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Business Directory Coverage Analytics — Base-100 Series & Date-by-Category Pivot
x402
Business Directory Coverage Analytics — Base-100 Series & Date-by-Category Pivot 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 (Base-100 indexed time series and date-by-category pivot) on supplied business directory coverage data tracking listed and verified entities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 computed locally on the supplied rows: (1) a Base-100 indexed time series for the selected field (listed_entities or verified_entities) anchored at the specified base_index row, and (2) a date-by-category pivot table breaking down coverage figures by date and company_group. Up to 200 rows processed per call; no external data fetched.
Example use cases
Benchmarking directory growth across regions
“I've got weekly business directory counts for three regional groups over the last month — can you produce a base-100 indexed series and a pivot by date and group for the listed_entities field, with the baseline at index position 0? Groups are north, south, and east with dates from 2026-09-01 to 2026-09-28.”
Verified entity coverage audit by partner
“We have directory coverage records for five partner company groups tracked daily. Can you pivot the verified_entities counts by date and group, and also give me a base-100 series starting from row 0 so I can see relative growth? I'll supply up to 200 rows of data.”
Comparing listing completeness before and after a data campaign
“We ran a data enrichment campaign and I want to compare our business directory coverage before and after. Can you index the listed_entities as a base-100 series anchored to row 0 and show a date-by-category pivot for our two company groups — 'legacy' and 'new-intake' — across the 30-day period?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business directory coverage data (listed and verified entity counts) already in hand and need two standardized analytical views — a Base-100 indexed trend series and a date-by-category pivot — without any external data lookups. It is ideal for offline, batch analytical reporting on up to 200 rows at a very low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you want a pre-structured, deterministic output for directory coverage specifically.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range for provided rows causes indexing error
- All null values in selected field may produce empty or degenerate output
- Malformed numeric values for listed_entities or verified_entities rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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