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Numeric Precision Comparisons — Category Frequencies & Equal-Width Histogram
x402
Numeric Precision Comparisons — Category Frequencies & 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).
Generates two local analytical reports (category frequency breakdown and equal-width histogram) for supplied numeric precision comparison records containing source and transformed values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Category frequencies + Equal-width histogram: Category frequencies + 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 category frequency report showing how often values fall into each category or group, and (2) an equal-width histogram report dividing the selected numeric field (source_value or transformed_value) into the specified number of bins (1–30, default 5) with counts per bin — all computed locally without external lookups or predictions, for up to 200 supplied rows.
Example use cases
ETL pipeline precision validation
“I ran an ETL transform on my pricing data and I want to see how the source_value and transformed_value differ — can you generate category frequencies and a 10-bin histogram for these 80 rows so I can spot where the precision shifted?”
Data quality audit by group
“I have 120 rows of numeric measurements split across three dataset groups with source and transformed readings. Can you give me the category frequency breakdown and a 5-bin equal-width histogram so I can audit data quality per group?”
Scientific measurement transformation analysis
“We applied a unit conversion to 200 sensor readings and stored them as source_value and transformed_value. Run both the category frequencies and an equal-width histogram with 15 bins on the transformed_value field so I can see how the converted readings are distributed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a moderate dataset (up to 200 rows) of numeric source-vs-transformed value pairs and need both a categorical frequency summary and a histogram distribution report in a single API call for $0.01 USDC. Prefer this over general-purpose analytics when you specifically need equal-width binning and category frequency analysis computed locally without any external data enrichment or prediction.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid bin count outside 1–30 range is rejected
- Rows missing required fields (row_id, dataset_group, date, source_value, transformed_value) fail schema validation
- Malformed date strings not matching YYYY-MM-DD pattern cause rejection
- Values outside ±1,000,000,000,000 range fail validation
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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