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Business Directory Coverage — Adjacent Row Changes & Keyed Dataset Comparison
x402
Business Directory Coverage — Adjacent Row Changes & Keyed Dataset Comparison 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 two local analytical reports on business directory coverage data: adjacent row change detection and keyed dataset comparison for listed_entities and verified_entities fields, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison 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
Two analytical reports delivered together: (1) an adjacent row changes report showing differences between consecutive rows for the selected field, and (2) a keyed dataset comparison report matching rows by key across the two supplied datasets and reporting differences in listed_entities or verified_entities values. All computation is local with no external lookups.
Example use cases
Monthly directory coverage audit
“I have two months of business directory coverage data for our company groups — can you run an adjacent row changes report and a keyed comparison on listed_entities to see what shifted between October and November?”
Verify entity count discrepancies
“We suspect some verified_entities counts changed unexpectedly between two data exports for our business directory — can you compare them row by row and show me which company groups have the biggest differences?”
QA check before publishing directory update
“Before we push our updated business directory, can you run both an adjacent changes report and a dataset diff on listed_entities for these 80 rows across group-a and group-b, using our current and proposed datasets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline, deterministic analysis of business directory coverage records — specifically adjacent-period change detection and cross-dataset key-based diffing on listed_entities or verified_entities. Prefer it over live lookup or ML-based tools when you have your own data and need reproducible, low-cost ($0.01 USDC for both reports) analytical output with no external dependencies.
Side effects
- Missing required fields (row_id, date, company_group, listed_entities, verified_entities) causes validation failure
- Exceeding 200 rows in either dataset triggers a limit error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may produce null-delta entries in output
- Mismatched row_ids between datasets result in unmatched-key entries rather than comparisons
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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