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Company Record Completeness — Numeric Interval Filter + Trailing Mean Series
x402
Company Record Completeness — Numeric Interval Filter + Trailing Mean Series 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).
Filters company record completeness data (populated_fields, required_fields) by a numeric interval and computes a trailing mean series, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 rows: (1) records filtered to the specified numeric interval on the chosen field, and (2) a trailing mean series computed over the specified window size — all processed locally with no external lookup or prediction.
Example use cases
Data quality audit for CRM records
“I have 120 rows of CRM completeness data with populated_fields and required_fields across different company groups from January to June 2026. Can you filter to only rows where populated_fields is between 5 and 50, and show me the trailing mean over a window of 4 so I can spot trends?”
Identifying underperforming company groups
“Run a numeric interval filter on my required_fields column — keep only values between 10 and 200 — and give me a trailing mean series with window size 5 for my company record completeness dataset. It has 80 rows across three groups.”
Monthly completeness trend analysis
“I want to see the rolling average of populated_fields across my 60 company records from Q3 2025 — filter to values between 0 and 75 and use a trailing window of 2. The records have company_group labels like 'enterprise' and 'smb'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two pre-packaged analytical operations — interval filtering and trailing mean series — applied to company record completeness data (populated_fields / required_fields) in a single low-cost call. It is ideal for batch analysis of up to 200 rows of structured completeness data without needing to spin up custom analytics code or external data pipelines. Prefer it over generic statistics APIs when your data is already shaped around company groups and date-stamped completeness fields.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (non-YYYY-MM-DD) in any row — schema validation error
- Window size outside 2–200 range — validation error
- Minimum value greater than maximum — may produce empty filtered result set
- Null values in the selected numeric field may affect mean computation accuracy
- Missing required row fields (row_id, date, company_group) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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