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Numeric Precision Comparisons — Adjacent Row Changes + Equal-Width Histogram
x402
Numeric Precision Comparisons — Adjacent Row Changes + 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 up to 200 rows of source/transformed numeric pairs, producing two local analytical reports: adjacent row-to-row change detection and an equal-width histogram of value distributions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Adjacent row changes + Equal-width histogram: Adjacent row changes + 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
Two independent analytical reports: (1) an adjacent row changes report listing the delta between consecutive row values for the chosen field, and (2) an equal-width histogram report showing bin boundaries and row counts across up to 30 bins — all computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline transformation audit
“I've got 50 rows from our ETL pipeline with original and transformed numeric values per date — can you run adjacent row change detection and a 10-bin histogram on the source_value field so I can see where big shifts happen?”
Sensor reading drift detection
“Here are 120 sequential sensor readings with both raw and calibrated values by date — analyze adjacent row changes and build a 5-bin equal-width histogram on the transformed_value field to spot any calibration drift.”
Financial data precision QA
“I need to QA our financial rounding logic — I have 200 rows of pre- and post-rounding numbers grouped by account type across dates. Run the adjacent row changes report and a 20-bin histogram on source_value so I can see where precision loss is concentrated.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both sequential change detection (row-to-row deltas) AND distribution analysis (histogram) on numeric source/transformed pairs in a single $0.01 call, without sending data to any external analytics platform. Ideal for data quality checks on ETL outputs, sensor data audits, or financial precision validation where privacy matters and you want local-only computation.
Side effects
- Row count exceeds 200 items — request rejected
- Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- bins parameter outside 1–30 range — validation error
- Payment failure or insufficient USDC balance — transaction not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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