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Duplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flags
x402
Duplicate Observations Analytics — 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 2026-10-20).
Analyzes up to 200 rows of duplicate-observation records and returns three reports: a record quality audit, exact row deduplication summary, and IQR-based outlier flags for duplicate_rows or total_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied duplicate observations records (duplicate_rows, total_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
Returns three independent analytical reports for the submitted rows: (1) a record quality audit summarizing data completeness and field-level issues, (2) an exact row deduplication report identifying identical records, and (3) IQR-based outlier flags for the selected numeric field (duplicate_rows or total_rows), all computed locally without external lookups.
Example use cases
ETL pipeline data quality check
“I just finished an ETL run and have a table of up to 150 records tracking duplicate_rows and total_rows per dataset_group by date — can you audit them for record quality issues, find any exactly duplicated rows, and flag IQR outliers in the duplicate_rows field?”
Weekly dataset deduplication report
“Every Monday I collect duplication metrics across our data groups. Here are this week's 80 rows with row_id, dataset_group, date, duplicate_rows, and total_rows — please run the quality audit, deduplication, and IQR outlier check on total_rows for me.”
Anomaly detection in duplicate counts
“We've been seeing weird spikes in our duplicate row counts. I have about 60 records from different dataset groups over the past month — can you run all three reports (quality audit, exact row dedup, and IQR outlier flags) on duplicate_rows so I can spot the anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular duplicate-observation data (up to 200 rows) and need three complementary quality analyses in a single call — record auditing, exact deduplication, and IQR outlier detection — without requiring any external data sources, predictions, or live lookups. It is ideal for lightweight, self-contained data quality workflows where the analysis runs on your supplied data alone.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation failure
- Invalid date format (not YYYY-MM-DD) may cause parsing errors
- Null values in the selected numeric field may affect IQR computation
- Payment of 0.01 USDC not included or rejected blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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