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Company Record Completeness Analyzer — Audit, Normalisation & Histogram
x402
Company Record Completeness Analyzer — Audit, Normalisation & Histogram 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, equal-width histogram) on up to 200 company record completeness rows, measuring populated vs. required fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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: (1) a record quality audit flagging completeness issues across the supplied rows, (2) a string normalisation report cleaning and standardising text fields such as company_group, and (3) an equal-width histogram bucketing the chosen numeric field (populated_fields or required_fields) into the specified number of bins. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
CRM data gap assessment
“I have 80 company records from our CRM, each tagged with a company group and date, showing how many required fields exist and how many are actually populated. Can you run a record quality audit and tell me where the gaps are, and also give me a 5-bin histogram on populated_fields?”
Multi-group completeness comparison
“We have records across two company groups — group-alpha and group-beta — spanning Q3. Each row has populated_fields and required_fields counts. Can you normalise the strings and do a quality audit so I can compare completeness across both groups?”
Data governance histogram report
“For our data governance review, I need an equal-width histogram with 8 bins on the required_fields column from our 120 company records, plus a quality audit to flag any anomalies in field population rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, self-contained completeness audit on a batch of company records (up to 200 rows) without any external data lookups or predictions. It is ideal for data governance workflows, CRM hygiene checks, or pre-ingestion validation where you want three complementary analytical views — quality audit, normalisation, and histogram — in a single inexpensive call. Prefer alternatives if you need live data enrichment, predictive scoring, or record counts exceeding 200.
Side effects
- More than 200 rows submitted — request rejected
- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- bins value outside 1–30 range — validation error
- field enum value not 'populated_fields' or 'required_fields' — rejection
- Null numeric values in required_fields or populated_fields may affect histogram accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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