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Sampling Observations — String Normalisation + Numeric Distribution
x402
Sampling Observations — String Normalisation + Numeric Distribution 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).
Analyzes up to 200 sampling observation rows to produce two reports: string normalisation of labels/categories and numeric distribution statistics for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 derived from the supplied rows: (1) a string normalisation report covering the dataset_group and other string fields, cleaning and standardising label variants; and (2) a numeric distribution report for the chosen field (sample_value or sample_weight), including statistics such as min, max, mean, median, percentiles, and spread metrics — all computed locally with no external lookups.
Example use cases
Survey response distribution audit
“I have 150 survey response rows with sample_value scores and sample_weight respondent counts across several dataset_groups — can you run both string normalisation on the group labels and a numeric distribution analysis on sample_value so I can see how scores are spread?”
QC check on lab sample measurements
“Run a string normalisation and numeric distribution report on my lab sampling data: I have 80 rows each with a row_id, date, sample_value measurement, and sample_weight, grouped by experiment type — I want to check for label inconsistencies and see the full numeric spread of sample_weight.”
Weighted population sample analysis
“I've got 200 rows of population sampling observations with sample_value representing income estimates and sample_weight representing population weights across different region groups — can you give me string normalisation for the region labels and a distribution breakdown for sample_value?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 structured sampling observation records and need both string normalisation of categorical/group labels and numeric distribution statistics in a single low-cost call. It is ideal for lightweight, local analytical work on tabular sample data where no external data lookup, prediction, or live enrichment is needed. At $0.01 USDC for two reports, it is well-suited for data QC pipelines, survey analysis, or exploratory statistics on small-to-medium datasets.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in sample_value or sample_weight may reduce distribution report completeness
- Invalid field enum value (anything other than 'sample_value' or 'sample_weight') is rejected
- row_id missing or empty string fails required field validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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