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Sampling Observations — String Normalisation + Base-100 Series
x402
Sampling Observations — String Normalisation + 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 string normalisation and a base-100 indexed series for up to 200 sampling observation rows (sample_value, sample_weight), returning two local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — String normalisation + Base-100 series: String normalisation + 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 string-normalised representation of the selected field across all submitted rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally without external lookups or predictions, covering up to 200 input rows.
Example use cases
Rebasing lab measurement series
“I have 6 months of lab sample readings across two groups — can you normalise the sample_value strings and rebase them to 100 starting from the first row so I can compare group-a and group-b on a common scale?”
Weighted survey response analysis
“I've got 150 survey response rows with sample_value scores and sample_weight fields reflecting response counts — please run the string normalisation and base-100 index reports on the sample_weight field, using row index 0 as the base.”
Cross-dataset sampling QA
“Before I merge two sampling datasets, can you run the string normalisation and base-100 series on my combined set of 80 observation rows so I can spot any outliers or scaling issues across the dataset_group categories?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and base-100 series indexing on the same dataset of sampling observations in a single call, especially when working with up to 200 rows of weighted sample data and wanting two complementary analytical views without any external data lookups or live predictions.
Side effects
- More than 200 rows submitted — API rejects with validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- sample_value or sample_weight outside ±1 trillion range triggers validation failure
- base_index out of range (≥ number of rows submitted) causes error
- Empty rows array (minItems: 1 not met) returns validation error
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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