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Feature Availability Analytics — Numeric Distribution & Interval Filter
x402
Feature Availability Analytics — Numeric Distribution & Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Computes a numeric distribution and numeric interval filter report for up to 200 feature availability records (populated_features, expected_features), returning 2 analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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
Two analytical reports: (1) a numeric distribution summarizing how values of the selected field (populated_features or expected_features) are spread across the supplied rows, and (2) an interval filter report identifying which of the up to 200 rows fall within the specified minimum–maximum numeric range.
Example use cases
Dataset feature coverage audit
“I have 150 daily records tracking how many features are populated vs expected across two dataset groups. Can you run a numeric distribution on populated_features and filter to rows where the value falls between 10 and 100, so I can see which dates and groups have good coverage?”
ML pipeline completeness check
“Before training, I want to understand the spread of expected_features across my pipeline rows — can you generate a distribution report and also show me only the records where expected_features is between 0 and 500? I'll send you the batch of up to 200 rows.”
Feature gap interval analysis
“I've got a CSV of 80 records with populated_features and expected_features per date and group. Run the numeric distribution and interval filter with a minimum of 0 and maximum of 200 on the expected_features field so I can find which records are within an acceptable range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-074?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-loaded feature availability records and need both a distribution breakdown and an interval-filtered subset in a single paid call. It is ideal for lightweight, local analytical computation on feature completeness data without needing an external BI tool, database query engine, or live data connection. At $0.01 USDC for two reports, it is cost-effective for small-to-medium batch analytics on ML pipeline or data quality metrics.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format in any row (must be YYYY-MM-DD) — schema validation failure
- minimum value greater than maximum value — may return empty interval filter results
- Null values in populated_features or expected_features may be excluded from distribution calculations
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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