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Sampling Observations — Adjacent Row Changes + Base-100 Series
x402
Sampling Observations — Adjacent Row Changes + Base-100 Series 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 a base-100 indexed series for up to 200 sampling observation records with sample values and weights.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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 the difference between each consecutive pair of rows for the selected field, and (2) a base-100 indexed series where each value is expressed relative to the row at base_index set to 100. Both reports are computed locally from the supplied rows with no external lookups.
Example use cases
Tracking survey sample drift over time
“I have weekly survey sample readings for two groups over the past 8 weeks — can you show me the week-over-week changes and a base-100 index starting from week 1 for the sample_value field so I can see how each group has drifted relative to the baseline?”
Indexing product quality samples to reference batch
“I've got 50 quality-control sample measurements across production batches with their weights. Can you build an adjacent-change report and a base-100 series anchored to batch 0 (the reference batch) so I can track how quality is evolving relative to that reference?”
Normalizing clinical trial sample observations
“We collected 120 patient sample observations across two trial arms on different dates. Please compute the row-by-row changes and a base-100 index series starting from the first row for sample_weight so we can compare how weights evolved relative to the starting point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tabular sampling observation records and need both adjacent period-over-period change analysis and a base-100 normalization index in a single low-cost API call. It is ideal for time-ordered survey, quality-control, or scientific sample data where you want to understand incremental movement and relative scaling from a reference point simultaneously. Prefer this over general-purpose analytics tools when you want a lightweight, fixed-price ($0.01 USDC) dual-report output without setting up a full analytics pipeline.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- base_index out of range (0–199) or exceeds the number of rows supplied
- date fields not matching YYYY-MM-DD pattern — schema validation failure
- sample_value or sample_weight outside ±1,000,000,000,000 range
- row_id or dataset_group exceeding 80-character limit
- field enum value not one of 'sample_value' or 'sample_weight' — rejected
- Payment of 0.01 USDC not provided — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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