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Schema Conformity Equal-Width Histogram and IQR Outlier Flags
x402
Schema Conformity Equal-Width Histogram and 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 2026-10-18).
Generates an equal-width histogram and IQR-based outlier flags for schema conformity metrics (valid_records, checked_records) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags for supplied schema conformity records (valid_records, checked_records). 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: (1) an equal-width histogram showing bin boundaries and frequencies for the selected field (valid_records or checked_records), and (2) an IQR outlier flag report identifying which rows fall outside the interquartile range fences — all computed locally from the supplied data with no external lookups.
Example use cases
Data quality pipeline anomaly detection
“I'm monitoring schema conformity across my data pipelines and want to flag which dataset groups have outlier valid_record counts using IQR — can you analyze my 80 rows with 8 histogram bins on the valid_records field?”
Checked records distribution audit
“Run a histogram with 5 bins and IQR outlier detection on the checked_records field for my 120 conformity log entries — I need to see where most values cluster and which rows are flagged as outliers.”
Cross-group conformity comparison
“I have schema conformity data for three dataset groups over the past quarter, about 150 rows — can you generate a 15-bin equal-width histogram and IQR outlier flags on valid_records so I can spot which groups behave unusually?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data (valid_records and checked_records) and need both a histogram distribution view and IQR-based outlier identification in a single low-cost call. It is ideal for data quality monitoring workflows where you supply your own data and need fast, local statistical analysis without external lookups or predictions.
Side effects
- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows supplied — maxItems violation returns validation error
- Invalid date format (not YYYY-MM-DD) causes row-level schema rejection
- bins value outside 1–30 range returns validation error
- All values are null for selected field — insufficient data for IQR computation
- Missing required fields (row_id, valid_records, checked_records) cause row rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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