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Company Record Completeness — Record Quality Audit + Trailing Mean Series
x402
Company Record Completeness — Record Quality Audit + 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 2026-10-15).
Runs a record quality audit and trailing mean series analysis on up to 200 company record completeness data points (populated_fields, required_fields), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + Trailing mean series: Record quality audit + 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 independent analytical reports: (1) a record quality audit summarizing the completeness and integrity of the supplied company records across populated_fields and required_fields, and (2) a trailing mean series computed over the specified window size for the chosen field (populated_fields or required_fields), grouped by date and company group. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
CRM data quality health check
“I have 150 rows of company record data with populated_fields and required_fields counts by date and group — can you run the record quality audit and trailing mean series (window 5) on populated_fields so I can see where our CRM completeness is weakest?”
Monthly completeness trend review
“Run a quality audit and trailing mean analysis with a window of 4 on these company completeness records for group-a — I want to see the completeness trend over the past quarter by required_fields.”
Data governance audit report
“I need two reports on our company record completeness: a quality audit and a trailing mean series with window size 7 using populated_fields — here are 80 rows covering multiple company groups and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company record completeness data (populated_fields and required_fields) and need both a record quality audit and a trailing mean series in a single paid call. It is ideal for batch analytical use cases where you want self-contained, local computation with no external data dependencies. Prefer this over manual spreadsheet analysis or building custom scripts when you need fast, structured dual-report output on completeness metrics.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside 2–200 range — parameter validation error
- Non-numeric values in populated_fields or required_fields — type error
- Payment of 0.01 USDC not included or declined — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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