run exact row deduplication plus a quality audit on these 80 directory coverage records so I can see what needs cleaning.”
Indexing verified entity growth over time
“Take these 60 rows of business directory coverage data and generate a base-100 index series on verified_entities starting from index 0, along with a quality audit so I know if any rows have issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 business directory coverage records with listed_entities and verified_entities columns and need three analytical reports in one call at minimal cost ($0.01 USDC): a quality audit, exact duplicate detection, and a base-100 normalization series. It is ideal for offline/batch data validation workflows where no live external lookups or predictions are needed. Prefer alternatives if you need fuzzy deduplication, ML-based quality scoring, or real-time directory verification.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Date field not in YYYY-MM-DD format — schema validation error
- row_id missing or empty string — rejected by minLength constraint
- base_index out of range 0–199 — validation error
- listed_entities or verified_entities outside ±1,000,000,000,000 range — rejected
- Invalid field enum value other than listed_entities or verified_entities — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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