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Company Record Completeness — Record Quality Audit & String Normalisation
x402
Company Record Completeness — Record Quality Audit & String Normalisation 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).
Audits and normalises up to 200 company record completeness entries (populated_fields vs required_fields), producing two independent analytical reports on record quality and string formatting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + String normalisation: Record quality audit + String normalisation 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 for up to 200 input rows: (1) a record quality audit assessing field population completeness relative to required fields, and (2) a string normalisation report on company group names and other string fields. No external lookups or live data are used — all analysis is performed locally on the supplied data.
Example use cases
CRM data completeness audit
“I've exported 150 company records from our CRM — each has a row ID, company group, date, and counts for populated and required fields. Can you run a record quality audit and string normalisation report on all of them to find gaps and formatting issues?”
Multi-group field population check
“We have two company groups, 'enterprise' and 'smb', with about 80 records each dated across Q3 2025. Can you audit their populated vs required field counts and give me two reports — one on record quality and one on string normalisation?”
Data governance compliance review
“Before our data governance review, I need to validate 200 company records — each tagged with a group name and date, and showing how many fields are populated out of how many are required. Can you run a completeness quality audit and flag any string normalisation issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, offline, batch audit of company record completeness data — specifically when you have structured rows with field population counts and want two simultaneous reports (quality audit + string normalisation) without any external API calls, live lookups, or predictions. Ideal for data governance workflows, CRM exports, and pre-pipeline data validation at low cost ($0.01 for up to 200 rows).
Side effects
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes row rejection
- More than 200 rows submitted exceeds batch limit
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null or out-of-range numeric values for populated_fields or required_fields may produce incomplete analysis
- Malformed JSON input returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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