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Forecast Verification Inputs — Duplicate Key Report + Base-100 Series
x402
Forecast Verification Inputs — Duplicate Key Report + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports on forecast verification data: a duplicate key detection report and a base-100 index series, for up to 200 rows of forecast/observed value pairs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Forecast verification inputs — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 independent reports computed locally against the supplied rows: (1) a duplicate key report identifying any rows sharing the same key fields, and (2) a base-100 index series for the specified field (forecast_value or observed_value) anchored at the chosen base_index row. No external data is fetched.
Example use cases
Duplicate key audit for forecast records
“I have 150 rows of weather forecast vs observed temperature readings with row IDs, station groups, and dates — can you scan them for any duplicate key combinations and flag the offenders?”
Base-100 normalization of observed values
“Take my forecast verification dataset of 80 rows and build a base-100 index series on the observed_value field starting from row index 0, so I can compare trends across station groups on a common scale.”
Data quality check before model evaluation
“Before I run my forecast accuracy model, can you check this batch of 200 forecast/observed value records for duplicate row IDs and also produce a base-100 series on forecast_value starting at index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit forecast verification data for duplicate keys AND produce a normalized base-100 index series in a single low-cost call. It is ideal for pre-processing weather forecast vs observed value datasets before downstream accuracy analysis, when you do not need live weather lookups or external model predictions — just local, deterministic analytical reports on your own supplied data.
Side effects
- Rows array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index exceeds number of rows provided — out-of-range error
- forecast_value or observed_value outside allowed numeric range — validation error
- field enum value not recognized — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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