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Elevation Samples — Two-Measure Correlation + Keyed Dataset Comparison
x402
Elevation Samples — Two-Measure Correlation + 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 2026-10-24).
Runs two statistical reports (Pearson/Spearman correlation between elevation_m and sample_weight, plus a keyed row-by-row dataset comparison) on up to 200 supplied elevation sample records, entirely offline with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 independent analytical reports: (1) a two-measure correlation analysis between elevation_m and sample_weight (e.g. Pearson/Spearman coefficient and significance), and (2) a keyed dataset comparison report that aligns rows from the two supplied datasets by row_id and highlights differences — all computed locally on the supplied data with no external lookups.
Example use cases
Pre/post survey elevation drift check
“I collected elevation samples at 30 stations before and after a construction project, each row has a row_id, station_group, date, elevation_m, and sample_weight — can you correlate elevation_m with sample_weight in both batches and then do a keyed comparison to see what changed between the two surveys?”
Weighted elevation correlation for research
“Here are 120 rows of elevation sample measurements with elevation_m and sample_weight fields — I need to know how strongly elevation correlates with the sample weight, and I also have a second reference dataset I want to compare them against key by key using row_id.”
Multi-group station data validation
“We have two elevation sample exports from different station groups across 80 rows each — run a correlation between elevation_m and sample_weight on both, and then compare the two datasets row by row to flag any mismatches between them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 elevation sample records with numeric elevation_m and sample_weight fields and need both a correlation analysis and a keyed row-by-row comparison of two datasets in a single low-cost call ($0.01 USDC). It is ideal for offline, deterministic statistical analysis with no need for live data lookups, real-time weather, or external enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, elevation_m, sample_weight, date, station_group) on any row — validation error
- Non-numeric values for elevation_m or sample_weight where a number is expected — schema rejection
- Date field does not match YYYY-MM-DD pattern — validation error
- Empty rows array (minItems: 1 violated) — error response
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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