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Numeric Precision Comparisons — Distribution & Row Ordering Analytics
x402
Numeric Precision Comparisons — Distribution & Row Ordering Analytics 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 up to 200 rows of source/transformed numeric pairs, producing two local analytical reports: numeric distribution statistics and row ordering analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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 computed locally: (1) a numeric distribution report covering spread, frequency, and distributional characteristics of the selected field; and (2) a row ordering report showing how rows rank numerically. Both reports cover up to 200 supplied rows across any dataset groups and dates provided.
Example use cases
ETL transformation validation
“I've run a data pipeline that transforms raw revenue figures, and I want to check whether the transformation preserved the ordering and distribution of the original values. Here are 120 rows with row IDs, dataset groups, dates, source values, and transformed values — can you analyze the source_value field and give me distribution and ordering reports?”
Financial metric spread analysis
“I have 80 rows of daily asset price data across two groups with both original and adjusted values. Can you analyze the distribution and row ordering of the transformed_value field so I can see how spread out the adjusted prices are and whether they follow the same sequence as the originals?”
Dataset group comparison before normalization
“Before I normalize my dataset I want to understand the numeric distribution and ordering of the source_value column. Here are 150 rows split across group-a and group-b with dates and row IDs — can you give me the two analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-073?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local (no external lookup) statistical analysis of numeric source-vs-transformed record pairs — specifically distribution characterization and row ordering — on datasets up to 200 rows. It is ideal for validating ETL transformations, auditing numeric data quality, or understanding value spread within grouped time-series data. Prefer it over heavier analytics platforms when the dataset is small, cost matters ($0.01 per call), and no live data or external enrichment is needed.
Side effects
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Date values not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 range are rejected
- Payment of 0.01 USDC not completed results in 402 response
- Empty rows array (minItems: 1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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