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Duplicate Observations Analytics — Category Frequencies & Numeric Row Ordering
x402
Duplicate Observations Analytics — Category Frequencies & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Analyzes up to 200 duplicate-observation records, producing two local reports: category frequency distribution by dataset_group and numeric row ordering for duplicate_rows or total_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a numeric row ordering (ranking) of records by the selected field (duplicate_rows or total_rows). Both reports are computed locally without external lookups.
Example use cases
Data quality audit by group
“I've got 150 rows of duplicate observation data across several dataset groups — can you analyze the category frequencies to show me which groups have the most duplicate rows and also rank all the records by their duplicate_rows count?”
Total rows distribution check
“Can you run frequency and row-ordering reports on my duplicate observations dataset using the total_rows field? I want to see how often each dataset_group appears and how the rows rank numerically.”
Pre-pipeline deduplication review
“Before I clean my pipeline data, I want to understand the duplicate landscape — please analyze these 80 records with date, row_id, dataset_group, duplicate_rows, and total_rows fields, give me the category frequency breakdown and numeric ordering using duplicate_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-100?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of duplicate-observation records (up to 200) and need both a categorical frequency breakdown by dataset group AND a numeric ordering/ranking of those records by a count field — all in a single $0.01 call with no external data dependencies. Prefer this over generic analytics tools when your data specifically includes duplicate_rows and total_rows metrics per group, and you want two complementary views (distribution + ordering) in one shot.
Side effects
- Fewer than 1 row or more than 200 rows submitted — violates minItems/maxItems constraint
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern constraint
- field enum value not in ['duplicate_rows','total_rows'] causes rejection
- Null numeric values may affect ordering results
- row_id or dataset_group strings exceeding 80 characters are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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