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Duplicate Observations Numeric Interval Filter and Keyed Dataset Comparison
x402
Duplicate Observations Numeric Interval Filter and Keyed Dataset Comparison 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 duplicate observation records by applying a numeric interval filter and comparing two keyed datasets, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied duplicate observations records (duplicate_rows, total_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 analytical reports: (1) a numeric interval filter report on the selected field (duplicate_rows or total_rows) across the primary dataset, and (2) a keyed dataset comparison report matching rows by row_id/dataset_group/date between the primary and secondary datasets, highlighting differences in duplicate_rows and total_rows values. All analysis is performed locally with no external lookups.
Example use cases
Audit duplicate counts across pipeline runs
“I have two sets of pipeline output records, each with row_id, date, dataset_group, duplicate_rows, and total_rows — can you run an interval filter on duplicate_rows and compare the two datasets key by key to show me where the duplicate counts changed between runs?”
Compare ETL duplicate metrics between environments
“Here are my staging and production duplicate observation records for October — both have the same row_ids and groups. Filter the duplicate_rows field by numeric interval and compare the two datasets so I can see which rows diverged between environments.”
Validate deduplication job effectiveness
“I ran a deduplication job and now I have before and after records with duplicate_rows and total_rows per group and date. Can you apply an interval filter on duplicate_rows and do a keyed comparison of the two datasets to quantify how much the duplication dropped?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous numeric interval filtering and keyed side-by-side comparison of two duplicate-observation datasets without external data lookups or predictions. It is particularly suited for data quality audits, ETL pipeline comparisons, and before/after deduplication analysis where both reports are needed in a single call at low cost.
Side effects
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) in any row causes validation failure
- Exceeding 200 rows in either dataset array returns an error
- Invalid date format (not YYYY-MM-DD) causes rejection
- Null numeric values in duplicate_rows or total_rows may affect interval calculation accuracy
- Mismatched row_ids between primary and secondary datasets may result in unmatched comparison rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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