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Sampling Observations — Grouped Numeric Summary + Base-100 Series
x402
Sampling Observations — Grouped Numeric Summary + 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 a grouped numeric summary and a base-100 index series from supplied sampling observation records (sample_value, sample_weight) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) broken down by dataset_group, and (2) a base-100 index series showing relative values for the chosen field, anchored at the specified base_index row. No external lookups or predictions are included; all computation is performed on the supplied data.
Example use cases
Survey response analysis by segment
“I've got 80 survey rows split across three segments — 'north', 'south', and 'east' — each with a response score as sample_value and a respondent weight as sample_weight, dated across Q1 2025. Can you give me a grouped numeric summary and a base-100 index series anchored at row 0 on the sample_value field?”
Clinical trial measurement indexing
“I have 120 clinical measurement records labeled as 'placebo' and 'active' groups, with numeric sample values and patient weights, from 2024-06-01 through 2024-09-30. Please compute a grouped numeric summary and a base-100 series anchored at index 10 on the sample_value field so I can track relative change from that baseline.”
Quality control sampling across production lines
“Here are 200 quality control samples from three production lines — 'line-a', 'line-b', and 'line-c' — with measurement values as sample_value and batch sizes as sample_weight, dated throughout 2025. Run a grouped numeric summary and a base-100 series anchored at row 0 on the sample_weight field so I can see relative throughput changes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped descriptive summary and a base-100 normalized index series computed together on the same batch of sampling or survey observation data (up to 200 rows), and you want both reports in a single low-cost call ($0.01 USDC). Prefer this over single-report endpoints when your data has a clear group dimension and you also need to track relative change from a baseline row.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Null sample_value or sample_weight for all rows in a group may yield incomplete group statistics
- base_index out of range (0–199) relative to actual number of rows provided causes indexing error
- Values exceeding ±1,000,000,000,000 rejected by schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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