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Company Record Completeness — Duplicate Key Report + IQR Outlier Flags
x402
Company Record Completeness — Duplicate Key Report + 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).
Analyzes up to 200 company record completeness rows to produce a duplicate key report and IQR-based outlier flags for populated_fields or required_fields values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Duplicate key report + IQR outlier flags: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated key combinations, and (2) an IQR outlier flag report marking rows whose selected numeric field (populated_fields or required_fields) falls outside the interquartile range bounds. Both reports cover the supplied data only — no external lookups or predictions are made.
Example use cases
CRM data quality audit
“I have 150 company records from our CRM with row IDs, company groups, dates, and counts of populated vs required fields. Can you run a duplicate key check and flag any IQR outliers in the populated_fields column so I know which records look suspicious?”
Completeness regression after ETL pipeline
“After our ETL ran last night, I have a batch of company completeness rows I want to validate. Can you check for duplicate row keys and flag statistical outliers in the required_fields values using IQR?”
Multi-group completeness comparison
“We have company completeness data split across group-a and group-b for October — about 80 rows total with populated_fields and required_fields counts. Can you identify any duplicate keys and highlight which rows are IQR outliers in populated_fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 company record completeness rows and need both a duplicate key report and IQR outlier detection in a single call. It is ideal for lightweight data quality audits on supplied data without needing external lookups, live data connections, or ML-based predictions. Prefer this over generic statistical tools when you specifically need IQR-based outlier flagging combined with deduplication for company-scoped completeness metrics.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the limit and is rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes schema validation failure
- Invalid date format (not YYYY-MM-DD) causes a parsing error
- All-null numeric values may produce empty or degenerate IQR output
- Payment of 0.01 USDC not included or rejected causes request to fail
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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