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Numeric Precision Comparisons — Distribution & Adjacent Row Changes Analyzer
x402
Numeric Precision Comparisons — Distribution & Adjacent Row Changes Analyzer 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 numeric source/transformed value pairs, producing two reports: a numeric distribution summary and an adjacent-row change analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 distribution report covering statistical spread, percentiles, min/max, mean, and similar metrics for the selected field across all supplied rows; (2) an adjacent-row change report highlighting differences between consecutive rows ordered by date, useful for detecting anomalies or trend breaks. Both reports are computed locally without external lookups.
Example use cases
ETL pipeline numeric validation
“I have 120 rows from my data pipeline with original and transformed currency values dated from 2025-01-01 to 2025-04-30, all in group 'fx-transform'. Run the numeric distribution and adjacent-row changes report on the transformed_value field so I can see if the transformation is consistent.”
Quality check on sensor readings
“Here are 80 rows of IoT sensor readings before and after calibration, grouped as 'sensor-batch-7'. Analyze the source_value distribution and flag any big jumps between adjacent rows so I can spot calibration errors.”
Financial model output review
“I've got 150 rows of model input and output figures from our pricing engine, labeled dataset_group 'pricing-model-v2'. Give me the numeric distribution and adjacent-row change analysis on the transformed_value column so we can validate the model's output stability.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 numeric records with source and transformed values and need both a statistical distribution summary and a sequential change analysis in a single low-cost call. It is ideal for ETL validation, data pipeline QA, and precision-transformation auditing where no external data sources or predictions are needed — everything is computed analytically from your supplied data.
Side effects
- Rows array is empty or missing — request rejected
- More than 200 rows submitted — exceeds maximum and will error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 — rejected
- Invalid field enum value (not 'source_value' or 'transformed_value') — schema error
- Missing required row fields (row_id, dataset_group, date) — validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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