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Company Record Completeness — Base-100 Series + Missing-Value Fill
x402
Company Record Completeness — Base-100 Series + Missing-Value Fill 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 a Base-100 indexed time series and fills missing values for company record completeness data (populated_fields, required_fields) across up to 200 rows, using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 indexed time series for the selected field (populated_fields or required_fields), anchored at the specified base_index row, and (2) an explicit missing-value filled version of the same dataset using the chosen method (zero, mean, or median). Both reports are derived locally from the supplied rows without any external data lookup.
Example use cases
CRM data quality trend analysis
“I have 50 rows of monthly company record completeness data across three business units from 2025. Can you index the populated_fields column to base-100 starting at row 0 and fill any nulls using the mean, so I can compare how each group's data quality has evolved over time?”
Missing field imputation for data pipeline
“Our company database export has gaps in required_fields and populated_fields for about 200 company records dated between 2024-01-01 and 2024-12-31. Please fill the missing values using median imputation and give me the cleaned dataset back.”
Quarterly completeness benchmarking across company groups
“Here are 80 rows of company record completeness metrics broken into group-a and group-b for Q3 2025. Index the required_fields to base-100 from row 0 and use zero-fill for any missing values — I want a normalized completeness benchmark I can put in my quarterly report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company record completeness data (populated_fields, required_fields) and need both a normalized Base-100 time series and explicit missing-value imputation in a single call, without any need for live data lookup or external enrichment. It is ideal for offline data quality analysis, CRM audits, and pipeline preprocessing where up to 200 rows need to be standardized and cleaned locally at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row or more than 200 rows submitted — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (0–199) — parameter error
- Both populated_fields and required_fields are null across all rows — computation may return empty or degenerate series
- row_id missing or empty — required field validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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