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Sampling Observations — Adjacent Row Changes + Equal-Width Histogram
x402
Sampling Observations — Adjacent Row Changes + Equal-Width Histogram 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 two analytical reports on sampling observation data: sequential adjacent-row changes and an equal-width histogram, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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) an adjacent row changes report showing the difference in the selected field between each consecutive row, and (2) an equal-width histogram report dividing the selected field's range into the specified number of bins and counting observations per bin. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Survey response distribution check
“I have 50 survey response records with sample values and weights — can you build a 10-bin equal-width histogram on sample_value and also show me how the values changed between adjacent rows? Here are the records: [row-1, 2026-01-01, group-a, value=5.2, weight=1], [row-2, 2026-01-02, group-b, value=8.7, weight=2] ... up to row-50.”
Quality control on sequential sensor readings
“We have sequential sensor readings stored as sampling observations — can you compute the adjacent row changes and a 7-bin histogram on the sample_weight field so I can spot anomalies in the sequence? Data covers 120 rows from 2026-03-01 to 2026-06-28.”
Market sampling data distribution summary
“I've got 80 rows of market sampling data with sample values and weights by group. Please run adjacent row change analysis and a 5-bin equal-width histogram on sample_value so I can see how values shift between observations and how they're distributed overall.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both sequential change analysis and histogram distribution analysis on sampling observation data in a single call. It is ideal for datasets up to 200 rows where both row-over-row delta patterns and overall value distribution are relevant. Prefer it over single-report endpoints when you want to save cost by bundling two analyses together for the same dataset.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- bins parameter outside 1–30 range causes validation error
- sample_value or sample_weight outside ±1,000,000,000,000 range rejected
- Missing required fields (row_id, dataset_group, date) cause schema validation failure
- Fewer than 1 row submitted causes minItems error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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