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Company Record Completeness — Base-100 Series + Date-by-Category Pivot
x402
Company Record Completeness — 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 2026-10-19).
Generates two analytical reports (Base-100 indexed time series and a date-by-category pivot) from supplied company record completeness data, measuring populated vs. required fields across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied company record completeness records (populated_fields, required_fields). 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 independent analytical reports derived from the supplied rows: (1) a Base-100 indexed time series normalizing the chosen field metric (populated_fields or required_fields) relative to the value at the specified base_index row, and (2) a date-by-category pivot table cross-tabulating the field metric by date and company_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
CRM data quality audit by team
“I have up to 150 rows of company record data from our CRM, each tagged with a company_group, a date, and counts of populated vs required fields — can you run a Base-100 series starting at index 0 and a date-by-category pivot on populated_fields so I can see which groups are improving their data completeness over time?”
Monthly completeness trend comparison
“Here are our company record completeness snapshots for the last three months across four business units — please index them to Base-100 from row 0 and pivot by date and category on required_fields so I can spot which units are falling behind on mandatory data entry.”
Onboarding pipeline field coverage report
“We're tracking how many required fields sales reps fill in during onboarding for companies in group-alpha and group-beta — I've got 80 rows with dates and populated/required field counts, can you build a Base-100 series and a date-by-category pivot on populated_fields starting from the first row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company record completeness data (populated vs. required field counts) and need both a normalized Base-100 trend series and a categorical date pivot in a single low-cost call. It is best suited for offline/batch analytical reporting rather than live data enrichment, prediction, or external data lookups. Ideal for data quality dashboards, CRM audits, and business intelligence pipelines where the raw rows are already available.
Side effects
- Missing required row fields (row_id, date, company_group, populated_fields, required_fields) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (0–199) causes an error
- null values in numeric fields may produce incomplete series results
- Empty rows array (minItems: 1 not met) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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