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Sampling Observations — Numeric Row Ordering + Base-100 Series
x402
Sampling Observations — Numeric Row Ordering + 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 numeric row ordering and a base-100 index series for up to 200 supplied sampling observation records with sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric row ordering + Base-100 series: Numeric row ordering + 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 reports for the submitted rows: (1) a numeric row ordering/ranking of the selected field (sample_value or sample_weight), and (2) a base-100 index series normalized relative to the specified base_index row. Results are computed locally with no external lookups. Up to 200 rows are supported per call.
Example use cases
Survey data value ranking
“I have 50 survey sample records with dates, sample values, and weights grouped by region — can you rank them numerically and produce a base-100 index series using sample_value, starting from the first row?”
Quality control sample indexing
“Here are 120 quality control sample observations from our production line, each with a sample_value and sample_weight — please order them numerically and generate a base-100 series anchored at row index 0 so I can track relative changes.”
Weighted population sample normalization
“I've got 80 rows of population sampling data grouped by demographic, each with a sample_value and sample_weight — can you compute the numeric row ordering and a base-100 index for sample_weight starting from row 10?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records and need both a numeric row ranking and a base-100 normalized index series in a single low-cost call. It is ideal for offline/supplied-data analytics where no live lookup or external data enrichment is needed, and when you want two complementary analytical views (ordering + indexing) at once without building your own statistical pipeline.
Side effects
- More than 200 rows submitted — request will be rejected
- Missing required row fields (row_id, dataset_group, date, sample_value, sample_weight) causes validation error
- base_index out of bounds for the number of rows provided
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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