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Company Record Completeness — Trailing Mean Series + Date by Category Pivot
x402
Company Record Completeness — Trailing Mean Series + Date by Category Pivot 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).
Generates two analytical reports — a trailing moving average series and a date-by-category pivot table — from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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
Two analytical reports computed from the supplied rows: (1) a trailing moving average series for the chosen field (populated_fields or required_fields) computed with the specified window size, and (2) a date-by-category pivot table grouping completeness values by date and company_group. Both reports are returned together from shared local analytical engines with no external data lookups.
Example use cases
CRM data quality trend monitoring
“I've got 150 rows of company record completeness data with populated_fields and required_fields tagged by company group and date — can you compute a trailing mean series with a window of 5 and also pivot it by date and category so I can see which groups are improving?”
Quarterly completeness audit by segment
“Run a trailing average (window of 4) for required_fields completeness and a date-by-category pivot on my company data — I need to compare how different company groups performed week by week across Q3.”
Data governance dashboard feed
“I need to feed our data governance dashboard — can you take these 80 company completeness records and produce a trailing mean series plus a date-category pivot for populated_fields with a window of 2?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing moving average time series AND a date-by-category pivot from the same batch of company record completeness data in a single low-cost call. Ideal for data quality monitoring workflows where you want to analyze populated or required field trends across company groups without any external API calls, live lookups, or professional assessments. Prefer this over single-report siblings when you need two complementary views — trend smoothing plus categorical breakdown — for the same dataset.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row
- Window size outside 2–200 range — rejected by schema validation
- Invalid field enum value — must be 'populated_fields' or 'required_fields'
- Payment not processed — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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