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Company Record Completeness — Trailing Mean Series + Keyed Dataset Comparison
x402
Company Record Completeness — Trailing Mean Series + Keyed Dataset Comparison 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).
Computes a trailing mean time series and a keyed dataset comparison for supplied company record completeness data (populated_fields, required_fields) across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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: (1) a trailing mean series showing the rolling average of the selected field (populated_fields or required_fields) over the supplied date-ordered rows, and (2) a keyed dataset comparison that matches rows between the primary and secondary datasets by key and surfaces differences in record completeness metrics. No external lookups or predictions are made; all computation is local.
Example use cases
Tracking record fill rate over time
“I have daily company record completeness logs for groups A and B over the past quarter, each row has a date, company_group, populated_fields, and required_fields. Can you compute the trailing mean of populated_fields across those rows and show me how the average fill rate has moved over time?”
Comparing record quality between two periods
“I want to compare company record completeness between last month and this month. I have two datasets with up to 100 rows each, keyed by company_group and date, with populated_fields and required_fields. Can you run the keyed dataset comparison report to see where completeness improved or declined?”
Auditing required fields completeness by group
“I need to audit how well required_fields are being populated across our company groups. I have a dataset of 80 rows with row_id, date, company_group, populated_fields, and required_fields. Please run a trailing mean series on required_fields so I can spot which groups are falling behind over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing mean time series AND a keyed dataset comparison for company record completeness data in a single paid call. It is well-suited for data quality audits comparing two time periods or cohorts using supplied data only — no live data fetching or external enrichment is involved. Prefer this over single-report endpoints when you need both analytical outputs in one request at a fixed low cost.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, populated_fields, or required_fields) in any row
- Date values not matching YYYY-MM-DD format
- Non-numeric values for populated_fields or required_fields where numbers are expected
- Mismatched keys between primary and comparison dataset resulting in empty comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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