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Temperature Observations — String Normalisation & Numeric Interval Filter
x402
Temperature Observations — String Normalisation & Numeric Interval Filter 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).
Normalises station-group strings and filters temperature observation records by a numeric interval across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Temperature observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied temperature observations records (temperature_c, observation_count). 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: one covering string normalisation of the station_group field across the supplied rows, and one showing which records pass the numeric interval filter for the chosen field (temperature_c or observation_count) within the specified minimum–maximum bounds. Covers up to 200 input rows per call.
Example use cases
Filter out-of-range station temperatures
“I've got a batch of weather station readings — station groups like 'north-zone' and 'south-zone', dates in October 2026, and temperature_c values ranging from -5 to 45. Can you normalise the station group strings and filter to only keep rows where temperature_c is between 0 and 35?”
Clean observation count data for reporting
“I need to validate my observation_count field across 50 weather records — can you normalise the station group names and filter rows so I only see entries where observation_count falls between 1 and 100? The dates run from 2026-09-01 to 2026-10-31.”
Quality-check temperature data before ingestion
“Before I import these 120 temperature observation rows into our pipeline, can you run a string normalisation pass on the station_group field and flag any records where temperature_c falls outside the range of -10 to 50? Dates are all in 2026 and I want two separate reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-01-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have weather or environmental observation data (up to 200 rows) and need both string normalisation on categorical fields and a numeric range/interval filter on temperature or observation counts in a single call. It is a lightweight, offline analytical tool — no live weather lookups or external data enrichment. Prefer it over general-purpose data tools when you specifically need the dual-report output (string normalisation + interval filter) on temperature_c or observation_count fields without external API dependencies.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may produce empty filtered result set
- Null values in temperature_c or observation_count — treated as null and may be excluded from interval filter
- Missing required row fields (row_id) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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