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Snow Observations Daily Sum Series and Base-100 Series
x402
Snow Observations Daily Sum Series and 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 2026-10-23).
Computes a daily-sum time series and a base-100 indexed series for supplied snow observation records (snow_depth_cm, snowfall_cm) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Snow observations — Daily sum series + Base-100 series: Daily sum series + Base-100 series for supplied snow observations records (snow_depth_cm, snowfall_cm). 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 analytical reports for the supplied snow observation rows: (1) a daily sum series aggregating the chosen field (snow_depth_cm or snowfall_cm) by date, and (2) a base-100 index series normalizing the chosen field relative to the specified base row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Seasonal snowfall trend indexing
“I have daily snowfall readings in cm for two weather stations from last winter — can you compute a base-100 series using the first day as the baseline and also give me the daily sum totals? There are about 90 rows total, field is snowfall_cm.”
Station group snow depth comparison
“I need to compare snow depth accumulation across three station groups over a 30-day period. Please run a daily sum series and a base-100 index starting from row index 0 on my snow_depth_cm data — I'll paste the rows now.”
Snow data quality reporting for a climate analyst
“Can you take these 150 rows of snow observation records with snow_depth_cm and snowfall_cm values and produce a daily sum series plus a base-100 series using snowfall_cm as the field, anchored at base_index 5? I need both reports in one call.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-09-138?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw snow observation records (snow_depth_cm, snowfall_cm) in tabular form and need two standard time-series outputs — a daily sum aggregation and a base-100 normalized index — computed in a single paid call without any external data lookups or forecasting. It is best suited for batch analytical workflows on historical or logged snow data up to 200 rows.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- base_index out of range (0–199) relative to the number of rows provided
- Date values not matching YYYY-MM-DD pattern — validation error
- Null or missing required fields (row_id, station_group, date) — schema validation failure
- Numeric values outside allowed bounds — rejection
- Payment not completed or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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