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Numeric Precision Comparisons — Interval Filter + Equal-Width Histogram
x402
Numeric Precision Comparisons — Interval Filter + Equal-Width Histogram 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 local analytical reports on numeric precision comparison data: a numeric interval filter and an equal-width histogram, for up to 200 rows of source_value/transformed_value pairs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 analytical reports: (1) a numeric interval filter listing rows where the selected field (source_value or transformed_value) falls within the specified minimum/maximum range, and (2) an equal-width histogram showing bin boundaries and row counts across the selected field divided into the specified number of bins. All computation is performed locally on the supplied data — no external lookups or predictions.
Example use cases
ETL transformation accuracy audit
“I ran an ETL pipeline and have 200 rows with original source_value and post-transform transformed_value. Can you filter the transformed_value column to only records between 50 and 950, and generate a 10-bin histogram so I can see how the transformation spread the values?”
Sensor precision comparison distribution
“I've got 80 rows of sensor readings comparing raw and calibrated values by date and group. Run a 5-bin equal-width histogram on the source_value field and also filter to readings where source_value is between -100 and 100, so I can spot where most raw readings land.”
Price rounding error analysis
“We have 120 records comparing pre-rounding and post-rounding prices across two product groups. Can you filter for source_value between 10 and 200 and give me a histogram with 8 bins on source_value so I can see the distribution of original prices?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-129?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical views — interval filtering and histogram distribution — on numeric precision comparison data (source vs transformed values) in a single cheap call. Ideal when you have up to 200 rows and want to audit data transformations, check value distributions, or identify records within a numeric range without needing external data lookups or predictions.
Side effects
- Rows array empty or missing required fields (row_id, date, source_value, transformed_value) causes validation error
- More than 200 rows submitted exceeds limit
- Bin count outside 1–30 range rejected
- Minimum greater than maximum produces empty interval filter result
- Null values in selected field may be excluded from histogram computation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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