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Numeric Precision Comparisons — String Normalisation + Equal-Width Histogram
x402
Numeric Precision Comparisons — String Normalisation + 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).
Analyzes numeric precision comparison data (source vs transformed values) by producing a string normalization report and an equal-width histogram, locally, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — String normalisation + Equal-width histogram: String normalisation + 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 string normalization report and (2) an equal-width histogram with the specified number of bins, both computed locally from the supplied rows of source_value and transformed_value pairs. No external lookups or predictions are made.
Example use cases
ETL pipeline numeric drift audit
“I've got 150 rows from my ETL pipeline with original and post-transform values for two dataset groups — can you build an equal-width histogram with 8 bins on the transformed_value field and also give me a string normalization report so I can see where precision is shifting?”
Data quality check on financial calculations
“We processed 80 financial records and I need to compare source amounts versus calculated outputs — run a histogram with 5 bins on source_value and normalize the values so I can spot any precision issues across the dataset groups.”
QA validation of ML feature engineering
“Our feature engineering step changes raw scores into scaled values — I have 200 rows with row IDs, dates, and both raw and scaled numbers. Can you produce a string normalization report and a 15-bin equal-width histogram on the transformed_value to help QA the output?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline/local statistical analysis of numeric precision differences between a source and a transformed column, particularly when you want both a normalization summary and a histogram in a single low-cost call. Ideal for ETL auditing, data quality checks, and ML feature validation pipelines where no external data enrichment or prediction is needed.
Side effects
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Bins value outside 1–30 range — rejected with schema error
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — validation failure
- All values null for the selected field — histogram may be empty or error
- Payment not completed — 402 response, endpoint not executed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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