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Company Record Completeness Analyzer — Quality Audit, String Normalisation & Numeric Row Ordering
x402
Company Record Completeness Analyzer — Quality Audit, String Normalisation & Numeric Row Ordering 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 company record completeness data (populated_fields vs required_fields) with three reports: record quality audit, string normalisation, and numeric row ordering — up to 200 rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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 completeness issues between populated_fields and required_fields, (2) a string normalisation report for company_group and other string fields, and (3) a numeric row ordering report ranking rows by the selected numeric field (populated_fields or required_fields). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
CRM data completeness audit
“I have a batch of company records from our CRM — each row has a company group, date, and counts of how many fields are populated versus how many are required. Can you run a quality audit and string normalisation on these records and also rank them by populated_fields so I can see which companies have the worst data gaps?”
Monthly data quality review
“We do a monthly data quality check on our company database. Here are 150 rows with company_group, date, populated_fields, and required_fields — can you generate the record quality audit report and order the rows by required_fields so our data team can prioritise cleanup?”
Normalise company group strings before merge
“Before we merge two datasets, I need to normalise the company_group strings in our records and also audit which rows are incomplete based on their populated_fields versus required_fields ratios. Can you run the three reports on these rows so we can clean up before the merge?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, batch analysis of company record completeness data without any external API calls or live data lookups. It is ideal when you have up to 200 rows of structured company records with populated_fields and required_fields counts and want three bundled reports (quality audit, string normalisation, numeric ordering) in a single low-cost ($0.01 USDC) call. Prefer alternatives if you need real-time data enrichment, live CRM integration, or more than 200 rows processed at once.
Side effects
- Submitting more than 200 rows returns an error (maxItems constraint)
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes schema validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Null or out-of-range numeric values for populated_fields or required_fields may cause computation errors
- Empty rows array (minItems:1 violation) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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