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Forecast Verification — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Forecast Verification — Two-Measure Correlation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-01).
Computes Pearson correlation between forecast and observed values, plus a weighted mean of a secondary measure, for up to 200 forecast verification records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied forecast verification inputs records (forecast_value, observed_value). 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 Pearson or equivalent two-measure correlation coefficient between forecast_value and observed_value across the supplied rows, and (2) a weighted mean of the secondary measure. Results are computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Weather model accuracy evaluation
“I've got 120 rows of forecast vs observed precipitation data by station group for last month — run a two-measure correlation and secondary weighted mean on them so I can see how accurate the model was.”
Seasonal forecast skill benchmarking
“Can you take these 80 daily records of forecast and observed temperature values from our two station groups this fall and compute the correlation plus weighted mean? I need to benchmark our seasonal forecast skill.”
Automated forecast QA pipeline
“As part of our nightly QA, here are today's 50 forecast verification rows with forecast_value and observed_value — please run the two-measure correlation and secondary weighted mean reports on them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC) dual statistical report — correlation plus weighted mean — on forecast verification pairs without requiring live data access, external APIs, or professional meteorological assessment. Ideal for automated pipelines validating forecast model outputs in batch up to 200 rows.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, forecast_value, observed_value, date) — validation error
- Non-numeric values in forecast_value or observed_value — parse failure
- Date strings not matching YYYY-MM-DD pattern — schema validation error
- Insufficient variance in data — correlation may return NaN or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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