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Business Directory Coverage — Exact Row Deduplication + Two-Measure Correlation
x402
Business Directory Coverage — Exact Row Deduplication + Two-Measure Correlation 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).
Deduplicates business directory coverage records and computes two-measure correlation (listed_entities vs verified_entities) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied business directory coverage records (listed_entities, verified_entities). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the input dataset, and (2) a two-measure correlation report quantifying the statistical relationship between listed_entities and verified_entities across the supplied rows. All computation is performed locally with no external data lookups.
Example use cases
Auditing business registry data quality
“I've got 150 rows from our business registry system, each with a row ID, company group, date, and counts of listed vs verified entities — can you deduplicate exact duplicates and run a correlation analysis between the listed and verified entity numbers so I know how closely they track each other?”
Monthly directory coverage QA check
“Here are this month's business directory coverage records across our regional groups — dates from 2026-09-01 to 2026-09-30, up to 80 rows with listed_entities and verified_entities counts. Please deduplicate any exact repeated rows and give me two correlation reports on those two measures.”
Comparing listing verification rates by group
“I want to understand how our listed entity counts relate to verified entity counts across different company groups. I have 60 rows with row IDs, group names, dates, and both entity counts — can you remove any duplicate rows and compute a two-measure correlation between listed and verified?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have business directory coverage data with listed and verified entity counts and need both exact duplicate removal and a statistical correlation between those two measures in a single $0.01 call. Prefer this over generic deduplication tools when your data specifically has the company_group, date, listed_entities, and verified_entities schema. Best suited for small to medium datasets (up to 200 rows) where offline analytical computation is sufficient and no live data enrichment or external validation is needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, listed_entities, verified_entities) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- listed_entities or verified_entities values outside allowed numeric range — validation error
- Empty rows array — minimum 1 item required
- All rows are null for one measure — correlation computation may fail or return undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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