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Sampling Observations — Numeric Interval Filter + Adjacent Row Changes
x402
Sampling Observations — Numeric Interval Filter + 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).
Applies a numeric interval filter and adjacent row change analysis to supplied sampling observation records (sample_value, sample_weight) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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 local analytical reports: (1) rows from the supplied dataset whose target field (sample_value or sample_weight) falls within the specified [minimum, maximum] interval, and (2) adjacent row change analysis showing value differences between consecutive rows — all computed offline on the supplied data, no external lookups.
Example use cases
Survey response range filtering
“I've got survey data with 80 rows — each has a row_id, group label, date, sample_value, and sample_weight. Can you filter to rows where sample_value is between 10 and 500, and tell me how the sample_value changes between adjacent rows?”
Quality control on lab measurements
“Here are 120 lab measurement records with sample_value and sample_weight fields. Filter them to the interval between -50 and 200 for sample_weight, and show me the adjacent row changes so I can spot sudden jumps.”
Time-series sampling anomaly detection
“I have 60 daily sampling observations grouped by dataset_group. For the sample_value field, give me all rows between 0 and 75 and flag the adjacent row differences so I can see where big shifts happen day to day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records with sample_value and sample_weight fields and need two offline analytical operations — numeric range filtering and adjacent row change detection — in a single low-cost call. Prefer it over general analytics platforms when you want a deterministic, privacy-safe local computation with no external data lookups and a predictable $0.01 flat cost.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, dataset_group, date, sample_value, sample_weight) causes validation error
- minimum greater than maximum produces empty or invalid interval filter results
- Non-date-formatted date strings fail schema pattern validation
- Payment of 0.01 USDC not included or declined via x402 protocol blocks execution
- Null sample_value or sample_weight values may affect change computation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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