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Business Directory Coverage — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report
x402
Business Directory Coverage — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report 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 on business directory coverage data: a record quality audit, exact row deduplication, and a duplicate key report — all on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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 reports: (1) a record quality audit flagging completeness and validity issues across the supplied rows, (2) an exact row deduplication report identifying identical records, and (3) a duplicate key report listing repeated row_id or key combinations — all computed locally from the supplied data with no external lookups.
Example use cases
Pre-publication directory data cleanup
“Before we publish our business directory update, can you audit these 50 rows of coverage data for quality issues, find any exact duplicate rows, and flag any duplicate row IDs? The data has company groups, dates, listed_entities, and verified_entities columns.”
Monthly data pipeline deduplication check
“We just pulled our monthly business directory coverage snapshot — 150 rows with row IDs, company groups, dates, and listed and verified entity counts. Can you run deduplication and a duplicate key report so we catch any repeated records before they hit the database?”
Data quality investigation for anomalous directory metrics
“Our directory coverage numbers look off this quarter. Can you do a full record quality audit on these 80 rows of listed_entities and verified_entities data grouped by company and date, and also check if there are any duplicate keys causing the issue?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical passes — quality audit, exact deduplication, and duplicate key detection — in a single low-cost call on a batch of up to 200 business directory coverage rows. It is ideal for pre-ingestion data validation pipelines where you want local analytical results without any external lookups or live data enrichment.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Rows missing required fields (row_id, company_group, date, listed_entities, verified_entities) fail schema validation
- Dates not matching YYYY-MM-DD pattern are rejected
- numeric fields outside the allowed range cause schema errors
- Malformed JSON input returns a parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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