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Feature Availability Numeric Interval Filter + IQR Outlier Flags
x402
Feature Availability Numeric Interval Filter + IQR Outlier Flags 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).
Filters feature availability records by a numeric interval and flags IQR-based outliers across populated_features or expected_features, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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 reports: (1) rows matching the specified numeric interval for the chosen field, and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range — both computed locally against the supplied data with no external calls.
Example use cases
Outlier detection in ML pipeline features
“I have daily feature availability logs across two dataset groups — can you filter the populated_features column to values between 5 and 50, and flag any IQR outliers in those 12 rows so I can clean up my training data?”
Expected feature count range audit
“Check my expected_features records for the month of October 2026 — filter to the range 1 through 30 and tell me which of the 20 rows are statistical outliers based on IQR.”
Cross-group feature population anomaly check
“I've got 80 rows of feature availability data across four dataset groups and I need two things: a numeric interval filter on populated_features between -10 and 200, and IQR outlier flags so I can spot which groups are consistently abnormal.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous numeric range filtering and IQR outlier detection on feature availability records (populated_features / expected_features) in a single $0.01 call, without requiring any external lookups or live data connections. Ideal for data quality pipelines checking ML feature store completeness or flagging anomalous population counts across dataset groups.
Side effects
- Missing required fields (row_id, date, populated_features, expected_features) cause validation errors
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Minimum value greater than maximum value may produce empty interval results
- Null values in the selected field may affect IQR computation
- Payment not processed or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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