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Join Coverage Duplicate Key Report and IQR Outlier Flags
x402
Join Coverage Duplicate Key Report 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 2026-10-15).
Analyzes join coverage records (matched_rows, source_rows) for duplicate keys and IQR-based outlier flags across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied join coverage records (matched_rows, source_rows). 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 independent reports: (1) a duplicate key report identifying any row_ids that appear more than once in the supplied data, and (2) IQR outlier flags marking rows whose selected field value (matched_rows or source_rows) falls outside the interquartile range bounds, all computed locally without external lookups.
Example use cases
ETL pipeline join quality audit
“I just ran a join between two datasets and need to check if any row IDs appear more than once and whether any matched_rows values look like outliers — can you run the duplicate key report and IQR outlier flags on these 120 join coverage records, analyzing the matched_rows field?”
Data engineer source row anomaly detection
“I want to audit my source_rows counts across these join coverage records for the past month — can you flag any IQR outliers in the source_rows field and also tell me if there are any duplicate keys in my dataset?”
Group-level join coverage validation
“I have join coverage records split across two dataset groups, group-a and group-b, and I want to know if there are any duplicated row IDs or statistically unusual matched_rows values before I merge them — can you run the duplicate and outlier reports on all 85 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous data quality checks — duplicate key detection and IQR-based outlier flagging — on join coverage metrics (matched_rows, source_rows) in a single low-cost call. Ideal for data engineers validating ETL joins before downstream processing, when you have up to 200 rows and want local statistical analysis without external lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in the selected metric field may affect IQR computation
- Fewer than 4 rows may make IQR calculation statistically meaningless
- Payment of 0.01 USDC not included causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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