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Temperature Observations — Numeric Interval Filter + Base-100 Index
x402
Temperature Observations — Numeric Interval Filter + Base-100 Index is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Filters temperature observation rows by a numeric range and computes a base-100 index series for up to 200 supplied records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Temperature observations — Numeric interval filter + Base-100 series: Numeric interval filter + 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
Returns two analytical reports: (1) the subset of input rows whose selected numeric field (temperature_c or observation_count) falls within the specified [minimum, maximum] interval, and (2) a base-100 indexed series for all rows relative to the specified base_index row, covering up to 200 input records.
Example use cases
Climate station range quality check
“I've got daily temperature readings from three weather stations across October — can you filter out any rows where temperature_c falls outside 0 to 35 degrees and give me a base-100 index starting from the first row so I can see relative changes?”
Heatwave observation analysis
“Here are 120 temperature observation records from our sensor network. Can you filter to only rows between 30 and 50 degrees Celsius and build a base-100 index from row 10 onward, with observation_count as the secondary field?”
Baseline-normalized temperature trend report
“I want to normalize my historical temperature data — please filter the rows to temperatures between -10 and 40°C and produce a base-100 series anchored to the very first observation so I can compare seasonal trends across station groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-01-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected temperature observation records (up to 200 rows) and need both a numeric interval filter and a base-100 normalization in a single call. It is not a live weather data source — use it for offline or batch analytical processing of your own temperature datasets. Ideal when you need two complementary reports (range filter + indexed series) from the same data submission in one low-cost operation.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the maxItems limit
- base_index value out of bounds for the supplied row array
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in temperature_c or observation_count may cause incomplete index computation
- minimum greater than maximum produces an empty filtered result set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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