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Numeric Precision Comparisons — Grouped Summary & Trailing Mean Analytics
x402
Numeric Precision Comparisons — Grouped Summary & Trailing Mean 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).
Computes a grouped numeric summary and a trailing mean time series for supplied source_value/transformed_value comparison records, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 grouped numeric summary breaking down statistics per dataset_group, and (2) a trailing mean time series computed over the selected field (source_value or transformed_value) using the specified rolling window size — all computed locally with no external lookups.
Example use cases
ETL transformation accuracy review
“I ran an ETL pipeline and have 80 rows of before-and-after numeric values grouped by pipeline stage. Can you give me a grouped summary and a trailing mean series with window 10 on the transformed_value field so I can see where accuracy drifts?”
Financial rounding error analysis
“I have 200 rows comparing original and rounded financial figures across two account groups by date. Run a grouped numeric summary and trailing mean series with window 7 on source_value so I can spot systematic rounding patterns.”
Sensor calibration comparison
“Here are 120 sensor readings with raw and calibrated values split into 'sensor-a' and 'sensor-b' groups — can you produce a grouped numeric summary and a trailing mean series using a window of 4 on the transformed_value field to check calibration consistency over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary and a rolling/trailing mean trend in a single call for numeric comparison pairs (source vs transformed). It is ideal for ETL validation, data quality checks, and transformation accuracy monitoring where you have up to 200 dated rows organized into named groups. Prefer it over single-report alternatives when you want two complementary views — group-level statistics and temporal smoothing — for the same dataset in one $0.01 USDC request.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- source_value or transformed_value outside ±1,000,000,000,000 — validation error
- window larger than number of rows — trailing mean series may return insufficient data points
- Malformed JSON body — parse error
- Missing required fields (row_id, dataset_group, date) — validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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