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Company Record Completeness — Trailing Mean Series + Explicit Missing-Value Fill
x402
Company Record Completeness — Trailing Mean Series + Explicit Missing-Value Fill 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).
Computes a trailing mean time series and fills missing values for up to 200 company record completeness data rows, delivering two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 derived from the supplied company record completeness rows: (1) a trailing mean series computed over the specified rolling window for the chosen field, and (2) the same series with missing values explicitly filled using the selected method (zero, mean, or median). No external data is fetched; all analysis is performed on the submitted rows.
Example use cases
Smoothing completeness trends across business units
“I have weekly company record completeness data for three groups — take the populated_fields column, apply a trailing mean with a window of 4, and fill any missing values using mean imputation so I can see a smoothed trend over the past quarter.”
Imputing nulls in required fields audit
“My required_fields completeness audit has some null entries scattered across dates. Can you fill those missing values using median imputation and also give me the trailing mean series with a window of 3 so I can spot which groups are improving?”
Data quality reporting for CRM completeness
“I need two reports on our CRM company record completeness: a trailing mean series and a missing-value fill — use the populated_fields metric, a window of 5, and zero-fill for any gaps. I have about 150 rows across several company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND missing-value imputation on company record completeness data in a single call. It is purpose-built for data quality analysis on populated_fields and required_fields metrics, supports up to 200 rows, and returns two reports for the price of one. Prefer it over generic analytics tools when your data is already structured with company groups and dated completeness counts and you want local, deterministic computation with no external lookups.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Invalid method enum value (not zero/mean/median) — schema validation error
- Window size outside 2–200 range — rejected
- All values null for the selected field — imputation may return all-null or all-zero series depending on method
- Missing required row fields (row_id, date, company_group) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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