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Sampling Observations Analytics: Adjacent Row Changes + Two-Measure Correlation
x402
Sampling Observations Analytics: Adjacent Row Changes + 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 adjacent row changes and two-measure correlation for up to 200 supplied sampling observation records (sample_value, sample_weight) in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied sampling observations records (sample_value, sample_weight). 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) adjacent row changes showing how sample_value or sample_weight shifts between consecutive rows, and (2) a two-measure correlation quantifying the statistical relationship between sample_value and sample_weight across the supplied dataset, covering up to 200 rows.
Example use cases
Survey weight trend detection
“I have 150 survey response rows, each with a date, sample_value, and sample_weight. Can you check how the sample_value changes between adjacent rows and whether sample_value and sample_weight are correlated?”
Lab sample sequential drift analysis
“Here are 80 lab measurement records with dates and sample values and weights — can you compute the adjacent row changes and the correlation between those two measures so I can spot any drift?”
Quality control observation review
“I've got 200 quality control observations with sample_value and sample_weight across two dataset groups. Please run the adjacent row changes report and the two-measure correlation report on this data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw sampling observation records (with sample_value and sample_weight fields) and need both an adjacent-row sequential change analysis and a two-measure correlation in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local analytical computation without any external data lookup, prediction, or real-time enrichment. Prefer this over general-purpose statistics tools when you need exactly these two paired reports on structured sampling data at minimal cost ($0.01 USDC).
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause validation errors
- Date field not matching YYYY-MM-DD format causes schema rejection
- sample_value or sample_weight outside ±1,000,000,000,000 range causes validation error
- Too few rows (minItems:1 violated) results in error
- Null values in both measure columns may produce undefined correlation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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