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Feature Availability Analytics — Grouped Numeric Summary + Numeric Row Ordering
x402
Feature Availability Analytics — Grouped Numeric Summary + Numeric Row Ordering 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 two local analytical reports on supplied feature availability records: a grouped numeric summary and a numeric row ordering, across up to 200 rows of populated/expected feature data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 computed locally from the supplied data: (1) a grouped numeric summary aggregating populated_features or expected_features by dataset_group, and (2) a numeric row ordering ranking all rows by the selected numeric field. No external data is fetched or predicted.
Example use cases
Dataset feature completeness audit
“I've got 150 rows of feature availability data across 5 dataset groups with dates and populated/expected feature counts. Can you group them and give me a numeric summary plus a ranked ordering by populated_features so I can see which groups have the most complete data?”
ML pipeline feature coverage report
“Here are my feature availability records from last quarter across three dataset groups. Run a grouped summary and numeric row ordering on the expected_features field so I can identify which rows and groups have the highest expected feature counts.”
Data quality monitoring by group
“I need to analyze these 80 feature availability rows — each has a dataset_group, date, populated_features, and expected_features. Give me both a grouped numeric summary and a row ranking based on populated_features so I can spot which groups are underperforming.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-087?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 feature availability records with populated and expected feature counts and need both a grouped aggregate summary and a numerically ordered ranking in a single call for $0.01 USDC. Ideal for data quality audits, ML feature coverage reviews, and dataset completeness monitoring where no external lookups or predictions are needed.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, dataset_group, date, populated_features, expected_features) — schema validation error
- Invalid field enum value (not 'populated_features' or 'expected_features') — rejected
- Null numeric values may affect aggregation results depending on implementation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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