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Company Record Completeness — Base-100 Series & Secondary-Measure Weighted Mean
x402
Company Record Completeness — Base-100 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 Base-100 index series and a secondary-measure weighted mean for up to 200 company record completeness data rows (populated_fields, required_fields), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Base-100 series + Secondary-measure weighted mean: Base-100 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 per call: (1) a Base-100 index series showing how the selected measure (populated_fields or required_fields) evolves relative to the chosen base row, and (2) a secondary-measure weighted mean summarizing the overall central tendency across all supplied rows. Both are computed locally from the supplied data with no external lookups.
Example use cases
CRM data quality audit across segments
“I have weekly company record completeness snapshots for three business units across Q3 — each row has populated_fields and required_fields counts. Can you build a Base-100 index rebased at the first row and compute the weighted mean for populated_fields so I can see which units are improving?”
Benchmarking required-fields coverage over time
“We track required_fields and populated_fields for our company records daily across two groups. Please run the Base-100 series starting from index 0 and get the weighted mean for required_fields across our 150 rows so I can report on data completeness trends.”
Data governance scoring for company records
“I've got 200 rows of company record completeness data — each tagged with a company_group and date — and I need both a rebased Base-100 series and a secondary weighted mean on populated_fields to present to our data governance team. Can you calculate both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need dual analytical outputs — a Base-100 rebased time series AND a weighted mean — for company record completeness data in a single low-cost call. It is ideal for data quality monitoring, CRM audits, and governance reporting workflows where you supply your own completeness metrics (populated vs required fields) and want fast, locally-computed normalization without any external API lookups or ML inference.
Side effects
- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) returns a validation error
- Submitting more than 200 rows exceeds the maximum batch size and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- base_index out of range (≥ number of rows) causes an index error
- Null values in both populated_fields and required_fields simultaneously may produce undefined weighted mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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