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Company Record Completeness — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Company Record Completeness — Numeric Interval Filter + 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 2026-10-15).
Filters company record completeness rows by a numeric interval on one field and computes a weighted mean of a secondary measure, producing two analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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 analytical reports based on the supplied rows: one covering the subset of rows where the chosen field falls within the specified numeric interval, and one computing a weighted mean of the secondary measure across those filtered rows. Up to 200 input rows are processed using local analytical engines with no external data lookup.
Example use cases
Data quality audit for CRM records
“I've got a batch of CRM company records with populated_fields and required_fields counts. Filter to rows where populated_fields is between 10 and 100, then compute the weighted mean of required_fields across those filtered records. Here are my rows: row-1, group-a, 2026-01-15, populated_fields=15, required_fields=5; row-2, group-b, 2026-01-16, populated_fields=80, required_fields=12; row-3, group-a, 2026-01-17, populated_fields=200, required_fields=8.”
Completeness threshold check by company group
“Can you take these company completeness records, filter to only those where required_fields falls between 3 and 20, and then give me the weighted mean of populated_fields for that filtered set? I have rows for group-a and group-b across dates in October 2026.”
Interval-based completeness benchmarking
“I want to benchmark record completeness: filter my company rows to those where populated_fields is between 0 and 30, then calculate the secondary-measure weighted mean of required_fields. I have 50 rows across multiple company groups and dates in 2026 — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 company record completeness rows (with populated_fields and required_fields) and need to both filter them to a numeric interval on one field and compute a weighted mean of the other field — delivered as two reports in a single call. Prefer this over generic analytics tools when you want a self-contained, no-external-lookup computation on supplied data at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (must be YYYY-MM-DD)
- row_id missing or empty — required field
- field value not one of 'populated_fields' or 'required_fields'
- minimum exceeds maximum — invalid interval bounds
- populated_fields or required_fields values outside allowed numeric range
- Payment not included or insufficient — x402 protocol requires 0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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