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Elevation Samples — Base-100 Series + Two-Measure Correlation
x402
Elevation Samples — Base-100 Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes a Base-100 indexed time series and a two-measure Pearson/rank correlation report for user-supplied elevation sample records (elevation_m, sample_weight) — no external data fetched.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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: (1) a Base-100 indexed series where the chosen field (elevation_m or sample_weight) is normalized to 100 at the specified base_index row, with indexed values for each row; and (2) a two-measure correlation report quantifying the statistical relationship between elevation_m and sample_weight across all supplied rows. Both reports operate entirely on the user-supplied data with no external lookups.
Example use cases
Baseline elevation trend for field stations
“I've got 50 elevation readings from two station groups over October 2026 — can you rebase them to a Base-100 series starting from the first row and also correlate elevation_m against sample_weight so I can see how they move together?”
Compare elevation shifts across monitoring groups
“Here are 120 elevation sample records across groups A and B with dates from January through March — please produce a Base-100 index on elevation_m from row index 0 and give me the two-measure correlation report between elevation_m and sample_weight.”
Validate sample weighting vs elevation patterns
“I want to know if my sample weights track with elevation — I have 80 rows of station data with elevation_m and sample_weight values. Can you run the Base-100 series on elevation_m and the two-measure correlation between the two fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 user-supplied elevation sample rows and need both a Base-100 rebased time series AND a two-measure correlation between elevation_m and sample_weight in a single $0.01 call. It is fully self-contained — no live data fetching, external APIs, or prediction — making it ideal for offline or reproducible analytical pipelines. Prefer it over general statistics APIs when your data is already structured with station_group, date, elevation_m, and sample_weight fields and you want two specific analytical outputs (indexing + correlation) in one request.
Side effects
- Fewer than 1 row submitted — schema requires minItems:1
- More than 200 rows submitted — maxItems:200 limit enforced
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- base_index out of range (0–199) or pointing to a non-existent row index
- Null values in both elevation_m and sample_weight may degrade correlation calculation
- Missing required row fields (row_id, station_group, date) cause request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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