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Duplicate Observations Numeric Row Ordering and Interval Filter Analytics
x402
Duplicate Observations Numeric Row Ordering and Interval Filter Analytics 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 supplied duplicate-observation records by applying numeric row ordering and interval filtering on duplicate_rows or total_rows fields, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter 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 up to 2 analytical reports based on the supplied rows: one applying numeric row ordering and one applying a numeric interval filter on the chosen field (duplicate_rows or total_rows). Each report covers up to 200 input rows and is computed entirely from the supplied data using local analytical engines — no external lookups or predictions are made.
Example use cases
Data quality audit by duplicate rate
“I have a list of 50 dataset observations across groups A and B with their duplicate_rows and total_rows counts for October. Can you run numeric row ordering and filter to only show rows where duplicate_rows is between 5 and 50, and give me the 2 analytical reports?”
Threshold-based duplicate spike detection
“Here are 120 dataset records with duplicate and total row counts — I want them ordered numerically and filtered so I only see entries where total_rows falls between 100 and 500. Run the interval filter on the total_rows field and return both reports.”
Group-level duplicate observation ranking
“I've got observations from three dataset groups with duplicate_rows values ranging from 0 to 200. Please order them numerically and filter for rows where duplicate_rows is between 10 and 80, covering all 200 rows I'm supplying.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-113?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows counts per dataset group and date) and need both numeric ordering and interval-based filtering in a single low-cost call. It is ideal for data quality workflows where you want to rank rows and isolate those within a specific numeric range without any external data lookups or ML predictions. At $0.01 per call for 2 reports and up to 200 rows, it is cost-effective for batch data-quality auditing tasks.
Side effects
- Exceeding 200 rows in the input array returns a validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Minimum value greater than maximum value may produce empty interval-filter results
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not met) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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