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Business Directory Coverage — Date-by-Category Pivot & Keyed Dataset Comparison
x402
Business Directory Coverage — Date-by-Category Pivot & 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 analytical reports on business directory coverage data: a date-by-category pivot table and a keyed dataset comparison, across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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
Returns two analytical reports: (1) a date-by-category pivot table showing the selected metric (listed_entities or verified_entities) broken down by date and company_group, and (2) a keyed dataset comparison highlighting differences between the primary rows dataset and the supplied comparison (other) dataset, all computed locally without any external lookups.
Example use cases
Tracking directory coverage growth over time
“I have 4 months of weekly business directory snapshots across groups A and B, each row has a date, company_group, listed_entities, and verified_entities — can you pivot this by date and category and also compare it against last quarter's dataset to see what changed in listed_entities?”
Auditing verified vs listed entity discrepancies
“Can you take my two directory coverage datasets — a current one and a reference one — and run both a date-by-category pivot and a keyed comparison on verified_entities so I can spot which company groups have diverged?”
Benchmarking regional directory completeness
“I have directory coverage data for three regional company groups across 30 days, with listed_entities and verified_entities per row — please pivot it by date and group, and compare it against our target benchmark dataset using listed_entities.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business directory coverage data (listed and verified entity counts by company group and date) and need both a pivot table view and a side-by-side keyed comparison against a second dataset in a single low-cost call. It is purely local analytical computation with no live data fetching, making it suitable for offline batch analysis of up to 200 rows at $0.01 per call.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) in any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field enum value not recognized (must be listed_entities or verified_entities) — rejected
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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