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Record Routing IQR Outlier Flags + Two-Measure Correlation
x402
Record Routing IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and two-measure correlation analysis on up to 200 record routing rows (accepted_records, rejected_records), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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
Two analytical reports: (1) IQR outlier flags for each row indicating whether accepted_records or rejected_records values fall outside the interquartile range, and (2) a correlation analysis between the two measures across all supplied rows. No external lookups or predictions are made — all analysis runs on the submitted data only.
Example use cases
ETL pipeline data quality audit
“I have daily record routing stats for our ETL pipeline — 90 rows with accepted_records and rejected_records per day from January through March. Can you flag any IQR outliers and tell me how correlated the accepted and rejected counts are?”
Spotting rejection spikes in ingestion batches
“Here are 50 rows of ingestion batch results grouped by dataset_group. Can you run IQR outlier detection on rejected_records and also check the correlation between accepted_records and rejected_records so I can see if high acceptance days tend to have high rejections too?”
Weekly data routing review for two teams
“I've got record routing data for two teams — group-a and group-b — over the last 20 weeks. Flag any accepted_records outliers by IQR and give me the two-measure correlation report between accepted and rejected counts for both groups combined.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and two-measure correlation in a single low-cost call on record routing data (accepted vs. rejected records), with up to 200 rows and no need for external data enrichment, predictions, or professional assessment. Ideal for data engineers auditing pipeline quality or analysts doing quick statistical QA on routing metrics.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — rejected
- Insufficient data variance for meaningful correlation (e.g. all identical values) — may return degenerate correlation result
- null values in accepted_records or rejected_records may reduce effective sample size for IQR calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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