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Duplicate Observations Analytics — Exact Row Deduplication + Category Frequencies
x402
Duplicate Observations Analytics — Exact Row Deduplication + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes supplied duplicate-observation records to produce exact row deduplication stats and category-frequency breakdowns across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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) an exact row deduplication report identifying duplicate rows and deduplication statistics from the supplied records, and (2) a category frequency report showing how often each dataset_group appears across the input rows — all computed locally with no external lookups.
Example use cases
Data pipeline deduplication audit
“I've got a batch of 50 observation records from our ingestion pipeline tagged with dataset groups and dates — can you run an exact deduplication report and show me category frequencies so I know which groups are contributing the most duplicate rows?”
Weekly data quality check by team
“Every week I pull duplicate-row counts for each of our dataset groups. Can you analyze these 80 records — each with a row_id, group name, date, duplicate_rows, and total_rows — and give me both a deduplication summary and a breakdown of how often each category appears?”
Comparing duplicate rates across two dataset groups
“I have 30 records split between group-a and group-b, each with a date and duplicate/total row counts. Can you tell me exactly which rows are duplicates and how the two groups compare in terms of category frequency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-041?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate-observation records (with row IDs, group labels, dates, and duplicate/total row counts) and need two fast, local analytical outputs — exact deduplication stats plus category frequency distributions — without any external data lookup or prediction. It is ideal for data quality pipelines processing up to 200 records per call at very low cost.
Side effects
- Submitting more than 200 rows will be rejected (maxItems constraint)
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) will cause validation errors
- Invalid date format (non-YYYY-MM-DD) will fail pattern validation
- Null or out-of-range numeric values for duplicate_rows or total_rows may produce incomplete results
- Payment of 0.01 USDC must be included; missing payment will block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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