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Company Record Completeness — Record Quality Audit + IQR Outlier Flags
x402
Company Record Completeness — Record Quality Audit + IQR Outlier Flags 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 up to 200 company record completeness rows (populated_fields, required_fields) and produces two analytical reports: a record quality audit and IQR-based outlier flags.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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 record quality audit summarizing completeness metrics across the supplied company records, and (2) IQR-based outlier flags identifying rows whose populated_fields or required_fields values fall outside interquartile range thresholds. No external lookups or live data are involved — analysis is performed entirely on the submitted data.
Example use cases
CRM data quality review
“I have 80 company records from our CRM — each has a row ID, company group, date, and counts of how many fields are populated versus how many are required. Can you run a quality audit and flag any IQR outliers on the populated_fields column?”
Monthly completeness anomaly detection
“We're doing our end-of-month data hygiene check. Here are 150 company records with their populated_fields and required_fields counts by group and date — run the record quality audit and IQR outlier flagging so we can spot which entries are abnormal.”
Comparing completeness across company groups
“I want to compare data completeness across our 'group-a' and 'group-b' companies over the last quarter. I have 200 rows with row IDs, dates, and populated vs required field counts — can you produce the quality audit report and outlier flags for required_fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of company records (up to 200 rows) with field population counts and need both a structured quality audit and IQR-based statistical outlier detection in a single call. It is ideal for data hygiene workflows, CRM audits, or periodic completeness monitoring where no external data enrichment or live lookup is needed — just analytical computation on your own supplied data.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Non-numeric values in populated_fields or required_fields — type error
- Invalid field enum value (not 'populated_fields' or 'required_fields') — rejected
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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