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Temperature Observations — String Normalisation + Base-100 Series
x402
Temperature Observations — String Normalisation + 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 2026-10-25).
Performs string normalisation and base-100 series indexing on up to 200 supplied temperature observation records (temperature_c or observation_count), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Temperature observations — String normalisation + Base-100 series: String normalisation + Base-100 series 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
Two analytical reports per call: (1) string-normalised representation of the selected numeric field (temperature_c or observation_count) across the supplied rows, and (2) a base-100 indexed series anchored at the specified base_index row, computed locally against the supplied data with no external lookups.
Example use cases
Baseline temperature trend indexing
“I have daily temperature readings from three weather stations over the past month — can you normalise the temperature_c values and produce a base-100 index starting from the first observation so I can compare trends across groups?”
Observation count series normalisation
“Take these 120 rows of weather observation data with station groups and dates, run string normalisation and base-100 series on the observation_count field using row 0 as the base, and give me the two reports.”
Multi-station climate data standardisation
“I need to standardise temperature readings across my station groups — can you normalise these 80 temperature observation records and index them to base 100 from row index 5 so I can benchmark against a mid-series reference point?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-01-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular temperature or observation-count data (up to 200 rows) and need two specific analytical outputs — string normalisation and a base-100 indexed series — without requiring live data fetches, predictions, or external enrichment. Ideal for offline batch analytical preprocessing of weather station records at very low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) on any row — schema rejection
- base_index out of range (0–199) or exceeding row count — computation error
- Null values in temperature_c or observation_count may affect series calculation
- Missing required row fields (row_id, date) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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