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Numeric Precision Comparisons — Interval Filter + Keyed Dataset Comparison
x402
Numeric Precision Comparisons — Interval Filter + 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 2026-10-15).
Runs two analytical reports on supplied numeric row data: a numeric interval filter and a keyed dataset comparison between source_value and transformed_value fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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
Two analytical reports derived from the supplied row data: (1) a numeric interval filter report showing which rows fall within specified value ranges for the chosen field, and (2) a keyed dataset comparison report matching rows from the primary and secondary datasets by row_id to surface numeric differences or divergences between source_value and transformed_value. No external data is fetched; all analysis runs on the submitted rows.
Example use cases
ETL pipeline transformation audit
“I ran a data transformation on my sales figures and want to check if the output values are correct. Here are the original rows with source_value and transformed_value — can you run an interval filter plus a keyed comparison on source_value to flag where the transformation introduced large differences?”
A/B pricing dataset comparison
“I have two pricing datasets — a control group and a test group — each with up to 150 rows labeled by row_id and dataset_group. Please compare the source_value fields across both datasets using interval filtering and keyed comparison so I can see which price points shifted the most.”
Sensor reading precision validation
“I've got before and after calibration readings from our sensors — up to 200 rows with dates, row IDs, and group labels. Run an interval filter and keyed dataset comparison on the transformed_value field to identify which sensor readings changed outside acceptable ranges.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both interval-based filtering and row-keyed cross-dataset comparison on numeric data in a single API call, especially for validating ETL transformations, auditing before/after datasets, or checking numeric precision changes. It is ideal when you already have both datasets locally and want two analytical reports without any external lookup or live data dependency. At $0.01 USDC for 2 reports on up to 200 rows, it is cost-effective for lightweight offline numeric QA workflows.
Side effects
- Exceeding 200 rows causes rejection — keep each dataset at or below the 200-row limit
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) will cause validation errors
- Dates not matching YYYY-MM-DD pattern will be rejected
- Numeric values outside ±1,000,000,000,000 will be rejected
- Empty rows array (minItems:1 not met) will fail
- Mismatched row_ids between primary and secondary datasets may result in incomplete keyed comparison
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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