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Numeric Precision Comparisons — Trailing Mean Series + Two-Measure Correlation
x402
Numeric Precision Comparisons — Trailing Mean Series + Two-Measure Correlation 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 trailing moving average series and a two-measure correlation for up to 200 rows of source_value/transformed_value numeric precision comparison data, returning two analytical reports locally without any external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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 analytical reports: (1) a trailing moving average series computed over the specified window size for the chosen field across all supplied rows, and (2) a Pearson or equivalent two-measure correlation between source_value and transformed_value. Both reports are computed locally using shared analytical engines on up to 200 input rows.
Example use cases
ETL pipeline output validation
“I've transformed a dataset of 120 financial records and want to check how closely my transformed_value tracks the original source_value — can you run a trailing mean series with window 10 and a correlation report so I can see if the transformation is consistent?”
A/B test numeric metric comparison
“I have 150 rows of experiment data split into two groups with source_value as the baseline metric and transformed_value as the variant — run a trailing mean with window size 7 and a two-measure correlation on the source_value field so I can spot any drift.”
Time series smoothing for sensor readings
“I've got 200 daily sensor readings where source_value is the raw reading and transformed_value is calibrated — please compute a rolling mean series with a window of 14 and correlate the two measures so I can assess how well calibration tracks the raw signal.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing moving average series AND a two-measure correlation computed together on a small-to-medium dataset (up to 200 rows) of paired numeric values in a single low-cost call. It is ideal for ETL validation, A/B test analysis, sensor calibration checks, or any workflow comparing an original numeric measure against a transformed version over time. Prefer this over generic computation services when you want local, offline statistical analysis without external data lookups or predictions.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Window size larger than number of rows — trailing mean cannot be computed
- Invalid date format (not YYYY-MM-DD) — schema validation error
- source_value or transformed_value out of allowed range (±1,000,000,000,000) — validation error
- Missing required fields (row_id, date, source_value, transformed_value) — schema rejection
- Payment of 0.01 USDC not received — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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