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Company Record Completeness Analyzer — Quality Audit, String Normalisation & Category Frequencies
x402
Company Record Completeness Analyzer — Quality Audit, 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 three analytical reports (record quality audit, string normalisation, and category frequency analysis) on batches of up to 200 company record completeness rows using local engines — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied company record completeness records (populated_fields, required_fields). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging anomalies and completeness issues, (2) a string normalisation report standardising company group names, and (3) a category frequency table summarising how often each company group appears and field population rates — all computed locally without external lookups.
Example use cases
CRM data quality review
“I've exported our CRM company records with columns for company_group, date, populated_fields, and required_fields — can you audit the record quality, normalize the group name strings, and show me category frequency breakdowns for all 120 rows?”
Onboarding completeness check
“We're onboarding new companies and I need to check how complete their records are. Here are 80 rows with populated_fields and required_fields counts by group and date — please run the quality audit and tell me which groups have the worst completeness rates.”
Monthly data hygiene report
“At the end of every month I want to see a string normalisation pass and category frequency summary for our company record data — I have 150 rows from October with company_group, date, populated_fields, and required_fields. Can you generate all three reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local-engine analysis of company record completeness data in batch (up to 200 rows) and want three reports in a single $0.01 call — ideal for data hygiene pipelines, CRM audits, or periodic completeness monitoring where no live lookups or external enrichment are required.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes row rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- populated_fields or required_fields values outside the numeric range cause schema rejection
- Empty rows array is rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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