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Snow Observations Numeric Interval Filter and Keyed Dataset Comparison
x402
Snow 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 2026-10-23).
Applies a numeric interval filter and keyed dataset comparison across two supplied snow observation datasets (snow_depth_cm, snowfall_cm) for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Snow observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied snow observations records (snow_depth_cm, snowfall_cm). 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 numeric interval filter report identifying rows where the selected snow field (snow_depth_cm or snowfall_cm) falls within specified intervals, and (2) a keyed dataset comparison report detailing differences between the primary and secondary datasets matched by row_id. Up to 200 rows are processed per dataset.
Example use cases
Seasonal snow depth range check
“I need to filter our snow station data by numeric interval to see which readings for snow_depth_cm fall within our expected seasonal range, then compare those results against last season's readings for the same station groups. Both datasets have up to 150 rows.”
Compare two station networks snowfall
“Can you compare snowfall_cm records from our northern station group against our southern station group using a keyed dataset comparison? I'll supply both datasets — the primary is our northern network and the secondary is the southern network, both covering dates in November 2026.”
Detect snow depth discrepancies between sensors
“We have two sensor arrays reporting snow_depth_cm for the same locations and dates in December 2026. Can you run a numeric interval filter and keyed comparison to find where the two arrays disagree beyond a certain range? I have both datasets ready with matching row IDs.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-09-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to locally analyze snow observation records offline without any live data lookup, external API calls, or predictions. It is ideal for batch comparing two independent snow datasets (e.g., two sensor networks, two time periods) keyed by row_id, and for filtering snow depth or snowfall values by numeric interval. Best suited for structured snow observation datasets up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- Exceeding 200 rows per dataset returns a validation error
- Missing required fields (row_id, station_group, date, snow_depth_cm, snowfall_cm) causes row rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Null numeric values may be excluded from interval filter results
- Mismatched row_ids between primary and secondary datasets results in unmatched rows in comparison output
- Payment failure or insufficient USDC balance blocks request processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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