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Elevation Samples — Adjacent Row Changes + Date by Category Pivot
x402
Elevation Samples — Adjacent Row Changes + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-05).
Runs two local analytical reports on elevation sample data: adjacent row change detection and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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
Two structured analytical reports: (1) an adjacent row change report showing differences in the selected field (elevation_m or sample_weight) between consecutive rows, and (2) a date-by-category pivot table summarizing the selected field values grouped by date and station_group. No external lookups or live data — all computation is performed locally on the supplied records.
Example use cases
Elevation survey change detection
“I've got 80 rows of elevation readings from two station groups collected over October — can you show me the adjacent row changes and a date-by-category pivot for the elevation_m field?”
Sample weight shift analysis
“Run the adjacent row changes and date-by-category pivot reports on my 120 elevation sample records, but focus on the sample_weight field rather than elevation — I want to see how weights shift between rows and how they break down by station group over time.”
Multi-station elevation data summary
“I need two reports on this elevation dataset with station groups 'alpine-east' and 'alpine-west': one showing how elevation_m changes from row to row, and one pivoting elevation by date and category across all 60 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation sample data (with station groups and dates) and need both sequential row-to-row change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup is needed and you want two complementary reports on the same dataset for $0.01 USDC.
Side effects
- Validation error if fewer than 1 or more than 200 rows are supplied
- Row rejected if required fields (row_id, station_group, date, elevation_m, sample_weight) are missing
- Date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null numeric values for elevation_m or sample_weight may produce gaps in change calculations
- Invalid field enum value (not 'elevation_m' or 'sample_weight') causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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