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Company Record Completeness — Base-100 Series + Two-Measure Correlation
x402
Company Record Completeness — Base-100 Series + 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 2026-10-19).
Computes a Base-100 indexed time series and a two-measure correlation report for company record completeness data (populated_fields vs required_fields) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 analytical reports: (1) a Base-100 rebase series showing how the selected field (populated_fields or required_fields) evolves relative to the chosen base index row, and (2) a two-measure correlation report quantifying the relationship between populated_fields and required_fields across the supplied rows. No external data is fetched; all analysis is performed locally on the submitted dataset.
Example use cases
CRM data quality audit by group
“I have a dataset of company records across two groups — 'enterprise' and 'smb' — tracked weekly from January to March, with populated_fields and required_fields per row. Can you rebase the populated_fields series to 100 starting at row 0 and also show me how correlated populated_fields and required_fields are across those 200 rows?”
Onboarding completeness trend tracking
“We're tracking onboarding form completeness for new company accounts — each row has a date, a company_group like 'region-west', and counts of populated_fields and required_fields. Can you build me a base-100 indexed series starting at the first row and run the two-measure correlation report so I can see if completeness is improving?”
Data migration coverage validation
“After our data migration we have 150 company records with populated_fields and required_fields filled in per record. Can you index the populated_fields values to base 100 from row 0 and correlate them with required_fields to check if coverage and field requirements track together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company record completeness data (populated_fields and required_fields) and need both a normalized time-series trend (base-100 rebase) and a correlation analysis between the two measures in a single call, without requiring any external data lookups or live integrations. Prefer it over generic statistics APIs when you specifically have company-group-segmented completeness records and want two complementary analytical outputs for up to 200 rows at a fixed low cost.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- base_index references a row index beyond the array length — undefined behavior or error
- Null values in populated_fields or required_fields may affect correlation calculation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, company_group, date) cause request rejection
- All populated_fields or required_fields values identical — correlation undefined or zero
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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