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Data Collection Completeness — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Data Collection 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 2026-11-02).
Filters data collection completeness records by a numeric interval on one field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data collection completeness — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied data collection completeness records (observed_values, expected_values). 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 covering: (1) the subset of input rows whose selected field falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed across those filtered records, all derived locally from the supplied data without external lookups.
Example use cases
Course completion gap analysis
“I have completeness records for two course groups across October 2026 — filter the observed_values between 5 and 30, then give me a secondary-measure weighted mean using expected_values across all 4 rows for group-a and group-b.”
Education data quality audit
“Can you run a numeric interval filter on my 80 education completeness rows, keeping only records where expected_values fall between 1 and 500, and return a weighted mean report weighted by observed_values?”
Completeness threshold monitoring for curriculum
“I've got completeness data for our curriculum tracking system — 120 rows with observed and expected values per course group. Filter out anything outside the 10 to 200 range on observed_values and give me a weighted mean summary using expected_values as the weight.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-22-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 education or data collection completeness records and need both interval-based numeric filtering and a weighted mean statistic in a single low-cost call ($0.01 USDC for 2 reports). Prefer this over general-purpose analytics tools when working specifically with observed/expected value completeness pairs organized by course group and date.
Side effects
- Missing required fields (row_id, observed_values, expected_values) causes validation error
- More than 200 rows submitted exceeds the maximum row limit
- Invalid date format (non YYYY-MM-DD) triggers pattern validation failure
- Null values in the weight/measure field may affect weighted mean calculation
- minimum greater than maximum produces an empty filtered result set
- Payment failure via x402 protocol prevents endpoint execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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