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Snow Observations — Duplicate Key Report + Base-100 Series
x402
Snow Observations — 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 2026-10-23).
Analyzes up to 200 snow observation records (snow_depth_cm, snowfall_cm) to produce a duplicate key report and a Base-100 indexed time series for a chosen field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Snow observations — Duplicate key report + Base-100 series: Duplicate key report + 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
Returns two independent analytical reports: (1) a duplicate key report identifying rows sharing the same station_group and date combination, and (2) a Base-100 indexed series for the chosen field (snow_depth_cm or snowfall_cm) relative to the specified base row index. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Audit station snow records for duplicates
“I have 50 daily snow observation records from two station groups and I need to know if any station/date combinations are repeated — can you run a duplicate key report on them? The rows include row_id, station_group, date, snow_depth_cm, and snowfall_cm fields.”
Base-100 indexing for seasonal snow depth
“Take my snow depth readings across 120 days and normalize them to a Base-100 series using the first row as the reference point — I want to compare relative changes in snow_depth_cm over the season across different station groups.”
Data quality check before snow analytics pipeline
“Before I run my winter analytics, can you scan these 180 snow observation rows for any duplicate station/date keys and also produce a Base-100 indexed series on snowfall_cm starting from base index 0? I want both reports in one pass.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-09-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have snow observation tabular data (up to 200 rows) and need both a duplicate key audit and a Base-100 normalized series in a single cheap API call. It is ideal for pre-pipeline data quality checks on snow depth and snowfall measurements, or when you need to index seasonal snow readings relative to a reference point without any external data source or live weather lookup.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, snow_depth_cm, snowfall_cm) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index out of range (0–199) or pointing beyond actual row count causes error
- Null numeric values may affect Base-100 series computation
- Payment failure (insufficient USDC balance) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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