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Feature Availability Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Feature Availability Analytics — Numeric Row Ordering + 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 2026-10-24).
Computes numeric row ordering and secondary-measure weighted mean across up to 200 feature availability records (populated_features, expected_features) in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied feature availability records (populated_features, expected_features). 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 for the supplied rows: (1) a numeric row ordering (ranking of rows by the chosen field) and (2) a secondary-measure weighted mean computed across those rows. Both reports are generated locally from the supplied data with no external lookups or live data access.
Example use cases
Data completeness ranking for ML pipeline
“I need to rank my ML pipeline's feature availability records by populated_features and get the weighted mean — here are 5 rows across two dataset groups from last week, each with how many features were populated versus expected.”
Dataset group completeness audit
“Can you numerically order these 10 feature availability records from our data warehouse audit (groups alpha and beta, dates from 2026-09-01 to 2026-09-10) by expected_features and give me the weighted mean of that field?”
Daily feature monitoring report
“Every day I collect populated_features and expected_features for my datasets — rank today's 8 rows numerically and compute the weighted mean of populated_features so I can see which groups are underperforming.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ranking and a weighted mean computed together for feature availability data in a single low-cost call ($0.01 USDC for 2 reports). Ideal for data quality monitoring, ML pipeline completeness audits, and dataset group comparisons where you already have the populated_features and expected_features values and need local, deterministic statistical summaries without any external data lookups.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, populated_features, expected_features) — 400 error
- populated_features or expected_features values outside allowed numeric range — validation error
- Invalid field enum value (must be 'populated_features' or 'expected_features') — rejection
- Payment not included or insufficient USDC amount — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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