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Sampling Observations Analytics: Category Frequencies + Adjacent Row Changes
x402
Sampling Observations Analytics: Category Frequencies + Adjacent Row Changes 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 supplied sampling observation rows to produce two reports: category frequency distributions and adjacent row change metrics, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows (optionally weighted), and (2) an adjacent row change report showing the difference in the selected field (sample_value or sample_weight) between consecutive rows, based on the submitted data only with no external lookups.
Example use cases
Survey response group frequency audit
“I've collected 150 survey sample records, each with a row ID, date, group label, sample value, and weight. Can you give me a frequency breakdown of how often each group appears and show me how the sample_value changes from one row to the next?”
Quality control sequential change detection
“Here are 80 production sampling observations with row IDs, dates, process group labels, measured values, and weights. I need two reports: one showing the count and frequency of each process group, and one showing the change in measured values between adjacent rows.”
Environmental monitoring category summary
“I have 60 environmental sampling records tagged by site group, each with a date, sample value, and sample weight. Please compute the category frequencies across site groups and the adjacent row changes in sample_value so I can spot patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records and need two specific analyses — category frequency distribution and adjacent row change detection — in a single low-cost API call ($0.01 USDC). It is ideal for offline/batch statistical summaries of structured sampling data where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics platforms when you want a lightweight, deterministic computation on supplied data only.
Side effects
- Fewer than 1 row submitted — violates minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row
- Invalid date format not matching YYYY-MM-DD pattern
- Non-numeric or out-of-range values for sample_value or sample_weight
- Invalid enum value for the 'field' parameter (must be sample_value or sample_weight)
- Payment failure via x402 protocol resulting in no response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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