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Company Record Completeness — Record Quality Audit + Missing-Value Fill
x402
Company Record Completeness — Record Quality Audit + 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).
Audits up to 200 company record completeness rows for quality issues and fills missing populated_fields or required_fields values using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + Explicit missing-value fill: Record quality audit + 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 independent reports: (1) a record quality audit identifying anomalies, nulls, and data issues across the submitted rows, and (2) an explicit missing-value fill report showing imputed values for the chosen field (populated_fields or required_fields) using the selected method (zero, mean, or median). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
CRM data completeness audit
“I have a batch of up to 150 company records from our CRM export with populated_fields and required_fields counts per group — can you audit them for quality issues and flag any problems? The records span from 2026-01-01 to 2026-03-31 across group-alpha and group-beta.”
Missing field imputation for analytics
“Some of my company completeness rows for group-west and group-east are missing required_fields values — can you fill those gaps using mean imputation so I can run my monthly completeness report? I have about 80 rows dated between 2026-09-01 and 2026-09-30.”
Data governance review for multiple company groups
“Before I load this dataset into our data warehouse, can you audit the record quality and fill any null populated_fields entries with zero for all 200 rows covering company groups north, south, and central, dated 2026-Q1?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a local batch of up to 200 company record completeness rows and need both a quality audit and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for data governance workflows, pre-load validation, and analytics prep where no live external data lookup is needed and the analysis can be performed entirely on the supplied data.
Side effects
- Rows array is empty or exceeds 200 items — returns validation error
- row_id missing or blank — schema validation failure
- date field does not match YYYY-MM-DD pattern — rejected with pattern error
- populated_fields or required_fields outside allowed numeric range — validation error
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value — rejected
- All values present with no nulls — imputation report notes nothing to fill
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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