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Company Record Completeness Analyzer — Quality Audit, Deduplication & Trailing Mean
x402
Company Record Completeness Analyzer — Quality Audit, Deduplication & Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs three local analytical reports on company record completeness data: a record quality audit, exact row deduplication, and a trailing mean time series, for up to 200 rows of populated_fields/required_fields data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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
Three independent analytical reports returned together: (1) a record quality audit summarizing completeness metrics across supplied rows, (2) an exact row deduplication report flagging identical records, and (3) a trailing mean time series computed over the specified window for the selected field (populated_fields or required_fields), all derived from the supplied data with no external lookups.
Example use cases
CRM data quality audit before migration
“I'm about to migrate our CRM data and need a quality audit plus dedup check on these company completeness records — here are 50 rows with row_id, company_group, date, populated_fields, and required_fields. Run all three reports with a window of 5 on populated_fields so I can see which records are duplicates and how completeness has been trending.”
Monthly completeness trend review by group
“Can you compute the trailing mean series with a window of 4 for required_fields across these company group records for the past quarter? I want to see the rolling average trend per group and flag any duplicate entries in our dataset.”
Data governance audit for record hygiene
“Our data governance team needs a full record quality audit and exact deduplication report for these 120 company completeness rows — each has a row_id, company_group, date, populated_fields, and required_fields. Use a trailing window of 6 on populated_fields and give us all three reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have company record completeness data (populated vs required fields) and need all three of: a data quality audit, exact duplicate detection, and a rolling mean trend — bundled in a single $0.01 call for up to 200 rows. It is purely local/analytical with no external data fetching, making it ideal for offline data governance workflows, pre-migration checks, or batch completeness audits where privacy and determinism matter.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) cause validation errors
- Invalid date format (non YYYY-MM-DD) triggers schema rejection
- Window value outside 2–200 range causes parameter error
- Null numeric values for populated_fields or required_fields may affect trailing mean calculation
- Malformed JSON input returns 4xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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