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Sampling Observations Numeric Interval Filter and Keyed Dataset Comparison
x402
Sampling Observations Numeric Interval Filter and Keyed Dataset Comparison 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).
Runs two local analytical reports on user-supplied sampling observation rows: a numeric interval filter and a keyed dataset comparison across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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 independent analytical reports: (1) a numeric interval filter showing which rows fall within the specified value range for the chosen field (sample_value or sample_weight), and (2) a keyed dataset comparison report matching rows across the primary and secondary datasets by key, highlighting differences in sample values and weights. No external data is fetched; all computation runs locally on the supplied rows.
Example use cases
Survey response value range filtering
“I have 150 survey response records with row IDs, dates, group labels, sample values, and weights — can you filter the sample_value field to only show rows within a specific numeric interval and also compare them against last month's survey baseline dataset?”
A/B experiment sample comparison
“I'm running an A/B test and have two batches of up to 200 observation rows each with sample values and weights — please do a numeric interval filter on sample_weight and a keyed dataset comparison between the control and treatment groups so I can see where they differ.”
Environmental monitoring data cross-check
“I've collected two sets of environmental sensor readings — each with a row ID, date, dataset group, sample value, and sample weight — can you filter the sample_value readings within a valid numeric range and run a keyed comparison across both monitoring datasets to spot discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured sampling observation data (up to 200 rows) and need both a numeric interval filter and a keyed cross-dataset comparison in a single low-cost call. It is ideal for offline/batch analytical scenarios where no external lookup or prediction is needed — just deterministic computation on supplied data. At $0.01 USDC for two reports, it is cost-efficient for lightweight statistical comparison tasks that do not require a full analytics platform.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Null values in sample_value or sample_weight may affect interval filter results
- Invalid date format (non-YYYY-MM-DD) will fail pattern validation
- Values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 not met) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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