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Temperature Observations — Numeric Row Ordering + Base-100 Series
x402
Temperature Observations — Numeric Row Ordering + 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 2026-10-26).
Computes numeric row ordering and a base-100 index series for supplied temperature observation records (temperature_c or observation_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Temperature observations — Numeric row ordering + Base-100 series: Numeric row ordering + 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 independent analytical reports: (1) a numeric row ordering of the supplied records ranked by the chosen field (temperature_c or observation_count), and (2) a base-100 index series expressing each row's value relative to the designated base row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Rank daily station temperature readings
“I've got a week of temperature readings from two weather stations — can you sort them by temperature_c numerically and generate a base-100 index series anchored to the first row so I can see how each day compares?”
Index observation counts across station groups
“Here are 10 rows of weather observation records with observation counts per station group — please compute the numeric row ordering and a base-100 index series for the observation_count field, starting the base at row index 0.”
Compare temperature trends using base index
“I have 50 daily temperature records from a monitoring network and I need two reports: one that ranks the rows by temperature_c value and one that expresses each reading as a base-100 index relative to the record at position 0 — can you run that analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-01-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected temperature observation records (up to 200 rows) and need two lightweight analytical transformations — numeric row ranking and a base-100 index series — computed locally without live data fetching, forecasting, or external API calls. It is cost-effective at $0.01 USDC for both reports together and suits batch post-processing of station observation datasets.
Side effects
- Input array is empty (minItems:1 violated) — request rejected
- More than 200 rows supplied (maxItems:200 exceeded) — request rejected
- Date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty string — validation error
- temperature_c or observation_count outside allowed numeric range — validation error
- field enum value not 'temperature_c' or 'observation_count' — validation error
- base_index out of range 0–199 or exceeds actual row count — computation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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