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Duplicate Observations Analytics — Category Frequencies + Keyed Dataset Comparison
x402
Duplicate Observations Analytics — Category Frequencies + 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 2026-10-17).
Analyzes duplicate observation records to produce two reports: category frequency breakdowns and a keyed comparison between two datasets, for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Category frequencies + Keyed dataset comparison: Category frequencies + 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) category frequencies showing how duplicate and total row counts distribute across dataset_group values, and (2) a keyed dataset comparison aligning the primary and secondary datasets by row_id to highlight differences in duplicate_rows and total_rows. Both reports are computed locally without external lookups.
Example use cases
Pre/post deduplication audit
“I ran a deduplication job on my pipeline and I want to compare the duplicate_rows counts before and after — can you give me a category frequency report and a keyed comparison between the two snapshots so I can see what changed per group?”
Data quality monitoring by group
“I have up to 200 records with dataset_group, date, duplicate_rows, and total_rows — can you break down the duplicate frequency by category and show me a side-by-side comparison against last week's data?”
Multi-source dataset reconciliation
“We're ingesting data from two sources and both have duplicate_rows and total_rows fields keyed by row_id, dataset_group, and date — please run a category frequency analysis and a keyed comparison so I can see where the two sources diverge on duplicates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category-level frequency breakdown and a row-keyed cross-dataset comparison of duplicate observation data in a single $0.01 call. It is ideal for data quality audits, pipeline validation, and before/after deduplication comparisons where the dataset fits within 200 rows and no external data lookup or prediction is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in duplicate_rows or total_rows may produce incomplete statistics
- Mismatched row_ids between primary and secondary datasets result in unmatched keyed comparison entries
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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