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Company Record Completeness – String Normalisation & Numeric Distribution
x402
Company Record Completeness – String Normalisation & Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs string normalisation and numeric distribution analysis on up to 200 company record completeness rows (populated_fields and required_fields), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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
Two independent analytical reports: (1) a string normalisation report covering the company_group and date string fields, and (2) a numeric distribution report covering the selected numeric field (populated_fields or required_fields), covering up to 200 input rows with descriptive statistics and normalised representations.
Example use cases
Monthly completeness audit by company group
“I have 50 company records from October 2026 with their populated_fields and required_fields counts, split across group-a and group-b — can you run string normalisation and a numeric distribution analysis on the populated_fields column and give me two reports?”
Detecting field completeness outliers
“Run a numeric distribution report on these 30 company records to help me spot outliers in required_fields — I have rows from group-alpha, group-beta, and group-gamma dated between 2026-09-01 and 2026-09-30.”
Cross-group completeness comparison
“I want to compare how consistently different company groups are filling out required fields — can you do a string normalisation and numeric distribution analysis on my 80 rows of completeness data, focusing on the required_fields column?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical computation — specifically string normalisation and numeric distribution — on company record completeness data (populated_fields and required_fields) without any live data lookup, external enrichment, or ML prediction. Ideal for batch quality audits of up to 200 records at very low cost ($0.01 USDC for both reports).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range cause rejection
- Empty rows array is not accepted (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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