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Sampling Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Sampling Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean 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-to-row changes and secondary-measure weighted mean for up to 200 supplied sampling observation records in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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
Returns two analytical reports: (1) adjacent row changes showing sequential differences between consecutive sample_value (or sample_weight) observations, and (2) a secondary-measure weighted mean computed across the supplied records using sample_weight. Results are derived entirely from supplied data with no external lookup.
Example use cases
Survey response drift analysis
“I have 50 weekly survey responses with sample values and response weights across two demographic groups. Can you calculate the adjacent row changes and weighted mean of sample_value so I can see how sentiment shifted week over week?”
Quality control sampling batch
“Here are 120 manufacturing quality-check readings with dates, sample values, and inspection weights split across three production lines — run the adjacent row changes plus secondary-measure weighted mean on sample_value for me so I can flag anomalies.”
Environmental measurement trend check
“I've got 80 air-quality sensor readings by date with sample_value for the measurement and sample_weight for sensor reliability — can you compute both the row-to-row changes and the weighted mean so I can see the trend and average reliability-adjusted reading?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both adjacent row-to-row change analysis and a secondary-measure weighted mean computed together in one call on up to 200 supplied sampling records. It is ideal for survey, scientific, or quality-control data where you have explicit sample weights and want two distinct statistical perspectives simultaneously without any external data lookups or predictions.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- sample_value or sample_weight outside ±1,000,000,000,000 range triggers schema validation failure
- Empty rows array (minItems: 1 not satisfied) returns error
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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