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Company Record Completeness — String Normalisation + Category Frequencies
x402
Company Record Completeness — String Normalisation + Category Frequencies 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 two local analytical reports (string normalisation and category frequency analysis) on up to 200 company record completeness rows, returning insights on populated vs required field ratios grouped by company category.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — String normalisation + Category frequencies: String normalisation + Category frequencies 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 for the submitted rows: (1) a string normalisation report standardising text fields across the dataset, and (2) a category frequency report showing how often each company_group appears and summarising populated vs required field counts per group — all computed locally with no external lookups.
Example use cases
CRM data quality audit by segment
“I have a list of 50 company records from our CRM, each tagged with a company_group, a date, and counts of how many fields are populated vs required. Can you normalise the strings and give me a frequency breakdown by group so I can see which segments have the worst data completeness?”
Monthly completeness trend check
“Here are 120 rows of company record completeness data from October, each with a row_id, company_group, date, populated_fields count, and required_fields count — can you run the string normalisation and category frequency reports on them so I can spot any groups falling behind?”
Pre-migration field coverage summary
“Before we migrate our company records to the new system, I need to know how complete each group's data is. I've got up to 200 rows with populated and required field counts — can you do the string normalisation and category frequency analysis and tell me which company groups look most problematic?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and category frequency analysis on company record completeness data (populated vs required field counts) without any external lookup, prediction, or live data enrichment. Ideal for data quality audits, CRM hygiene checks, and pre-migration completeness assessments on batches up to 200 rows at very low cost.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Date field not matching YYYY-MM-DD pattern — schema rejection
- populated_fields or required_fields outside allowed numeric range — validation error
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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