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Pipeline Durations — Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags
x402
Pipeline Durations — Record Quality Audit + Exact Row Deduplication + 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).
Runs three local analytical reports on pipeline duration records: a record quality audit, exact row deduplication, and IQR-based outlier flagging for run_seconds or processed_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit identifying incomplete or malformed records, (2) an exact row deduplication report listing duplicate entries, and (3) IQR outlier flags marking statistically extreme values in the chosen numeric field (run_seconds or processed_rows). All computed locally with no external lookups.
Example use cases
Pre-analysis pipeline data cleanup
“Before I run my analysis, can you check my 80 pipeline run records for quality problems, exact duplicate rows, and any IQR outliers in the run_seconds field? The rows have row_id, dataset_group, date, run_seconds, and processed_rows.”
ETL job duration anomaly detection
“I have 150 ETL job duration logs and I want to find outliers in processed_rows using IQR, plus get a full quality audit and deduplication report — can you run all three checks on them?”
Data pipeline monitoring audit
“My monitoring pipeline exported 120 rows of run duration data. Can you audit them for data quality issues, flag any exact duplicate records, and identify IQR-based outliers in run_seconds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality checks (quality audit, deduplication, and IQR outlier detection) on pipeline duration data in a single paid call. It is ideal for small-to-medium datasets (up to 200 rows) where no external lookup or prediction is needed — only local statistical analysis on supplied records.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Null or out-of-range numeric values may be excluded from IQR computation
- Empty input array rejected (minItems: 1)
- Payment of 0.01 USDC not provided — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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