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Record Routing IQR Outlier Flags + Secondary-Measure Weighted Mean Analytics
x402
Record Routing IQR Outlier Flags + Secondary-Measure Weighted Mean Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes IQR-based outlier flags and secondary-measure weighted mean statistics on accepted_records and rejected_records data for record routing datasets, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied record routing records (accepted_records, rejected_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) IQR outlier flags for each row indicating whether the selected measure (accepted_records or rejected_records) is a statistical outlier based on interquartile range, and (2) a secondary-measure weighted mean summarizing the selected field across the supplied rows. No external lookups or predictions are included.
Example use cases
Data pipeline anomaly audit
“I have daily record routing logs from October 2026 with accepted_records and rejected_records across two dataset groups. Can you flag any IQR outliers and give me the weighted mean for the accepted_records field across all 4 rows?”
Rejected records quality check
“Run IQR outlier flagging and secondary-measure weighted mean on my routing data for the rejected_records field — I've got about 150 rows from multiple dataset groups and want to catch any suspicious spikes in rejections.”
Multi-group routing performance review
“Analyze my record routing stats for groups 'west-region' and 'east-region' from Q3 2026 — I need IQR-based outlier flags plus a weighted mean report on accepted_records so I can spot which days had abnormal throughput.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data (with accepted_records and rejected_records fields) and need both IQR-based outlier flagging and a secondary-measure weighted mean in a single low-cost call. It is ideal for offline/batch statistical quality checks on data pipeline routing logs where no live lookup, prediction, or external action is needed. Prefer this over general-purpose analytics APIs when you want a pre-packaged dual-report (two analyses for one $0.01 USDC call) specifically tailored to record routing acceptance and rejection metrics.
Side effects
- Fewer than 1 row submitted — rejected by minItems constraint
- More than 200 rows submitted — rejected by maxItems constraint
- Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Non-numeric values in accepted_records or rejected_records where numbers are expected — type error
- Payment failure or insufficient USDC balance — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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