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Sampling Observations — String Normalisation + Numeric Interval Filter
x402
Sampling Observations — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises string fields and filters sampling observation rows (sample_value or sample_weight) within a specified numeric interval, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 2 independent analytical reports covering: (1) string-normalised versions of text fields (e.g. dataset_group), and (2) rows filtered to those whose chosen numeric field (sample_value or sample_weight) falls within the specified [minimum, maximum] interval. Results are computed locally with no external lookups. Up to 200 input rows supported per call.
Example use cases
Survey sample quality control
“I have 150 survey sample records with dataset groups and sample_value scores — can you normalise the group name strings and filter to only keep rows where sample_value is between 5 and 95, then give me the two analytical reports?”
Weight-based outlier exclusion
“Filter my sampling observations to only those with sample_weight between 0.5 and 10, and normalise the dataset_group strings — I've got about 80 rows across two groups collected between 2026-01-01 and 2026-06-30.”
Clinical trial data cleanup
“I need to clean up my clinical trial sampling data: normalise all the string fields in dataset_group and keep only the rows where sample_value falls between 50 and 200 — here are my 120 patient observation rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical/text fields and numeric range filtering applied to sampling observation records in a single call, and your dataset is 200 rows or fewer. It is purpose-built for survey, experimental, or monitoring sample data with explicit sample_value and sample_weight fields. Prefer this over general-purpose data tools when you want two bundled local analytical reports without any external data lookups, predictions, or live integrations.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Minimum value greater than maximum value — may return empty filtered set or error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) — schema validation failure
- sample_value or sample_weight outside allowed range (-1e12 to 1e12) — schema rejection
- Payment not completed via x402 protocol — 402 response, no report returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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