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Numeric Precision Comparisons — Category Frequencies + Numeric Interval Filter
x402
Numeric Precision Comparisons — Category Frequencies + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes rows of source/transformed numeric pairs, producing category frequency counts by dataset group and a filtered subset of rows within a specified numeric interval — two independent analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter for supplied numeric precision comparisons records (source_value, transformed_value). 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 reports: (1) a frequency table showing how many rows belong to each dataset_group category, and (2) a filtered list of rows where the selected numeric field (source_value or transformed_value) falls within the specified minimum–maximum interval. Up to 200 input rows supported per call.
Example use cases
ETL pipeline numeric validation audit
“I've run a data transformation job and want to check how the values changed — give me frequency counts of each dataset group and filter to only the rows where transformed_value is between 1 and 50, using these 150 rows of source and transformed pairs.”
Quality control interval outlier detection
“Can you analyze my sensor readings and tell me how many records fall in each category group, and also which rows have source_value between -500 and 500? I have 80 rows with row IDs, dates, group labels, source readings, and transformed readings.”
A/B test numeric range segmentation
“I have two experiment groups with numeric scores before and after normalization — show me the frequency breakdown by group and filter to rows where source_value is between 10 and 90 so I can see which are in the mid-range band.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency summary AND a numeric range filter applied to the same dataset of source/transformed numeric pairs in a single low-cost API call. It is ideal for ETL validation, data transformation QA, or any scenario where you want to understand group distribution and isolate records in a value band simultaneously. Prefer this over separate analytics tools when your dataset is under 200 rows and you want a lightweight, offline computation at $0.01 per call with no external data dependencies.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows in the input exceeds the limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- minimum greater than maximum produces an empty interval filter result
- Missing required row fields (row_id, dataset_group, date) cause validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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