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Elevation Samples — Numeric Interval Filter + Daily Sum Series
x402
Elevation Samples — Numeric Interval Filter + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs two offline analytical reports on supplied elevation sample records: a numeric interval filter (isolating rows within a value range) and a daily sum series aggregation, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied elevation samples records (elevation_m, 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 computed locally on the submitted data: (1) a filtered subset of the input rows where the chosen numeric field (elevation_m or sample_weight) falls within the specified minimum–maximum interval, and (2) a daily sum series aggregating the chosen field totals by date across all submitted rows. Up to 200 input rows supported per call.
Example use cases
Filtering outlier elevation readings
“Here are 120 elevation readings from our field stations — filter out any rows where elevation_m falls outside the range 5 to 500, and also give me the daily summed elevation_m so I can see the trend over time.”
Daily weight totals for station group
“I've got 80 elevation sample records tagged by station group and date. Run the numeric interval filter on sample_weight between 0.5 and 50, and generate the daily sum series for sample_weight so I can see which days had the highest total weight.”
QA check on elevation sensor batch
“We collected 200 sensor readings of elevation_m and sample_weight across October. Can you filter down to records where elevation_m is between -10 and 200 and give me a daily summed report for elevation_m to spot any anomalous days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 elevation sample records already in hand (no live lookup needed) and need two specific offline analytics in one call: a numeric range filter and a daily sum time series. Prefer this over general-purpose analytics tools when you want a simple, low-cost ($0.01) deterministic computation on structured elevation/weight data without any external data enrichment or prediction.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, elevation_m, sample_weight, station_group) cause validation errors
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- Minimum greater than maximum may return empty interval filter results
- Null numeric values in elevation_m or sample_weight may be excluded from aggregations
- Field enum value not 'elevation_m' or 'sample_weight' causes validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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