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Feature Availability — Numeric Interval Filter + Equal-Width Histogram
x402
Feature Availability — Numeric Interval Filter + Equal-Width Histogram 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).
Runs two local analytical reports on feature availability data: a numeric interval filter and an equal-width histogram, for up to 200 rows at $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 independent analytical reports: (1) a numeric interval filter result listing rows whose chosen field (populated_features or expected_features) falls within the specified [minimum, maximum] range, and (2) an equal-width histogram breaking the field's value range into the requested number of bins with counts per bin. All computation is done locally with no external lookups.
Example use cases
ML feature completeness distribution audit
“I've got 80 rows of feature availability data across two dataset groups, each with a date, populated_features, and expected_features count. Can you bucket populated_features into 8 equal-width histogram bins and also filter to rows where populated_features falls between 5 and 50?”
Data pipeline coverage spot-check
“Run a numeric interval filter on my expected_features column keeping only values between 10 and 200, and give me a 5-bin histogram of the distribution — I have 120 rows with row_id, dataset_group, date, expected_features, and populated_features.”
Feature store group comparison
“I have daily feature availability records for two groups over the past quarter — about 90 rows total. Filter the populated_features field to the range 0 to 75 and show me an equal-width histogram with 6 bins so I can see how evenly the values are distributed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-129?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two fast, local analytical reports — a range filter and a histogram — on feature availability metrics (populated vs. expected features) for up to 200 rows, without needing live data lookup, prediction, or external enrichment. It is ideal for data quality monitoring pipelines, ML feature store audits, and dataset completeness checks where a combined interval filter and distribution view is needed in a single $0.01 call.
Side effects
- rows array empty or missing — endpoint requires at least 1 row
- more than 200 rows submitted — exceeds maxItems limit
- bins value outside 1–30 range — returns validation error
- minimum greater than maximum — produces empty interval filter result
- null values in populated_features or expected_features — may be excluded from numeric computations
- invalid date format not matching YYYY-MM-DD — schema validation failure
- payment not included or insufficient — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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