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Company Record Completeness — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Company Record Completeness — Trailing Mean Series + Secondary-Measure Weighted 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).
Computes a trailing mean time series and a secondary-measure weighted mean for company record completeness data (populated_fields, required_fields) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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 trailing mean time series computed over the specified rolling window for the selected field (populated_fields or required_fields), and (2) a secondary-measure weighted mean across the supplied company record completeness rows. Up to 200 rows are processed per call.
Example use cases
Data quality trend monitoring
“I have weekly company record completeness snapshots for two business units — 'retail' and 'wholesale' — across 12 weeks. Can you run the trailing mean series with a window of 4 and also get the weighted mean for required_fields so I can see which unit's completeness is trending better?”
CRM completeness reporting
“We track how many fields are populated versus required in our CRM for each account group daily. Can you compute the rolling average with a window of 7 for the populated_fields metric across my 50 daily rows and give me a weighted mean report too?”
Data governance audit support
“For our quarterly governance audit I need a trailing mean series (window of 2) and a secondary-measure weighted mean on our record completeness data — I have 30 rows covering three company groups with both populated_fields and required_fields values. Can you run this for the required_fields field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a weighted mean for company record completeness data in a single paid call. It is ideal for offline batch analytics on up to 200 pre-collected rows of populated_fields and required_fields data, where no live data lookup, prediction, or external enrichment is needed. Prefer alternatives if you need real-time data fetching, forecasting, or more than 200 rows per call.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Window size larger than the number of rows — trailing mean may produce nulls or partial results
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — request rejected
- Non-numeric values for populated_fields or required_fields — schema validation error
- Payment of 0.01 USDC not completed — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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